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51. Common Genetic Variation in Circadian Rhythm Genes and Risk of Epithelial Ovarian Cancer (EOC).

Author: Jim, HSL, Lin, H-Y, Tyrer, JP, Lawrenson, K, Dennis, J, Chornokur, G, Chen, Z, Chen, AY, Permuth-Wey, J, Aben, KK, Anton-Culver, H, Antonenkova, N, Bruinsma, F, Bandera, EV, Bean, YT, Beckmann, MW, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bunker, CH, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, du Bois, A, Despierre, E, Sieh, W, Doherty, JA, Dörk, T, Dürst, M, Easton, DF, Eccles, DM, Edwards, RP, Ekici, AB, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goodman, MT, Gronwald, J, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, CK, Hogdall, E, Hosono, S, Iversen, ES, Jakubowska, A, Jensen, A, Ji, B-T, Karlan, BY, Kellar, M, Kiemeney, LA, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Vierkant, RA, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lim, BK, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, McNeish, I, Menon, U, Milne, RL, Modugno, F, Thomsen, L, Moysich, KB, Ness, RB, Nevanlinna, H, Eilber, U, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Palmieri Weber, R, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Schernhammer, E, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Shu, X-O, Shvetsov, YB, Siddiqui, N, Song, H, Southey, MC, Spiewankiewicz, B, Sucheston-Campbell, L, Teo, S-H, Terry, KL, Thompson, PJ, Tangen, IL, Tworoger, SS, van Altena, AM, Vergote, I, Walsh, CS, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Wu, AH, Wu, X, Woo, Y-L, Yang, H, Zheng, W, Ziogas, A, Amankwah, E, Berchuck, A, Georgia Chenevix-Trench on behalf of the AOCS management group 95,96, Schildkraut, JM, Kelemen, LE, Ramus, SJ, Monteiro, ANA, Goode, EL, Narod, SA, Gayther, SA, Pharoah, PDP, Sellers, TA, Phelan, CM, Jim, HSL, Lin, H-Y, Tyrer, JP, Lawrenson, K, Dennis, J, Chornokur, G, Chen, Z, Chen, AY, Permuth-Wey, J, Aben, KK, Anton-Culver, H, Antonenkova, N, Bruinsma, F, Bandera, EV, Bean, YT, Beckmann, MW, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bunker, CH, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, du Bois, A, Despierre, E, Sieh, W, Doherty, JA, Dörk, T, Dürst, M, Easton, DF, Eccles, DM, Edwards, RP, Ekici, AB, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goodman, MT, Gronwald, J, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, CK, Hogdall, E, Hosono, S, Iversen, ES, Jakubowska, A, Jensen, A, Ji, B-T, Karlan, BY, Kellar, M, Kiemeney, LA, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Vierkant, RA, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lim, BK, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, McNeish, I, Menon, U, Milne, RL, Modugno, F, Thomsen, L, Moysich, KB, Ness, RB, Nevanlinna, H, Eilber, U, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Palmieri Weber, R, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Schernhammer, E, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Shu, X-O, Shvetsov, YB, Siddiqui, N, Song, H, Southey, MC, Spiewankiewicz, B, Sucheston-Campbell, L, Teo, S-H, Terry, KL, Thompson, PJ, Tangen, IL, Tworoger, SS, van Altena, AM, Vergote, I, Walsh, CS, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Wu, AH, Wu, X, Woo, Y-L, Yang, H, Zheng, W, Ziogas, A, Amankwah, E, Berchuck, A, Georgia Chenevix-Trench on behalf of the AOCS management group 95,96, Schildkraut, JM, Kelemen, LE, Ramus, SJ, Monteiro, ANA, Goode, EL, Narod, SA, Gayther, SA, Pharoah, PDP, Sellers, TA, and Phelan, CM
Abstract: Disruption in circadian gene expression, whether due to genetic variation or environmental factors (e.g., light at night, shiftwork), is associated with increased incidence of breast, prostate, gastrointestinal and hematologic cancers and gliomas. Circadian genes are highly expressed in the ovaries where they regulate ovulation; circadian disruption is associated with several ovarian cancer risk factors (e.g., endometriosis). However, no studies have examined variation in germline circadian genes as predictors of ovarian cancer risk and invasiveness. The goal of the current study was to examine single nucleotide polymorphisms (SNPs) in circadian genes BMAL1, CRY2, CSNK1E, NPAS2, PER3, REV1 and TIMELESS and downstream transcription factors KLF10 and SENP3 as predictors of risk of epithelial ovarian cancer (EOC) and histopathologic subtypes. The study included a test set of 3,761 EOC cases and 2,722 controls and a validation set of 44,308 samples including 18,174 (10,316 serous) cases and 26,134 controls from 43 studies participating in the Ovarian Cancer Association Consortium (OCAC). Analysis of genotype data from 36 genotyped SNPs and 4600 imputed SNPs indicated that the most significant association was rs117104877 in BMAL1 (OR = 0.79, 95% CI = 0.68-0.90, p = 5.59 × 10-4]. Functional analysis revealed a significant down regulation of BMAL1 expression following cMYC overexpression and increasing transformation in ovarian surface epithelial (OSE) cells as well as alternative splicing of BMAL1 exons in ovarian and granulosa cells. These results suggest that variation in circadian genes, and specifically BMAL1, may be associated with risk of ovarian cancer, likely through disruption of hormonal pathways.
Published: 2015

52. Genome-wide significant risk associations for mucinous ovarian carcinoma

Author: Kelemen, LE, Lawrenson, K, Tyrer, J, Li, Q, Lee, JM, Seo, J-H, Phelan, CM, Beesley, J, Chen, X, Spindler, TJ, Aben, KKH, Anton-Culver, H, Antonenkova, N, Baker, H, Bandera, EV, Bean, Y, Beckmann, MW, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bruinsma, F, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Chen, YA, Chen, Z, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, Dennis, J, Dicks, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Easton, DT, Edwards, RP, Eilber, U, Ekici, AB, Engelholm, SA, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goode, EL, Goodman, MT, Grownwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, E, Hogdall, C, Hosono, S, Iversen, ES, Jakubowska, A, Jensen, A, Ji, B-T, Karlan, BY, Kellar, M, Kelley, JL, Kiemeney, LA, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, McNeish, I, Menon, U, Modugno, F, Moes-Sosnowska, J, Moysich, KB, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Adenan, NAM, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Weber, RP, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Ramus, SJ, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schildkraut, JM, Schwaab, I, Shu, X-O, Shvetsov, YB, Siddiqui, N, Sieh, W, Song, H, Southey, MC, Sucheston, L, Tangen, IL, Teo, S-H, Terry, KL, Thompson, PJ, Tworoger, SS, van Altena, AM, Van Nieuwenhuysen, E, Vergote, I, Vierkant, RA, Wang-Gohrke, S, Walsh, C, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Sawicki, W, Woo, Y-L, Wu, X, Wu, AH, Yang, H, Zheng, W, Ziogas, A, Sellers, TA, Freedman, ML, Chenevix-Trench, G, Pharoah, PDP, Gayther, SA, Berchuck, A, Kelemen, LE, Lawrenson, K, Tyrer, J, Li, Q, Lee, JM, Seo, J-H, Phelan, CM, Beesley, J, Chen, X, Spindler, TJ, Aben, KKH, Anton-Culver, H, Antonenkova, N, Baker, H, Bandera, EV, Bean, Y, Beckmann, MW, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bruinsma, F, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Chen, YA, Chen, Z, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, Dennis, J, Dicks, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Easton, DT, Edwards, RP, Eilber, U, Ekici, AB, Engelholm, SA, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goode, EL, Goodman, MT, Grownwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, E, Hogdall, C, Hosono, S, Iversen, ES, Jakubowska, A, Jensen, A, Ji, B-T, Karlan, BY, Kellar, M, Kelley, JL, Kiemeney, LA, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, McNeish, I, Menon, U, Modugno, F, Moes-Sosnowska, J, Moysich, KB, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Adenan, NAM, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Weber, RP, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Ramus, SJ, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schildkraut, JM, Schwaab, I, Shu, X-O, Shvetsov, YB, Siddiqui, N, Sieh, W, Song, H, Southey, MC, Sucheston, L, Tangen, IL, Teo, S-H, Terry, KL, Thompson, PJ, Tworoger, SS, van Altena, AM, Van Nieuwenhuysen, E, Vergote, I, Vierkant, RA, Wang-Gohrke, S, Walsh, C, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Sawicki, W, Woo, Y-L, Wu, X, Wu, AH, Yang, H, Zheng, W, Ziogas, A, Sellers, TA, Freedman, ML, Chenevix-Trench, G, Pharoah, PDP, Gayther, SA, and Berchuck, A
Abstract: Genome-wide association studies have identified several risk associations for ovarian carcinomas but not for mucinous ovarian carcinomas (MOCs). Our analysis of 1,644 MOC cases and 21,693 controls with imputation identified 3 new risk associations: rs752590 at 2q13 (P = 3.3 × 10(-8)), rs711830 at 2q31.1 (P = 7.5 × 10(-12)) and rs688187 at 19q13.2 (P = 6.8 × 10(-13)). We identified significant expression quantitative trait locus (eQTL) associations for HOXD9 at 2q31.1 in ovarian (P = 4.95 × 10(-4), false discovery rate (FDR) = 0.003) and colorectal (P = 0.01, FDR = 0.09) tumors and for PAX8 at 2q13 in colorectal tumors (P = 0.03, FDR = 0.09). Chromosome conformation capture analysis identified interactions between the HOXD9 promoter and risk-associated SNPs at 2q31.1. Overexpressing HOXD9 in MOC cells augmented the neoplastic phenotype. These findings provide the first evidence for MOC susceptibility variants and insights into the underlying biology of the disease.
Published: 2015

53. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

Author: Lawrenson, K, Li, Q, Kar, S, Seo, J-H, Tyrer, J, Spindler, TJ, Lee, J, Chen, Y, Karst, A, Drapkin, R, Aben, KKH, Anton-Culver, H, Antonenkova, N, Baker, H, Bandera, EV, Bean, Y, Beckmann, MW, Berchuck, A, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bruinsma, F, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Chenevix-Trench, G, Chen, A, Chen, Z, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, Dennis, J, Dicks, E, Doherty, JA, Doerk, T, Du Bois, A, Duerst, M, Eccles, D, Easton, DT, Edwards, RP, Eilber, U, Ekici, AB, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goode, EL, Goodman, MT, Grownwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, E, Hogdall, C, Hosono, S, Iversen, ES, Jakubowska, A, James, P, Jensen, A, Ji, B-T, Karlan, BY, Kjaer, SK, Kelemen, LE, Kellar, M, Kelley, JL, Kiemeney, LA, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Nevanlinna, H, McNeish, I, Menon, U, Modugno, F, Moysich, KB, Narod, SA, Nedergaard, L, Ness, RB, Azmi, MAN, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Weber, RP, Pearce, CL, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Phelan, CM, Pike, MC, Poole, EM, Ramus, SJ, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schildkraut, JM, Schwaab, I, Sellers, TA, Shu, X-O, Shvetsov, YB, Siddiqui, N, Sieh, W, Song, H, Southey, MC, Sucheston, L, Tangen, IL, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tsai, Y-Y, Tworoger, SS, Van Altena, AM, Van Nieuwenhuysen, E, Vergote, I, Vierkant, RA, Wang-Gohrke, S, Walsh, C, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Woo, Y-L, Wu, X, Wu, AH, Yang, H, Zheng, W, Ziogas, A, Monteiro, A, Pharoah, PD, Gayther, SA, Freedman, ML, Grp, AOCS, Bowtell, D, Webb, PM, Defazio, A, Lawrenson, K, Li, Q, Kar, S, Seo, J-H, Tyrer, J, Spindler, TJ, Lee, J, Chen, Y, Karst, A, Drapkin, R, Aben, KKH, Anton-Culver, H, Antonenkova, N, Baker, H, Bandera, EV, Bean, Y, Beckmann, MW, Berchuck, A, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bruinsma, F, Butzow, R, Campbell, IG, Carty, K, Chang-Claude, J, Chenevix-Trench, G, Chen, A, Chen, Z, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, Dennis, J, Dicks, E, Doherty, JA, Doerk, T, Du Bois, A, Duerst, M, Eccles, D, Easton, DT, Edwards, RP, Eilber, U, Ekici, AB, Fasching, PA, Fridley, BL, Gao, Y-T, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goode, EL, Goodman, MT, Grownwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, E, Hogdall, C, Hosono, S, Iversen, ES, Jakubowska, A, James, P, Jensen, A, Ji, B-T, Karlan, BY, Kjaer, SK, Kelemen, LE, Kellar, M, Kelley, JL, Kiemeney, LA, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Nevanlinna, H, McNeish, I, Menon, U, Modugno, F, Moysich, KB, Narod, SA, Nedergaard, L, Ness, RB, Azmi, MAN, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, Weber, RP, Pearce, CL, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Phelan, CM, Pike, MC, Poole, EM, Ramus, SJ, Risch, HA, Rosen, B, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schildkraut, JM, Schwaab, I, Sellers, TA, Shu, X-O, Shvetsov, YB, Siddiqui, N, Sieh, W, Song, H, Southey, MC, Sucheston, L, Tangen, IL, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tsai, Y-Y, Tworoger, SS, Van Altena, AM, Van Nieuwenhuysen, E, Vergote, I, Vierkant, RA, Wang-Gohrke, S, Walsh, C, Wentzensen, N, Whittemore, AS, Wicklund, KG, Wilkens, LR, Woo, Y-L, Wu, X, Wu, AH, Yang, H, Zheng, W, Ziogas, A, Monteiro, A, Pharoah, PD, Gayther, SA, Freedman, ML, Grp, AOCS, Bowtell, D, Webb, PM, and Defazio, A
Abstract: Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10(-5)). For three cis-eQTL associations (P<1.4 × 10(-3), FDR<0.05) at 1p36 (CDC42), 1p34 (CDCA8) and 2q31 (HOXD9), we evaluate the functional role of each candidate by perturbing expression of each gene in HGSOC precursor cells. Overexpression of HOXD9 increases anchorage-independent growth, shortens population-doubling time and reduces contact inhibition. Chromosome conformation capture identifies an interaction between rs2857532 and the HOXD9 promoter, suggesting this SNP is a leading causal variant. Transcriptomic profiling after HOXD9 overexpression reveals enrichment of HGSOC risk variants within HOXD9 target genes (P=6 × 10(-10) for risk variants (P<10(-4)) within 10 kb of a HOXD9 target gene in ovarian cells), suggesting a broader role for this network in genetic susceptibility to HGSOC.
Published: 2015

54. Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Author: Candido-dos-Reis, FJ, Song, H, Goode, EL, Cunningham, JM, Fridley, BL, Larson, MC, Alsop, K, Dicks, E, Harrington, P, Ramus, SJ, de Fazio, A, Mitchell, G, Fereday, S, Bolton, KL, Gourley, C, Michie, C, Karlan, B, Lester, J, Walsh, C, Cass, I, Olsson, H, Gore, M, Benitez, JJ, Garcia, MJ, Andrulis, I, Mulligan, AM, Glendon, G, Blanco, I, Lazaro, C, Whittemore, AS, McGuire, V, Sieh, W, Montagna, M, Alducci, E, Sadetzki, S, Chetrit, A, Kwong, A, Kjaer, SK, Jensen, A, Hogdall, E, Neuhausen, S, Nussbaum, R, Daly, M, Greene, MH, Mai, PL, Loud, JT, Moysich, K, Toland, AE, Lambrechts, D, Ellis, S, Frost, D, Brenton, JD, Tischkowitz, M, Easton, DF, Antoniou, A, Chenevix-Trench, G, Gayther, SA, Bowtell, D, Pharoah, PDP, Candido-dos-Reis, FJ, Song, H, Goode, EL, Cunningham, JM, Fridley, BL, Larson, MC, Alsop, K, Dicks, E, Harrington, P, Ramus, SJ, de Fazio, A, Mitchell, G, Fereday, S, Bolton, KL, Gourley, C, Michie, C, Karlan, B, Lester, J, Walsh, C, Cass, I, Olsson, H, Gore, M, Benitez, JJ, Garcia, MJ, Andrulis, I, Mulligan, AM, Glendon, G, Blanco, I, Lazaro, C, Whittemore, AS, McGuire, V, Sieh, W, Montagna, M, Alducci, E, Sadetzki, S, Chetrit, A, Kwong, A, Kjaer, SK, Jensen, A, Hogdall, E, Neuhausen, S, Nussbaum, R, Daly, M, Greene, MH, Mai, PL, Loud, JT, Moysich, K, Toland, AE, Lambrechts, D, Ellis, S, Frost, D, Brenton, JD, Tischkowitz, M, Easton, DF, Antoniou, A, Chenevix-Trench, G, Gayther, SA, Bowtell, D, and Pharoah, PDP
Abstract: PURPOSE: To analyze the effect of germline mutations in BRCA1 and BRCA2 on mortality in patients with ovarian cancer up to 10 years after diagnosis. EXPERIMENTAL DESIGN: We used unpublished survival time data for 2,242 patients from two case-control studies and extended survival time data for 4,314 patients from previously reported studies. All participants had been screened for deleterious germline mutations in BRCA1 and BRCA2. Survival time was analyzed for the combined data using Cox proportional hazard models with BRCA1 and BRCA2 as time-varying covariates. Competing risks were analyzed using Fine and Gray model. RESULTS: The combined 10-year overall survival rate was 30% [95% confidence interval (CI), 28%-31%] for non-carriers, 25% (95% CI, 22%-28%) for BRCA1 carriers, and 35% (95% CI, 30%-41%) for BRCA2 carriers. The HR for BRCA1 was 0.53 at time zero and increased over time becoming greater than one at 4.8 years. For BRCA2, the HR was 0.42 at time zero and increased over time (predicted to become greater than 1 at 10.5 years). The results were similar when restricted to 3,202 patients with high-grade serous tumors and to ovarian cancer-specific mortality. CONCLUSIONS: BRCA1/2 mutations are associated with better short-term survival, but this advantage decreases over time and in BRCA1 carriers is eventually reversed. This may have important implications for therapy of both primary and relapsed disease and for analysis of long-term survival in clinical trials of new agents, particularly those that are effective in BRCA1/2 mutation carriers.
Published: 2015

55. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

Author: Antoniou, AC, Kuchenbaecker, KB, Soucy, P, Beesley, J, Chen, X, McGuffog, L, Lee, A, Barrowdale, D, Healey, S, Sinilnikova, OM, Caligo, MA, Loman, N, Harbst, K, Lindblom, A, Arver, B, Rosenquist, R, Karlsson, P, Nathanson, K, Domchek, S, Rebbeck, T, Jakubowska, A, Lubinski, J, Jaworska, K, Durda, K, Złowowcka-Perłowska, E, Osorio, A, Durán, M, Andrés, R, Benítez, J, Hamann, U, Hogervorst, FB, van Os, TA, Verhoef, S, Meijers-Heijboer, HE, Wijnen, J, Gómez Garcia, EB, Ligtenberg, MJ, Kriege, M, Collée, JM, Ausems, MG, Oosterwijk, JC, Peock, S, Frost, D, Ellis, SD, Platte, R, Fineberg, E, Evans, DG, Lalloo, F, Jacobs, C, Eeles, R, Adlard, J, Davidson, R, Cole, T, Cook, J, Paterson, J, Douglas, F, Brewer, C, Hodgson, S, Morrison, PJ, Walker, L, Rogers, MT, Donaldson, A, Dorkins, H, Godwin, AK, Bove, B, Stoppa-Lyonnet, D, Houdayer, C, Buecher, B, de Pauw, A, Mazoyer, S, Calender, A, Léoné, M, Bressac-de Paillerets, B, Caron, O, Sobol, H, Frenay, M, Prieur, F, Ferrer, SU, Mortemousque, I, Buys, S, Daly, M, Miron, A, Terry, MU, Hopper, JL, John, EM, Southey, M, Goldgar, D, Singer, CF, Fink-Retter, A, Tea, MK, Kaulich, DU, Hansen, TV, Nielsen, FC, Barkardottir, RB, Gaudet, M, Kirchhoff, T, Joseph, V, Dutra-Clarke, A, Offit, K, Piedmonte, M, Kirk, J, Cohn, D, Hurteau, J, Byron, J, Fiorica, J, Toland, AE, Montagna, M, Oliani, C, Imyanitov, E, Isaacs, C, Tihomirova, L, Blanco, I, Lazaro, C, Teulé, A, Valle, JD, Gayther, SA, Odunsi, K, Gross, J, Karlan, BY, Olah, E, Teo, SH, Ganz, PA, Beattie, MS, Dorfling, CM, van Rensburg, EU, Diez, O, Kwong, A, Schmutzler, RK, Wappenschmidt, B, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Heidemann, S, Niederacher, D, Preisler-Adams, S, Gadzicki, D, Varon-Mateeva, R, Deissler, H, Gehrig, A, Sutter, C, Kast, K, Fiebig, B, Schäfer, D, Caldes, T, de la Hoya, M, Nevanlinna, H, Muranen, TA, Lespérance, B, Spurdle, AB, Neuhausen, SL, Ding, YC, Wang, X, Fredericksen, Z, Pankratz, VS, Lindor, NM, Peterlongo, P, Manoukian, S, Peissel, B, Zaffaroni, D, Bonanni, B, Bernard, L, Dolcetti, R, Papi, L, Ottini, L, Radice, P, Greene, MH, Loud, JT, Andrulis, IL, Ozcelik, H, Mulligan, AU, Glendon, G, Thomassen, M, Gerdes, AM, Jensen, UB, Skytte, AB, Kruse, TA, Chenevix-Trench, G, Couch, FJ, Simard, J, Easton, DF, CIMBA, SWE-BRCA, HEBON, EMBRACE, GEMO Collaborators Study, and kConFab Investigators
Subjects: skin and connective tissue diseases
Abstract: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2).
Published: 2012

56. Association between BRCA1 and BRCA2 Mutations and Survival in Women with Invasive Epithelial Ovarian Cancer

Author: Fridley, BL, Goode, EL, Høgdall, E, Jensen, A, Cass, I, Kjær, SK, Johnatty, SE, Nicoletto, MO, D'Andrea, E, Montagna, M, Blanco, I, Lázaro, C, Ma, ESK, Daly, MB, Godwin, AK, Eeles, R, Evans, DG, Frost, D, Peock, S, Hartge, P, Gail, MH, Neuhausen, S, García, MJ, Benítez, J, Sinilnikova, O, Easton, DF, Healey, S, McGuffog, L, Barrowdale, D, Despierre, E, Lambrechts, D, Karlan, BY, Ramus, SJ, Sadetzki, S, Goh, C, ChenevixTrench, G, Bolton, KL, Li, AJ, Walsh, C, Gross, J, Steele, L, Beattie, MS, Chan, S, Nussbaum, RL, Moysich, KB, Leuchter, R, Borg, Å, Olsson, H, Kristoffersson, U, Sieh, W, McGuire, V, Whittemore, AS, Tyrer, J, Song, H, Michie, CO, Gourley, C, Gore, ME, Senter, L, Toland, AE, Glendon, G, HirshYechezkel, G, Lubin, F, Chetrit, A, Mai, PL, Greene, MH, Loud, JT, Levine, DA, Gordon, O, GarciaClosas, M, Gayther, SA, Chanock, SJ, Antoniou, AC, Pharoah, PDP, Andrulis, IL, and Kwong, A
Subjects: endocrine system diseases, skin and connective tissue diseases, female genital diseases and pregnancy complications
Abstract: Context: Approximately 10% of women with invasive epithelial ovarian cancer (EOC) carry deleterious germline mutations in BRCA1 or BRCA2. A recent article suggested that BRCA2-related EOC was associated with an improved prognosis, but the effect of BRCA1 remains unclear. Objective: To characterize the survival of BRCA carriers with EOC compared with noncarriers and to determine whether BRCA1 and BRCA2 carriers show similar survival patterns. Design, Setting, and Participants: A pooled analysis of 26 observational studies on the survival of women with ovarian cancer, which included data from 1213 EOC cases with pathogenic germline mutations in BRCA1 (n=909) or BRCA2 (n=304) and from 2666 noncarriers recruited and followed up at variable times between 1987 and 2010 (the median year of diagnosis was 1998). Main Outcome Measure: Five-year overall mortality. Results: The 5-year overall survival was 36% (95% CI, 34%-38%) for noncarriers, 44% (95% CI, 40%-48%) for BRCA1 carriers, and 52% (95% CI, 46%-58%) for BRCA2 carriers. After adjusting for study and year of diagnosis, BRCA1 and BRCA2 mutation carriers showed amore favorable survival than noncarriers (for BRCA1: hazard ratio [HR], 0.78; 95% CI, 0.68-0.89; P, link_to_OA_fulltext
Published: 2012

57. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA

Author: Earp, MA, Kelemen, LE, Magliocco, AM, Swenerton, KD, Chenevix-Trench, G, Lu, Y, Hein, A, Ekici, AB, Beckmann, MW, Fasching, PA, Lambrechts, D, Despierre, E, Vergote, I, Lambrechts, S, Doherty, JA, Rossing, MA, Chang-Claude, J, Rudolph, A, Friel, G, Moysich, KB, Odunsi, K, Sucheston-Campbell, L, Lurie, G, Goodman, MT, Carney, ME, Thompson, PJ, Runnebaum, IB, Duerst, M, Hillemanns, P, Doerk, T, Antonenkova, N, Bogdanova, N, Leminen, A, Nevanlinna, H, Pelttari, LM, Butzow, R, Bunker, CH, Modugno, F, Edwards, RP, Ness, RB, du Bois, A, Heitz, F, Schwaab, I, Harter, P, Karlan, BY, Walsh, C, Lester, J, Jensen, A, Kjaer, SK, Hogdall, CK, Hogdall, E, Lundvall, L, Sellers, TA, Fridley, BL, Goode, EL, Cunningham, JM, Vierkant, RA, Giles, GG, Baglietto, L, Severi, G, Southey, MC, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Levine, DA, Bisogna, M, Schildkraut, JM, Iversen, ES, Weber, RP, Berchuck, A, Cramer, DW, Terry, KL, Poole, EM, Tworoger, SS, Bandera, EV, Chandran, U, Orlow, I, Olson, SH, Wik, E, Salvesen, HB, Bjorge, L, Halle, MK, van Altena, AM, Aben, KKH, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bean, YT, Cybulski, C, Gronwald, J, Lubinski, J, Wentzensen, N, Brinton, LA, Lissowska, J, Garcia-Closas, M, Dicks, E, Dennis, J, Easton, DF, Song, H, Tyrer, JP, Pharoah, PDP, Eccles, D, Campbell, IG, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Flanagan, JM, Paul, J, Brown, R, Phelan, CM, Risch, HA, McLaughlin, JR, Narod, SA, Ziogas, A, Anton-Culver, H, Gentry-Maharaj, A, Menon, U, Gayther, SA, Ramus, SJ, Wu, AH, Pearce, CL, Pike, MC, Dansonka-Mieszkowska, A, Rzepecka, IK, Szafron, LM, Kupryjanczyk, J, Cook, LS, Le, ND, Brooks-Wilson, A, Earp, MA, Kelemen, LE, Magliocco, AM, Swenerton, KD, Chenevix-Trench, G, Lu, Y, Hein, A, Ekici, AB, Beckmann, MW, Fasching, PA, Lambrechts, D, Despierre, E, Vergote, I, Lambrechts, S, Doherty, JA, Rossing, MA, Chang-Claude, J, Rudolph, A, Friel, G, Moysich, KB, Odunsi, K, Sucheston-Campbell, L, Lurie, G, Goodman, MT, Carney, ME, Thompson, PJ, Runnebaum, IB, Duerst, M, Hillemanns, P, Doerk, T, Antonenkova, N, Bogdanova, N, Leminen, A, Nevanlinna, H, Pelttari, LM, Butzow, R, Bunker, CH, Modugno, F, Edwards, RP, Ness, RB, du Bois, A, Heitz, F, Schwaab, I, Harter, P, Karlan, BY, Walsh, C, Lester, J, Jensen, A, Kjaer, SK, Hogdall, CK, Hogdall, E, Lundvall, L, Sellers, TA, Fridley, BL, Goode, EL, Cunningham, JM, Vierkant, RA, Giles, GG, Baglietto, L, Severi, G, Southey, MC, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Levine, DA, Bisogna, M, Schildkraut, JM, Iversen, ES, Weber, RP, Berchuck, A, Cramer, DW, Terry, KL, Poole, EM, Tworoger, SS, Bandera, EV, Chandran, U, Orlow, I, Olson, SH, Wik, E, Salvesen, HB, Bjorge, L, Halle, MK, van Altena, AM, Aben, KKH, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bean, YT, Cybulski, C, Gronwald, J, Lubinski, J, Wentzensen, N, Brinton, LA, Lissowska, J, Garcia-Closas, M, Dicks, E, Dennis, J, Easton, DF, Song, H, Tyrer, JP, Pharoah, PDP, Eccles, D, Campbell, IG, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Flanagan, JM, Paul, J, Brown, R, Phelan, CM, Risch, HA, McLaughlin, JR, Narod, SA, Ziogas, A, Anton-Culver, H, Gentry-Maharaj, A, Menon, U, Gayther, SA, Ramus, SJ, Wu, AH, Pearce, CL, Pike, MC, Dansonka-Mieszkowska, A, Rzepecka, IK, Szafron, LM, Kupryjanczyk, J, Cook, LS, Le, ND, and Brooks-Wilson, A
Abstract: Epithelial ovarian cancer (EOC) is a heterogeneous cancer with both genetic and environmental risk factors. Variants influencing the risk of developing the less-common EOC subtypes have not been fully investigated. We performed a genome-wide association study (GWAS) of EOC according to subtype by pooling genomic DNA from 545 cases and 398 controls of European descent, and testing for allelic associations. We evaluated for replication 188 variants from the GWAS [56 variants for mucinous, 55 for endometrioid and clear cell, 53 for low-malignant potential (LMP) serous, and 24 for invasive serous EOC], selected using pre-defined criteria. Genotypes from 13,188 cases and 23,164 controls of European descent were used to perform unconditional logistic regression under the log-additive genetic model; odds ratios (OR) and 95 % confidence intervals are reported. Nine variants tagging six loci were associated with subtype-specific EOC risk at P < 0.05, and had an OR that agreed in direction of effect with the GWAS results. Several of these variants are in or near genes with a biological rationale for conferring EOC risk, including ZFP36L1 and RAD51B for mucinous EOC (rs17106154, OR = 1.17, P = 0.029, n = 1,483 cases), GRB10 for endometrioid and clear cell EOC (rs2190503, P = 0.014, n = 2,903 cases), and C22orf26/BPIL2 for LMP serous EOC (rs9609538, OR = 0.86, P = 0.0043, n = 892 cases). In analyses that included the 75 GWAS samples, the association between rs9609538 (OR = 0.84, P = 0.0007) and LMP serous EOC risk remained statistically significant at P < 0.0012 adjusted for multiple testing. Replication in additional samples will be important to verify these results for the less-common EOC subtypes.
Published: 2014

58. Evidence for a time-dependent association between FOLR1 expression and survival from ovarian carcinoma: implications for clinical testing. An Ovarian Tumour Tissue Analysis consortium study

Author: Koebel, M, Madore, J, Ramus, SJ, Clarke, BA, Pharoah, PDP, Deen, S, Bowtell, DD, Odunsi, K, Menon, U, Morrison, C, Lele, S, Bshara, W, Sucheston, L, Beckmann, MW, Hein, A, Thiel, FC, Hartmann, A, Wachter, DL, Anglesio, MS, Hogdall, E, Jensen, A, Hogdall, C, Kalli, KR, Fridley, BL, Keeney, GL, Fogarty, ZC, Vierkant, RA, Liu, S, Cho, S, Nelson, G, Ghatage, P, Gentry-Maharaj, A, Gayther, SA, Benjamin, E, Widschwendter, M, Intermaggio, MP, Rosen, B, Bernardini, MQ, Mackay, H, Oza, A, Shaw, P, Jimenez-Linan, M, Driver, KE, Alsop, J, Mack, M, Koziak, JM, Steed, H, Ewanowich, C, DeFazio, A, Chenevix-Trench, G, Fereday, S, Gao, B, Johnatty, SE, George, J, Galletta, L, Goode, EL, Kjaer, SK, Huntsman, DG, Fasching, PA, Moysich, KB, Brenton, JD, Kelemen, LE, Koebel, M, Madore, J, Ramus, SJ, Clarke, BA, Pharoah, PDP, Deen, S, Bowtell, DD, Odunsi, K, Menon, U, Morrison, C, Lele, S, Bshara, W, Sucheston, L, Beckmann, MW, Hein, A, Thiel, FC, Hartmann, A, Wachter, DL, Anglesio, MS, Hogdall, E, Jensen, A, Hogdall, C, Kalli, KR, Fridley, BL, Keeney, GL, Fogarty, ZC, Vierkant, RA, Liu, S, Cho, S, Nelson, G, Ghatage, P, Gentry-Maharaj, A, Gayther, SA, Benjamin, E, Widschwendter, M, Intermaggio, MP, Rosen, B, Bernardini, MQ, Mackay, H, Oza, A, Shaw, P, Jimenez-Linan, M, Driver, KE, Alsop, J, Mack, M, Koziak, JM, Steed, H, Ewanowich, C, DeFazio, A, Chenevix-Trench, G, Fereday, S, Gao, B, Johnatty, SE, George, J, Galletta, L, Goode, EL, Kjaer, SK, Huntsman, DG, Fasching, PA, Moysich, KB, Brenton, JD, and Kelemen, LE
Abstract: BACKGROUND: Folate receptor 1 (FOLR1) is expressed in the majority of ovarian carcinomas (OvCa), making it an attractive target for therapy. However, clinical trials testing anti-FOLR1 therapies in OvCa show mixed results and require better understanding of the prognostic relevance of FOLR1 expression. We conducted a large study evaluating FOLR1 expression with survival in different histological types of OvCa. METHODS: Tissue microarrays composed of tumour samples from 2801 patients in the Ovarian Tumour Tissue Analysis (OTTA) consortium were assessed for FOLR1 expression by centralised immunohistochemistry. We estimated associations for overall (OS) and progression-free (PFS) survival using adjusted Cox regression models. High-grade serous ovarian carcinomas (HGSC) from The Cancer Genome Atlas (TCGA) were evaluated independently for association between FOLR1 mRNA upregulation and survival. RESULTS: FOLR1 expression ranged from 76% in HGSC to 11% in mucinous carcinomas in OTTA. For HGSC, the association between FOLR1 expression and OS changed significantly during the years following diagnosis in OTTA (Pinteraction=0.01, N=1422) and TCGA (Pinteraction=0.01, N=485). In OTTA, particularly for FIGO stage I/II tumours, patients with FOLR1-positive HGSC showed increased OS during the first 2 years only (hazard ratio=0.44, 95% confidence interval=0.20-0.96) and patients with FOLR1-positive clear cell carcinomas (CCC) showed decreased PFS independent of follow-up time (HR=1.89, 95% CI=1.10-3.25, N=259). In TCGA, FOLR1 mRNA upregulation in HGSC was also associated with increased OS during the first 2 years following diagnosis irrespective of tumour stage (HR: 0.48, 95% CI: 0.25-0.94). CONCLUSIONS: FOLR1-positive HGSC tumours were associated with an increased OS in the first 2 years following diagnosis. Patients with FOLR1-negative, poor prognosis HGSC would be unlikely to benefit from anti-FOLR1 therapies. In contrast, a decreased PFS interval was observed for FOLR1-positive
Published: 2014

59. Identification and molecular characterization of a new ovarian cancer susceptibility locus at 17q21.31

Author: Permuth-Wey, J, Lawrenson, K, Shen, HC, Velkova, A, Tyrer, JP, Chen, Z, Lin, H-Y, Chen, YA, Tsai, Y-Y, Qu, X, Ramus, SJ, Karevan, R, Lee, J, Lee, N, Larson, MC, Aben, KK, Anton-Culver, H, Antonenkova, N, Antoniou, AC, Armasu, SM, Bacot, F, Baglietto, L, Bandera, EV, Barnholtz-Sloan, J, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Cai, Q, Campbell, I, Chang-Claude, J, Chanock, S, Chenevix-Trench, G, Cheng, JQ, Cicek, MS, Coetzee, GA, Cook, LS, Couch, FJ, Cramer, DW, Cunningham, JM, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Easton, DF, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, DA, Flanagan, JM, Garcia-Closas, M, Gentry-Maharaj, A, Giles, GG, Glasspool, RM, Gonzalez-Bosquet, J, Goodman, MT, Gore, M, Gorski, B, Gronwald, J, Hall, P, Halle, MK, Harter, P, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, CK, Hogdall, E, Hosono, S, Jakubowska, A, Jensen, A, Jim, H, Kalli, KR, Karlan, BY, Kaye, SB, Kelemen, LE, Kiemeney, LA, Kikkawa, F, Konecny, GE, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Lancaster, JM, Le, ND, Leminen, A, Levine, DA, Liang, D, Lim, BK, Lin, J, Lissowska, J, Lu, KH, Lubinski, J, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, SH, Orlow, I, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Raska, P, Renner, SP, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Shvetsov, YB, Sieh, W, Song, H, Southey, MC, Spiewankiewicz, B, Stram, D, Sutphen, R, Teo, S-H, Terry, KL, Tessier, DC, Thompson, PJ, Tworoger, SS, van Altena, AM, Vergote, I, Vierkant, RA, Vincent, D, Vitonis, AF, Wang-Gohrke, S, Weber, RP, Wentzensen, N, Whittemore, AS, Wik, E, Wilkens, LR, Winterhoff, B, Woo, YL, Wu, AH, Xiang, Y-B, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Phelan, CM, Iversen, E, Schildkraut, JM, Berchuck, A, Fridley, BL, Goode, EL, Pharoah, PDP, Monteiro, ANA, Sellers, TA, Gayther, SA, Permuth-Wey, J, Lawrenson, K, Shen, HC, Velkova, A, Tyrer, JP, Chen, Z, Lin, H-Y, Chen, YA, Tsai, Y-Y, Qu, X, Ramus, SJ, Karevan, R, Lee, J, Lee, N, Larson, MC, Aben, KK, Anton-Culver, H, Antonenkova, N, Antoniou, AC, Armasu, SM, Bacot, F, Baglietto, L, Bandera, EV, Barnholtz-Sloan, J, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Cai, Q, Campbell, I, Chang-Claude, J, Chanock, S, Chenevix-Trench, G, Cheng, JQ, Cicek, MS, Coetzee, GA, Cook, LS, Couch, FJ, Cramer, DW, Cunningham, JM, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Easton, DF, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, DA, Flanagan, JM, Garcia-Closas, M, Gentry-Maharaj, A, Giles, GG, Glasspool, RM, Gonzalez-Bosquet, J, Goodman, MT, Gore, M, Gorski, B, Gronwald, J, Hall, P, Halle, MK, Harter, P, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, CK, Hogdall, E, Hosono, S, Jakubowska, A, Jensen, A, Jim, H, Kalli, KR, Karlan, BY, Kaye, SB, Kelemen, LE, Kiemeney, LA, Kikkawa, F, Konecny, GE, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Lancaster, JM, Le, ND, Leminen, A, Levine, DA, Liang, D, Lim, BK, Lin, J, Lissowska, J, Lu, KH, Lubinski, J, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, SH, Orlow, I, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Raska, P, Renner, SP, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Shvetsov, YB, Sieh, W, Song, H, Southey, MC, Spiewankiewicz, B, Stram, D, Sutphen, R, Teo, S-H, Terry, KL, Tessier, DC, Thompson, PJ, Tworoger, SS, van Altena, AM, Vergote, I, Vierkant, RA, Vincent, D, Vitonis, AF, Wang-Gohrke, S, Weber, RP, Wentzensen, N, Whittemore, AS, Wik, E, Wilkens, LR, Winterhoff, B, Woo, YL, Wu, AH, Xiang, Y-B, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Phelan, CM, Iversen, E, Schildkraut, JM, Berchuck, A, Fridley, BL, Goode, EL, Pharoah, PDP, Monteiro, ANA, Sellers, TA, and Gayther, SA
Abstract: Epithelial ovarian cancer (EOC) has a heritable component that remains to be fully characterized. Most identified common susceptibility variants lie in non-protein-coding sequences. We hypothesized that variants in the 3' untranslated region at putative microRNA (miRNA)-binding sites represent functional targets that influence EOC susceptibility. Here, we evaluate the association between 767 miRNA-related single-nucleotide polymorphisms (miRSNPs) and EOC risk in 18,174 EOC cases and 26,134 controls from 43 studies genotyped through the Collaborative Oncological Gene-environment Study. We identify several miRSNPs associated with invasive serous EOC risk (odds ratio=1.12, P=10(-8)) mapping to an inversion polymorphism at 17q21.31. Additional genotyping of non-miRSNPs at 17q21.31 reveals stronger signals outside the inversion (P=10(-10)). Variation at 17q21.31 is associated with neurological diseases, and our collaboration is the first to report an association with EOC susceptibility. An integrated molecular analysis in this region provides evidence for ARHGAP27 and PLEKHM1 as candidate EOC susceptibility genes.
Published: 2013

60. Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study

Author: Sieh, W, Koebel, M, Longacre, TA, Bowtell, DD, defazio, A, Goodman, MT, Hogdall, E, Deen, S, Wentzensen, N, Moysich, KB, Brenton, JD, Clarke, BA, Menon, U, Gilks, CB, Kim, A, Madore, J, Fereday, S, George, J, Galletta, L, Lurie, G, Wilkens, LR, Carney, ME, Thompson, PJ, Matsuno, RK, Kjaer, SK, Jensen, A, Hogdall, C, Kalli, KR, Fridley, BL, Keeney, GL, Vierkant, RA, Cunningham, JM, Brinton, LA, Yang, HP, Sherman, ME, Garcia-Closas, M, Lissowska, J, Odunsi, K, Morrison, C, Lele, S, Bshara, W, Sucheston, L, Jimenez-Linan, M, Driver, K, Alsop, J, Mack, M, McGuire, V, Rothstein, JH, Rosen, BP, Bernardini, MQ, Mackay, H, Oza, A, Wozniak, EL, Benjamin, E, Gentry-Maharaj, A, Gayther, SA, Tinker, AV, Prentice, LM, Chow, C, Anglesio, MS, Johnatty, SE, Chenevix-Trench, G, Whittemore, AS, Pharoah, PDP, Goode, EL, Huntsman, DG, Ramus, SJ, Sieh, W, Koebel, M, Longacre, TA, Bowtell, DD, defazio, A, Goodman, MT, Hogdall, E, Deen, S, Wentzensen, N, Moysich, KB, Brenton, JD, Clarke, BA, Menon, U, Gilks, CB, Kim, A, Madore, J, Fereday, S, George, J, Galletta, L, Lurie, G, Wilkens, LR, Carney, ME, Thompson, PJ, Matsuno, RK, Kjaer, SK, Jensen, A, Hogdall, C, Kalli, KR, Fridley, BL, Keeney, GL, Vierkant, RA, Cunningham, JM, Brinton, LA, Yang, HP, Sherman, ME, Garcia-Closas, M, Lissowska, J, Odunsi, K, Morrison, C, Lele, S, Bshara, W, Sucheston, L, Jimenez-Linan, M, Driver, K, Alsop, J, Mack, M, McGuire, V, Rothstein, JH, Rosen, BP, Bernardini, MQ, Mackay, H, Oza, A, Wozniak, EL, Benjamin, E, Gentry-Maharaj, A, Gayther, SA, Tinker, AV, Prentice, LM, Chow, C, Anglesio, MS, Johnatty, SE, Chenevix-Trench, G, Whittemore, AS, Pharoah, PDP, Goode, EL, Huntsman, DG, and Ramus, SJ
Abstract: BACKGROUND: Few biomarkers of ovarian cancer prognosis have been established, partly because subtype-specific associations might be obscured in studies combining all histopathological subtypes. We examined whether tumour expression of the progesterone receptor (PR) and oestrogen receptor (ER) was associated with subtype-specific survival. METHODS: 12 studies participating in the Ovarian Tumor Tissue Analysis consortium contributed tissue microarray sections and clinical data to our study. Participants included in our analysis had been diagnosed with invasive serous, mucinous, endometrioid, or clear-cell carcinomas of the ovary. For a patient to be eligible, tissue microarrays, clinical follow-up data, age at diagnosis, and tumour grade and stage had to be available. Clinical data were obtained from medical records, cancer registries, death certificates, pathology reports, and review of histological slides. PR and ER statuses were assessed by central immunohistochemistry analysis done by masked pathologists. PR and ER staining was defined as negative (<1% tumour cell nuclei), weak (1 to <50%), or strong (≥50%). Associations with disease-specific survival were assessed. FINDINGS: 2933 women with invasive epithelial ovarian cancer were included: 1742 with high-grade serous carcinoma, 110 with low-grade serous carcinoma, 207 with mucinous carcinoma, 484 with endometrioid carcinoma, and 390 with clear-cell carcinoma. PR expression was associated with improved disease-specific survival in endometrioid carcinoma (log-rank p<0·0001) and high-grade serous carcinoma (log-rank p=0·0006), and ER expression was associated with improved disease-specific survival in endometrioid carcinoma (log-rank p<0·0001). We recorded no significant associations for mucinous, clear-cell, or low-grade serous carcinoma. Positive hormone-receptor expression (weak or strong staining for PR or ER, or both) was associated with significantly improved disease-specific survival in endometrioid carcinoma
Published: 2013

61. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer

Author: Pharoah, PDP, Tsai, Y-Y, Ramus, SJ, Phelan, CM, Goode, EL, Lawrenson, K, Buckley, M, Fridley, BL, Tyrer, JP, Shen, H, Weber, R, Karevan, R, Larson, MC, Song, H, Tessier, DC, Bacot, F, Vincent, D, Cunningham, JM, Dennis, J, Dicks, E, Aben, KK, Anton-Culver, H, Antonenkova, N, Armasu, SM, Baglietto, L, Bandera, EV, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brenton, JD, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Campbell, I, Carney, ME, Carvalho, RS, Chang-Claude, J, Chen, YA, Chen, Z, Chow, W-H, Cicek, MS, Coetzee, G, Cook, LS, Cramer, DW, Cybulski, C, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, D, Flanagan, J, Gao, Y-T, Garcia-Closas, M, Gentry-Maharaj, A, Giles, G, Gjyshi, A, Gore, M, Gronwald, J, Guo, Q, Halle, MK, Harter, P, Hein, A, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, E, Hogdall, CK, Hosono, S, Jakubowska, A, Jensen, A, Kalli, KR, Karlan, BY, Kelemen, LE, Kiemeney, LA, Kjaer, SK, Konecny, GE, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, N, Lee, J, Leminen, A, Lim, BK, Lissowska, J, Lubinski, J, Lundvall, L, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, S, Orlow, I, Paul, J, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Qu, X, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, I, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Sieh, W, Southey, MC, Spellman, P, Tajima, K, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tworoger, SS, van Altena, AM, van den Berg, D, Vergote, I, Vierkant, RA, Vitonis, AF, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wik, E, Winterhoff, B, Woo, YL, Wu, AH, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Goodman, MT, Hall, P, Easton, DF, Pearce, CL, Berchuck, A, Chenevix-Trench, G, Iversen, E, Monteiro, ANA, Gayther, SA, Schildkraut, JM, Sellers, TA, Pharoah, PDP, Tsai, Y-Y, Ramus, SJ, Phelan, CM, Goode, EL, Lawrenson, K, Buckley, M, Fridley, BL, Tyrer, JP, Shen, H, Weber, R, Karevan, R, Larson, MC, Song, H, Tessier, DC, Bacot, F, Vincent, D, Cunningham, JM, Dennis, J, Dicks, E, Aben, KK, Anton-Culver, H, Antonenkova, N, Armasu, SM, Baglietto, L, Bandera, EV, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brenton, JD, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Campbell, I, Carney, ME, Carvalho, RS, Chang-Claude, J, Chen, YA, Chen, Z, Chow, W-H, Cicek, MS, Coetzee, G, Cook, LS, Cramer, DW, Cybulski, C, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, D, Flanagan, J, Gao, Y-T, Garcia-Closas, M, Gentry-Maharaj, A, Giles, G, Gjyshi, A, Gore, M, Gronwald, J, Guo, Q, Halle, MK, Harter, P, Hein, A, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, E, Hogdall, CK, Hosono, S, Jakubowska, A, Jensen, A, Kalli, KR, Karlan, BY, Kelemen, LE, Kiemeney, LA, Kjaer, SK, Konecny, GE, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, N, Lee, J, Leminen, A, Lim, BK, Lissowska, J, Lubinski, J, Lundvall, L, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, S, Orlow, I, Paul, J, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Qu, X, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, I, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Sieh, W, Southey, MC, Spellman, P, Tajima, K, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tworoger, SS, van Altena, AM, van den Berg, D, Vergote, I, Vierkant, RA, Vitonis, AF, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wik, E, Winterhoff, B, Woo, YL, Wu, AH, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Goodman, MT, Hall, P, Easton, DF, Pearce, CL, Berchuck, A, Chenevix-Trench, G, Iversen, E, Monteiro, ANA, Gayther, SA, Schildkraut, JM, and Sellers, TA
Abstract: Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer.
Published: 2013

62. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer

Author: Shen, H, Fridley, BL, Song, H, Lawrenson, K, Cunningham, JM, Ramus, SJ, Cicek, MS, Tyrer, J, Stram, D, Larson, MC, Koebel, M, Ziogas, A, Zheng, W, Yang, HP, Wu, AH, Wozniak, EL, Woo, YL, Winterhoff, B, Wik, E, Whittemore, AS, Wentzensen, N, Weber, RP, Vitonis, AF, Vincent, D, Vierkant, RA, Vergote, I, Van Den Berg, D, Van Altena, AM, Tworoger, SS, Thompson, PJ, Tessier, DC, Terry, KL, Teo, S-H, Templeman, C, Stram, DO, Southey, MC, Sieh, W, Siddiqui, N, Shvetsov, YB, Shu, X-O, Shridhar, V, Wang-Gohrke, S, Severi, G, Schwaab, I, Salvesen, HB, Rzepecka, IK, Runnebaum, IB, Rossing, MA, Rodriguez-Rodriguez, L, Risch, HA, Renner, SP, Poole, EM, Pike, MC, Phelan, CM, Pelttari, LM, Pejovic, T, Paul, J, Orlow, I, Omar, SZ, Olson, SH, Odunsi, K, Nickels, S, Nevanlinna, H, Ness, RB, Narod, SA, Nakanishi, T, Moysich, KB, Monteiro, ANA, Moes-Sosnowska, J, Modugno, F, Menon, U, McLaughlin, JR, McGuire, V, Matsuo, K, Adenan, NAM, Massuger, LFAG, Lurie, G, Lundvall, L, Lubinski, J, Lissowska, J, Levine, DA, Leminen, A, Lee, AW, Le, ND, Lambrechts, S, Lambrechts, D, Kupryjanczyk, J, Krakstad, C, Konecny, GE, Kjaer, SK, Kiemeney, LA, Kelemen, LE, Keeney, GL, Karlan, BY, Karevan, R, Kalli, KR, Kajiyama, H, Ji, B-T, Jensen, A, Jakubowska, A, Iversen, E, Hosono, S, Hogdall, CK, Hogdall, E, Hoatlin, M, Hillemanns, P, Heitz, F, Hein, R, Harter, P, Halle, MK, Hall, P, Gronwald, J, Gore, M, Goodman, MT, Giles, GG, Gentry-Maharaj, A, Garcia-Closas, M, Flanagan, JM, Fasching, PA, Ekici, AB, Edwards, R, Eccles, D, Easton, DF, Duerst, M, du Bois, A, Doerk, T, Doherty, JA, Despierre, E, Dansonka-Mieszkowska, A, Cybulski, C, Cramer, DW, Cook, LS, Chen, X, Charbonneau, B, Chang-Claude, J, Campbell, I, Butzow, R, Bunker, CH, Brueggmann, D, Brown, R, Brooks-Wilson, A, Brinton, LA, Bogdanova, N, Block, MS, Benjamin, E, Beesley, J, Beckmann, MW, Bandera, EV, Baglietto, L, Bacot, F, Armasu, SM, Antonenkova, N, Anton-Culver, H, Aben, KK, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Schildkraut, JM, Sellers, TA, Huntsman, D, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Pharoah, PDP, Laird, PW, Goode, EL, Pearce, CL, Shen, H, Fridley, BL, Song, H, Lawrenson, K, Cunningham, JM, Ramus, SJ, Cicek, MS, Tyrer, J, Stram, D, Larson, MC, Koebel, M, Ziogas, A, Zheng, W, Yang, HP, Wu, AH, Wozniak, EL, Woo, YL, Winterhoff, B, Wik, E, Whittemore, AS, Wentzensen, N, Weber, RP, Vitonis, AF, Vincent, D, Vierkant, RA, Vergote, I, Van Den Berg, D, Van Altena, AM, Tworoger, SS, Thompson, PJ, Tessier, DC, Terry, KL, Teo, S-H, Templeman, C, Stram, DO, Southey, MC, Sieh, W, Siddiqui, N, Shvetsov, YB, Shu, X-O, Shridhar, V, Wang-Gohrke, S, Severi, G, Schwaab, I, Salvesen, HB, Rzepecka, IK, Runnebaum, IB, Rossing, MA, Rodriguez-Rodriguez, L, Risch, HA, Renner, SP, Poole, EM, Pike, MC, Phelan, CM, Pelttari, LM, Pejovic, T, Paul, J, Orlow, I, Omar, SZ, Olson, SH, Odunsi, K, Nickels, S, Nevanlinna, H, Ness, RB, Narod, SA, Nakanishi, T, Moysich, KB, Monteiro, ANA, Moes-Sosnowska, J, Modugno, F, Menon, U, McLaughlin, JR, McGuire, V, Matsuo, K, Adenan, NAM, Massuger, LFAG, Lurie, G, Lundvall, L, Lubinski, J, Lissowska, J, Levine, DA, Leminen, A, Lee, AW, Le, ND, Lambrechts, S, Lambrechts, D, Kupryjanczyk, J, Krakstad, C, Konecny, GE, Kjaer, SK, Kiemeney, LA, Kelemen, LE, Keeney, GL, Karlan, BY, Karevan, R, Kalli, KR, Kajiyama, H, Ji, B-T, Jensen, A, Jakubowska, A, Iversen, E, Hosono, S, Hogdall, CK, Hogdall, E, Hoatlin, M, Hillemanns, P, Heitz, F, Hein, R, Harter, P, Halle, MK, Hall, P, Gronwald, J, Gore, M, Goodman, MT, Giles, GG, Gentry-Maharaj, A, Garcia-Closas, M, Flanagan, JM, Fasching, PA, Ekici, AB, Edwards, R, Eccles, D, Easton, DF, Duerst, M, du Bois, A, Doerk, T, Doherty, JA, Despierre, E, Dansonka-Mieszkowska, A, Cybulski, C, Cramer, DW, Cook, LS, Chen, X, Charbonneau, B, Chang-Claude, J, Campbell, I, Butzow, R, Bunker, CH, Brueggmann, D, Brown, R, Brooks-Wilson, A, Brinton, LA, Bogdanova, N, Block, MS, Benjamin, E, Beesley, J, Beckmann, MW, Bandera, EV, Baglietto, L, Bacot, F, Armasu, SM, Antonenkova, N, Anton-Culver, H, Aben, KK, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Schildkraut, JM, Sellers, TA, Huntsman, D, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Pharoah, PDP, Laird, PW, Goode, EL, and Pearce, CL
Abstract: HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 × 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 × 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.
Published: 2013

63. Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome

Author: White, KL, Vierkant, RA, Fogarty, ZC, Charbonneau, B, Block, MS, Pharoah, PDP, Chenevix-Trench, G, Rossing, MA, Cramer, DW, Pearce, CL, Schildkraut, JM, Menon, U, Kjaer, SK, Levine, DA, Gronwald, J, Culver, HA, Whittemore, AS, Karlan, BY, Lambrechts, D, Wentzensen, N, Kupryjanczyk, J, Chang-Claude, J, Bandera, EV, Hogdall, E, Heitz, F, Kaye, SB, Fasching, PA, Campbell, I, Goodman, MT, Pejovic, T, Bean, Y, Lurie, G, Eccles, D, Hein, A, Beckmann, MW, Ekici, AB, Paul, J, Brown, R, Flanagan, JM, Harter, P, Du Bois, A, Schwaab, I, Hogdall, CK, Lundvall, L, Olson, SH, Orlow, I, Paddock, LE, Rudolph, A, Eilber, U, Dansonka-Mieszkowska, A, Rzepecka, IK, Ziolkowska-Seta, I, Brinton, L, Yang, H, Garcia-Closas, M, Despierre, E, Lambrechts, S, Vergote, I, Walsh, C, Lester, J, Sieh, W, McGuire, V, Rothstein, JH, Ziogas, A, Lubinski, J, Cybulski, C, Menkiszak, J, Jensen, A, Gayther, SA, Ramus, SJ, Gentry-Maharaj, A, Berchuck, A, Wu, AH, Pike, MC, Van denBerg, D, Terry, KL, Vitonis, AF, Doherty, JA, Johnatty, SE, Defazio, A, Song, H, Tyrer, J, Sellers, TA, Phelan, CM, Kalli, KR, Cunningham, JM, Fridley, BL, Goode, EL, White, KL, Vierkant, RA, Fogarty, ZC, Charbonneau, B, Block, MS, Pharoah, PDP, Chenevix-Trench, G, Rossing, MA, Cramer, DW, Pearce, CL, Schildkraut, JM, Menon, U, Kjaer, SK, Levine, DA, Gronwald, J, Culver, HA, Whittemore, AS, Karlan, BY, Lambrechts, D, Wentzensen, N, Kupryjanczyk, J, Chang-Claude, J, Bandera, EV, Hogdall, E, Heitz, F, Kaye, SB, Fasching, PA, Campbell, I, Goodman, MT, Pejovic, T, Bean, Y, Lurie, G, Eccles, D, Hein, A, Beckmann, MW, Ekici, AB, Paul, J, Brown, R, Flanagan, JM, Harter, P, Du Bois, A, Schwaab, I, Hogdall, CK, Lundvall, L, Olson, SH, Orlow, I, Paddock, LE, Rudolph, A, Eilber, U, Dansonka-Mieszkowska, A, Rzepecka, IK, Ziolkowska-Seta, I, Brinton, L, Yang, H, Garcia-Closas, M, Despierre, E, Lambrechts, S, Vergote, I, Walsh, C, Lester, J, Sieh, W, McGuire, V, Rothstein, JH, Ziogas, A, Lubinski, J, Cybulski, C, Menkiszak, J, Jensen, A, Gayther, SA, Ramus, SJ, Gentry-Maharaj, A, Berchuck, A, Wu, AH, Pike, MC, Van denBerg, D, Terry, KL, Vitonis, AF, Doherty, JA, Johnatty, SE, Defazio, A, Song, H, Tyrer, J, Sellers, TA, Phelan, CM, Kalli, KR, Cunningham, JM, Fridley, BL, and Goode, EL
Abstract: BACKGROUND: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. METHODS: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. RESULTS: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. CONCLUSIONS: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. IMPACT: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed.
Published: 2013

64. Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Author: Vachon, CM, Scott, CG, Fasching, PA, Hall, P, Tamimi, RM, Li, J, Stone, J, Apicella, C, Odefrey, F, Gierach, GL, Jud, SM, Heusinger, K, Beckmann, MW, Pollan, M, Fernandez-Navarro, P, Gonzalez-Neira, A, Benitez, J, van Gils, CH, Lokate, M, Onland-Moret, NC, Peeters, PHM, Brown, J, Leyland, J, Varghese, JS, Easton, DF, Thompson, DJ, Luben, RN, Warren, RML, Wareham, NJ, Loos, RJF, Khaw, K-T, Ursin, G, Lee, E, Gayther, SA, Ramus, SJ, Eeles, RA, Leach, MO, Kwan-Lim, G, Couch, FJ, Giles, GG, Baglietto, L, Krishnan, K, Southey, MC, Le Marchand, L, Kolonel, LN, Woolcott, C, Maskarinec, G, Haiman, CA, Walker, K, Johnson, N, McCormack, VA, Biong, M, Alnaes, GIG, Gram, IT, Kristensen, VN, Borresen-Dale, A-L, Lindstroem, S, Hankinson, SE, Hunter, DJ, Andrulis, IL, Knight, JA, Boyd, NF, Figuero, JD, Lissowska, J, Wesolowska, E, Peplonska, B, Bukowska, A, Reszka, E, Liu, J, Eriksson, L, Czene, K, Audley, T, Wu, AH, Pankratz, VS, Hopper, JL, dos-Santos-Silva, I, Vachon, CM, Scott, CG, Fasching, PA, Hall, P, Tamimi, RM, Li, J, Stone, J, Apicella, C, Odefrey, F, Gierach, GL, Jud, SM, Heusinger, K, Beckmann, MW, Pollan, M, Fernandez-Navarro, P, Gonzalez-Neira, A, Benitez, J, van Gils, CH, Lokate, M, Onland-Moret, NC, Peeters, PHM, Brown, J, Leyland, J, Varghese, JS, Easton, DF, Thompson, DJ, Luben, RN, Warren, RML, Wareham, NJ, Loos, RJF, Khaw, K-T, Ursin, G, Lee, E, Gayther, SA, Ramus, SJ, Eeles, RA, Leach, MO, Kwan-Lim, G, Couch, FJ, Giles, GG, Baglietto, L, Krishnan, K, Southey, MC, Le Marchand, L, Kolonel, LN, Woolcott, C, Maskarinec, G, Haiman, CA, Walker, K, Johnson, N, McCormack, VA, Biong, M, Alnaes, GIG, Gram, IT, Kristensen, VN, Borresen-Dale, A-L, Lindstroem, S, Hankinson, SE, Hunter, DJ, Andrulis, IL, Knight, JA, Boyd, NF, Figuero, JD, Lissowska, J, Wesolowska, E, Peplonska, B, Bukowska, A, Reszka, E, Liu, J, Eriksson, L, Czene, K, Audley, T, Wu, AH, Pankratz, VS, Hopper, JL, and dos-Santos-Silva, I
Abstract: BACKGROUND: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer risk. We examined whether common low-penetrance breast cancer susceptibility variants contribute to interindividual differences in mammographic density measures. METHODS: We established an international consortium (DENSNP) of 19 studies from 10 countries, comprising 16,895 Caucasian women, to conduct a pooled cross-sectional analysis of common breast cancer susceptibility variants in 14 independent loci and mammographic density measures. Dense and nondense areas, and percent density, were measured using interactive-thresholding techniques. Mixed linear models were used to assess the association between genetic variants and the square roots of mammographic density measures adjusted for study, age, case status, BMI, and menopausal status. RESULTS: Consistent with their breast cancer associations, the C-allele of rs3817198 in LSP1 was positively associated with both adjusted dense area (P = 0.00005) and adjusted percent density (P = 0.001), whereas the A-allele of rs10483813 in RAD51L1 was inversely associated with adjusted percent density (P = 0.003), but not with adjusted dense area (P = 0.07). CONCLUSION: We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland. IMPACT: We examined the association of 14 established breast cancer susceptibility loci with mammographic density phenotypes within a large genetic consortium and identified two breast cancer susceptibility variants, LSP1-rs3817198 and RAD51L1-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association.
Published: 2012

65. Polymorphisms in Stromal Genes and Susceptibility to Serous Epithelial Ovarian Cancer: A Report from the Ovarian Cancer Association Consortium

Author: Minna, JD, Amankwah, EK, Wang, Q, Schildkraut, JM, Tsai, Y-Y, Ramus, SJ, Fridley, BL, Beesley, J, Johnatty, SE, Webb, PM, Chenevix-Trench, G, Dale, LC, Lambrechts, D, Amant, F, Despierre, E, Vergote, I, Gayther, SA, Gentry-Maharaj, A, Menon, U, Chang-Claude, J, Wang-Gohrke, S, Anton-Culver, H, Ziogas, A, Doerk, T, Duerst, M, Antonenkova, N, Bogdanova, N, Brown, R, Flanagan, JM, Kaye, SB, Paul, J, Butzow, R, Nevanlinna, H, Campbell, I, Eccles, DM, Karlan, BY, Gross, J, Walsh, C, Pharoah, PDP, Song, H, Kjaer, SK, Hogdall, E, Hogdall, C, Lundvall, L, Nedergaard, L, Kiemeney, LALM, Massuger, LFAG, van Altena, AM, Vermeulen, SHHM, Le, ND, Brooks-Wilson, A, Cook, LS, Phelan, CM, Cunningham, JM, Vachon, CM, Vierkant, RA, Iversen, ES, Berchuck, A, Goode, EL, Sellers, TA, Kelemen, LE, Minna, JD, Amankwah, EK, Wang, Q, Schildkraut, JM, Tsai, Y-Y, Ramus, SJ, Fridley, BL, Beesley, J, Johnatty, SE, Webb, PM, Chenevix-Trench, G, Dale, LC, Lambrechts, D, Amant, F, Despierre, E, Vergote, I, Gayther, SA, Gentry-Maharaj, A, Menon, U, Chang-Claude, J, Wang-Gohrke, S, Anton-Culver, H, Ziogas, A, Doerk, T, Duerst, M, Antonenkova, N, Bogdanova, N, Brown, R, Flanagan, JM, Kaye, SB, Paul, J, Butzow, R, Nevanlinna, H, Campbell, I, Eccles, DM, Karlan, BY, Gross, J, Walsh, C, Pharoah, PDP, Song, H, Kjaer, SK, Hogdall, E, Hogdall, C, Lundvall, L, Nedergaard, L, Kiemeney, LALM, Massuger, LFAG, van Altena, AM, Vermeulen, SHHM, Le, ND, Brooks-Wilson, A, Cook, LS, Phelan, CM, Cunningham, JM, Vachon, CM, Vierkant, RA, Iversen, ES, Berchuck, A, Goode, EL, Sellers, TA, and Kelemen, LE
Abstract: Alterations in stromal tissue components can inhibit or promote epithelial tumorigenesis. Decorin (DCN) and lumican (LUM) show reduced stromal expression in serous epithelial ovarian cancer (sEOC). We hypothesized that common variants in these genes associate with risk. Associations with sEOC among Caucasians were estimated with odds ratios (OR) among 397 cases and 920 controls in two U.S.-based studies (discovery set), 436 cases and 1,098 controls in Australia (replication set 1) and a consortium of 15 studies comprising 1,668 cases and 4,249 controls (replication set 2). The discovery set and replication set 1 (833 cases and 2,013 controls) showed statistically homogeneous (P(heterogeneity)≥0.48) decreased risks of sEOC at four variants: DCN rs3138165, rs13312816 and rs516115, and LUM rs17018765 (OR = 0.6 to 0.9; P(trend) = 0.001 to 0.03). Results from replication set 2 were statistically homogeneous (P(heterogeneity)≥0.13) and associated with increased risks at DCN rs3138165 and rs13312816, and LUM rs17018765: all ORs = 1.2; P(trend)≤0.02. The ORs at the four variants were statistically heterogeneous across all 18 studies (P(heterogeneity)≤0.03), which precluded combining. In post-hoc analyses, interactions were observed between each variant and recruitment period (P(interaction)≤0.003), age at diagnosis (P(interaction) = 0.04), and year of diagnosis (P(interaction) = 0.05) in the five studies with available information (1,044 cases, 2,469 controls). We conclude that variants in DCN and LUM are not directly associated with sEOC, and that confirmation of possible effect modification of the variants by non-genetic factors is required.
Published: 2011

66. Functional Polymorphisms in the TERT Promoter Are Associated with Risk of Serous Epithelial Ovarian and Breast Cancers

Author: Zhang, L, Beesley, J, Pickett, HA, Johnatty, SE, Dunning, AM, Chen, X, Li, J, Michailidou, K, Lu, Y, Rider, DN, Palmieri, RT, Stutz, MD, Lambrechts, D, Despierre, E, Lambrechts, S, Vergote, I, Chang-Claude, J, Nickels, S, Vrieling, A, Flesch-Janys, D, Wang-Gohrke, S, Eilber, U, Bogdanova, N, Antonenkova, N, Runnebaum, IB, Doerk, T, Goodman, MT, Lurie, G, Wilkens, LR, Matsuno, RK, Kiemeney, LA, Aben, KKH, Marees, T, Massuger, LFAG, Fridley, BL, Vierkant, RA, Bandera, EV, Olson, SH, Orlow, I, Rodriguez-Rodriguez, L, Cook, LS, Le, ND, Brooks-Wilson, A, Kelemen, LE, Campbell, I, Gayther, SA, Ramus, SJ, Gentry-Maharaj, A, Menon, U, Ahmed, S, Baynes, C, Pharoah, PD, Muir, K, Lophatananon, A, Chaiwerawattana, A, Wiangnon, S, Macgregor, S, Easton, DF, Reddel, RR, Goode, EL, Chenevix-Trench, G, Zhang, L, Beesley, J, Pickett, HA, Johnatty, SE, Dunning, AM, Chen, X, Li, J, Michailidou, K, Lu, Y, Rider, DN, Palmieri, RT, Stutz, MD, Lambrechts, D, Despierre, E, Lambrechts, S, Vergote, I, Chang-Claude, J, Nickels, S, Vrieling, A, Flesch-Janys, D, Wang-Gohrke, S, Eilber, U, Bogdanova, N, Antonenkova, N, Runnebaum, IB, Doerk, T, Goodman, MT, Lurie, G, Wilkens, LR, Matsuno, RK, Kiemeney, LA, Aben, KKH, Marees, T, Massuger, LFAG, Fridley, BL, Vierkant, RA, Bandera, EV, Olson, SH, Orlow, I, Rodriguez-Rodriguez, L, Cook, LS, Le, ND, Brooks-Wilson, A, Kelemen, LE, Campbell, I, Gayther, SA, Ramus, SJ, Gentry-Maharaj, A, Menon, U, Ahmed, S, Baynes, C, Pharoah, PD, Muir, K, Lophatananon, A, Chaiwerawattana, A, Wiangnon, S, Macgregor, S, Easton, DF, Reddel, RR, Goode, EL, and Chenevix-Trench, G
Abstract: Genetic variation at the TERT-CLPTM1L locus at 5p15.33 is associated with susceptibility to several cancers, including epithelial ovarian cancer (EOC). We have carried out fine-mapping of this region in EOC which implicates an association with a single nucleotide polymorphism (SNP) within the TERT promoter. We demonstrate that the minor alleles at rs2736109, and at an additional TERT promoter SNP, rs2736108, are associated with decreased breast cancer risk, and that the combination of both SNPs substantially reduces TERT promoter activity.
Published: 2011

67. Estrogen Receptor Beta rs1271572 Polymorphism and Invasive Ovarian Carcinoma Risk: Pooled Analysis within the Ovarian Cancer Association Consortium

Author: Coonrod, SA, Lurie, G, Wilkens, LR, Thompson, PJ, Shvetsov, YB, Matsuno, RK, Carney, ME, Palmieri, RT, Wu, AH, Pike, MC, Pearce, CL, Menon, U, Gentry-Maharaj, A, Gayther, SA, Ramus, SJ, Whittemore, AS, McGuire, V, Sieh, W, Pharoah, PDP, Song, H, Gronwald, J, Jakubowska, A, Cybulski, C, Lubinski, J, Schildkraut, JM, Berchuck, A, Kjaer, SK, Hogdall, E, Fasching, PA, Beckmann, MW, Ekici, AB, Hein, A, Chenevix-Trench, G, Webb, PM, Beesley, J, Goodman, MT, Coonrod, SA, Lurie, G, Wilkens, LR, Thompson, PJ, Shvetsov, YB, Matsuno, RK, Carney, ME, Palmieri, RT, Wu, AH, Pike, MC, Pearce, CL, Menon, U, Gentry-Maharaj, A, Gayther, SA, Ramus, SJ, Whittemore, AS, McGuire, V, Sieh, W, Pharoah, PDP, Song, H, Gronwald, J, Jakubowska, A, Cybulski, C, Lubinski, J, Schildkraut, JM, Berchuck, A, Kjaer, SK, Hogdall, E, Fasching, PA, Beckmann, MW, Ekici, AB, Hein, A, Chenevix-Trench, G, Webb, PM, Beesley, J, and Goodman, MT
Abstract: The association of ovarian carcinoma risk with the polymorphism rs1271572 in the estrogen receptor beta (ESR2) gene was examined in 4946 women with primary invasive ovarian carcinoma and 6582 controls in a pooled analysis of ten case-control studies within the Ovarian Cancer Association Consortium (OCAC). All participants were non-Hispanic white women. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression adjusted for site and age. Women with the TT genotype were at increased risk of ovarian carcinoma compared to carriers of the G allele (OR = 1.10; 95%; CI: 1.01-1.21; p = 0.04); the OR was 1.09 (CI: 0.99-1.20; p = 0.07) after excluding data from the center (Hawaii) that nominated this SNP for OCAC genotyping A stronger association of rs1271572 TT versus GT/GG with risk was observed among women aged ≤50 years versus older women (OR = 1.35; CI: 1.12-1.62; p = 0.002; p for interaction = 0.02) that remained statistically significant after excluding Hawaii data (OR = 1.34; CI: 1.11-1.61; p = 0.009). No heterogeneity of the association was observed by study, menopausal status, gravidity, parity, use of contraceptive or menopausal hormones, tumor histological type, or stage at diagnosis. This pooled analysis suggests that rs1271572 might influence the risk of ovarian cancer, in particular among younger women.
Published: 2011

68. Genetic variation at 9p22.2 and ovarian cancer risk for BRCA1 and BRCA2 mutation carriers

Author: Ramus, S, Kartsonaki, C, Gayther, S, Pharoah, P, Sinilnikova, O, Beesley, J, Chen, X, Mcguffog, L, Healey, S, Couch, F, Wang, X, Fredericksen, Z, Peterlongo, P, Manoukian, S, Peissel, B, Zaffaroni, D, Roversi, G, Barile, M, Viel, A, Allavena, A, Ottini, L, Papi, L, Gismondi, V, Capra, F, Radice, P, Greene, M, Mai, P, Andrulis, I, Glendon, G, Ozcelik, H, Thomassen, M, Gerdes, A, Kruse, T, Cruger, D, Jensen, U, Caligo, M, Olsson, H, Kristoffersson, U, Lindblom, A, Arver, B, Karlsson, P, Stenmark Askmalm, M, Borg, A, Neuhausen, S, Ding, Y, Nathanson, K, Domchek, S, Jakubowska, A, Lubiński, J, Huzarski, T, Byrski, T, Gronwald, J, Górski, B, Cybulski, C, Dębniak, T, Osorio, A, Durán, M, Tejada, M, Benítez, J, Hamann, U, Rookus, M, Verhoef, S, Tilanus Linthorst, M, Vreeswijk, M, Bodmer, D, Ausems, M, van Os, T, Asperen, C, Blok, M, Meijers Heijboer, H, Peock, S, Cook, M, Oliver, C, Frost, D, Dunning, A, Evans, D, Eeles, R, Pichert, G, Cole, T, Hodgson, S, Brewer, C, Morrison, P, Porteous, M, Kennedy, M, Rogers, M, Side, L, Donaldson, A, Gregory, H, Godwin, A, Stoppa Lyonnet, D, Moncoutier, V, Castera, L, Mazoyer, S, Barjhoux, L, Bonadona, V, Leroux, D, Faivre, L, Lidereau, R, Nogues, C, Bignon, Y, Prieur, F, Collonge Rame, M, Venat Bouvet, L, Fert Ferrer, S, Miron, A, Buys, S, Hopper, J, Daly, M, John, E, Terry, M, Goldgar, D, Hansen, T, Jønson, L, Ejlertsen, B, Agnarsson, B, Offit, K, Kirchhoff, T, Vijai, J, Dutra Clarke, A, Przybylo, J, Montagna, M, Casella, C, Imyanitov, E, Janavicius, R, Blanco, I, Lázaro, C, Moysich, K, Karlan, B, Gross, J, Beattie, M, Schmutzler, R, Wappenschmidt, B, Meindl, A, Ruehl, I, Fiebig, B, Sutter, C, Arnold, N, Deissler, H, Varon Mateeva, R, Kast, K, Niederacher, D, Gadzicki, D, Caldes, T, de la Hoya, M, Nevanlinna, H, Aittomäki, K, Simard, J, Soucy, P, Spurdle, A, Holland, H, Chenevix Trench, G, Easton, D, Antoniou, A, Ramus, SJ, Gayther, SA, Pharoah, PDP, Sinilnikova, OM, McGuffog, L, Couch, FJ, Greene, MH, Mai, PL, Andrulis, IL, Kruse, TA, Jensen, UB, Caligo, MA, Neuhausen, SL, Ding, YC, Nathanson, KL, Domchek, SM, Rookus, MA, Tilanus Linthorst, MA, Vreeswijk, MP, Ausems, MGEM, van Os, TA, Asperen, CJ, Blok, MJ, Meijers Heijboer, HEJ, Dunning, AM, Evans, DG, Morrison, PJ, Kennedy, MJ, Rogers, MT, Side, LE, Buys, SS, Hopper, JL, Daly, MB, John, EM, Terry, MB, Hansen, TvO, Agnarsson, BA, Dutra Clarke, AVC, Przybylo, JA, Imyanitov, EN, Moysich, KB, Karlan, BY, Beattie, MS, Spurdle, AB, Easton, DF, Antoniou, AC, ROVERSI, GAIA, Ramus, S, Kartsonaki, C, Gayther, S, Pharoah, P, Sinilnikova, O, Beesley, J, Chen, X, Mcguffog, L, Healey, S, Couch, F, Wang, X, Fredericksen, Z, Peterlongo, P, Manoukian, S, Peissel, B, Zaffaroni, D, Roversi, G, Barile, M, Viel, A, Allavena, A, Ottini, L, Papi, L, Gismondi, V, Capra, F, Radice, P, Greene, M, Mai, P, Andrulis, I, Glendon, G, Ozcelik, H, Thomassen, M, Gerdes, A, Kruse, T, Cruger, D, Jensen, U, Caligo, M, Olsson, H, Kristoffersson, U, Lindblom, A, Arver, B, Karlsson, P, Stenmark Askmalm, M, Borg, A, Neuhausen, S, Ding, Y, Nathanson, K, Domchek, S, Jakubowska, A, Lubiński, J, Huzarski, T, Byrski, T, Gronwald, J, Górski, B, Cybulski, C, Dębniak, T, Osorio, A, Durán, M, Tejada, M, Benítez, J, Hamann, U, Rookus, M, Verhoef, S, Tilanus Linthorst, M, Vreeswijk, M, Bodmer, D, Ausems, M, van Os, T, Asperen, C, Blok, M, Meijers Heijboer, H, Peock, S, Cook, M, Oliver, C, Frost, D, Dunning, A, Evans, D, Eeles, R, Pichert, G, Cole, T, Hodgson, S, Brewer, C, Morrison, P, Porteous, M, Kennedy, M, Rogers, M, Side, L, Donaldson, A, Gregory, H, Godwin, A, Stoppa Lyonnet, D, Moncoutier, V, Castera, L, Mazoyer, S, Barjhoux, L, Bonadona, V, Leroux, D, Faivre, L, Lidereau, R, Nogues, C, Bignon, Y, Prieur, F, Collonge Rame, M, Venat Bouvet, L, Fert Ferrer, S, Miron, A, Buys, S, Hopper, J, Daly, M, John, E, Terry, M, Goldgar, D, Hansen, T, Jønson, L, Ejlertsen, B, Agnarsson, B, Offit, K, Kirchhoff, T, Vijai, J, Dutra Clarke, A, Przybylo, J, Montagna, M, Casella, C, Imyanitov, E, Janavicius, R, Blanco, I, Lázaro, C, Moysich, K, Karlan, B, Gross, J, Beattie, M, Schmutzler, R, Wappenschmidt, B, Meindl, A, Ruehl, I, Fiebig, B, Sutter, C, Arnold, N, Deissler, H, Varon Mateeva, R, Kast, K, Niederacher, D, Gadzicki, D, Caldes, T, de la Hoya, M, Nevanlinna, H, Aittomäki, K, Simard, J, Soucy, P, Spurdle, A, Holland, H, Chenevix Trench, G, Easton, D, Antoniou, A, Ramus, SJ, Gayther, SA, Pharoah, PDP, Sinilnikova, OM, McGuffog, L, Couch, FJ, Greene, MH, Mai, PL, Andrulis, IL, Kruse, TA, Jensen, UB, Caligo, MA, Neuhausen, SL, Ding, YC, Nathanson, KL, Domchek, SM, Rookus, MA, Tilanus Linthorst, MA, Vreeswijk, MP, Ausems, MGEM, van Os, TA, Asperen, CJ, Blok, MJ, Meijers Heijboer, HEJ, Dunning, AM, Evans, DG, Morrison, PJ, Kennedy, MJ, Rogers, MT, Side, LE, Buys, SS, Hopper, JL, Daly, MB, John, EM, Terry, MB, Hansen, TvO, Agnarsson, BA, Dutra Clarke, AVC, Przybylo, JA, Imyanitov, EN, Moysich, KB, Karlan, BY, Beattie, MS, Spurdle, AB, Easton, DF, Antoniou, AC, and ROVERSI, GAIA
Abstract: Germline mutations in the BRCA1 and BRCA2 genes are associated with increased risks of breast and ovarian cancers. Although several common variants have been associated with breast cancer susceptibility in mutation carriers, none have been associated with ovarian cancer susceptibility. A genome-wide association study recently identified an association between the rare allele of the single-nucleotide polymorphism (SNP) rs3814113 (ie, the C allele) at 9p22.2 and decreased risk of ovarian cancer for women in the general population. We evaluated the association of this SNP with ovarian cancer risk among BRCA1 or BRCA2 mutation carriers by use of data from the Consortium of Investigators of Modifiers of BRCA1/2.
Published: 2011

69. Evaluation of Candidate Stromal Epithelial Cross-Talk Genes Identifies Association between Risk of Serous Ovarian Cancer and TERT, a Cancer Susceptibility 'Hot-Spot'

Author: Dermitzakis, ET, Johnatty, SE, Beesley, J, Chen, X, Macgregor, S, Duffy, DL, Spurdle, AB, deFazio, A, Gava, N, Webb, PM, Rossing, MA, Doherty, JA, Goodman, MT, Lurie, G, Thompson, PJ, Wilkens, LR, Ness, RB, Moysich, KB, Chang-Claude, J, Wang-Gohrke, S, Cramer, DW, Terry, KL, Hankinson, SE, Tworoger, SS, Garcia-Closas, M, Yang, H, Lissowska, J, Chanock, SJ, Pharoah, PD, Song, H, Whitemore, AS, Pearce, CL, Stram, DO, Wu, AH, Pike, MC, Gayther, SA, Ramus, SJ, Menon, U, Gentry-Maharaj, A, Anton-Culver, H, Ziogas, A, Hogdall, E, Kjaer, SK, Hogdall, C, Berchuck, A, Schildkraut, JM, Iversen, ES, Moorman, PG, Phelan, CM, Sellers, TA, Cunningham, JM, Vierkant, RA, Rider, DN, Goode, EL, Haviv, I, Chenevix-Trench, G, Dermitzakis, ET, Johnatty, SE, Beesley, J, Chen, X, Macgregor, S, Duffy, DL, Spurdle, AB, deFazio, A, Gava, N, Webb, PM, Rossing, MA, Doherty, JA, Goodman, MT, Lurie, G, Thompson, PJ, Wilkens, LR, Ness, RB, Moysich, KB, Chang-Claude, J, Wang-Gohrke, S, Cramer, DW, Terry, KL, Hankinson, SE, Tworoger, SS, Garcia-Closas, M, Yang, H, Lissowska, J, Chanock, SJ, Pharoah, PD, Song, H, Whitemore, AS, Pearce, CL, Stram, DO, Wu, AH, Pike, MC, Gayther, SA, Ramus, SJ, Menon, U, Gentry-Maharaj, A, Anton-Culver, H, Ziogas, A, Hogdall, E, Kjaer, SK, Hogdall, C, Berchuck, A, Schildkraut, JM, Iversen, ES, Moorman, PG, Phelan, CM, Sellers, TA, Cunningham, JM, Vierkant, RA, Rider, DN, Goode, EL, Haviv, I, and Chenevix-Trench, G
Abstract: We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n=675) and controls (n=1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs-PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616-were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with Pper-allele<0.05 in the discovery stage were selected for replication in a subset of five OCAC studies (n=1,233 serous invasive cases; n=3,364 controls). The discovery stage associations in PODXL, ITGA6, and MMP3 were attenuated in the larger replication set (adj. Pper-allele>or=0.5). However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24) p=0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus.
Published: 2010

70. Aberrant splicing of the TSG101 and FHIT genes occurs frequently in multiple malignancies and in normal tissues and mimics alterations previously described in tumours

Author: Sarah J. Batley, Bruce Ponder, Gayther Sa, Carlos Caldas, Li L, Barski P, de Foy Ka, and Stanley N. Cohen
Subjects: Cancer Research, DNA, Complementary, Lung Neoplasms, RNA Splicing, Breast Neoplasms, macromolecular substances, Biology, medicine.disease_cause, Polymerase Chain Reaction, FHIT, Neoplasms, Genetics, medicine, Tumor Cells, Cultured, TSG101, Humans, Genes, Tumor Suppressor, neoplasms, Molecular Biology, Gene, Melanoma, Cell Line, Transformed, Ovarian Neoplasms, Mutation, B-Lymphocytes, Endosomal Sorting Complexes Required for Transport, Proteins, DNA, Neoplasm, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, Acid Anhydride Hydrolases, Neoplasm Proteins, DNA-Binding Proteins, Leukemia, Cell culture, Acid anhydride hydrolases, RNA splicing, Cancer research, Female, Gene Deletion, Transcription Factors
Abstract: Intragenic deletions of TSG101, the human homolog of a mouse gene (tsg101) that acts to suppress malignant cell growth, were reported in human breast tumours. We screened TSG101 for somatic mutations in DNA and RNA samples isolated from a variety of common human malignancies, EBV-immortalised B-cells, and normal lung parenchyma. Intragenic TSG101 deletions in RNA transcripts were frequently found in all types of samples. Analysis of DNA failed to show genomic rearrangements corresponding to transcripts containing deletions in the same samples. The breakpoints of most transcript deletions coincide with genuine or cryptic splice site sequences, suggesting that they result from alternative or aberrant splicing. A similar spectrum of transcript deletions has previously been described in the putative tumour suppressor gene FHIT. We analysed FHIT in the same series of RNA samples and detected truncated FHIT transcripts frequently in both tumour and normal tissues. In addition, transcripts from TSG101, FHIT and seven other genes were analysed in RNA isolated from normal peripheral blood lymphocytes. Large TSG101 and FHIT intragenic transcript deletions were detected and these appeared to be the predominant transcript in 'aged' lymphocytes. Similar alterations were not detected in transcripts of the other genes which were analysed. Our findings demonstrate that truncated TSG101 and FHIT transcripts are commonly detected in both normal and malignant tissues and that a significant fraction of these are likely to be the result of aberrant splicing. While we cannot exclude that alterations in TSG101 and FHIT occur during cancer development, our data indicate that in this context the commonly observed transcript abnormalities are misleading.
Published: 1997

71. Genetic intra-tumour heterogeneity in epithelial ovarian cancer and its implications for molecular diagnosis of tumours

Author: Khalique, L, primary, Ayhan, A, additional, Weale, ME, additional, Jacobs, IJ, additional, Ramus, SJ, additional, and Gayther, SA, additional
Published: 2007
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72. Inherited predisposition to ovarian cancer - the contribution of mutations in BRCA1

Author: Stratton, JF, primary, Gayther, SA, additional, Russell, P, additional, Dearden, J, additional, Gore, M, additional, Blake, P, additional, Smith, SK, additional, Easton, D, additional, and Ponder, BAJ, additional
Published: 1998
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73. Mutation analysis of the c-mos proto-oncogene in human ovarian teratomas

Author: de Foy, KAF, primary, Gayther, SA, additional, Colledge, WH, additional, Crockett, S, additional, Scott, IV, additional, Evans, MJ, additional, and Ponder, BAJ, additional
Published: 1998
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74. Mutation analysis of the c-mos proto-oncogene and the endothelin-B receptor gene in medullary thyroid carcinoma and phaeochromocytoma

Author: Eng, C, primary, Foster, KA, additional, Healey, CS, additional, Houghton, C, additional, Gayther, SA, additional, Mulligan, LM, additional, and Ponder, BAJ, additional
Published: 1996
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75. ABO blood group and risk of epithelial ovarian cancer within the Ovarian Cancer Association Consortium.

Author: Poole EM, Gates MA, High BA, Chanock SJ, Cramer DW, Cunningham JM, Fridley BL, Gayther SA, Goode EL, Iversen ES, Lissowska J, Weber RT, Pharoah PD, Phelan CM, Ramus SJ, Schildkraut JM, Sutphen R, Tsai YY, Tyrer J, and Vierkant RA
Abstract: Purpose: Previous studies have examined the association between ABO blood group and ovarian cancer risk, with inconclusive results.Methods: In eight studies participating in the Ovarian Cancer Association Consortium, we determined ABO blood groups and diplotypes by genotyping 3 SNPs in the ABO locus. Odds ratios and 95 % confidence intervals were calculated in each study using logistic regression; individual study results were combined using random effects meta-analysis.Results: Compared to blood group O, the A blood group was associated with a modestly increased ovarian cancer risk: (OR: 1.09; 95 % CI: 1.01-1.18; p = 0.03). In diplotype analysis, the AO, but not the AA diplotype, was associated with increased risk (AO: OR: 1.11; 95 % CI: 1.01-1.22; p = 0.03; AA: OR: 1.03; 95 % CI: 0.87-1.21; p = 0.76). Neither AB nor the B blood groups were associated with risk. Results were similar across ovarian cancer histologic subtypes.Conclusion: Consistent with most previous reports, the A blood type was associated modestly with increased ovarian cancer risk in this large analysis of multiple studies of ovarian cancer. Future studies investigating potential biologic mechanisms are warranted. [ABSTRACT FROM AUTHOR]
Published: 2012
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76. Prognostic gene expression signature for high-grade serous ovarian cancer

Author: Millstein, J, Budden, T, Goode, EL, Anglesio, MS, Talhouk, A, Intermaggio, MP, Leong, HS, Chen, S, Elatre, W, Gilks, B, Nazeran, T, Volchek, M, Bentley, RC, Wang, C, Chiu, DS, Kommoss, S, Leung, SCY, Senz, J, Lum, A, Chow, V, Sudderuddin, H, Mackenzie, R, George, J, AOCS Group, Fereday, S, Hendley, J, Traficante, N, Steed, H, Koziak, JM, Köbel, M, McNeish, IA, Goranova, T, Ennis, D, Macintyre, G, Silva De Silva, D, Ramón Y Cajal, T, García-Donas, J, Hernando Polo, S, Rodriguez, GC, Cushing-Haugen, KL, Harris, HR, Greene, CS, Zelaya, RA, Behrens, S, Fortner, RT, Sinn, P, Herpel, E, Lester, J, Lubiński, J, Oszurek, O, Tołoczko, A, Cybulski, C, Menkiszak, J, Pearce, CL, Pike, MC, Tseng, C, Alsop, J, Rhenius, V, Song, H, Jimenez-Linan, M, Piskorz, AM, Gentry-Maharaj, A, Karpinskyj, C, Widschwendter, M, Singh, N, Kennedy, CJ, Sharma, R, Harnett, PR, Gao, B, Johnatty, SE, Sayer, R, Boros, J, Winham, SJ, Keeney, GL, Kaufmann, SH, Larson, MC, Luk, H, Hernandez, BY, Thompson, PJ, Wilkens, LR, Carney, ME, Trabert, B, Lissowska, J, Brinton, L, Sherman, ME, Bodelon, C, Hinsley, S, Lewsley, LA, Glasspool, R, Banerjee, SN, Stronach, EA, Haluska, P, Ray-Coquard, I, Mahner, S, Winterhoff, B, Slamon, D, Levine, DA, Kelemen, LE, Benitez, J, Chang-Claude, J, Gronwald, J, Wu, AH, Menon, U, Goodman, MT, Schildkraut, JM, Wentzensen, N, Brown, R, Berchuck, A, Chenevix-Trench, G, DeFazio, A, Gayther, SA, García, MJ, Henderson, MJ, Rossing, MA, Beeghly-Fadiel, A, Fasching, PA, Orsulic, S, Karlan, BY, Konecny, GE, Huntsman, DG, Bowtell, DD, Brenton, JD, Doherty, JA, Pharoah, PDP, and Ramus, SJ
Subjects: Ovarian Neoplasms, high-grade serous ovarian cancer, overall survival, gene expression, Humans, Female, prognosis, formalin-fixed paraffin-embedded, Transcriptome, Survival Analysis, 3. Good health, Cystadenocarcinoma, Serous, Proportional Hazards Models
Abstract: BACKGROUND: Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC. PATIENTS AND METHODS: Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies. RESULTS: Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02-2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to -), 5.4 (4.6-7.0), 3.8 (3.3-4.6), 3.2 (2.9-3.7) and 2.3 (2.1-2.6) years. CONCLUSION: The OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.

77. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

Author: Amos, CI, Dennis, J, Wang, Z, Byun, J, Schumacher, FR, Gayther, SA, Casey, G, Hunter, DJ, Sellers, TA, Gruber, SB, Dunning, AM, Michailidou, K, Fachal, L, Doheny, K, Spurdle, AB, Li, Y, Xiao, X, Romm, J, Pugh, E, Coetzee, GA, Hazelett, DJ, Bojesen, SE, Caga-Anan, C, Haiman, CA, Kamal, A, Luccarini, C, Tessier, D, Vincent, D, Bacot, F, Van Den Berg, DJ, Nelson, S, Demetriades, S, Goldgar, DE, Couch, FJ, Forman, JL, Giles, GG, Conti, DV, Bickeböller, H, Risch, A, Waldenberger, M, Brüske-Hohlfeld, I, Hicks, BD, Ling, H, McGuffog, L, Lee, A, Kuchenbaecker, K, Soucy, P, Manz, J, Cunningham, JM, Butterbach, K, Kote-Jarai, Z, Kraft, P, FitzGerald, L, Lindström, S, Adams, M, McKay, JD, Phelan, CM, Benlloch, S, Kelemen, LE, Brennan, P, Riggan, M, O'Mara, TA, Shen, H, Shi, Y, Thompson, DJ, Goodman, MT, Nielsen, SF, Berchuck, A, Laboissiere, S, Schmit, SL, Shelford, T, Edlund, CK, Taylor, JA, Field, JK, Park, SK, Offit, K, Thomassen, M, Schmutzler, R, Ottini, L, Hung, RJ, Marchini, J, Amin Al Olama, A, Peters, U, Eeles, RA, Seldin, MF, Gillanders, E, Seminara, D, Antoniou, AC, Pharoah, PDP, Chenevix-Trench, G, Chanock, SJ, Simard, J, and Easton, DF
Subjects: Male, Genotype, Genetic Variation, Prognosis, Polymorphism, Single Nucleotide, Risk Assessment, 3. Good health, Neoplasms, Prevalence, Humans, Female, Genetic Predisposition to Disease, Selection, Genetic, Genome-Wide Association Study
Abstract: BACKGROUND: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. METHODS: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. RESULTS: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. CONCLUSIONS: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.

78. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author: Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP
Subjects: ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract: To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

79. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus

Author: Lawrenson, K, Kar, S, McCue, K, Kuchenbaeker, K, Michailidou, K, Tyrer, J, Beesley, J, Ramus, SJ, Li, Q, Delgado, MK, Lee, JM, Aittomäki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Arun, BK, Arver, B, Bandera, EV, Barile, M, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Benitez, J, Berchuck, A, Bisogna, M, Bjorge, L, Blomqvist, C, Blot, W, Bogdanova, N, Bojesen, A, Bojesen, SE, Bolla, MK, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brennan, P, Brenner, H, Bruinsma, F, Brunet, J, Buhari, SA, Burwinkel, B, Butzow, R, Buys, SS, Cai, Q, Caldes, T, Campbell, I, Canniotto, R, Chang-Claude, J, Chiquette, J, Choi, J-Y, Claes, KBM, GEMO Study Collaborators, Cook, LS, Cox, A, Cramer, DW, Cross, SS, Cybulski, C, Czene, K, Daly, MB, Damiola, F, Dansonka-Mieszkowska, A, Darabi, H, Dennis, J, Devilee, P, Diez, O, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dumont, M, Ehrencrona, H, Ejlertsen, B, Ellis, S, EMBRACE, Engel, C, Lee, E, Evans, DG, Fasching, PA, Feliubadalo, L, Figueroa, J, Flesch-Janys, D, Fletcher, O, Flyger, H, Foretova, L, Fostira, F, Foulkes, WD, Fridley, BL, Friedman, E, Frost, D, Gambino, G, Ganz, PA, Garber, J, García-Closas, M, Gentry-Maharaj, A, Ghoussaini, M, Giles, GG, Glasspool, R, Godwin, AK, Goldberg, MS, Goldgar, DE, González-Neira, A, Goode, EL, Goodman, MT, Greene, MH, Gronwald, J, Guénel, P, Haiman, CA, Hall, P, Hallberg, E, Hamann, U, Hansen, TVO, Harrington, PA, Hartman, M, Hassan, N, Healey, S, Hereditary Breast And Ovarian Cancer Research Group Netherlands (HEBON), Heitz, F, Herzog, J, Høgdall, E, Høgdall, CK, Hogervorst, FBL, Hollestelle, A, Hopper, JL, Hulick, PJ, Huzarski, T, Imyanitov, EN, KConFab Investigators, Australian Ovarian Cancer Study Group, Isaacs, C, Ito, H, Jakubowska, A, Janavicius, R, Jensen, A, John, EM, Johnson, N, Kabisch, M, Kang, D, Kapuscinski, M, Karlan, BY, Khan, S, Kiemeney, LA, Kjaer, SK, Knight, JA, Konstantopoulou, I, Kosma, V-M, Kristensen, V, Kupryjanczyk, J, Kwong, A, De La Hoya, M, Laitman, Y, Lambrechts, D, Le, N, De Leeneer, K, Lester, J, Levine, DA, Li, J, Lindblom, A, Long, J, Lophatananon, A, Loud, JT, Lu, K, Lubinski, J, Mannermaa, A, Manoukian, S, Le Marchand, L, Margolin, S, Marme, F, Massuger, LFAG, Matsuo, K, Mazoyer, S, McGuffog, L, McLean, C, McNeish, I, Meindl, A, Menon, U, Mensenkamp, AR, Milne, RL, Montagna, M, Moysich, KB, Muir, K, Mulligan, AM, Nathanson, KL, Ness, RB, Neuhausen, SL, Nevanlinna, H, Nord, S, Nussbaum, RL, Odunsi, K, Offit, K, Olah, E, Olopade, OI, Olson, JE, Olswold, C, O'Malley, D, Orlow, I, Orr, N, Osorio, A, Park, SK, Pearce, CL, Pejovic, T, Peterlongo, P, Pfeiler, G, Phelan, CM, Poole, EM, Pylkäs, K, Radice, P, Rantala, J, Rashid, MU, Rennert, G, Rhenius, V, Rhiem, K, Risch, HA, Rodriguez, G, Rossing, MA, Rudolph, A, Salvesen, HB, Sangrajrang, S, Sawyer, EJ, Schildkraut, JM, Schmidt, MK, Schmutzler, RK, Sellers, TA, Seynaeve, C, Shah, M, Shen, C-Y, Shu, X-O, Sieh, W, Singer, CF, Sinilnikova, OM, Slager, S, Song, H, Soucy, P, Southey, MC, Stenmark-Askmalm, M, Stoppa-Lyonnet, D, Sutter, C, Swerdlow, A, Tchatchou, S, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Tibiletti, MG, Tihomirova, L, Tognazzo, S, Toland, AE, Tomlinson, I, Torres, D, Truong, T, Tseng, C-C, Tung, N, Tworoger, SS, Vachon, C, Van Den Ouweland, AMW, Van Doorn, HC, Van Rensburg, EJ, Van't Veer, LJ, Vanderstichele, A, Vergote, I, Vijai, J, Wang, Q, Wang-Gohrke, S, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wildiers, H, Winqvist, R, Wu, AH, Yannoukakos, D, Yoon, S-Y, Yu, J-C, Zheng, W, Zheng, Y, Khanna, KK, Simard, J, Monteiro, AN, French, JD, Couch, FJ, Freedman, ML, Easton, DF, Dunning, AM, Pharoah, PD, Edwards, SL, Chenevix-Trench, G, Antoniou, AC, and Gayther, SA
Subjects: Ovarian Neoplasms, Genotype, Black People, Breast Neoplasms, Polymorphism, Single Nucleotide, 3. Good health, Asian People, Humans, Female, Genetic Predisposition to Disease, RNA, Messenger, Chromosomes, Human, Pair 19, Alleles, Genome-Wide Association Study
Abstract: A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10(-20)), ER-negative BC (P=1.1 × 10(-13)), BRCA1-associated BC (P=7.7 × 10(-16)) and triple negative BC (P-diff=2 × 10(-5)). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10(-3)) and ABHD8 (P

80. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

Author: Couch, FJ, Kuchenbaecker, KB, Michailidou, K, Mendoza-Fandino, GA, Nord, S, Lilyquist, J, Olswold, C, Hallberg, E, Agata, S, Ahsan, H, Aittomäki, K, Ambrosone, C, Andrulis, IL, Anton-Culver, H, Arndt, V, Arun, BK, Arver, B, Barile, M, Barkardottir, RB, Barrowdale, D, Beckmann, L, Beckmann, MW, Benitez, J, Blank, SV, Blomqvist, C, Bogdanova, NV, Bojesen, SE, Bolla, MK, Bonanni, B, Brauch, H, Brenner, H, Burwinkel, B, Buys, SS, Caldes, T, Caligo, MA, Canzian, F, Carpenter, J, Chang-Claude, J, Chanock, SJ, Chung, WK, Claes, KBM, Cox, A, Cross, SS, Cunningham, JM, Czene, K, Daly, MB, Damiola, F, Darabi, H, De La Hoya, M, Devilee, P, Diez, O, Ding, YC, Dolcetti, R, Domchek, SM, Dorfling, CM, Dos-Santos-Silva, I, Dumont, M, Dunning, AM, Eccles, DM, Ehrencrona, H, Ekici, AB, Eliassen, H, Ellis, S, Fasching, PA, Figueroa, J, Flesch-Janys, D, Försti, A, Fostira, F, Foulkes, WD, Friebel, T, Friedman, E, Frost, D, Gabrielson, M, Gammon, MD, Ganz, PA, Gapstur, SM, Garber, J, Gaudet, MM, Gayther, SA, Gerdes, A-M, Ghoussaini, M, Giles, GG, Glendon, G, Godwin, AK, Goldberg, MS, Goldgar, DE, González-Neira, A, Greene, MH, Gronwald, J, Guénel, P, Gunter, M, Haeberle, L, Haiman, CA, Hamann, U, Hansen, TVO, Hart, S, Healey, S, Heikkinen, T, Henderson, BE, Herzog, J, Hogervorst, FBL, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Humphreys, K, Hunter, DJ, Huzarski, T, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, P, Janavicius, R, Jensen, UB, John, EM, Jones, M, Kabisch, M, Kar, S, Karlan, BY, Khan, S, Khaw, K-T, Kibriya, MG, Knight, JA, Ko, Y-D, Konstantopoulou, I, Kosma, V-M, Kristensen, V, Kwong, A, Laitman, Y, Lambrechts, D, Lazaro, C, Lee, E, Le Marchand, L, Lester, J, Lindblom, A, Lindor, N, Lindstrom, S, Liu, J, Long, J, Lubinski, J, Mai, PL, Makalic, E, Malone, KE, Mannermaa, A, Manoukian, S, Margolin, S, Marme, F, Martens, JWM, McGuffog, L, Meindl, A, Miller, A, Milne, RL, Miron, P, Montagna, M, Mazoyer, S, Mulligan, AM, Muranen, TA, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Olopade, OI, Olson, JE, Osorio, A, Park, SK, Peeters, PH, Peissel, B, Peterlongo, P, Peto, J, Phelan, CM, Pilarski, R, Poppe, B, Pylkäs, K, Radice, P, Rahman, N, Rantala, J, Rappaport, C, Rennert, G, Richardson, A, Robson, M, Romieu, I, Rudolph, A, Rutgers, EJ, Sanchez, M-J, Santella, RM, Sawyer, EJ, Schmidt, DF, Schmidt, MK, Schmutzler, RK, Schumacher, F, Scott, R, Senter, L, Sharma, P, Simard, J, Singer, CF, Sinilnikova, OM, Soucy, P, Southey, M, Steinemann, D, Stenmark-Askmalm, M, Stoppa-Lyonnet, D, Swerdlow, A, Szabo, CI, Tamimi, R, Tapper, W, Teixeira, MR, Teo, S-H, Terry, MB, Thomassen, M, Thompson, D, Tihomirova, L, Toland, AE, Tollenaar, RAEM, Tomlinson, I, Truong, T, Tsimiklis, H, Teulé, A, Tumino, R, Tung, N, Turnbull, C, Ursin, G, Van Deurzen, CHM, Van Rensburg, EJ, Varon-Mateeva, R, Wang, Z, Wang-Gohrke, S, Weiderpass, E, Weitzel, JN, Whittemore, A, Wildiers, H, Winqvist, R, Yang, XR, Yannoukakos, D, Yao, S, Zamora, MP, Zheng, W, Hall, P, Kraft, P, Vachon, C, Slager, S, Chenevix-Trench, G, Pharoah, PDP, Monteiro, AAN, García-Closas, M, Easton, DF, and Antoniou, AC
Subjects: Heterozygote, tRNA Methyltransferases, Genotype, BRCA1 Protein, Breast Neoplasms, Polymorphism, Single Nucleotide, 3. Good health, Cyclophilins, Receptors, Estrogen, Risk Factors, Chromosomes, Human, Pair 2, Mutation, Humans, Female, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract: This is the final version of the article. It first appeared from Nature Publishing Group via http://dx.doi.org/10.1038/ncomms11375, Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P

81. Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2.

Author: Tyrer JP, Peng PC, DeVries AA, Gayther SA, Jones MR, and Pharoah PD
Subjects: Humans, Phenotype, Polymorphism, Single Nucleotide, Models, Genetic, Female, Multifactorial Inheritance, Genome-Wide Association Study methods
Abstract: Background: As precision medicine advances, polygenic scores (PGS) have become increasingly important for clinical risk assessment. Many methods have been developed to create polygenic models with increased accuracy for risk prediction. Our select and shrink with summary statistics (S4) PGS method has previously been shown to accurately predict the polygenic risk of epithelial ovarian cancer. Here, we applied S4 PGS to 12 phenotypes for UK Biobank participants, and compared it with the LDpred2 and a combined S4 + LDpred2 method., Results: The S4 + LDpred2 method provided overall improved PGS accuracy across a variety of phenotypes for UK Biobank participants. Additionally, the S4 + LDpred2 method had the best estimated PGS accuracy in Finnish and Japanese populations. We also addressed the challenge of limited genotype level data by developing the PGS models using only GWAS summary statistics., Conclusions: Taken together, the S4 + LDpred2 method represents an improvement in overall PGS accuracy across multiple phenotypes and populations., (© 2024. The Author(s).)
Published: 2024
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82. Rare germline genetic variation in PAX8 transcription factor binding sites and susceptibility to epithelial ovarian cancer.

Author: Ezquina SAM, Jones M, Dicks E, de Vries A, Peng PC, Lawrenson K, Corona RI, Tyrer J, Hazelett D, Brenton J, Antoniou A, Gayther SA, and Pharoah PDP
Abstract: Common genetic variation throughout the genome together with rare coding variants identified to date explain about a half of the inherited genetic component of epithelial ovarian cancer risk. It is likely that rare variation in the non-coding genome will explain some of the unexplained heritability, but identifying such variants is challenging. The primary problem is lack of statistical power to identifying individual risk variants by association as power is a function of sample size, effect size and allele frequency. Power can be increased by using burden tests which test for association of carriers of any variant in a specified genomic region. This has the effect of increasing the putative effect allele frequency. PAX8 is a transcription factor that plays a critical role in tumour progression, migration and invasion. Furthermore, regulatory elements proximal to target genes of PAX8 are enriched for common ovarian cancer risk variants. We hypothesised that rare variation in PAX8 binding sites are also associated with ovarian cancer risk, but unlikely to be associated with risk of breast, colorectal or endometrial cancer. We have used publicly available, whole-genome sequencing data from the UK 100,000 Genomes Project to evaluate the burden of rare variation in PAX8 binding sites across the genome. Data were available for 522 ovarian cancers, 2,984 breast cancers, 2,696 colorectal cancers, 836 endometrial cancers and 2253 non-cancer controls. Active binding sites were defined using data from multiple PAX8 and H3K27 ChIPseq experiments. We found no association between the burden of rare variation in PAX8 binding sites (defined in several ways) and risk of ovarian, breast or endometrial cancer. An apparent association with colorectal cancer was likely to be a technical artefact as a similar association was also detected for rare variation in random regions of the genome. Despite the null result this study provides a proof-of -principle for using burden testing to identify rare, non-coding germline genetic variation associated with disease. Larger sample sizes available from large-scale sequencing projects together with improved understanding of the function of the non-coding genome will increase the potential of similar studies in the future., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)
Published: 2024
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83. Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma.

Author: Saner FAM, Takahashi K, Budden T, Pandey A, Ariyaratne D, Zwimpfer TA, Meagher NS, Fereday S, Twomey L, Pishas KI, Hoang T, Bolithon A, Traficante N, Alsop K, Christie EL, Kang EY, Nelson GS, Ghatage P, Lee CH, Riggan MJ, Alsop J, Beckmann MW, Boros J, Brand AH, Brooks-Wilson A, Carney ME, Coulson P, Courtney-Brooks M, Cushing-Haugen KL, Cybulski C, El-Bahrawy MA, Elishaev E, Erber R, Gayther SA, Gentry-Maharaj A, Gilks CB, Harnett PR, Harris HR, Hartmann A, Hein A, Hendley J, Hernandez BY, Jakubowska A, Jimenez-Linan M, Jones ME, Kaufmann SH, Kennedy CJ, Kluz T, Koziak JM, Kristjansdottir B, Le ND, Lener M, Lester J, Lubiński J, Mateoiu C, Orsulic S, Ruebner M, Schoemaker MJ, Shah M, Sharma R, Sherman ME, Shvetsov YB, Soong TR, Steed H, Sukumvanich P, Talhouk A, Taylor SE, Vierkant RA, Wang C, Widschwendter M, Wilkens LR, Winham SJ, Anglesio MS, Berchuck A, Brenton JD, Campbell I, Cook LS, Doherty JA, Fasching PA, Fortner RT, Goodman MT, Gronwald J, Huntsman DG, Karlan BY, Kelemen LE, Menon U, Modugno F, Pharoah PDP, Schildkraut JM, Sundfeldt K, Swerdlow AJ, Goode EL, DeFazio A, Köbel M, Ramus SJ, Bowtell DDL, and Garsed DW
Subjects: Humans, Female, Prognosis, Ubiquitin-Protein Ligases genetics, Neoplasm Grading, Lymphocytes, Tumor-Infiltrating immunology, Lymphocytes, Tumor-Infiltrating metabolism, Middle Aged, Germ-Line Mutation, Gene Expression Regulation, Neoplastic, Aged, Biomarkers, Tumor genetics, CD8-Positive T-Lymphocytes immunology, CD8-Positive T-Lymphocytes metabolism, Ovarian Neoplasms genetics, Ovarian Neoplasms mortality, Ovarian Neoplasms immunology, Ovarian Neoplasms pathology, BRCA2 Protein genetics, BRCA2 Protein deficiency, BRCA1 Protein genetics, BRCA1 Protein deficiency, Cystadenocarcinoma, Serous genetics, Cystadenocarcinoma, Serous pathology, Cystadenocarcinoma, Serous mortality, Cystadenocarcinoma, Serous immunology, Retinoblastoma Binding Proteins genetics
Abstract: Purpose: The purpose of this study was to evaluate RB1 expression and survival across ovarian carcinoma histotypes and how co-occurrence of BRCA1 or BRCA2 (BRCA) alterations and RB1 loss influences survival in tubo-ovarian high-grade serous carcinoma (HGSC)., Experimental Design: RB1 protein expression was classified by immunohistochemistry in ovarian carcinomas of 7,436 patients from the Ovarian Tumor Tissue Analysis consortium. We examined RB1 expression and germline BRCA status in a subset of 1,134 HGSC, and related genotype to overall survival (OS), tumor-infiltrating CD8+ lymphocytes, and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cells with and without BRCA1 alterations to model co-loss with treatment response. We performed whole-genome and transcriptome data analyses on 126 patients with primary HGSC to characterize tumors with concurrent BRCA deficiency and RB1 loss., Results: RB1 loss was associated with longer OS in HGSC but with poorer prognosis in endometrioid ovarian carcinoma. Patients with HGSC harboring both RB1 loss and pathogenic germline BRCA variants had superior OS compared with patients with either alteration alone, and their median OS was three times longer than those without pathogenic BRCA variants and retained RB1 expression (9.3 vs. 3.1 years). Enhanced sensitivity to cisplatin and paclitaxel was seen in BRCA1-altered cells with RB1 knockout. Combined RB1 loss and BRCA deficiency correlated with transcriptional markers of enhanced IFN response, cell-cycle deregulation, and reduced epithelial-mesenchymal transition. CD8+ lymphocytes were most prevalent in BRCA-deficient HGSC with co-loss of RB1., Conclusions: Co-occurrence of RB1 loss and BRCA deficiency was associated with exceptionally long survival in patients with HGSC, potentially due to better treatment response and immune stimulation., (©2024 The Authors; Published by the American Association for Cancer Research.)
Published: 2024
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84. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.

Author: Dareng EO, Coetzee SG, Tyrer JP, Peng PC, Rosenow W, Chen S, Davis BD, Dezem FS, Seo JH, Nameki R, Reyes AL, Aben KKH, Anton-Culver H, Antonenkova NN, Aravantinos G, Bandera EV, Beane Freeman LE, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bolton KL, Brenton JD, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock SJ, Chen K, Chenevix-Trench G, Chiew YE, Cook LS, DeFazio A, Dennis J, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles DM, Ene G, Fasching PA, Flanagan JM, Fortner RT, Fostira F, Gentry-Maharaj A, Giles GG, Goodman MT, Gronwald J, Haiman CA, Håkansson N, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huang RY, Jensen A, Jones ME, Kang D, Karlan BY, Karnezis AN, Kelemen LE, Kennedy CJ, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Larson MC, Le ND, Lester J, Li L, Lubiński J, Lush M, Marks JR, Matsuo K, May T, McLaughlin JR, McNeish IA, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro AN, Moysich KB, Narod SA, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret NC, Park SK, Pejovic T, Permuth JB, Piskorz A, Prokofyeva D, Riggan MJ, Risch HA, Rodríguez-Antona C, Rossing MA, Sandler DP, Setiawan VW, Shan K, Song H, Southey MC, Steed H, Sutphen R, Swerdlow AJ, Teo SH, Terry KL, Thompson PJ, Vestrheim Thomsen LC, Titus L, Trabert B, Travis R, Tworoger SS, Valen E, Van Nieuwenhuysen E, Edwards DV, Vierkant RA, Webb PM, Weinberg CR, Weise RM, Wentzensen N, White E, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode EL, Huntsman DG, Pearce CL, Ramus SJ, Sellers TA, Freedman ML, Lawrenson K, Schildkraut JM, Hazelett D, Plummer JT, Kar S, Jones MR, Pharoah PDP, and Gayther SA
Subjects: Humans, Female, Carcinoma, Ovarian Epithelial genetics, Transcriptome, Risk Factors, Genomics methods, Case-Control Studies, Multiomics, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology, Genetic Predisposition to Disease
Abstract: To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10 -8 ) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10 -5 ). Fine mapping identified 4,008 CCVs in these regions, of which 1,452 CCVs were located in ovarian cancer-related chromatin marks with significant enrichment in active enhancers, active promoters, and active regions for CCVs from each EOC histotype. Transcriptome-wide association and colocalization analyses across histotypes using tissue-specific and cross-tissue datasets identified 86 candidate susceptibility genes in known EOC risk regions and 32 genes in 23 additional genomic regions that may represent novel EOC risk loci (false discovery rate <0.05). Finally, by integrating genome-wide HiChIP interactome analysis with transcriptome-wide association study (TWAS), variant effect predictor, transcription factor ChIP-seq, and motifbreakR data, we identified candidate gene-CCV interactions at each locus. This included risk loci where TWAS identified one or more candidate susceptibility genes (e.g., HOXD-AS2, HOXD8, and HOXD3 at 2q31) and other loci where no candidate gene was identified (e.g., MYC and PVT1 at 8q24) by TWAS. In summary, this study describes a functional framework and provides a greater understanding of the biological significance of risk alleles and candidate gene targets at EOC susceptibility loci identified by a genome-wide association study., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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85. Exome sequencing identifies HELB as a novel susceptibility gene for non-mucinous, non-high-grade-serous epithelial ovarian cancer.

Author: Dicks EM, Tyrer JP, Ezquina S, Jones M, Baierl J, Peng PC, Diaz M, Goode E, Winham SJ, Dörk T, Van Gorp T, De Fazio A, Bowtell D, Odunsi K, Moysich K, Pavanello M, Campbell I, Brenton JD, Ramus SJ, Gayther SA, and Pharoah PDP
Abstract: Rare, germline loss-of-function variants in a handful of genes that encode DNA repair proteins have been shown to be associated with epithelial ovarian cancer with a stronger association for the high-grade serous hiostotype. The aim of this study was to collate exome sequencing data from multiple epithelial ovarian cancer case cohorts and controls in order to systematically evaluate the role of coding, loss-of-function variants across the genome in epithelial ovarian cancer risk. We assembled exome data for a total of 2,573 non-mucinous cases (1,876 high-grade serous and 697 non-high grade serous) and 13,925 controls. Harmonised variant calling and quality control filtering was applied across the different data sets. We carried out a gene-by-gene simple burden test for association of rare loss-of-function variants (minor allele frequency < 0.1%) with all non-mucinous ovarian cancer, high grade serous ovarian cancer and non-high grade serous ovarian cancer using logistic regression adjusted for the top four principal components to account for cryptic population structure and genetic ancestry. Seven of the top 10 associated genes were associations of the known ovarian cancer susceptibility genes BRCA1 , BRCA2 , BRIP1 , RAD51C , RAD51D, MSH6 and PALB2 (false discovery probability < 0.1). A further four genes ( HELB, OR2T35, NBN and MYO1A ) had a false discovery rate of less than 0.1. Of these, HELB was most strongly associated with the non-high grade serous histotype (P = 1.3×10 -6 , FDR = 9.1×10 -4 ). Further support for this association comes from the observation that loss of function variants in this gene are also associated with age at natural menopause and Mendelian randomisation analysis shows an association between genetically predicted age at natural menopause and endometrioid ovarian cancer, but not high-grade serous ovarian cancer.
Published: 2024
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86. Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk.

Author: Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M, Aeilts AM, Aittomäki K, Andrieu N, Andrulis IL, Anton-Culver H, Arason A, Arun BK, Balmaña J, Bandera EV, Barkardottir RB, Berger LPV, de Gonzalez AB, Berthet P, Białkowska K, Bjørge L, Blanco AM, Blok MJ, Bobolis KA, Bogdanova NV, Brenton JD, Butz H, Buys SS, Caligo MA, Campbell I, Castillo C, Claes KBM, Colonna SV, Cook LS, Daly MB, Dansonka-Mieszkowska A, de la Hoya M, deFazio A, DePersia A, Ding YC, Domchek SM, Dörk T, Einbeigi Z, Engel C, Evans DG, Foretova L, Fortner RT, Fostira F, Foti MC, Friedman E, Frone MN, Ganz PA, Gentry-Maharaj A, Glendon G, Godwin AK, González-Neira A, Greene MH, Gronwald J, Guerrieri-Gonzaga A, Hamann U, Hansen TVO, Harris HR, Hauke J, Heitz F, Hogervorst FBL, Hooning MJ, Hopper JL, Huff CD, Huntsman DG, Imyanitov EN, Izatt L, Jakubowska A, James PA, Janavicius R, John EM, Kar S, Karlan BY, Kennedy CJ, Kiemeney LALM, Konstantopoulou I, Kupryjanczyk J, Laitman Y, Lavie O, Lawrenson K, Lester J, Lesueur F, Lopez-Pleguezuelos C, Mai PL, Manoukian S, May T, McNeish IA, Menon U, Milne RL, Modugno F, Mongiovi JM, Montagna M, Moysich KB, Neuhausen SL, Nielsen FC, Noguès C, Oláh E, Olopade OI, Osorio A, Papi L, Pathak H, Pearce CL, Pedersen IS, Peixoto A, Pejovic T, Peng PC, Peshkin BN, Peterlongo P, Powell CB, Prokofyeva D, Pujana MA, Radice P, Rashid MU, Rennert G, Richenberg G, Sandler DP, Sasamoto N, Setiawan VW, Sharma P, Sieh W, Singer CF, Snape K, Sokolenko AP, Soucy P, Southey MC, Stoppa-Lyonnet D, Sutphen R, Sutter C, Teixeira MR, Terry KL, Thomsen LCV, Tischkowitz M, Toland AE, Van Gorp T, Vega A, Velez Edwards DR, Webb PM, Weitzel JN, Wentzensen N, Whittemore AS, Winham SJ, Wu AH, Yadav S, Yu Y, Ziogas A, Berchuck A, Couch FJ, Goode EL, Goodman MT, Monteiro AN, Offit K, Ramus SJ, Risch HA, Schildkraut JM, Thomassen M, Simard J, Easton DF, Jones MR, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP
Abstract: Background: Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We used data from the Ovarian Cancer Association Consortium (OCAC), Consortium of Investigators of Modifiers of BRCA1/BRCA2 (CIMBA), UK Biobank (UKBB), and FinnGen to identify novel HGSOC susceptibility loci and develop polygenic scores (PGS)., Methods: We analyzed >22 million variants for 398,238 women. Associations were assessed separately by consortium and meta-analysed. OCAC and CIMBA data were used to develop PGS which were trained on FinnGen data and validated in UKBB and BioBank Japan., Results: Eight novel variants were associated with HGSOC risk. An interesting discovery biologically was finding that TP53 3'-UTR SNP rs78378222 was associated with HGSOC (per T allele relative risk (RR)=1.44, 95%CI:1.28-1.62, P=1.76×10 -9 ). The optimal PGS included 64,518 variants and was associated with an odds ratio of 1.46 (95%CI:1.37-1.54) per standard deviation in the UKBB validation (AUROC curve=0.61, 95%CI:0.59-0.62)., Conclusions: This study represents the largest GWAS for HGSOC to date. The results highlight that improvements in imputation reference panels and increased sample sizes can identify HGSOC associated variants that previously went undetected, resulting in improved PGS. The use of updated PGS in cancer risk prediction algorithms will then improve personalized risk prediction for HGSOC.
Published: 2024
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87. Concurrent RB1 loss and BRCA -deficiency predicts enhanced immunological response and long-term survival in tubo-ovarian high-grade serous carcinoma.

Author: Saner FAM, Takahashi K, Budden T, Pandey A, Ariyaratne D, Zwimpfer TA, Meagher NS, Fereday S, Twomey L, Pishas KI, Hoang T, Bolithon A, Traficante N, Alsop K, Christie EL, Kang EY, Nelson GS, Ghatage P, Lee CH, Riggan MJ, Alsop J, Beckmann MW, Boros J, Brand AH, Brooks-Wilson A, Carney ME, Coulson P, Courtney-Brooks M, Cushing-Haugen KL, Cybulski C, El-Bahrawy MA, Elishaev E, Erber R, Gayther SA, Gentry-Maharaj A, Blake Gilks C, Harnett PR, Harris HR, Hartmann A, Hein A, Hendley J, Hernandez BY, Jakubowska A, Jimenez-Linan M, Jones ME, Kaufmann SH, Kennedy CJ, Kluz T, Koziak JM, Kristjansdottir B, Le ND, Lener M, Lester J, Lubiński J, Mateoiu C, Orsulic S, Ruebner M, Schoemaker MJ, Shah M, Sharma R, Sherman ME, Shvetsov YB, Singh N, Rinda Soong T, Steed H, Sukumvanich P, Talhouk A, Taylor SE, Vierkant RA, Wang C, Widschwendter M, Wilkens LR, Winham SJ, Anglesio MS, Berchuck A, Brenton JD, Campbell I, Cook LS, Doherty JA, Fasching PA, Fortner RT, Goodman MT, Gronwald J, Huntsman DG, Karlan BY, Kelemen LE, Menon U, Modugno F, Pharoah PDP, Schildkraut JM, Sundfeldt K, Swerdlow AJ, Goode EL, DeFazio A, Köbel M, Ramus SJ, Bowtell DDL, and Garsed DW
Abstract: Background: Somatic loss of the tumour suppressor RB1 is a common event in tubo-ovarian high-grade serous carcinoma (HGSC), which frequently co-occurs with alterations in homologous recombination DNA repair genes including BRCA1 and BRCA2 ( BRCA ). We examined whether tumour expression of RB1 was associated with survival across ovarian cancer histotypes (HGSC, endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous carcinoma (LGSC)), and how co-occurrence of germline BRCA pathogenic variants and RB1 loss influences long-term survival in a large series of HGSC., Patients and Methods: RB1 protein expression patterns were classified by immunohistochemistry in epithelial ovarian carcinomas of 7436 patients from 20 studies participating in the Ovarian Tumor Tissue Analysis consortium and assessed for associations with overall survival (OS), accounting for patient age at diagnosis and FIGO stage. We examined RB1 expression and germline BRCA status in a subset of 1134 HGSC, and related genotype to survival, tumour infiltrating CD8+ lymphocyte counts and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cell lines with and without BRCA1 mutations to model co-loss with treatment response. We also performed genomic analyses on 126 primary HGSC to explore the molecular characteristics of concurrent homologous recombination deficiency and RB1 loss., Results: RB1 protein loss was most frequent in HGSC (16.4%) and was highly correlated with RB1 mRNA expression. RB1 loss was associated with longer OS in HGSC (hazard ratio [HR] 0.74, 95% confidence interval [CI] 0.66-0.83, P = 6.8 ×10 -7 ), but with poorer prognosis in ENOC (HR 2.17, 95% CI 1.17-4.03, P = 0.0140). Germline BRCA mutations and RB1 loss co-occurred in HGSC ( P < 0.0001). Patients with both RB1 loss and germline BRCA mutations had a superior OS (HR 0.38, 95% CI 0.25-0.58, P = 5.2 ×10 -6 ) compared to patients with either alteration alone, and their median OS was three times longer than non-carriers whose tumours retained RB1 expression (9.3 years vs. 3.1 years). Enhanced sensitivity to cisplatin ( P < 0.01) and paclitaxel ( P < 0.05) was seen in BRCA1 mutated cell lines with RB1 knockout. Among 126 patients with whole-genome and transcriptome sequence data, combined RB1 loss and genomic evidence of homologous recombination deficiency was correlated with transcriptional markers of enhanced interferon response, cell cycle deregulation, and reduced epithelial-mesenchymal transition in primary HGSC. CD8+ lymphocytes were most prevalent in BRCA -deficient HGSC with co-loss of RB1 ., Conclusions: Co-occurrence of RB1 loss and BRCA mutation was associated with exceptionally long survival in patients with HGSC, potentially due to better treatment response and immune stimulation., Competing Interests: COMPETING INTERESTS DDLB is an Exo Therapeutics advisor and has received research grant funding from AstraZeneca, Genentech-Roche and BeiGene for unrelated work. SF, NT, KA, and ADeF received grant funding from AstraZeneca for unrelated work. AGM and UM report funded research collaborations for unrelated work with industry: Intelligent Lab on Fiber, RNA Guardian, Micronoma and Mercy BioAnalytics. UM had stock ownership (2011–2021) awarded by University College London (UCL) in Abcodia, which held the licence for the Risk of Ovarian Cancer Algorithm (ROCA). UM reports research collaboration contracts with Cambridge University and QIMR Berghofer Medical Research Institute. UM holds patent number EP10178345.4 for Breast Cancer Diagnostics. UM is a member of Tina’s Wish Scientific Advisory Board (USA) and Research Advisory Panel, Yorkshire Cancer Research (UK). The remaining authors declared no conflicts of interest.
Published: 2023
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88. Author Correction: A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus.

Author: Spisak S, Tisza V, Nuzzo PV, Seo JH, Pataki B, Ribli D, Sztupinszki Z, Bell C, Rohanizadegan M, Stillman DR, Alaiwi SA, Bartels AH, Papp M, Shetty A, Abbasi F, Lin X, Lawrenson K, Gayther SA, Pomerantz M, Baca S, Solymosi N, Csabai I, Szallasi Z, Gusev A, and Freedman ML
Published: 2023
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89. Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.

Author: Gregga I, Pharoah PDP, Gayther SA, Manichaikul A, Im HK, Kar SP, Schildkraut JM, and Wheeler HE
Subjects: Male, Female, Humans, Proteome genetics, Genetic Predisposition to Disease, Prostate, Bayes Theorem, Genome-Wide Association Study, Blood Proteins, Polymorphism, Single Nucleotide, Endometrial Neoplasms genetics, Prostatic Neoplasms genetics
Abstract: Background: Predicting protein levels from genotypes for proteome-wide association studies (PWAS) may provide insight into the mechanisms underlying cancer susceptibility., Methods: We performed PWAS of breast, endometrial, ovarian, and prostate cancers and their subtypes in several large European-ancestry discovery consortia (effective sample size: 237,483 cases/317,006 controls) and tested the results for replication in an independent European-ancestry GWAS (31,969 cases/410,350 controls). We performed PWAS using the cancer GWAS summary statistics and two sets of plasma protein prediction models, followed by colocalization analysis., Results: Using Atherosclerosis Risk in Communities (ARIC) models, we identified 93 protein-cancer associations [false discovery rate (FDR) < 0.05]. We then performed a meta-analysis of the discovery and replication PWAS, resulting in 61 significant protein-cancer associations (FDR < 0.05). Ten of 15 protein-cancer pairs that could be tested using Trans-Omics for Precision Medicine (TOPMed) protein prediction models replicated with the same directions of effect in both cancer GWAS (P < 0.05). To further support our results, we applied Bayesian colocalization analysis and found colocalized SNPs for SERPINA3 protein levels and prostate cancer (posterior probability, PP = 0.65) and SNUPN protein levels and breast cancer (PP = 0.62)., Conclusions: We used PWAS to identify potential biomarkers of hormone-related cancer risk. SNPs in SERPINA3 and SNUPN did not reach genome-wide significance for cancer in the original GWAS, highlighting the power of PWAS for novel locus discovery, with the added advantage of providing directions of protein effect., Impact: PWAS and colocalization are promising methods to identify potential molecular mechanisms underlying complex traits., (©2023 American Association for Cancer Research.)
Published: 2023
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90. A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus.

Author: Spisak S, Tisza V, Nuzzo PV, Seo JH, Pataki B, Ribli D, Sztupinszki Z, Bell C, Rohanizadegan M, Stillman DR, Alaiwi SA, Bartels AH, Papp M, Shetty A, Abbasi F, Lin X, Lawrenson K, Gayther SA, Pomerantz M, Baca S, Solymosi N, Csabai I, Szallasi Z, Gusev A, and Freedman ML
Subjects: Humans, Male, Chromatin genetics, Acetylation, Alleles, Nucleotides, Polymorphism, Single Nucleotide, Neoplasms
Abstract: To date, single-nucleotide polymorphisms (SNPs) have been the most intensively investigated class of polymorphisms in genome wide associations studies (GWAS), however, other classes such as insertion-deletion or multiple nucleotide length polymorphism (MNLPs) may also confer disease risk. Multiple reports have shown that the 5p15.33 prostate cancer risk region is a particularly strong expression quantitative trait locus (eQTL) for Iroquois Homeobox 4 (IRX4) transcripts. Here, we demonstrate using epigenome and genome editing that a biallelic (21 and 47 base pairs (bp)) MNLP is the causal variant regulating IRX4 transcript levels. In LNCaP prostate cancer cells (homozygous for the 21 bp short allele), a single copy knock-in of the 47 bp long allele potently alters the chromatin state, enabling de novo functional binding of the androgen receptor (AR) associated with increased chromatin accessibility, Histone 3 lysine 27 acetylation (H3K27ac), and ~3-fold upregulation of IRX4 expression. We further show that an MNLP is amongst the strongest candidate susceptibility variants at two additional prostate cancer risk loci. We estimated that at least 5% of prostate cancer risk loci could be explained by functional non-SNP causal variants, which may have broader implications for other cancers GWAS. More generally, our results underscore the importance of investigating other classes of inherited variation as causal mediators of human traits., (© 2023. Springer Nature Limited.)
Published: 2023
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91. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis.

Author: Fu Z, Brooks MM, Irvin S, Jordan S, Aben KKH, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Brooks-Wilson A, Chang-Claude J, Cook LS, Cramer DW, Cushing-Haugen KL, Doherty JA, Ekici AB, Fasching PA, Fortner RT, Gayther SA, Gentry-Maharaj A, Giles GG, Goode EL, Goodman MT, Harris HR, Hein A, Kaaks R, Kiemeney LA, Köbel M, Kotsopoulos J, Le ND, Lee AW, Matsuo K, McGuire V, McLaughlin JR, Menon U, Milne RL, Moysich KB, Pearce CL, Pike MC, Qin B, Ramus SJ, Riggan MJ, Rothstein JH, Schildkraut JM, Sieh W, Sutphen R, Terry KL, Thompson PJ, Titus L, van Altena AM, White E, Whittemore AS, Wu AH, Zheng W, Ziogas A, Taylor SE, Tang L, Songer T, Wentzensen N, Webb PM, Risch HA, and Modugno F
Subjects: Pregnancy, Humans, Female, Carcinoma, Ovarian Epithelial epidemiology, Risk Factors, Parity, Contraceptives, Oral adverse effects, Case-Control Studies, Ovarian Neoplasms epidemiology, Ovarian Neoplasms etiology, Ovarian Neoplasms pathology
Abstract: Background: The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC., Methods: LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source., Results: LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes., Conclusions: LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Published: 2023
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92. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study.

Author: Köbel M, Kang EY, Weir A, Rambau PF, Lee CH, Nelson GS, Ghatage P, Meagher NS, Riggan MJ, Alsop J, Anglesio MS, Beckmann MW, Bisinotto C, Boisen M, Boros J, Brand AH, Brooks-Wilson A, Carney ME, Coulson P, Courtney-Brooks M, Cushing-Haugen KL, Cybulski C, Deen S, El-Bahrawy MA, Elishaev E, Erber R, Fereday S, Fischer A, Gayther SA, Barquin-Garcia A, Gentry-Maharaj A, Gilks CB, Gronwald H, Grube M, Harnett PR, Harris HR, Hartkopf AD, Hartmann A, Hein A, Hendley J, Hernandez BY, Huang Y, Jakubowska A, Jimenez-Linan M, Jones ME, Kennedy CJ, Kluz T, Koziak JM, Lesnock J, Lester J, Lubiński J, Longacre TA, Lycke M, Mateoiu C, McCauley BM, McGuire V, Ney B, Olawaiye A, Orsulic S, Osorio A, Paz-Ares L, Ramón Y Cajal T, Rothstein JH, Ruebner M, Schoemaker MJ, Shah M, Sharma R, Sherman ME, Shvetsov YB, Singh N, Steed H, Storr SJ, Talhouk A, Traficante N, Wang C, Whittemore AS, Widschwendter M, Wilkens LR, Winham SJ, Benitez J, Berchuck A, Bowtell DD, Candido Dos Reis FJ, Campbell I, Cook LS, DeFazio A, Doherty JA, Fasching PA, Fortner RT, García MJ, Goodman MT, Goode EL, Gronwald J, Huntsman DG, Karlan BY, Kelemen LE, Kommoss S, Le ND, Martin SG, Menon U, Modugno F, Pharoah PD, Schildkraut JM, Sieh W, Staebler A, Sundfeldt K, Swerdlow AJ, Ramus SJ, and Brenton JD
Subjects: Humans, Female, Tumor Suppressor Protein p53 genetics, Tumor Suppressor Protein p53 metabolism, Carcinoma, Ovarian Epithelial, Ovarian Neoplasms pathology, Carcinoma, Endometrioid metabolism
Abstract: Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC., (© 2023 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.)
Published: 2023
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93. CCNE1 and survival of patients with tubo-ovarian high-grade serous carcinoma: An Ovarian Tumor Tissue Analysis consortium study.

Author: Kang EY, Weir A, Meagher NS, Farrington K, Nelson GS, Ghatage P, Lee CH, Riggan MJ, Bolithon A, Popovic G, Leung B, Tang K, Lambie N, Millstein J, Alsop J, Anglesio MS, Ataseven B, Barlow E, Beckmann MW, Berger J, Bisinotto C, Bösmüller H, Boros J, Brand AH, Brooks-Wilson A, Brucker SY, Carney ME, Casablanca Y, Cazorla-Jiménez A, Cohen PA, Conrads TP, Cook LS, Coulson P, Courtney-Brooks M, Cramer DW, Crowe P, Cunningham JM, Cybulski C, Darcy KM, El-Bahrawy MA, Elishaev E, Erber R, Farrell R, Fereday S, Fischer A, García MJ, Gayther SA, Gentry-Maharaj A, Gilks CB, Grube M, Harnett PR, Harrington SP, Harter P, Hartmann A, Hecht JL, Heikaus S, Hein A, Heitz F, Hendley J, Hernandez BY, Polo SH, Heublein S, Hirasawa A, Høgdall E, Høgdall CK, Horlings HM, Huntsman DG, Huzarski T, Jewell A, Jimenez-Linan M, Jones ME, Kaufmann SH, Kennedy CJ, Khabele D, Kommoss FKF, Kruitwagen RFPM, Lambrechts D, Le ND, Lener M, Lester J, Leung Y, Linder A, Loverix L, Lubiński J, Madan R, Maxwell GL, Modugno F, Neuhausen SL, Olawaiye A, Olbrecht S, Orsulic S, Palacios J, Pearce CL, Pike MC, Quinn CM, Mohan GR, Rodríguez-Antona C, Ruebner M, Ryan A, Salfinger SG, Sasamoto N, Schildkraut JM, Schoemaker MJ, Shah M, Sharma R, Shvetsov YB, Singh N, Sonke GS, Steele L, Stewart CJR, Sundfeldt K, Swerdlow AJ, Talhouk A, Tan A, Taylor SE, Terry KL, Tołoczko A, Traficante N, Van de Vijver KK, van der Aa MA, Van Gorp T, Van Nieuwenhuysen E, van-Wagensveld L, Vergote I, Vierkant RA, Wang C, Wilkens LR, Winham SJ, Wu AH, Benitez J, Berchuck A, Candido Dos Reis FJ, DeFazio A, Fasching PA, Goode EL, Goodman MT, Gronwald J, Karlan BY, Kommoss S, Menon U, Sinn HP, Staebler A, Brenton JD, Bowtell DD, Pharoah PDP, Ramus SJ, and Köbel M
Subjects: Female, Humans, Transcription Factors genetics, RNA, Messenger, Oncogene Proteins genetics, Oncogene Proteins therapeutic use, Cyclin E genetics, Ovarian Neoplasms pathology, Carcinoma, Cystadenocarcinoma, Serous genetics
Abstract: Background: Cyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo-ovarian high-grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large-scale, histotype-specific validation has been performed. The hypothesis was that high-level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC., Methods: Within the Ovarian Tumor Tissue Analysis consortium, amplification status and protein level in 3029 HGSC cases and mRNA expression in 2419 samples were investigated., Results: High-level amplification (>8 copies by chromogenic in situ hybridization) was found in 8.6% of HGSC and overexpression (>60% with at least 5% demonstrating strong intensity by immunohistochemistry) was found in 22.4%. CCNE1 high-level amplification and overexpression both were linked to shorter overall survival in multivariate survival analysis adjusted for age and stage, with hazard stratification by study (hazard ratio [HR], 1.26; 95% CI, 1.08-1.47, p = .034, and HR, 1.18; 95% CI, 1.05-1.32, p = .015, respectively). This was also true for cases with combined high-level amplification/overexpression (HR, 1.26; 95% CI, 1.09-1.47, p = .033). CCNE1 mRNA expression was not associated with overall survival (HR, 1.00 per 1-SD increase; 95% CI, 0.94-1.06; p = .58). CCNE1 high-level amplification is mutually exclusive with the presence of germline BRCA1/2 pathogenic variants and shows an inverse association to RB1 loss., Conclusion: This study provides large-scale validation that CCNE1 high-level amplification is associated with shorter survival, supporting its utility as a prognostic biomarker in HGSC., (© 2022 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)
Published: 2023
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94. Profiling the immune landscape in mucinous ovarian carcinoma.

Author: Meagher NS, Hamilton P, Milne K, Thornton S, Harris B, Weir A, Alsop J, Bisinoto C, Brenton JD, Brooks-Wilson A, Chiu DS, Cushing-Haugen KL, Fereday S, Garsed DW, Gayther SA, Gentry-Maharaj A, Gilks B, Jimenez-Linan M, Kennedy CJ, Le ND, Piskorz AM, Riggan MJ, Shah M, Singh N, Talhouk A, Widschwendter M, Bowtell DDL, Candido Dos Reis FJ, Cook LS, Fortner RT, García MJ, Harris HR, Huntsman DG, Karnezis AN, Köbel M, Menon U, Pharoah PDP, Doherty JA, Anglesio MS, Pike MC, Pearce CL, Friedlander ML, DeFazio A, Nelson BH, and Ramus SJ
Subjects: Humans, Female, Carcinoma, Ovarian Epithelial pathology, CD8-Positive T-Lymphocytes, Forkhead Transcription Factors therapeutic use, Lymphocytes, Tumor-Infiltrating, Tumor Microenvironment, B7-H1 Antigen genetics, Ovarian Neoplasms drug therapy
Abstract: Objective: Mucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients., Methods: We performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 126 MOC patients. Cell densities were calculated in the epithelial and stromal components for tumor-associated macrophages (CD68+/PD-L1+, CD68+/PD-L1-), T cells (CD3+/CD8-, CD3+/CD8+), putative T-regulatory cells (Tregs, FOXP3+), B cells (CD20+/CD79A+), plasma cells (CD20-/CD79a+), and PD-L1+ and PD-1+ cells, and compared these values with clinical factors. Univariate and multivariable Cox Proportional Hazards assessed overall survival. Unsupervised k-means clustering identified patient subsets with common patterns of immune cell infiltration., Results: Mean densities of PD1+ cells, PD-L1- macrophages, CD4+ and CD8+ T cells, and FOXP3+ Tregs were higher in the stroma compared to the epithelium. Tumors from advanced (Stage III/IV) MOC had greater epithelial infiltration of PD-L1- macrophages, and fewer PD-L1+ macrophages compared with Stage I/II cancers (p = 0.004 and p = 0.014 respectively). Patients with high epithelial density of FOXP3+ cells, CD8+/FOXP3+ cells, or PD-L1- macrophages, had poorer survival, and high epithelial CD79a + plasma cells conferred better survival, all upon univariate analysis only. Clustering showed that most MOC (86%) had an immune depleted (cold) phenotype, with only a small proportion (11/76,14%) considered immune inflamed (hot) based on T cell and PD-L1 infiltrates., Conclusion: In summary, MOCs are mostly immunogenically 'cold', suggesting they may have limited response to current immunotherapies., Competing Interests: Declaration of Competing Interest NSM has received a travel grant from NanoString technologies, unrelated to this work. DDLB has received research support grants from Roche-Genentech, AstraZeneca, and BeiGene (paid to institution); and personal consulting fees from Exo Therapeutics, that are outside the submitted work. MF has participated in Advisory Boards/Consulting from Astra Zeneca, Novartis, GSK, Takeda, Lilly, MSD Eisei and received honoraria/speakers' fees from AstraZeneca, GSK, ACT-Genomics; Research funding to institution: from AstraZeneca, Novartis, Beigene, all unrelated to this work. ADeF has received funding from AstraZeneca, unrelated this work. NS has received honoraria for invited participation in advisory boards hosted by Astra-Zeneca-MSD and Glaxo SmithKline, unrelated to this work. UM had stock ownership in Abcodia until October 2021, and UCL had a license agreement (2011–2021) with Abcodia not related to this work. BHN is a co-founder of Innovakine Therapeutics Inc., unrelated to this work., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)
Published: 2023
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95. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci.

Author: DeVries AA, Dennis J, Tyrer JP, Peng PC, Coetzee SG, Reyes AL, Plummer JT, Davis BD, Chen SS, Dezem FS, Aben KKH, Anton-Culver H, Antonenkova NN, Beckmann MW, Beeghly-Fadiel A, Berchuck A, Bogdanova NV, Bogdanova-Markov N, Brenton JD, Butzow R, Campbell I, Chang-Claude J, Chenevix-Trench G, Cook LS, DeFazio A, Doherty JA, Dörk T, Eccles DM, Eliassen AH, Fasching PA, Fortner RT, Giles GG, Goode EL, Goodman MT, Gronwald J, Håkansson N, Hildebrandt MAT, Huff C, Huntsman DG, Jensen A, Kar S, Karlan BY, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Le ND, Lubiński J, May T, Menon U, Milne RL, Modugno F, Monteiro AN, Moysich KB, Odunsi K, Olsson H, Pearce CL, Pejovic T, Ramus SJ, Riboli E, Riggan MJ, Romieu I, Sandler DP, Schildkraut JM, Setiawan VW, Sieh W, Song H, Sutphen R, Terry KL, Thompson PJ, Titus L, Tworoger SS, Van Nieuwenhuysen E, Edwards DV, Webb PM, Wentzensen N, Whittemore AS, Wolk A, Wu AH, Ziogas A, Freedman ML, Lawrenson K, Pharoah PDP, Easton DF, Gayther SA, and Jones MR
Subjects: Female, Humans, Carcinoma, Ovarian Epithelial genetics, Alleles, DNA Copy Number Variations, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology
Abstract: Background: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort., Methods: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types., Results: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types., Conclusions: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention., (© The Author(s) 2022. Published by Oxford University Press.)
Published: 2022
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96. Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers.

Author: Hakkaart C, Pearson JF, Marquart L, Dennis J, Wiggins GAR, Barnes DR, Robinson BA, Mace PD, Aittomäki K, Andrulis IL, Arun BK, Azzollini J, Balmaña J, Barkardottir RB, Belhadj S, Berger L, Blok MJ, Boonen SE, Borde J, Bradbury AR, Brunet J, Buys SS, Caligo MA, Campbell I, Chung WK, Claes KBM, Collonge-Rame MA, Cook J, Cosgrove C, Couch FJ, Daly MB, Dandiker S, Davidson R, de la Hoya M, de Putter R, Delnatte C, Dhawan M, Diez O, Ding YC, Domchek SM, Donaldson A, Eason J, Easton DF, Ehrencrona H, Engel C, Evans DG, Faust U, Feliubadaló L, Fostira F, Friedman E, Frone M, Frost D, Garber J, Gayther SA, Gehrig A, Gesta P, Godwin AK, Goldgar DE, Greene MH, Hahnen E, Hake CR, Hamann U, Hansen TVO, Hauke J, Hentschel J, Herold N, Honisch E, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Izquierdo A, Jakubowska A, James PA, Janavicius R, John EM, Joseph V, Karlan BY, Kemp Z, Kirk J, Konstantopoulou I, Koudijs M, Kwong A, Laitman Y, Lalloo F, Lasset C, Lautrup C, Lazaro C, Legrand C, Leslie G, Lesueur F, Mai PL, Manoukian S, Mari V, Martens JWM, McGuffog L, Mebirouk N, Meindl A, Miller A, Montagna M, Moserle L, Mouret-Fourme E, Musgrave H, Nambot S, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nguyen-Dumont T, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Osorio A, Ott CE, Park SK, Parsons MT, Pedersen IS, Peixoto A, Perez-Segura P, Peterlongo P, Pocza T, Radice P, Ramser J, Rantala J, Rodriguez GC, Rønlund K, Rosenberg EH, Rossing M, Schmutzler RK, Shah PD, Sharif S, Sharma P, Side LE, Simard J, Singer CF, Snape K, Steinemann D, Stoppa-Lyonnet D, Sutter C, Tan YY, Teixeira MR, Teo SH, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Trainer AH, Tripathi V, Tung N, van Engelen K, van Rensburg EJ, Vega A, Viel A, Walker L, Weitzel JN, Wevers MR, Chenevix-Trench G, Spurdle AB, Antoniou AC, and Walker LC
Subjects: BRCA1 Protein genetics, BRCA2 Protein genetics, DNA Copy Number Variations, Female, Genetic Predisposition to Disease, Heterozygote, Humans, RNA, Messenger, Breast Neoplasms genetics, Breast Neoplasms pathology
Abstract: The contribution of germline copy number variants (CNVs) to risk of developing cancer in individuals with pathogenic BRCA1 or BRCA2 variants remains relatively unknown. We conducted the largest genome-wide analysis of CNVs in 15,342 BRCA1 and 10,740 BRCA2 pathogenic variant carriers. We used these results to prioritise a candidate breast cancer risk-modifier gene for laboratory analysis and biological validation. Notably, the HR for deletions in BRCA1 suggested an elevated breast cancer risk estimate (hazard ratio (HR) = 1.21), 95% confidence interval (95% CI = 1.09-1.35) compared with non-CNV pathogenic variants. In contrast, deletions overlapping SULT1A1 suggested a decreased breast cancer risk (HR = 0.73, 95% CI 0.59-0.91) in BRCA1 pathogenic variant carriers. Functional analyses of SULT1A1 showed that reduced mRNA expression in pathogenic BRCA1 variant cells was associated with reduced cellular proliferation and reduced DNA damage after treatment with DNA damaging agents. These data provide evidence that deleterious variants in BRCA1 plus SULT1A1 deletions contribute to variable breast cancer risk in BRCA1 carriers., (© 2022. The Author(s).)
Published: 2022
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97. DNA methylation and transcriptomic features are preserved throughout disease recurrence and chemoresistance in high grade serous ovarian cancers.

Author: Gull N, Jones MR, Peng PC, Coetzee SG, Silva TC, Plummer JT, Reyes ALP, Davis BD, Chen SS, Lawrenson K, Lester J, Walsh C, Rimel BJ, Li AJ, Cass I, Berg Y, Govindavari JB, Rutgers JKL, Berman BP, Karlan BY, and Gayther SA
Subjects: Drug Resistance, Neoplasm genetics, Female, Humans, Neoplasm Recurrence, Local drug therapy, Neoplasm Recurrence, Local genetics, Transcriptome, DNA Methylation, Ovarian Neoplasms drug therapy, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology
Abstract: Background: Little is known about the role of global DNA methylation in recurrence and chemoresistance of high grade serous ovarian cancer (HGSOC)., Methods: We performed whole genome bisulfite sequencing and transcriptome sequencing in 62 primary and recurrent tumors from 28 patients with stage III/IV HGSOC, of which 11 patients carried germline, pathogenic BRCA1 and/or BRCA2 mutations., Results: Landscapes of genome-wide methylation (on average 24.2 million CpGs per tumor) and transcriptomes in primary and recurrent tumors showed extensive heterogeneity between patients but were highly preserved in tumors from the same patient. We identified significant differences in the burden of differentially methylated regions (DMRs) in tumors from BRCA1/2 compared to non-BRCA1/2 carriers (mean 659 DMRs and 388 DMRs in paired comparisons respectively). We identified overexpression of immune pathways in BRCA1/2 carriers compared to non-carriers, implicating an increased immune response in improved survival (P = 0.006) in these BRCA1/2 carriers., Conclusion: These findings indicate methylome and gene expression programs established in the primary tumor are conserved throughout disease progression, even after extensive chemotherapy treatment, and that changes in methylation and gene expression are unlikely to serve as drivers for chemoresistance in HGSOC., (© 2022. The Author(s).)
Published: 2022
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98. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author: Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dörk T, du Bois A, Dürst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubiński J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamariña M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB, Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP
Published: 2022
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99. Validated biomarker assays confirm that ARID1A loss is confounded with MMR deficiency, CD8 + TIL infiltration, and provides no independent prognostic value in endometriosis-associated ovarian carcinomas.

Author: Heinze K, Nazeran TM, Lee S, Krämer P, Cairns ES, Chiu DS, Leung SC, Kang EY, Meagher NS, Kennedy CJ, Boros J, Kommoss F, Vollert HW, Heitz F, du Bois A, Harter P, Grube M, Kraemer B, Staebler A, Kommoss FK, Heublein S, Sinn HP, Singh N, Laslavic A, Elishaev E, Olawaiye A, Moysich K, Modugno F, Sharma R, Brand AH, Harnett PR, DeFazio A, Fortner RT, Lubinski J, Lener M, Tołoczko-Grabarek A, Cybulski C, Gronwald H, Gronwald J, Coulson P, El-Bahrawy MA, Jones ME, Schoemaker MJ, Swerdlow AJ, Gorringe KL, Campbell I, Cook L, Gayther SA, Carney ME, Shvetsov YB, Hernandez BY, Wilkens LR, Goodman MT, Mateoiu C, Linder A, Sundfeldt K, Kelemen LE, Gentry-Maharaj A, Widschwendter M, Menon U, Bolton KL, Alsop J, Shah M, Jimenez-Linan M, Pharoah PD, Brenton JD, Cushing-Haugen KL, Harris HR, Doherty JA, Gilks B, Ghatage P, Huntsman DG, Nelson GS, Tinker AV, Lee CH, Goode EL, Nelson BH, Ramus SJ, Kommoss S, Talhouk A, Köbel M, and Anglesio MS
Subjects: Biomarkers, Tumor analysis, Biomarkers, Tumor genetics, Brain Neoplasms, CD8-Positive T-Lymphocytes pathology, Canada, Colorectal Neoplasms, DNA-Binding Proteins genetics, Female, Humans, Neoplastic Syndromes, Hereditary, Nuclear Proteins genetics, Prognosis, Transcription Factors genetics, Carcinoma, Endometriosis genetics, Endometriosis pathology, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology
Abstract: ARID1A (BAF250a) is a component of the SWI/SNF chromatin modifying complex, plays an important tumour suppressor role, and is considered prognostic in several malignancies. However, in ovarian carcinomas there are contradictory reports on its relationship to outcome, immune response, and correlation with clinicopathological features. We assembled a series of 1623 endometriosis-associated ovarian carcinomas, including 1078 endometrioid (ENOC) and 545 clear cell (CCOC) ovarian carcinomas, through combining resources of the Ovarian Tumor Tissue Analysis (OTTA) Consortium, the Canadian Ovarian Unified Experimental Resource (COEUR), local, and collaborative networks. Validated immunohistochemical surrogate assays for ARID1A mutations were applied to all samples. We investigated associations between ARID1A loss/mutation, clinical features, outcome, CD8 + tumour-infiltrating lymphocytes (CD8 + TILs), and DNA mismatch repair deficiency (MMRd). ARID1A loss was observed in 42% of CCOCs and 25% of ENOCs. We found no associations between ARID1A loss and outcomes, stage, age, or CD8 + TIL status in CCOC. Similarly, we found no association with outcome or stage in endometrioid cases. In ENOC, ARID1A loss was more prevalent in younger patients (p = 0.012) and was associated with MMRd (p < 0.001) and the presence of CD8 + TILs (p = 0.008). Consistent with MMRd being causative of ARID1A mutations, in a subset of ENOCs we also observed an association with ARID1A loss-of-function mutation as a result of small indels (p = 0.035, versus single nucleotide variants). In ENOC, the association with ARID1A loss, CD8 + TILs, and age appears confounded by MMRd status. Although this observation does not explicitly rule out a role for ARID1A influence on CD8 + TIL infiltration in ENOC, given current knowledge regarding MMRd, it seems more likely that effects are dominated by the hypermutation phenotype. This large dataset with consistently applied biomarker assessment now provides a benchmark for the prevalence of ARID1A loss-of-function mutations in endometriosis-associated ovarian cancers and brings clarity to the prognostic significance. © 2021 The Pathological Society of Great Britain and Ireland., (© 2021 The Pathological Society of Great Britain and Ireland.)
Published: 2022
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100. MCM3 is a novel proliferation marker associated with longer survival for patients with tubo-ovarian high-grade serous carcinoma.

Author: Kang EY, Millstein J, Popovic G, Meagher NS, Bolithon A, Talhouk A, Chiu DS, Anglesio MS, Leung B, Tang K, Lambie N, Pavanello M, Da-Anoy A, Lambrechts D, Loverix L, Olbrecht S, Bisinotto C, Garcia-Donas J, Ruiz-Llorente S, Yagüe-Fernandez M, Edwards RP, Elishaev E, Olawaiye A, Taylor S, Ataseven B, du Bois A, Harter P, Lester J, Høgdall CK, Armasu SM, Huang Y, Vierkant RA, Wang C, Winham SJ, Heublein S, Kommoss FKF, Cramer DW, Sasamoto N, van-Wagensveld L, Lycke M, Mateoiu C, Joseph J, Pike MC, Odunsi K, Tseng CC, Pearce CL, Bilic S, Conrads TP, Hartmann A, Hein A, Jones ME, Leung Y, Beckmann MW, Ruebner M, Schoemaker MJ, Terry KL, El-Bahrawy MA, Coulson P, Etter JL, LaVigne-Mager K, Andress J, Grube M, Fischer A, Neudeck N, Robertson G, Farrell R, Barlow E, Quinn C, Hettiaratchi A, Casablanca Y, Erber R, Stewart CJR, Tan A, Yu Y, Boros J, Brand AH, Harnett PR, Kennedy CJ, Nevins N, Morgan T, Fasching PA, Vergote I, Swerdlow AJ, Candido Dos Reis FJ, Maxwell GL, Neuhausen SL, Barquin-Garcia A, Modugno F, Moysich KB, Crowe PJ, Hirasawa A, Heitz F, Karlan BY, Goode EL, Sinn P, Horlings HM, Høgdall E, Sundfeldt K, Kommoss S, Staebler A, Wu AH, Cohen PA, DeFazio A, Lee CH, Steed H, Le ND, Gayther SA, Lawrenson K, Pharoah PDP, Konecny G, Cook LS, Ramus SJ, Kelemen LE, and Köbel M
Subjects: Biomarkers, Tumor analysis, Cell Proliferation, Female, Humans, Ki-67 Antigen, RNA, Messenger, Survival Rate, Cystadenocarcinoma, Serous pathology, Minichromosome Maintenance Complex Component 3 genetics, Ovarian Neoplasms pathology
Abstract: Tubo-ovarian high-grade serous carcinomas (HGSC) are highly proliferative neoplasms that generally respond well to platinum/taxane chemotherapy. We recently identified minichromosome maintenance complex component 3 (MCM3), which is involved in the initiation of DNA replication and proliferation, as a favorable prognostic marker in HGSC. Our objective was to further validate whether MCM3 mRNA expression and possibly MCM3 protein levels are associated with survival in patients with HGSC. MCM3 mRNA expression was measured using NanoString expression profiling on formalin-fixed and paraffin-embedded tissue (N = 2355 HGSC) and MCM3 protein expression was assessed by immunohistochemistry (N = 522 HGSC) and compared with Ki-67. Kaplan-Meier curves and the Cox proportional hazards model were used to estimate associations with survival. Among chemotherapy-naïve HGSC, higher MCM3 mRNA expression (one standard deviation increase in the score) was associated with longer overall survival (HR = 0.87, 95% CI 0.81-0.92, p < 0.0001, N = 1840) in multivariable analysis. MCM3 mRNA expression was highest in the HGSC C5.PRO molecular subtype, although no interaction was observed between MCM3, survival and molecular subtypes. MCM3 and Ki-67 protein levels were significantly lower after exposure to neoadjuvant chemotherapy compared to chemotherapy-naïve tumors: 37.0% versus 46.4% and 22.9% versus 34.2%, respectively. Among chemotherapy-naïve HGSC, high MCM3 protein levels were also associated with significantly longer disease-specific survival (HR = 0.52, 95% CI 0.36-0.74, p = 0.0003, N = 392) compared to cases with low MCM3 protein levels in multivariable analysis. MCM3 immunohistochemistry is a promising surrogate marker of proliferation in HGSC., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2022
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