38 results on '"Brais L"'
Search Results
2. Plasma inflammatory cytokines and survival of pancreatic cancer patients
- Author
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Babic, A., Schnure, N., Neupane, N. P., Zaman, M. M., Rifai, N., Welch, M. W., Brais, L. K., Rubinson, D. A., Morales-Oyarvide, V., Yuan, C., Zhang, S., Poole, E. M., Wolpin, B. M., Kulke, M. H., Barbie, D. A., Wong, K., Fuchs, C. S., and Ng, K.
- Published
- 2018
- Full Text
- View/download PDF
3. A transcriptome-wide association study identifies novel candidate susceptibility genes for pancreatic cancer.
- Author
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Hasan M., Zhang T., Xiao W., Albanes D., Andreotti G., Arslan A.A., Babic A., Bamlet W.R., Beane-Freeman L., Berndt S., Borgida A., Bracci P.M., Brais L., Brennan P., Bueno-De-Mesquita B., Buring J., Canzian F., Childs E.J., Cotterchio M., Du M., Duell E.J., Fuchs C., Gallinger S., Michael Gaziano J., Giles G.G., Giovannucci E., Goggins M., Goodman G.E., Goodman P.J., Haiman C., Hartge P., Helzlsouer K.J., Holly E.A., Klein E.A., Kogevinas M., Kurtz R.J., LeMarchand L., Malats N., Mannisto S., Milne R., Neale R.E., Ng K., Obazee O., Oberg A.L., Orlow I., Patel A.V., Peters U., Porta M., Rothman N., Scelo G., Sesso H.D., Severi G., Sieri S., Silverman D., Sund M., Tjonneland A., Thornquist M.D., Tobias G.S., Trichopoulou A., van Den Eeden S.K., Visvanathan K., Wactawski-Wende J., Wentzensen N., White E., Yu H., Yuan C., Zeleniuch-Jacquotte A., Hoover R., Brown K., Kooperberg C., Risch H.A., Jacobs E.J., Li D., Yu K., Shu X.-O., Chanock S.J., Wolpin B.M., Stolzenberg-Solomon R.Z., Chatterjee N., Klein A.P., Smith J.P., Kraft P., Shi J., Petersen G.M., Zheng W., Amundadottir L.T., Zhong J., Jermusyk A., Wu L., Hoskins J.W., Collins I., Mocci E., Zhang M., Song L., Chung C.C., Hasan M., Zhang T., Xiao W., Albanes D., Andreotti G., Arslan A.A., Babic A., Bamlet W.R., Beane-Freeman L., Berndt S., Borgida A., Bracci P.M., Brais L., Brennan P., Bueno-De-Mesquita B., Buring J., Canzian F., Childs E.J., Cotterchio M., Du M., Duell E.J., Fuchs C., Gallinger S., Michael Gaziano J., Giles G.G., Giovannucci E., Goggins M., Goodman G.E., Goodman P.J., Haiman C., Hartge P., Helzlsouer K.J., Holly E.A., Klein E.A., Kogevinas M., Kurtz R.J., LeMarchand L., Malats N., Mannisto S., Milne R., Neale R.E., Ng K., Obazee O., Oberg A.L., Orlow I., Patel A.V., Peters U., Porta M., Rothman N., Scelo G., Sesso H.D., Severi G., Sieri S., Silverman D., Sund M., Tjonneland A., Thornquist M.D., Tobias G.S., Trichopoulou A., van Den Eeden S.K., Visvanathan K., Wactawski-Wende J., Wentzensen N., White E., Yu H., Yuan C., Zeleniuch-Jacquotte A., Hoover R., Brown K., Kooperberg C., Risch H.A., Jacobs E.J., Li D., Yu K., Shu X.-O., Chanock S.J., Wolpin B.M., Stolzenberg-Solomon R.Z., Chatterjee N., Klein A.P., Smith J.P., Kraft P., Shi J., Petersen G.M., Zheng W., Amundadottir L.T., Zhong J., Jermusyk A., Wu L., Hoskins J.W., Collins I., Mocci E., Zhang M., Song L., and Chung C.C.
- Abstract
Background: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Method(s): To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74-421 samples). Result(s): We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate <.05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22:RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction. Conclusion(s): By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation.Copyright © 2020 Oxford University Press. All rights reserved.
- Published
- 2021
4. Composition, spatial characteristics, and prognostic significance of myeloid cell infiltration in pancreatic cancer
- Author
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Väyrynen, S. A. (Sara A.), Zhang, J. (Jinming), Yuan, C. (Chen), Väyrynen, J. P. (Juha P.), Dias Costa, A. (Andressa), Williams, H. (Hannah), Morales-Oyarvide, V. (Vicente), Lau, M. C. (Mai Chan), Rubinson, D. A. (Douglas A.), Dunne, R. F. (Richard F.), Kozak, M. M. (Margaret M.), Wang, W. (Wenjia), Agostini-Vulaj, D. (Diana), Drage, M. G. (Michael G.), Brais, L. (Lauren), Reilly, E. (Emma), Rahma, O. (Osama), Clancy, T. (Thomas), Wang, J. (Jiping), Linehan, D. C. (David C.), Aguirre, A. J. (Andrew J.), Fuchs, C. S. (Charles, S.), Coussens, L. M. (Lisa M.), Chang, D. T. (Daniel T.), Koong, A. C. (Albert C.), Hezel, A. F. (Aram F.), Ogino, S. (Shuji), Nowak, J. A. (Jonathan A.), Wolpin, B. M. (Brian M.), Väyrynen, S. A. (Sara A.), Zhang, J. (Jinming), Yuan, C. (Chen), Väyrynen, J. P. (Juha P.), Dias Costa, A. (Andressa), Williams, H. (Hannah), Morales-Oyarvide, V. (Vicente), Lau, M. C. (Mai Chan), Rubinson, D. A. (Douglas A.), Dunne, R. F. (Richard F.), Kozak, M. M. (Margaret M.), Wang, W. (Wenjia), Agostini-Vulaj, D. (Diana), Drage, M. G. (Michael G.), Brais, L. (Lauren), Reilly, E. (Emma), Rahma, O. (Osama), Clancy, T. (Thomas), Wang, J. (Jiping), Linehan, D. C. (David C.), Aguirre, A. J. (Andrew J.), Fuchs, C. S. (Charles, S.), Coussens, L. M. (Lisa M.), Chang, D. T. (Daniel T.), Koong, A. C. (Albert C.), Hezel, A. F. (Aram F.), Ogino, S. (Shuji), Nowak, J. A. (Jonathan A.), and Wolpin, B. M. (Brian M.)
- Abstract
Purpose: Although abundant myeloid cell populations in the pancreatic ductal adenocarcinoma (PDAC) microenvironment have been postulated to suppress antitumor immunity, the composition of these populations, their spatial locations, and how they relate to patient outcomes are poorly understood. Experimental Design: To generate spatially resolved tumor and immune cell data at single-cell resolution, we developed two quantitative multiplex immunofluorescence assays to interrogate myeloid cells (CD15, CD14, ARG1, CD33, HLA-DR) and macrophages [CD68, CD163, CD86, IFN regulatory factor 5, MRC1 (CD206)] in the PDAC tumor microenvironment. Spatial point pattern analyses were conducted to assess the degree of colocalization between tumor cells and immune cells. Multivariable-adjusted Cox proportional hazards regression was used to assess associations with patient outcomes. Results: In a multi-institutional cohort of 305 primary PDAC resection specimens, myeloid cells were abundant, enriched within stromal regions, highly heterogeneous across tumors, and differed by somatic genotype. High densities of CD15⁺ARG1⁺ immunosuppressive granulocytic cells and M2-polarized macrophages were associated with worse patient survival. Moreover, beyond cell density, closer proximity of M2-polarized macrophages to tumor cells was strongly associated with disease-free survival, revealing the clinical significance and biologic importance of immune cell localization within tumor areas. Conclusions: A diverse set of myeloid cells are present within the PDAC tumor microenvironment and are distributed heterogeneously across patient tumors. Not only the densities but also the spatial locations of myeloid immune cells are associated with patient outcomes, highlighting the potential role of spatially resolved myeloid cell subtypes as quantitative biomarkers for PDAC prognosis and therapy.
- Published
- 2021
5. Soil conditioning laboratory trials for the Port of Miami Tunnel, Miami, Florida, USA
- Author
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Merritt, A, primary, Jefferis, S, additional, Storry, R, additional, and Brais, L, additional
- Published
- 2013
- Full Text
- View/download PDF
6. A geotechnical challenge at the limit: TBM tunnelling beneath the Port of Miami, Florida, USA
- Author
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Storry, R, primary, Brais, L, additional, and Pascual, P, additional
- Published
- 2013
- Full Text
- View/download PDF
7. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer
- Author
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Klein, A.P. Wolpin, B.M. Risch, H.A. Stolzenberg-Solomon, R.Z. Mocci, E. Zhang, M. Canzian, F. Childs, E.J. Hoskins, J.W. Jermusyk, A. Zhong, J. Chen, F. Albanes, D. Andreotti, G. Arslan, A.A. Babic, A. Bamlet, W.R. Beane-Freeman, L. Berndt, S.I. Blackford, A. Borges, M. Borgida, A. Bracci, P.M. Brais, L. Brennan, P. Brenner, H. Bueno-De-Mesquita, B. Buring, J. Campa, D. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chung, C.C. Cleary, S. Cotterchio, M. Dijk, F. Duell, E.J. Foretova, L. Fuchs, C. Funel, N. Gallinger, S. Gaziano, J.M.M. Gazouli, M. Giles, G.G. Giovannucci, E. Goggins, M. Goodman, G.E. Goodman, P.J. Hackert, T. Haiman, C. Hartge, P. Hasan, M. Hegyi, P. Helzlsouer, K.J. Herman, J. Holcatova, I. Holly, E.A. Hoover, R. Hung, R.J. Jacobs, E.J. Jamroziak, K. Janout, V. Kaaks, R. Khaw, K.-T. Klein, E.A. Kogevinas, M. Kooperberg, C. Kulke, M.H. Kupcinskas, J. Kurtz, R.J. Laheru, D. Landi, S. Lawlor, R.T. Lee, I.-M. Lemarchand, L. Lu, L. Malats, N. Mambrini, A. Mannisto, S. Milne, R.L. Mohelníková-Duchoňová, B. Neale, R.E. Neoptolemos, J.P. Oberg, A.L. Olson, S.H. Orlow, I. Pasquali, C. Patel, A.V. Peters, U. Pezzilli, R. Porta, M. Real, F.X. Rothman, N. Scelo, G. Sesso, H.D. Severi, G. Shu, X.-O. Silverman, D. Smith, J.P. Soucek, P. Sund, M. Talar-Wojnarowska, R. Tavano, F. Thornquist, M.D. Tobias, G.S. Van Den Eeden, S.K. Vashist, Y. Visvanathan, K. Vodicka, P. Wactawski-Wende, J. Wang, Z. Wentzensen, N. White, E. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Zheng, W. Kraft, P. Li, D. Chanock, S. Obazee, O. Petersen, G.M. Amundadottir, L.T.
- Abstract
In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10-8). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: Rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10-14), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10-10), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10-8), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10-8). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene. © 2018 The Author(s).
- Published
- 2018
8. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer
- Author
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Klein, AP, Wolpin, BM, Risch, HA, Stolzenberg-Solomon, RZ, Mocci, E, Zhang, M, Canzian, F, Childs, EJ, Hoskins, JW, Jermusyk, A, Zhong, J, Chen, F, Albanes, D, Andreotti, G, Arslan, AA, Babic, A, Bamlet, WR, Beane-Freeman, L, Berndt, SI, Blackford, A, Borges, M, Borgida, A, Bracci, PM, Brais, L, Brennan, P, Brenner, H, Bueno-de-Mesquita, B, Buring, J, Campa, D, Capurso, G, Cavestro, GM, Chaffee, KG, Chung, CC, Cleary, S, Cotterchio, M, Dijk, F, Duell, EJ, Foretova, L, Fuchs, C, Funel, N, Gallinger, S, Gaziano, JMM, Gazouli, M, Giles, GG, Giovannucci, E, Goggins, M, Goodman, GE, Goodman, PJ, Hackert, T, Haiman, C, Hartge, P, Hasan, M, Hegyi, P, Helzlsouer, KJ, Herman, J, Holcatova, I, Holly, EA, Hoover, R, Hung, RJ, Jacobs, EJ, Jamroziak, K, Janout, V, Kaaks, R, Khaw, K-T, Klein, EA, Kogevinas, M, Kooperberg, C, Kulke, MH, Kupcinskas, J, Kurtz, RJ, Laheru, D, Landi, S, Lawlor, RT, Lee, I-M, LeMarchand, L, Lu, L, Malats, N, Mambrini, A, Mannisto, S, Milne, RL, Mohelnikova-Duchonova, B, Neale, RE, Neoptolemos, JP, Oberg, AL, Olson, SH, Orlow, I, Pasquali, C, Patel, AV, Peters, U, Pezzilli, R, Porta, M, Real, FX, Rothman, N, Scelo, G, Sesso, HD, Severi, G, Shu, X-O, Silverman, D, Smith, JP, Soucek, P, Sund, M, Talar-Wojnarowska, R, Tavano, F, Thornquist, MD, Tobias, GS, Van Den Eeden, SK, Vashist, Y, Visvanathan, K, Vodicka, P, Wactawski-Wende, J, Wang, Z, Wentzensen, N, White, E, Yu, H, Yu, K, Zeleniuch-Jacquotte, A, Zheng, W, Kraft, P, Li, D, Chanock, S, Obazee, O, Petersen, GM, Amundadottir, LT, Klein, AP, Wolpin, BM, Risch, HA, Stolzenberg-Solomon, RZ, Mocci, E, Zhang, M, Canzian, F, Childs, EJ, Hoskins, JW, Jermusyk, A, Zhong, J, Chen, F, Albanes, D, Andreotti, G, Arslan, AA, Babic, A, Bamlet, WR, Beane-Freeman, L, Berndt, SI, Blackford, A, Borges, M, Borgida, A, Bracci, PM, Brais, L, Brennan, P, Brenner, H, Bueno-de-Mesquita, B, Buring, J, Campa, D, Capurso, G, Cavestro, GM, Chaffee, KG, Chung, CC, Cleary, S, Cotterchio, M, Dijk, F, Duell, EJ, Foretova, L, Fuchs, C, Funel, N, Gallinger, S, Gaziano, JMM, Gazouli, M, Giles, GG, Giovannucci, E, Goggins, M, Goodman, GE, Goodman, PJ, Hackert, T, Haiman, C, Hartge, P, Hasan, M, Hegyi, P, Helzlsouer, KJ, Herman, J, Holcatova, I, Holly, EA, Hoover, R, Hung, RJ, Jacobs, EJ, Jamroziak, K, Janout, V, Kaaks, R, Khaw, K-T, Klein, EA, Kogevinas, M, Kooperberg, C, Kulke, MH, Kupcinskas, J, Kurtz, RJ, Laheru, D, Landi, S, Lawlor, RT, Lee, I-M, LeMarchand, L, Lu, L, Malats, N, Mambrini, A, Mannisto, S, Milne, RL, Mohelnikova-Duchonova, B, Neale, RE, Neoptolemos, JP, Oberg, AL, Olson, SH, Orlow, I, Pasquali, C, Patel, AV, Peters, U, Pezzilli, R, Porta, M, Real, FX, Rothman, N, Scelo, G, Sesso, HD, Severi, G, Shu, X-O, Silverman, D, Smith, JP, Soucek, P, Sund, M, Talar-Wojnarowska, R, Tavano, F, Thornquist, MD, Tobias, GS, Van Den Eeden, SK, Vashist, Y, Visvanathan, K, Vodicka, P, Wactawski-Wende, J, Wang, Z, Wentzensen, N, White, E, Yu, H, Yu, K, Zeleniuch-Jacquotte, A, Zheng, W, Kraft, P, Li, D, Chanock, S, Obazee, O, Petersen, GM, and Amundadottir, LT
- Abstract
In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10-8). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10-14), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10-10), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10-8), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10-8). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene.
- Published
- 2018
9. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
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Zhang, M. Wang, Z. Obazee, O. Jia, J. Childs, E.J. Hoskins, J. Figlioli, G. Mocci, E. Collins, I. Chung, C.C. Hautman, C. Arslan, A.A. Beane-Freeman, L. Bracci, P.M. Buring, J. Duell, E.J. Gallinger, S. Giles, G.G. Goodman, G.E. Goodman, P.J. Kamineni, A. Kolonel, L.N. Kulke, M.H. Malats, N. Olson, S.H. Sesso, H.D. Visvanathan, K. White, E. Zheng, W. Abnet, C.C. Albanes, D. Andreotti, G. Brais, L. Bas Bueno-de-Mesquita, H. Basso, D. Berndt, S.I. Boutron-Ruault, M.-C. Bijlsma, M.F. Brenner, H. Burdette, L. Campa, D. Caporaso, N.E. Capurso, G. Cavestro, G.M. Cotterchio, M. Costello, E. Elena, J. Boggi, U. Michael Gaziano, J. Gazouli, M. Giovannucci, E.L. Goggins, M. Gross, M. Haiman, C.A. Hassan, M. Helzlsouer, K.J. Hu, N. Hunter, D.J. Iskierka-Jazdzewska, E. Jenab, M. Kaaks, R. Key, T.J. Khaw, K.-T. Klein, E.A. Kogevinas, M. Krogh, V. Kupcinskas, J. Kurtz, R.C. Landi, M.T. Landi, S. Marchand, L.L. Mambrini, A. Mannisto, S. Milne, R.L. Neale, R.E. Oberg, A.L. Panico, S. Patel, A.V. Peeters, P.H.M. Peters, U. Pezzilli, R. Porta, M. Purdue, M. Ramón Quiros, J. Riboli, E. Rothman, N. Scarpa, A. Scelo, G. Shu, X.-O. Silverman, D.T. Soucek, P. Strobel, O. Sund, M. Malecka-Panas, E. Taylor, P.R. Tavano, F. Travis, R.C. Thornquist, M. Tjønneland, A. Tobias, G.S. Trichopoulos, D. Vashist, Y. Vodicka, P. Wactawski-Wende, J. Wentzensen, N. Yu, H. Yu, K. Zeleniuch-Jacquotte, A. Kooperberg, C. Risch, H.A. Jacobs, E.J. Li, D. Fuchs, C. Hoover, R. Hartge, P. Chanock, S.J. Petersen, G.M. Stolzenberg-Solomon, R.S. Wolpin, B.M. Kraft, P. Klein, A.P. Canzian, F. Amundadottir, L.T.
- Abstract
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10-15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10-9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10-8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L-TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10-8). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10-4-2.0x10-3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
- Published
- 2016
10. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
- Author
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Zhang, M, Wang, Z, Obazee, O, Jia, J, Childs, EJ, Hoskins, J, Figlioli, G, Mocci, E, Collins, I, Chung, CC, Hautman, C, Arslan, AA, Beane-Freeman, L, Bracci, PM, Buring, J, Duell, EJ, Gallinger, S, Giles, GG, Goodman, GE, Goodman, PJ, Kamineni, A, Kolonel, LN, Kulke, MH, Malats, N, Olson, SH, Sesso, HD, Visvanathan, K, White, E, Zheng, W, Abnet, CC, Albanes, D, Andreotti, G, Brais, L, Bueno-de-Mesquita, HB, Basso, D, Berndt, SI, Boutron-Ruault, M-C, Bijlsma, MF, Brenner, H, Burdette, L, Campa, D, Caporaso, NE, Capurso, G, Cavestro, GM, Cotterchio, M, Costello, E, Elena, J, Boggi, U, Gaziano, JM, Gazouli, M, Giovannucci, EL, Goggins, M, Gross, M, Haiman, CA, Hassan, M, Helzlsouer, KJ, Hu, N, Hunter, DJ, Iskierka-Jazdzewska, E, Jenab, M, Kaaks, R, Key, TJ, Khaw, K-T, Klein, EA, Kogevinas, M, Krogh, V, Kupcinskas, J, Kurtz, RC, Landi, MT, Landi, S, Le Marchand, L, Mambrini, A, Mannisto, S, Milne, RL, Neale, RE, Oberg, AL, Panico, S, Patel, AV, Peeters, PHM, Peters, U, Pezzilli, R, Porta, M, Purdue, M, Ramon Quiros, J, Riboli, E, Rothman, N, Scarpa, A, Scelo, G, Shu, X-O, Silverman, DT, Soucek, P, Strobel, O, Sund, M, Malecka-Panas, E, Taylor, PR, Tavano, F, Travis, RC, Thornquist, M, Tjonneland, A, Tobias, GS, Trichopoulos, D, Vashist, Y, Vodicka, P, Wactawski-Wende, J, Wentzensen, N, Yu, H, Yu, K, Zeleniuch-Jacquotte, A, Kooperberg, C, Risch, HA, Jacobs, EJ, Li, D, Fuchs, C, Hoover, R, Hartge, P, Chanock, SJ, Petersen, GM, Stolzenberg-Solomon, RS, Wolpin, BM, Kraft, P, Klein, AP, Canzian, F, Amundadottir, LT, Zhang, M, Wang, Z, Obazee, O, Jia, J, Childs, EJ, Hoskins, J, Figlioli, G, Mocci, E, Collins, I, Chung, CC, Hautman, C, Arslan, AA, Beane-Freeman, L, Bracci, PM, Buring, J, Duell, EJ, Gallinger, S, Giles, GG, Goodman, GE, Goodman, PJ, Kamineni, A, Kolonel, LN, Kulke, MH, Malats, N, Olson, SH, Sesso, HD, Visvanathan, K, White, E, Zheng, W, Abnet, CC, Albanes, D, Andreotti, G, Brais, L, Bueno-de-Mesquita, HB, Basso, D, Berndt, SI, Boutron-Ruault, M-C, Bijlsma, MF, Brenner, H, Burdette, L, Campa, D, Caporaso, NE, Capurso, G, Cavestro, GM, Cotterchio, M, Costello, E, Elena, J, Boggi, U, Gaziano, JM, Gazouli, M, Giovannucci, EL, Goggins, M, Gross, M, Haiman, CA, Hassan, M, Helzlsouer, KJ, Hu, N, Hunter, DJ, Iskierka-Jazdzewska, E, Jenab, M, Kaaks, R, Key, TJ, Khaw, K-T, Klein, EA, Kogevinas, M, Krogh, V, Kupcinskas, J, Kurtz, RC, Landi, MT, Landi, S, Le Marchand, L, Mambrini, A, Mannisto, S, Milne, RL, Neale, RE, Oberg, AL, Panico, S, Patel, AV, Peeters, PHM, Peters, U, Pezzilli, R, Porta, M, Purdue, M, Ramon Quiros, J, Riboli, E, Rothman, N, Scarpa, A, Scelo, G, Shu, X-O, Silverman, DT, Soucek, P, Strobel, O, Sund, M, Malecka-Panas, E, Taylor, PR, Tavano, F, Travis, RC, Thornquist, M, Tjonneland, A, Tobias, GS, Trichopoulos, D, Vashist, Y, Vodicka, P, Wactawski-Wende, J, Wentzensen, N, Yu, H, Yu, K, Zeleniuch-Jacquotte, A, Kooperberg, C, Risch, HA, Jacobs, EJ, Li, D, Fuchs, C, Hoover, R, Hartge, P, Chanock, SJ, Petersen, GM, Stolzenberg-Solomon, RS, Wolpin, BM, Kraft, P, Klein, AP, Canzian, F, and Amundadottir, LT
- Abstract
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10 -15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10 -9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10 -8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 ( NR5A2), chr8q24.21 ( MYC) and chr5p15.33 ( CLPTM1L- TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal ( n = 10) and tumor ( n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10 -8). This finding was validated in a second set of paired ( n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10 -4-2.0x10 -3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
- Published
- 2016
11. Direct Urine Resistance Detection Using VITEK 2
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Eva Torres-Sangiao, Brais Lamas Rodriguez, María Cea Pájaro, Raquel Carracedo Montero, Noelia Parajó Pazos, and Carlos García-Riestra
- Subjects
resistance ,urinary tract infections ,Escherichia coli ,carbapenemases ,MALDI-TOF MS ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Urinary tract infections (UTIs) are the most common infectious diseases in both communities and hospitals. With non-anatomical or functional abnormalities, UTIs are usually self-limiting, though women suffer more reinfections throughout their lives. Certainly, antibiotic treatment leads to a more rapid resolution of symptoms, but also it selects resistant uropathogens and adversely affects the gut and vaginal microbiota. As uropathogens are increasingly becoming resistant to currently available antibiotics, it could be time to explore alternative strategies for managing UTIs. Rapid identification and antimicrobial susceptibility testing (AST) allow fast and precise treatment. The objective of this study was to shorten the time of diagnosis of UTIs by combining pathogen screening through flow cytometry, microbial identification by matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS), and the VITEK 2 system for the direct analysis of urine samples. First, we selected positive urine samples by flow cytometry using UF5000, establishing the cut-off for positive at 150 bacteria/mL. After confirming the identification using MALDI-TOF MS and filtering the urine samples for Escherichia coli, we directly tested the AST N388 card using VITEK 2. We tested a total of 211 E. coli from urine samples. Cefoxitin, ertapenem, imipenem, gentamicin, nalidixic acid, ciprofloxacin, fosfomycin, and nitrofurantoin had no major important errors (MIE), and ampicillin, cefuroxime, and tobramycin showed higher MIEs. Cefepime, imipenem, and tobramycin had no major errors (ME). Fosfomycin was the antibiotic with the most MEs. The antibiotic with the most minor errors (mE) was ceftazidime. The total categorical agreement (CA) was 97.4% with a 95% CI of (96.8–97.9)95%. The direct AST from the urine samples proposed here was shorter by one day, without significant loss of sensibility regarding the standard diagnosis. Therefore, we hypothesize that this method is more realistic and better suited to human antibiotic concentrations.
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- 2022
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12. Mucosal and systemic antiviral antibodies in mice inoculated intravaginally with herpes simplex virus type 2
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McDermott, M. R., primary, Brais, L. J., additional, and Evelegh, M. J., additional
- Published
- 1990
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13. T Lymphocytes in Genital Lymph Nodes Protect Mice from Intravaginal Infection with Herpes Simplex Virus Type 2
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McDermott, M. R., primary, Goldsmith, C. H., additional, Rosenthal, K. L., additional, and Brais, L. J., additional
- Published
- 1989
- Full Text
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14. Survival and time off chemotherapy after locoregional therapy for patients with metastatic pancreatic adenocarcinoma.
- Author
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Narayan, R., Yuan, C., Tewari, A., Brais, L., Levesque, V., Fairweather, M., Wee, J., Cleary, J., Schlechter, B., Perez, K., Shyn, P., Gottumukkala, R., Clancy, T., Wolpin, B., Aguirre, A., and Singh, H.
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- 2024
- Full Text
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15. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
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Anne Tjønneland, Jason W. Hoskins, Kala Visvanathan, Yogesh K. Vashist, Dimitrios Trichopoulos, Matthew H. Kulke, Ruth C. Travis, Charles S. Fuchs, Herbert Yu, Kai Yu, Phyllis J. Goodman, Michael Goggins, Jean Wactawski-Wende, Laurie Burdette, Joanne W. Elena, Andrea Mambrini, Petra H.M. Peeters, H. Bas Bueno-de-Mesquita, Maria Teresa Landi, Ulrike Peters, Mingfeng Zhang, Laurence N. Kolonel, Hermann Brenner, Elżbieta Iskierka-Jażdżewska, Robert C. Kurtz, Stephen J. Chanock, Marie-Christine Boutron-Ruault, Ann L. Oberg, Elio Riboli, Maarten F. Bijlsma, Eric J. Jacobs, Manolis Kogevinas, Evelina Mocci, Steven Gallinger, Jinping Jia, Mark P. Purdue, Raffaele Pezzilli, Harvey A. Risch, Demetrius Albanes, Irene Collins, Maria Gazouli, Michelle Cotterchio, Oliver Strobel, Erica J. Childs, Charles C. Chung, Geoffrey S. Tobias, J. Ramón Quirós, Núria Malats, Robert N. Hoover, Pavel Vodicka, Brian M. Wolpin, Ugo Boggi, Patricia Hartge, Gloria M. Petersen, Peter Kraft, Christopher Hautman, Gary E. Goodman, Manal Hassan, Donghui Li, Howard D. Sesso, Malin Sund, Julie E. Buring, Loic Le Marchand, Wei Zheng, Xiao-Ou Shu, Ewa Małecka-Panas, Pavel Soucek, Salvatore Panico, Nicolas Wentzensen, Graham G. Giles, Alpa V. Patel, Daniele Campa, Myron D. Gross, Ghislaine Scelo, J. Michael Gaziano, Juozas Kupcinskas, Debra T. Silverman, Laufey T. Amundadottir, Rachael S. Stolzenberg-Solomon, Neil E. Caporaso, Mazda Jenab, Sara H. Olson, Stefano Landi, Giulia Martina Cavestro, Aruna Kamineni, Laura Beane-Freeman, Roger L. Milne, Rachel E. Neale, Aldo Scarpa, Kathy J. Helzlsouer, Miquel Porta, Emily White, Eric J. Duell, Paige M. Bracci, Nan Hu, Federico Canzian, Eric A. Klein, Gabriele Capurso, Anne Zeleniuch-Jacquotte, Eithne Costello, David J. Hunter, Rudolf Kaaks, Sonja I. Berndt, Kay-Tee Khaw, Nathaniel Rothman, Christian C. Abnet, Francesca Tavano, Christopher A. Haiman, Zhaoming Wang, Ofure Obazee, Alan A. Arslan, Edward Giovannucci, Alison P. Klein, Daniela Basso, Charles Kooperberg, Philip R. Taylor, Satu Männistö, Timothy J. Key, Mark D. Thornquist, Gabriella Andreotti, Lauren K. Brais, Gisella Figlioli, Vittorio Krogh, University Medical Center Utrecht, Imperial College Trust, Cancer Research UK, Medical Research Council UK (MRC), National Institute for Health Research (NIHR), Cancer Research UK (Reino Unido), Medical Research Council (Reino Unido), National Institute for Health Research (Reino Unido), Zhang, Mingfeng, Wang, Zhaoming, Obazee, Ofure, Jia, Jinping, Childs, Erica J, Hoskins, Jason, Figlioli, Gisella, Mocci, Evelina, Collins, Irene, Chung, Charles C, Hautman, Christopher, Arslan, Alan A, Beane Freeman, Laura, Bracci, Paige M, Buring, Julie, Duell, Eric J, Gallinger, Steven, Giles, Graham G, Goodman, Gary E, Goodman, Phyllis J, Kamineni, Aruna, Kolonel, Laurence N, Kulke, Matthew H, Malats, Núria, Olson, Sara H, Sesso, Howard D, Visvanathan, Kala, White, Emily, Zheng, Wei, Abnet, Christian C, Albanes, Demetriu, Andreotti, Gabriella, Brais, Lauren, Bueno de Mesquita, H. Ba, Basso, Daniela, Berndt, Sonja I, Boutron Ruault, Marie Christine, Bijlsma, Maarten F, Brenner, Hermann, Burdette, Laurie, Campa, Daniele, Caporaso, Neil E, Capurso, Gabriele, Cavestro, Giulia Martina, Cotterchio, Michelle, Costello, Eithne, Elena, Joanne, Boggi, Ugo, Gaziano, J. Michael, Gazouli, Maria, Giovannucci, Edward L, Goggins, Michael, Gross, Myron, Haiman, Christopher A, Hassan, Manal, Helzlsouer, Kathy J, Hu, Nan, Hunter, David J, Iskierka Jazdzewska, Elzbieta, Jenab, Mazda, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay Tee, Klein, Eric A, Kogevinas, Manoli, Krogh, Vittorio, Kupcinskas, Juoza, Kurtz, Robert C, Landi, Maria T, Landi, Stefano, Le Marchand, Loic, Mambrini, Andrea, Mannisto, Satu, Milne, Roger L, Neale, Rachel E, Oberg, Ann L, Panico, Salvatore, Patel, Alpa V, Peeters, Petra H. M, Peters, Ulrike, Pezzilli, Raffaele, Porta, Miquel, Purdue, Mark, Quiros, J. Ramón, Riboli, Elio, Rothman, Nathaniel, Scarpa, Aldo, Scelo, Ghislaine, Shu, Xiao Ou, Silverman, Debra T, Soucek, Pavel, Strobel, Oliver, Sund, Malin, Małecka Panas, Ewa, Taylor, Philip R, Tavano, Francesca, Travis, Ruth C, Thornquist, Mark, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrio, Vashist, Yogesh, Vodicka, Pavel, Wactawski Wende, Jean, Wentzensen, Nicola, Yu, Herbert, Yu, Kai, Zeleniuch Jacquotte, Anne, Kooperberg, Charle, Risch, Harvey A, Jacobs, Eric J, Li, Donghui, Fuchs, Charle, Hoover, Robert, Hartge, Patricia, Chanock, Stephen J, Petersen, Gloria M, Stolzenberg Solomon, Rachael S, Wolpin, Brian M, Kraft, Peter, Klein, Alison P, Canzian, Federico, Amundadottir, Laufey T., Khaw, Kay-Tee [0000-0002-8802-2903], Apollo - University of Cambridge Repository, CCA -Cancer Center Amsterdam, Center of Experimental and Molecular Medicine, Radiotherapy, Zhang, M, Wang, Z, Obazee, O, Jia, J, Childs, Ej, Hoskins, J, Figlioli, G, Mocci, E, Collins, I, Chung, Cc, Hautman, C, Arslan, Aa, Beane Freeman, L, Bracci, Pm, Buring, J, Duell, Ej, Gallinger, S, Giles, Gg, Goodman, Ge, Goodman, Pj, Kamineni, A, Kolonel, Ln, Kulke, Mh, Malats, N, Olson, Sh, Sesso, Hd, Visvanathan, K, White, E, Zheng, W, Abnet, Cc, Albanes, D, Andreotti, G, Brais, L, Bueno de Mesquita, Hb, Basso, D, Berndt, Si, Boutron Ruault, Mc, Bijlsma, Mf, Brenner, H, Burdette, L, Campa, D, Caporaso, Ne, Capurso, G, Cavestro, GIULIA MARTINA, Cotterchio, M, Costello, E, Elena, J, Boggi, U, Gaziano, Jm, Gazouli, M, Giovannucci, El, Goggins, M, Gross, M, Haiman, Ca, Hassan, M, Helzlsouer, Kj, Hu, N, Hunter, Dj, Iskierka Jazdzewska, E, Jenab, M, Kaaks, R, Key, Tj, Khaw, Kt, Klein, Ea, Kogevinas, M, Krogh, V, Kupcinskas, J, Kurtz, Rc, Landi, Mt, Landi, S, Le Marchand, L, Mambrini, A, Mannisto, S, Milne, Rl, Neale, Re, Oberg, Al, Panico, S, Patel, Av, Peeters, Ph, Peters, U, Pezzilli, R, Porta, M, Purdue, M, Quiros, Jr, Riboli, E, Rothman, N, Scarpa, A, Scelo, G, Shu, Xo, Silverman, Dt, Soucek, P, Strobel, O, Sund, M, Małecka Panas, E, Taylor, Pr, Tavano, F, Travis, Rc, Thornquist, M, Tjønneland, A, Tobias, G, Trichopoulos, D, Vashist, Y, Vodicka, P, Wactawski Wende, J, Wentzensen, N, Yu, H, Yu, K, Zeleniuch Jacquotte, A, Kooperberg, C, Risch, Ha, Jacobs, Ej, Li, D, Fuchs, C, Hoover, R, Hartge, P, Chanock, Sj, Petersen, Gm, Stolzenberg Solomon, R, Wolpin, Bm, Kraft, P, Klein, Ap, Canzian, F, and Amundadottir, L. T.
- Subjects
0301 basic medicine ,Candidate gene ,Pancreatic disease ,GENETIC SUSCEPTIBILITY ,pancreatic cancer ,Datasets as Topic ,Genome-wide association study ,imputation ,TRET ,0302 clinical medicine ,Fine-mapping ,GWAS ,Imputation ,NR5A2 ,Pancreatic cancer ,Oncology ,Genotype ,Genetics ,3. Good health ,fine-mapping ,Chromosomes, Human, Pair 1 ,030220 oncology & carcinogenesis ,Chromosomes, Human, Pair 5 ,Chromosomes, Human, Pair 8 ,616.37-006.6 [udc] ,BLADDER-CANCER ,Single-nucleotide polymorphism ,GENOTYPE IMPUTATION ,BREAST ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Journal Article ,medicine ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Pàncrees -- Càncer ,Cancer och onkologi ,LONG-RANGE INTERACTION ,business.industry ,medicine.disease ,Pancreatic neoplasms ,genetics ,Polymorphism, single nucleotide ,RISK LOCI ,Fold change ,COMMON VARIANT ,Cromosomes ,Pancreatic Neoplasms ,030104 developmental biology ,Cancer and Oncology ,business ,Imputation (genetics) ,LRH-1 ,Priority Research Paper ,Genome-Wide Association Study - Abstract
Altres ajuts: The authors acknowledge the contribution of the staff of the Cancer Genomics Research Laboratory (CGR) at the National Cancer Institute, NIH, for their help throughout the project. This work was supported by the Intramural Research Program of the US National Institutes of Health (NIH), National Cancer Institute. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. Additional acknowledgements for individual participating studies are listed in the Supplemental Materials. Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88×10 −15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22×10 −9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70×10 −8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L - TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7×10 −8). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5×10 −4 -2.0×10 −3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
- Published
- 2016
16. Experience and Needs of Patients With Young-Onset Colorectal Cancer and Their Caregivers: A Qualitative Study.
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Fletcher KM, Revette A, Enzinger A, Biller L, MacDougall K, Brown MB, Brais L, Arsenault B, McCleary N, Chan J, Boyle K, Meyerhardt JA, and Ng K
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Focus Groups, Age of Onset, Caregivers psychology, Colorectal Neoplasms psychology, Colorectal Neoplasms therapy, Qualitative Research
- Abstract
Purpose: The incidence of young-onset colorectal cancer (YOCRC; defined as patients who are diagnosed with CRC before age 50 years) is rising rapidly, and CRC is predicted to be the leading cause of cancer death in this age group by 2030. Yet, there has been limited research into the experiences and needs of patients with YOCRC and their caregivers. The goal of this study was to better understand the experiences and needs of patients with YOCRC and their caregivers., Patients and Methods: Semistructured focus groups were conducted with patients with YOCRC, caregivers of patients with YOCRC, and bereaved caregivers of patients with YOCRC. Focus group discussion guides addressed the experience and impact of diagnosis and treatment of YOCRC. Results were analyzed using a thematic analysis informed by framework analysis., Results: Twenty patients and caregivers participated in three focus groups (eight patients, seven caregivers, and five bereaved caregivers). Four primary themes were identified: (1) feeling overwhelmed by the health care system and desiring patient navigation; (2) feeling isolated and wanting opportunities for peer support; (3) life disruption because of difficulty juggling multiple roles and desiring psychosocial support; and (4) enthusiasm about participation in research and genetic testing., Conclusion: This study identified and described the unique experiences and care needs of patients with YOCRC and their caregivers. The findings provide evidence that specialized models of care are needed. The results of this study informed the development of a center dedicated to the care of patients with YOCRC.
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- 2024
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17. RAS/RAF Comutation and ERBB2 Copy Number Modulates HER2 Heterogeneity and Responsiveness to HER2-directed Therapy in Colorectal Cancer.
- Author
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Singh H, Sahgal P, Kapner K, Corsello SM, Gupta H, Gujrathi R, Li YY, Cherniack AD, El Alam R, Kerfoot J, Andrews E, Lee A, Nambiar C, Hannigan AM, Remland J, Brais L, Leahy ME, Rubinson DA, Schlechter BL, Meyerson M, Kuang Y, Paweletz CP, Lee JK, Quintanilha JCF, Aguirre AJ, Perez KJ, Huffman BM, Rossi H, Abrams TA, Kabraji S, Trusolino L, Bertotti A, Sicinska ET, Parikh AR, Wolpin BM, Schrock AB, Giannakis M, Ng K, Meyerhardt JA, Hornick JL, Sethi NS, and Cleary JM
- Subjects
- Humans, Animals, Mice, Gene Amplification, Receptor, ErbB-2 metabolism, Trastuzumab pharmacology, Trastuzumab therapeutic use, Treatment Outcome, Mutation, DNA Copy Number Variations, Colorectal Neoplasms drug therapy, Colorectal Neoplasms genetics, Colorectal Neoplasms metabolism
- Abstract
Purpose: ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments. Implications of concurrent oncogenic RAS/RAF alterations are not known., Experimental Design: Dana-Farber and Foundation Medicine Inc. Colorectal cancer cohorts with genomic profiling were used to identify ERBB2-amplified cases [Dana-Farber, n = 47/2,729 (1.7%); FMI, n = 1857/49,839 (3.7%)]. Outcomes of patients receiving HER2-directed therapies are reported (Dana-Farber, n = 9; Flatiron Health-Foundation Medicine clinicogenomic database, FH-FMI CGDB, n = 38). Multisite HER2 IHC and genomic profiling were performed to understand HER2 intratumoral and interlesional heterogeneity. The impact of concurrent RAS comutations on the effectiveness of HER2-directed therapies were studied in isogenic colorectal cancer cell lines and xenografts., Results: ERBB2 amplifications are enriched in left-sided colorectal cancer. Twenty percent of ERBB2-amplified colorectal cancers have co-occurring oncogenic RAS/RAF alterations. While RAS/RAF WT colorectal cancers typically have clonal ERBB2 amplification, colorectal cancers with co-occurring RAS/RAF alterations have lower level ERRB2 amplification, higher intratumoral heterogeneity, and interlesional ERBB2 discordance. These distinct genomic patterns lead to differential responsiveness and patterns of resistance to HER2-directed therapy. ERBB2-amplified colorectal cancer with RAS/RAF alterations are resistant to trastuzumab-based combinations, such as trastuzumab/tucatinib, but retain sensitivity to trastuzumab deruxtecan in in vitro and murine models. Trastuzumab deruxtecan shows clinical efficacy in cases with high-level ERBB2-amplified RAS/RAF coaltered colorectal cancer., Conclusions: Co-occurring RAS/RAF alterations define a unique subtype of ERBB2-amplified colorectal cancer that has increased intratumoral heterogeneity, interlesional discordance, and resistance to trastuzumab-based combinations. Further examination of trastuzumab deruxtecan in this previously understudied cohort of ERBB2-amplified colorectal cancer is warranted., (©2024 American Association for Cancer Research.)
- Published
- 2024
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18. Intertumoral lineage diversity and immunosuppressive transcriptional programs in well-differentiated gastroenteropancreatic neuroendocrine tumors.
- Author
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Hoffman SE, Dowrey TW, Villacorta Martin C, Bi K, Titchen B, Johri S, DelloStritto L, Patel M, Mackichan C, Inga S, Chen J, Grimaldi G, Napolitano S, Wakiro I, Wu J, Yeung J, Rotem A, Sicinska E, Shannon E, Clancy T, Wang J, Denning S, Brais L, Besson NR, Pfaff KL, Huang Y, Kao KZ, Rodig S, Hornick JL, Vigneau S, Park J, Kulke MH, Chan J, Van Allen EM, and Murphy GJ
- Subjects
- Humans, Tumor Microenvironment genetics, Neuroendocrine Tumors genetics, Intestinal Neoplasms genetics, Stomach Neoplasms genetics, Pancreatic Neoplasms genetics
- Abstract
Neuroendocrine tumors (NETs) are rare cancers that most often arise in the gastrointestinal tract and pancreas. The fundamental mechanisms driving gastroenteropancreatic (GEP)-NET growth remain incompletely elucidated; however, the heterogeneous clinical behavior of GEP-NETs suggests that both cellular lineage dynamics and tumor microenvironment influence tumor pathophysiology. Here, we investigated the single-cell transcriptomes of tumor and immune cells from patients with gastroenteropancreatic NETs. Malignant GEP-NET cells expressed genes and regulons associated with normal, gastrointestinal endocrine cell differentiation, and fate determination stages. Tumor and lymphoid compartments sparsely expressed immunosuppressive targets commonly investigated in clinical trials, such as the programmed cell death protein-1/programmed death ligand-1 axis. However, infiltrating myeloid cell types within both primary and metastatic GEP-NETs were enriched for genes encoding other immune checkpoints, including VSIR (VISTA), HAVCR2 (TIM3), LGALS9 (Gal-9), and SIGLEC10 . Our findings highlight the transcriptomic heterogeneity that distinguishes the cellular landscapes of GEP-NET anatomic subtypes and reveal potential avenues for future precision medicine therapeutics.
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- 2023
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19. A blood-based metabolomic signature predictive of risk for pancreatic cancer.
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Irajizad E, Kenney A, Tang T, Vykoukal J, Wu R, Murage E, Dennison JB, Sans M, Long JP, Loftus M, Chabot JA, Kluger MD, Kastrinos F, Brais L, Babic A, Jajoo K, Lee LS, Clancy TE, Ng K, Bullock A, Genkinger JM, Maitra A, Do KA, Yu B, Wolpin BM, Hanash S, and Fahrmann JF
- Subjects
- Male, Humans, Pancreas, Metabolomics, CA-19-9 Antigen, Pancreatic Neoplasms diagnosis
- Abstract
Emerging evidence implicates microbiome involvement in the development of pancreatic cancer (PaCa). Here, we investigate whether increases in circulating microbial-related metabolites associate with PaCa risk by applying metabolomics profiling to 172 sera collected within 5 years prior to PaCa diagnosis and 863 matched non-subject sera from participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) cohort. We develop a three-marker microbial-related metabolite panel to assess 5-year risk of PaCa. The addition of five non-microbial metabolites further improves 5-year risk prediction of PaCa. The combined metabolite panel complements CA19-9, and individuals with a combined metabolite panel + CA19-9 score in the top 2.5th percentile have absolute 5-year risk estimates of >13%. The risk prediction model based on circulating microbial and non-microbial metabolites provides a potential tool to identify individuals at high risk of PaCa that would benefit from surveillance and/or from potential cancer interception strategies., Competing Interests: Declaration of interests An invention disclosure report related to findings reported herein has been submitted to the University of Texas. B.M.W. receives research funding from Celgene and Eli Lilly and does consulting for BioLineRx, Celgene, and GRAIL., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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20. Phase Ib and Expansion Study of Gemcitabine, Nab-Paclitaxel, and Ficlatuzumab in Patients With Metastatic Pancreatic Cancer.
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Perez K, Chiarella AM, Cleary JM, Horick N, Weekes C, Abrams T, Blaszkowsky L, Enzinger P, Giannakis M, Goyal L, Meyerhardt JA, Rubinson D, Yurgelun MB, Goessling W, Giantonio BJ, Brais L, Germon V, Stonely D, Raghavan S, Bakir B, Das K, Pitarresi JR, Aguirre AJ, Needle M, Rustgi AK, and Wolpin BM
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- Humans, Male, Female, Aged, Gemcitabine, Albumin-Bound Paclitaxel, Paclitaxel adverse effects, Albumins adverse effects, Edema etiology, Antineoplastic Combined Chemotherapy Protocols adverse effects, Hypoalbuminemia chemically induced, Pancreatic Neoplasms pathology
- Abstract
Background: In preclinical pancreatic ductal adenocarcinoma (PDAC) models, inhibition of hepatocyte growth factor (HGF) signaling using ficlatuzumab, a recombinant humanized anti-HGF antibody, and gemcitabine reduced tumor burden., Methods: Patients with previously untreated metastatic PDAC enrolled in a phase Ib dose escalation study with 3 + 3 design of 2 dose cohorts of ficlatuzumab 10 and 20 mg/kg administered intravenously every other week with gemcitabine 1000 mg/m2 and albumin-bound paclitaxel 125 mg/m2 given 3 weeks on and 1 week off. This was followed by an expansion phase at the maximally tolerated dose of the combination., Results: Twenty-six patients (sex, 12 male:14 female; median age, 68 years [range, 49-83 years]) were enrolled, 22 patients were evaluable. No dose-limiting toxicities were identified (N = 7 pts) and ficlatuzumab at 20 mg/kg was chosen as the maximum tolerated dose. Among the 21 patients treated at the MTD, best response by RECISTv1.1: 6 (29%) partial response, 12 (57%) stable disease, 1 (5%) progressive disease, and 2 (9%) not evaluable. Median progression-free survival and overall survival times were 11.0 months (95% CI, 7.6-11.4 months) and 16.2 months (95% CI, 9.1 months to not reached), respectively. Toxicities attributed to ficlatuzumab included hypoalbuminemia (grade 3, 16%; any grade, 52%) and edema (grade 3, 8%; any grade, 48%). Immunohistochemistry for c-Met pathway activation demonstrated higher tumor cell p-Met levels in patients who experienced response to therapy., Conclusion: In this phase Ib trial, ficlatuzumab, gemcitabine, and albumin-bound paclitaxel were associated with durable treatment responses and increased rates of hypoalbuminemia and edema., (© The Author(s) 2023. Published by Oxford University Press.)
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- 2023
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21. A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.
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Placido D, Yuan B, Hjaltelin JX, Zheng C, Haue AD, Chmura PJ, Yuan C, Kim J, Umeton R, Antell G, Chowdhury A, Franz A, Brais L, Andrews E, Marks DS, Regev A, Ayandeh S, Brophy MT, Do NV, Kraft P, Wolpin BM, Rosenthal MH, Fillmore NR, Brunak S, and Sander C
- Subjects
- Humans, Middle Aged, Artificial Intelligence, Quality of Life, Algorithms, Deep Learning, Pancreatic Neoplasms diagnosis, Pancreatic Neoplasms epidemiology
- Abstract
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we applied artificial intelligence methods to clinical data from 6 million patients (24,000 pancreatic cancer cases) in Denmark (Danish National Patient Registry (DNPR)) and from 3 million patients (3,900 cases) in the United States (US Veterans Affairs (US-VA)). We trained machine learning models on the sequence of disease codes in clinical histories and tested prediction of cancer occurrence within incremental time windows (CancerRiskNet). For cancer occurrence within 36 months, the performance of the best DNPR model has area under the receiver operating characteristic (AUROC) curve = 0.88 and decreases to AUROC (3m) = 0.83 when disease events within 3 months before cancer diagnosis are excluded from training, with an estimated relative risk of 59 for 1,000 highest-risk patients older than age 50 years. Cross-application of the Danish model to US-VA data had lower performance (AUROC = 0.71), and retraining was needed to improve performance (AUROC = 0.78, AUROC (3m) = 0.76). These results improve the ability to design realistic surveillance programs for patients at elevated risk, potentially benefiting lifespan and quality of life by early detection of this aggressive cancer., (© 2023. The Author(s).)
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- 2023
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22. Neoadjuvant Chemotherapy Is Associated with Altered Immune Cell Infiltration and an Anti-Tumorigenic Microenvironment in Resected Pancreatic Cancer.
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Dias Costa A, Väyrynen SA, Chawla A, Zhang J, Väyrynen JP, Lau MC, Williams HL, Yuan C, Morales-Oyarvide V, Elganainy D, Singh H, Cleary JM, Perez K, Ng K, Freed-Pastor W, Mancias JD, Dougan SK, Wang J, Rubinson DA, Dunne RF, Kozak MM, Brais L, Reilly E, Clancy T, Linehan DC, Chang DT, Hezel AF, Koong AC, Aguirre AJ, Wolpin BM, and Nowak JA
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- Humans, Neoadjuvant Therapy methods, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Tumor Microenvironment, Pancreatic Neoplasms pathology, Carcinoma, Pancreatic Ductal pathology, Adenocarcinoma pathology
- Abstract
Purpose: Neoadjuvant chemotherapy is increasingly administered to patients with resectable or borderline resectable pancreatic ductal adenocarcinoma (PDAC), yet its impact on the tumor immune microenvironment is incompletely understood., Design: We employed quantitative, spatially resolved multiplex immunofluorescence and digital image analysis to identify T-cell subpopulations, macrophage polarization states, and myeloid cell subpopulations in a multi-institution cohort of up-front resected primary tumors (n = 299) and in a comparative set of resected tumors after FOLFIRINOX-based neoadjuvant therapy (n = 36) or up-front surgery (n = 30). Multivariable-adjusted Cox proportional hazards models were used to evaluate associations between the immune microenvironment and patient outcomes., Results: In the multi-institutional resection cohort, immune cells exhibited substantial heterogeneity across patient tumors and were located predominantly in stromal regions. Unsupervised clustering using immune cell densities identified four main patterns of immune cell infiltration. One pattern, seen in 20% of tumors and characterized by abundant T cells (T cell-rich) and a paucity of immunosuppressive granulocytes and macrophages, was associated with improved patient survival. Neoadjuvant chemotherapy was associated with a higher CD8:CD4 ratio, greater M1:M2-polarized macrophage ratio, and reduced CD15+ARG1+ immunosuppressive granulocyte density. Within neoadjuvant-treated tumors, 72% showed a T cell-rich pattern with low immunosuppressive granulocytes and macrophages. M1-polarized macrophages were located closer to tumor cells after neoadjuvant chemotherapy, and colocalization of M1-polarized macrophages and tumor cells was associated with greater tumor pathologic response and improved patient survival., Conclusions: Neoadjuvant chemotherapy with FOLFIRINOX shifts the PDAC immune microenvironment toward an anti-tumorigenic state associated with improved patient survival., (©2022 American Association for Cancer Research.)
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- 2022
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23. Serological testing for SARS-CoV-2 antibodies of employees shows low transmission working in a cancer center.
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Meyerhardt JA, Yue H, Nowak RP, Brais L, Ma C, Johnson S, Harrod J, Burman SSR, Hendrickson LM, Fischinger S, Alter G, Hahn W, Johnson BE, and Fischer ES
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- Adolescent, Antibodies, Viral, COVID-19 Vaccines, Female, Humans, Immunoglobulin G, Pandemics prevention & control, SARS-CoV-2, Spike Glycoprotein, Coronavirus, COVID-19 diagnosis, COVID-19 epidemiology, Neoplasms epidemiology
- Abstract
Background: The COVID-19 pandemic led to emergency measures to continue patient care and research at a comprehensive cancer center while protecting both employees and patients. Determining exposure and infection rates with SARS-CoV-2 were important to adjust workplace policies over time., Methods: Dana-Farber Cancer Institute (DFCI) has over 7,000 employees. Participation was voluntary. After consent, participants completed questionnaire of demographics, exposures and risk factors for COVID-19 illness at each time point (baseline, 3, 6, and 12 months) along with blood draws for SARS-CoV-2 antibody testing. Primary measure was determination of titers of SARS-CoV-2 spike protein IgG over time., Results: In total, 745 employees enrolled from May 2020 to February 2021 (mean [SD] age, 40[14] years; 572[80%] women). From May to July 2020, 47 of 519 employees (9.2%, 95% confidence interval [CI] 6.7-12.0%) tested positive for SARS-CoV-2 spike protein IgG antibodies. Three months later, 40 of 428 employees had positive antibodies (8.5%, 95% CI 6.0-11.0%) with 17 newly positive. At month 6, 78.5% of participants reported having received at least one dose of vaccine and the positivity rate for those vaccinated was 98% (95% CI, 95-100%). Spike protein IgG titers for those vaccinated were 7.9 times higher than participants not vaccinated (median IgG titer = 0.28 for positive antibody but not vaccinated versus 2.2 for vaccinated) but demonstrate evidence of waning over time., Conclusions: SARS-CoV-2 antibody positivity remained less than 10% at a single comprehensive cancer center prior to vaccination and there is evidence of waning IgG titers over time after vaccination., Competing Interests: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr. Meyerhardt has received personal fees as an advisor/consultant to COTA Healthcare; served on a grant review panel for the National Comprehensive Cancer Network funded by Taiho Pharmaceutical; and institutional research funding from Boston Biomedical. Dr. Fischer received personal fees as a founder, scientific advisor and shareholder of Civetta Therapeutics, Jengu Therapeutics (board member) and Neomorph Inc; is a shareholder of C4 Therapeutics; has received personal fees as an advisor/consultant to EcoR1 capital, Avilar, Sanofi, Novartis; The Fischer lab receives or has received research funding from Novartis, Deerfield and Ajax. All other authors report no relevant conflicts of interest. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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- 2022
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24. Benefit of Primary Tumor Resection in Stage IV, Grade 1 and 2, Pancreatic Neuroendocrine Tumors: A Propensity-Score Matched Cohort Study.
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Kjaer J, Clancy TE, Thornell A, Andersson N, Hellman P, Crona J, Welin S, Sulciner M, Powell B, Brais L, Astone K, Baddoo W, Doherty G, Chan JA, Norlén O, and Stålberg P
- Abstract
Objective: To determine the association of primary tumor resection in stage IV pancreatic neuroendocrine tumors (Pan-NET) and survival in a propensity-score matched study., Background: Pan-NET are often diagnosed with stage IV disease. The oncologic benefit from primary tumor resection in this scenario is debated and previous studies show contradictory results., Methods: Patients from 3 tertiary referral centers from January 1, 1985, through December 31, 2019: Uppsala University Hospital (Uppsala, Sweden), Sahlgrenska University Hospital (Gothenburg, Sweden), and Brigham and Women's Hospital/Dana-Farber Cancer Institute (Boston, USA) were assessed for eligibility. Patients with sporadic, grade 1 and 2, stage IV pan-NET, with baseline 2000-2019 were divided between those undergoing primary tumor resection combined with oncologic treatment (surgery group [SG]), and those who received oncologic treatment without primary tumor resection (non-SG). A propensity-score matching was performed to account for the variability in the extent of metastatic disease and comorbidity. Primary outcome was overall survival., Results: Patients with stage IV Pan-NET (n = 733) were assessed for eligibility, 194 were included. Patients were divided into a SG (n = 65) and a non-SG (n = 129). Two isonumerical groups with 50 patients in each group remained after propensity-score matching. The 5-year survival was 65.4% (95% CI, 51.5-79.3) in the matched SG and 47.8% (95% CI, 30.6-65.0) in the matched non-SG (log-rank, P = 0.043)., Conclusions: Resection of the primary tumor in patients with stage IV Pan-NET and G1/G2 grade was associated with prolonged overall survival compared to nonoperative management. A surgically aggressive regime should be considered where resection is not contraindicated., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.)
- Published
- 2022
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25. Liquid biopsy reveals collateral tissue damage in cancer.
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Lubotzky A, Zemmour H, Neiman D, Gotkine M, Loyfer N, Piyanzin S, Ochana BL, Lehmann-Werman R, Cohen D, Moss J, Magenheim J, Loftus MF, Brais L, Ng K, Mostoslavsky R, Wolpin BM, Zick A, Maoz M, Grinshpun A, Kustanovich A, Makranz C, Cohen JE, Peretz T, Hubert A, Temper M, Salah A, Avniel-Polak S, Grozinsky-Glasberg S, Spalding KL, Rokach A, Kaplan T, Glaser B, Shemer R, and Dor Y
- Subjects
- Biomarkers, Tumor analysis, Biomarkers, Tumor blood, Early Detection of Cancer methods, Hepatocytes metabolism, Hepatocytes pathology, Humans, Brain Neoplasms genetics, Brain Neoplasms pathology, Brain Neoplasms secondary, Cell-Free Nucleic Acids analysis, Cell-Free Nucleic Acids blood, DNA Methylation, Liquid Biopsy methods, Liver Neoplasms genetics, Liver Neoplasms pathology, Liver Neoplasms secondary, Neoplasm Metastasis genetics, Neoplasm Metastasis pathology, Pancreatic Neoplasms complications, Pancreatic Neoplasms metabolism, Pancreatic Neoplasms pathology
- Abstract
Cancer inflicts damage to surrounding normal tissues, which can culminate in fatal organ failure. Here, we demonstrate that cell death in organs affected by cancer can be detected by tissue-specific methylation patterns of circulating cell-free DNA (cfDNA). We detected elevated levels of hepatocyte-derived cfDNA in the plasma of patients with liver metastases originating from different primary tumors, compared with cancer patients without liver metastases. In addition, patients with localized pancreatic or colon cancer showed elevated hepatocyte cfDNA, suggesting liver damage inflicted by micrometastatic disease, by primary pancreatic tumor pressing the bile duct, or by a systemic response to the primary tumor. We also identified elevated neuron-, oligodendrocyte-, and astrocyte-derived cfDNA in a subpopulation of patients with brain metastases compared with cancer patients without brain metastasis. Cell type-specific cfDNA methylation markers enabled the identification of collateral tissue damage in cancer, revealing the presence of metastases in specific locations and potentially assisting in early cancer detection.
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- 2022
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26. Clinical Implications of Pathogenic Germline Variants in Small Intestine Neuroendocrine Tumors (SI-NETs).
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Perez K, Kulke MH, Chittenden A, Ukaegbu C, Astone K, Alexander H, Brais L, Zhang J, Garcia J, Esplin ED, Yang S, Da Silva A, Nowak JA, Yurgelun MB, Garber J, Syngal S, and Chan J
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Germ Cells, Germ-Line Mutation, High-Throughput Nucleotide Sequencing, Humans, Male, Middle Aged, Young Adult, Intestinal Neoplasms genetics, Intestine, Small, Neuroendocrine Tumors genetics
- Abstract
Purpose: An inherited basis for presumed sporadic neuroendocrine tumor (NET) has been suggested by evidence of familial clustering of NET and a higher incidence of second malignancies in patients and families with NET. To further investigate a potential heritable basis for sporadic neuroendocrine tumors, we performed multigene platform germline analysis to determine the frequency of hereditary susceptibility gene variants in a cohort of patients with sporadic small intestine NET (SI-NET)., Methods: We performed a multigene platform germline analysis with Invitae's 83-gene, next-generation sequencing panel using DNA from 88 individuals with SI-NET from a clinically annotated database of patients with NET evaluated at Dana-Farber Cancer Institute (DFCI) who are considered high risk for inherited variants. Additionally, we evaluated the prevalence of pathogenic variants in an unselected cohort of patients with SI-NET who underwent testing with Invitae., Results: Of the 88 patients in the DFCI cohort, a pathogenic germline variant was identified in eight (9%) patients. In an independent cohort of 120 patients with SI-NET, a pathogenic germline variant was identified in 13 (11%) patients. Pathogenic variants were identified in more than one patient in the following genes: ATM , RAD51C , MUTYH , and BLM . Somatic testing of tumors from the DFCI cohort was suboptimal because of insufficient coverage of all targeted exons, and therefore, analysis was limited., Conclusion: We demonstrate a 9%-11% incidence of pathogenic germline variants in genes associated with inherited susceptibility for malignancy not previously described in association with SI-NET. The association of these germline variants with neuroendocrine carcinogenesis and risk is uncertain but warrants further characterization., Competing Interests: Kimberly PerezConsulting or Advisory Role: Celgene, Eisai Matthew H. KulkeResearch Funding: Bristol Myers Squibb, Tersera Anu ChittendenEmployment: ImmunogenConsulting or Advisory Role: Boston Pharmaceuticals John GarciaEmployment: InvitaeStock and Other Ownership Interests: InvitaeTravel, Accommodations, Expenses: Invitae Edward D. EsplinEmployment: InvitaeStock and Other Ownership Interests: Invitae Shan YangStock and Other Ownership Interests: InvitaeTravel, Accommodations, Expenses: Invitae Matthew B. YurgelunConsulting or Advisory Role: JanssenResearch Funding: Janssen OncologyOther Relationship: UpToDate Judy GarberConsulting or Advisory Role: Novartis, GTx, Helix BioPharma, Konica Minolta, Aleta BioTherapeutics, H3 Biomedicine, Kronos BioResearch Funding: Novartis, Ambry Genetics, Invitae, Myriad GeneticsOther Relationship: Susan G. Komen for the Cure, AACR, Diana Helis Henry Medical Foundation, James P. Wilmot Foundation, Adrienne Helis Malvin Medical Research Foundation, Breast Cancer Research Foundation, Facing Our Risk of Cancer Empowered Sapna SyngalConsulting or Advisory Role: Myriad Genetics, DC Health, GlaxoSmithKlinePatents, Royalties, Other Intellectual Property: Dana-Farber Cancer Institute has a registered service mark for the PREMM5 model and holds copyrights for the PREMM questionnaires, and Myriad Genetics (through Dana-Farber Cancer Institute) paid an inventor share of the IP (license issue fee)Travel, Accommodations, Expenses: Myriad Genetics Jennifer ChanStock and Other Ownership Interests: MerckHonoraria: Lexicon, Advanced Accelerator Applications, IpsenConsulting or Advisory Role: Advanced Accelerator Applications, Lexicon, Bayer, Crinetics Pharmaceuticals, PfizerResearch Funding: Sanofi, LillyNo other potential conflicts of interest were reported.
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- 2021
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27. Lead-Time Trajectory of CA19-9 as an Anchor Marker for Pancreatic Cancer Early Detection.
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Fahrmann JF, Schmidt CM, Mao X, Irajizad E, Loftus M, Zhang J, Patel N, Vykoukal J, Dennison JB, Long JP, Do KA, Zhang J, Chabot JA, Kluger MD, Kastrinos F, Brais L, Babic A, Jajoo K, Lee LS, Clancy TE, Ng K, Bullock A, Genkinger J, Yip-Schneider MT, Maitra A, Wolpin BM, and Hanash S
- Subjects
- Aged, Diagnosis, Differential, Feasibility Studies, Female, Healthy Volunteers, Humans, Liquid Biopsy methods, Male, Middle Aged, Pancreatic Cyst blood, Pancreatic Cyst diagnosis, Pancreatic Neoplasms blood, Pancreatitis, Chronic blood, Pancreatitis, Chronic diagnosis, Sensitivity and Specificity, United States, CA-19-9 Antigen blood, Early Detection of Cancer methods, Mass Screening methods, Pancreatic Neoplasms diagnosis
- Abstract
Background & Aims: There is substantial interest in liquid biopsy approaches for cancer early detection among subjects at risk, using multi-marker panels. CA19-9 is an established circulating biomarker for pancreatic cancer; however, its relevance for pancreatic cancer early detection or for monitoring subjects at risk has not been established., Methods: CA19-9 levels were assessed in blinded sera from 175 subjects collected up to 5 years before diagnosis of pancreatic cancer and from 875 matched controls from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. For comparison of performance, CA19-9 was assayed in blinded independent sets of samples collected at diagnosis from 129 subjects with resectable pancreatic cancer and 275 controls (100 healthy subjects; 50 with chronic pancreatitis; and 125 with noncancerous pancreatic cysts). The complementary value of 2 additional protein markers, TIMP1 and LRG1, was determined., Results: In the PLCO cohort, levels of CA19-9 increased exponentially starting at 2 years before diagnosis with sensitivities reaching 60% at 99% specificity within 0 to 6 months before diagnosis for all cases and 50% at 99% specificity for cases diagnosed with early-stage disease. Performance was comparable for distinguishing newly diagnosed cases with resectable pancreatic cancer from healthy controls (64% sensitivity at 99% specificity). Comparison of resectable pancreatic cancer cases to subjects with chronic pancreatitis yielded 46% sensitivity at 99% specificity and for subjects with noncancerous cysts, 30% sensitivity at 99% specificity. For prediagnostic cases below cutoff value for CA19-9, the combination with LRG1 and TIMP1 yielded an increment of 13.2% in sensitivity at 99% specificity (P = .031) in identifying cases diagnosed within 1 year of blood collection., Conclusion: CA19-9 can serve as an anchor marker for pancreatic cancer early detection applications., (Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved.)
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- 2021
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28. Composition, Spatial Characteristics, and Prognostic Significance of Myeloid Cell Infiltration in Pancreatic Cancer.
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Väyrynen SA, Zhang J, Yuan C, Väyrynen JP, Dias Costa A, Williams H, Morales-Oyarvide V, Lau MC, Rubinson DA, Dunne RF, Kozak MM, Wang W, Agostini-Vulaj D, Drage MG, Brais L, Reilly E, Rahma O, Clancy T, Wang J, Linehan DC, Aguirre AJ, Fuchs CS, Coussens LM, Chang DT, Koong AC, Hezel AF, Ogino S, Nowak JA, and Wolpin BM
- Subjects
- Aged, Carcinoma, Pancreatic Ductal mortality, Carcinoma, Pancreatic Ductal pathology, Carcinoma, Pancreatic Ductal surgery, Cohort Studies, Disease-Free Survival, Female, Humans, Male, Middle Aged, Neoplasm Recurrence, Local immunology, Neoplasm Recurrence, Local prevention & control, Pancreas immunology, Pancreas pathology, Pancreas surgery, Pancreatectomy, Pancreatic Neoplasms mortality, Pancreatic Neoplasms pathology, Pancreatic Neoplasms surgery, Prognosis, Retrospective Studies, Carcinoma, Pancreatic Ductal immunology, Myeloid Cells immunology, Neoplasm Recurrence, Local epidemiology, Pancreatic Neoplasms immunology, Tumor Microenvironment immunology
- Abstract
Purpose: Although abundant myeloid cell populations in the pancreatic ductal adenocarcinoma (PDAC) microenvironment have been postulated to suppress antitumor immunity, the composition of these populations, their spatial locations, and how they relate to patient outcomes are poorly understood., Experimental Design: To generate spatially resolved tumor and immune cell data at single-cell resolution, we developed two quantitative multiplex immunofluorescence assays to interrogate myeloid cells (CD15, CD14, ARG1, CD33, HLA-DR) and macrophages [CD68, CD163, CD86, IFN regulatory factor 5, MRC1 (CD206)] in the PDAC tumor microenvironment. Spatial point pattern analyses were conducted to assess the degree of colocalization between tumor cells and immune cells. Multivariable-adjusted Cox proportional hazards regression was used to assess associations with patient outcomes., Results: In a multi-institutional cohort of 305 primary PDAC resection specimens, myeloid cells were abundant, enriched within stromal regions, highly heterogeneous across tumors, and differed by somatic genotype. High densities of CD15
+ ARG1+ immunosuppressive granulocytic cells and M2-polarized macrophages were associated with worse patient survival. Moreover, beyond cell density, closer proximity of M2-polarized macrophages to tumor cells was strongly associated with disease-free survival, revealing the clinical significance and biologic importance of immune cell localization within tumor areas., Conclusions: A diverse set of myeloid cells are present within the PDAC tumor microenvironment and are distributed heterogeneously across patient tumors. Not only the densities but also the spatial locations of myeloid immune cells are associated with patient outcomes, highlighting the potential role of spatially resolved myeloid cell subtypes as quantitative biomarkers for PDAC prognosis and therapy., (©2020 American Association for Cancer Research.)- Published
- 2021
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29. A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer.
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Zhong J, Jermusyk A, Wu L, Hoskins JW, Collins I, Mocci E, Zhang M, Song L, Chung CC, Zhang T, Xiao W, Albanes D, Andreotti G, Arslan AA, Babic A, Bamlet WR, Beane-Freeman L, Berndt S, Borgida A, Bracci PM, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Canzian F, Childs EJ, Cotterchio M, Du M, Duell EJ, Fuchs C, Gallinger S, Gaziano JM, Giles GG, Giovannucci E, Goggins M, Goodman GE, Goodman PJ, Haiman C, Hartge P, Hasan M, Helzlsouer KJ, Holly EA, Klein EA, Kogevinas M, Kurtz RJ, LeMarchand L, Malats N, Männistö S, Milne R, Neale RE, Ng K, Obazee O, Oberg AL, Orlow I, Patel AV, Peters U, Porta M, Rothman N, Scelo G, Sesso HD, Severi G, Sieri S, Silverman D, Sund M, Tjønneland A, Thornquist MD, Tobias GS, Trichopoulou A, Van Den Eeden SK, Visvanathan K, Wactawski-Wende J, Wentzensen N, White E, Yu H, Yuan C, Zeleniuch-Jacquotte A, Hoover R, Brown K, Kooperberg C, Risch HA, Jacobs EJ, Li D, Yu K, Shu XO, Chanock SJ, Wolpin BM, Stolzenberg-Solomon RZ, Chatterjee N, Klein AP, Smith JP, Kraft P, Shi J, Petersen GM, Zheng W, and Amundadottir LT
- Subjects
- Databases, Genetic, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Transcriptome, Pancreatic Neoplasms genetics
- Abstract
Background: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown., Methods: To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74-421 samples)., Results: We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate < .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22: RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction., Conclusions: By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation., (Published by Oxford University Press 2020. This work is written by US Government employees and is in the public domain in the US.)
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- 2020
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30. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer.
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Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Borgida A, Boutron-Ruault MC, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee KG, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, M Gaziano JM, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer KJ, Herman J, Holcatova I, Holly EA, Hoover R, Hung RJ, Janout V, Klein EA, Kurtz RC, Laheru D, Lee IM, Lu L, Malats N, Mannisto S, Milne RL, Oberg AL, Orlow I, Patel AV, Peters U, Porta M, Real FX, Rothman N, Sesso HD, Severi G, Silverman D, Strobel O, Sund M, Thornquist MD, Tobias GS, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Amundadottir LT, Yu K, Klein AP, and Stolzenberg-Solomon RZ
- Subjects
- Case-Control Studies, Genetic Predisposition to Disease, Humans, Models, Statistical, Polymorphism, Single Nucleotide, Carcinoma, Pancreatic Ductal genetics, Genome-Wide Association Study methods, Pancreatic Neoplasms genetics
- Abstract
Background: Genome-wide association studies (GWAS) identify associations of individual single-nucleotide polymorphisms (SNPs) with cancer risk but usually only explain a fraction of the inherited variability. Pathway analysis of genetic variants is a powerful tool to identify networks of susceptibility genes., Methods: We conducted a large agnostic pathway-based meta-analysis of GWAS data using the summary-based adaptive rank truncated product method to identify gene sets and pathways associated with pancreatic ductal adenocarcinoma (PDAC) in 9040 cases and 12 496 controls. We performed expression quantitative trait loci (eQTL) analysis and functional annotation of the top SNPs in genes contributing to the top associated pathways and gene sets. All statistical tests were two-sided., Results: We identified 14 pathways and gene sets associated with PDAC at a false discovery rate of less than 0.05. After Bonferroni correction (P ≤ 1.3 × 10-5), the strongest associations were detected in five pathways and gene sets, including maturity-onset diabetes of the young, regulation of beta-cell development, role of epidermal growth factor (EGF) receptor transactivation by G protein-coupled receptors in cardiac hypertrophy pathways, and the Nikolsky breast cancer chr17q11-q21 amplicon and Pujana ATM Pearson correlation coefficient (PCC) network gene sets. We identified and validated rs876493 and three correlating SNPs (PGAP3) and rs3124737 (CASP7) from the Pujana ATM PCC gene set as eQTLs in two normal derived pancreas tissue datasets., Conclusion: Our agnostic pathway and gene set analysis integrated with functional annotation and eQTL analysis provides insight into genes and pathways that may be biologically relevant for risk of PDAC, including those not previously identified., (Published by Oxford University Press 2018. This work is written by US Government employees and is in the public domain in the US.)
- Published
- 2019
- Full Text
- View/download PDF
31. Characterization of the Neuroendocrine Tumor Immune Microenvironment.
- Author
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da Silva A, Bowden M, Zhang S, Masugi Y, Thorner AR, Herbert ZT, Zhou CW, Brais L, Chan JA, Hodi FS, Rodig S, Ogino S, and Kulke MH
- Subjects
- Adult, Aged, Aged, 80 and over, B7-H1 Antigen biosynthesis, Female, Humans, Intestinal Neoplasms immunology, Intestinal Neoplasms metabolism, Intestine, Small immunology, Intestine, Small metabolism, Male, Middle Aged, Neuroendocrine Tumors immunology, Neuroendocrine Tumors metabolism, Pancreatic Neoplasms immunology, Pancreatic Neoplasms metabolism, Programmed Cell Death 1 Ligand 2 Protein biosynthesis, Programmed Cell Death 1 Receptor biosynthesis, T-Lymphocytes immunology, T-Lymphocytes pathology, Intestinal Neoplasms pathology, Intestine, Small pathology, Neuroendocrine Tumors pathology, Pancreatic Neoplasms pathology, Tumor Microenvironment
- Abstract
Objectives: The immune environment and the potential for neuroendocrine tumors (NETs) to respond to immune checkpoint inhibitors remain largely unexplored. We assessed immune checkpoint marker expression, lymphocytic infiltrate, and associated mutational profiles in a cohort of small intestine and pancreatic NETs., Methods: We assessed expression of PDCD1 (PD-1), CD274 (PD-L1), and PDCD1LG2 (PD-L2) in archival tissue from 64 small intestine (SINETs) and 31 pancreatic NETs (pNET). We additionally assessed T-cell infiltrates, categorizing T-cell subsets based on expression of the T-cell markers CD3, CD8, CD45RO (PTPRC), or FOXP3. Finally, we explored associations between immune checkpoint marker expression, lymphocytic infiltrate, and tumor mutational profiles., Results: Expression of PD-1 or PD-L1 in small intestine or pancreatic NET was rare, whereas expression of PD-L2 was common in both NET subtypes. T-cell infiltrates were more abundant in pNET than in SINET. We found no clear associations between immune checkpoint marker expression, immune infiltrates, and specific mutational profile within each tumor type., Conclusions: Our findings provide an initial assessment of the immune environment of well-differentiated NETs. Further studies to define the immunologic differences between pNET and SINET, as well as the role of PD-L2 in these tumors, are warranted.
- Published
- 2018
- Full Text
- View/download PDF
32. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer.
- Author
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Klein AP, Wolpin BM, Risch HA, Stolzenberg-Solomon RZ, Mocci E, Zhang M, Canzian F, Childs EJ, Hoskins JW, Jermusyk A, Zhong J, Chen F, Albanes D, Andreotti G, Arslan AA, Babic A, Bamlet WR, Beane-Freeman L, Berndt SI, Blackford A, Borges M, Borgida A, Bracci PM, Brais L, Brennan P, Brenner H, Bueno-de-Mesquita B, Buring J, Campa D, Capurso G, Cavestro GM, Chaffee KG, Chung CC, Cleary S, Cotterchio M, Dijk F, Duell EJ, Foretova L, Fuchs C, Funel N, Gallinger S, M Gaziano JM, Gazouli M, Giles GG, Giovannucci E, Goggins M, Goodman GE, Goodman PJ, Hackert T, Haiman C, Hartge P, Hasan M, Hegyi P, Helzlsouer KJ, Herman J, Holcatova I, Holly EA, Hoover R, Hung RJ, Jacobs EJ, Jamroziak K, Janout V, Kaaks R, Khaw KT, Klein EA, Kogevinas M, Kooperberg C, Kulke MH, Kupcinskas J, Kurtz RJ, Laheru D, Landi S, Lawlor RT, Lee IM, LeMarchand L, Lu L, Malats N, Mambrini A, Mannisto S, Milne RL, Mohelníková-Duchoňová B, Neale RE, Neoptolemos JP, Oberg AL, Olson SH, Orlow I, Pasquali C, Patel AV, Peters U, Pezzilli R, Porta M, Real FX, Rothman N, Scelo G, Sesso HD, Severi G, Shu XO, Silverman D, Smith JP, Soucek P, Sund M, Talar-Wojnarowska R, Tavano F, Thornquist MD, Tobias GS, Van Den Eeden SK, Vashist Y, Visvanathan K, Vodicka P, Wactawski-Wende J, Wang Z, Wentzensen N, White E, Yu H, Yu K, Zeleniuch-Jacquotte A, Zheng W, Kraft P, Li D, Chanock S, Obazee O, Petersen GM, and Amundadottir LT
- Subjects
- Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Hepatocyte Nuclear Factor 1-beta genetics, Hepatocyte Nuclear Factor 4 genetics, Humans, Intercellular Signaling Peptides and Proteins, Intracellular Signaling Peptides and Proteins, Polymorphism, Single Nucleotide, Proteins genetics, Repressor Proteins genetics, Tensins genetics, Carcinoma, Pancreatic Ductal genetics, Pancreatic Neoplasms genetics
- Abstract
In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10
-8 ). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10-14 ), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10-10 ), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10-8 ), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10-8 ). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene.- Published
- 2018
- Full Text
- View/download PDF
33. Assigning clinical meaning to somatic and germ-line whole-exome sequencing data in a prospective cancer precision medicine study.
- Author
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Ghazani AA, Oliver NM, St Pierre JP, Garofalo A, Rainville IR, Hiller E, Treacy DJ, Rojas-Rudilla V, Wood S, Bair E, Parello M, Huang F, Giannakis M, Wilson FH, Stover EH, Corsello SM, Nguyen T, Rana HQ, Church AJ, Lowenstein C, Cibulskis C, Amin-Mansour A, Heng J, Brais L, Santos A, Bauer P, Waldron A, Lo P, Gorman M, Lydon CA, Welch M, McNamara P, Gabriel S, Sholl LM, Lindeman NI, Garber JE, Joffe S, Van Allen EM, Gray SW, Ja Nne PA, Garraway LA, and Wagle N
- Subjects
- Adenocarcinoma genetics, Adenocarcinoma of Lung, Adult, Colorectal Neoplasms genetics, Databases, Genetic, Genomics methods, Germ-Line Mutation genetics, High-Throughput Nucleotide Sequencing methods, Humans, Lung Neoplasms genetics, Mutation genetics, Prospective Studies, Sequence Analysis, DNA methods, Exome genetics, Precision Medicine methods, Exome Sequencing methods
- Abstract
Purpose: Implementing cancer precision medicine in the clinic requires assessing the therapeutic relevance of genomic alterations. A main challenge is the systematic interpretation of whole-exome sequencing (WES) data for clinical care., Methods: One hundred sixty-five adults with metastatic colorectal and lung adenocarcinomas were prospectively enrolled in the CanSeq study. WES was performed on DNA extracted from formalin-fixed paraffin-embedded tumor biopsy samples and matched blood samples. Somatic and germ-line alterations were ranked according to therapeutic or clinical relevance. Results were interpreted using an integrated somatic and germ-line framework and returned in accordance with patient preferences., Results: At the time of this analysis, WES had been performed and results returned to the clinical team for 165 participants. Of 768 curated somatic alterations, only 31% were associated with clinical evidence and 69% with preclinical or inferential evidence. Of 806 curated germ-line variants, 5% were clinically relevant and 56% were classified as variants of unknown significance. The variant review and decision-making processes were effective when the process was changed from that of a Molecular Tumor Board to a protocol-based approach., Conclusion: The development of novel interpretive and decision-support tools that draw from scientific and clinical evidence will be crucial for the success of cancer precision medicine in WES studies.Genet Med advance online publication 26 January 2017.
- Published
- 2017
- Full Text
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34. Profiling of metastatic small intestine neuroendocrine tumors reveals characteristic miRNAs detectable in plasma.
- Author
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Bowden M, Zhou CW, Zhang S, Brais L, Rossi A, Naudin L, Thiagalingam A, Sicinska E, and Kulke MH
- Abstract
Background: Current diagnostic and prognostic blood-based biomarkers for neuroendocrine tumors are limited. MiRNAs have tumor-specific expression patterns, are relatively stable, and can be measured in patient blood specimens. We performed a multi-stage study to identify and validate characteristic circulating miRNAs in patients with metastatic small intestine neuroendocrine tumors, and to assess associations between miRNA levels and survival., Methods: Using a 742-miRNA panel, we identified candidate miRNAs similarly expressed in 19 small intestine neuroendocrine tumors and matched plasma samples. We refined our panel in an independent cohort of plasma samples from 40 patients with metastatic small intestine NET and 40 controls, and then validated this panel in a second, large cohort of 120 patients with metastatic small intestine NET and 120 independent controls., Results: miRNA profiling of 19 matched small intestine neuroendocrine tumors and matched plasma samples revealed 31 candidate miRNAs similarly expressed in both tissue and plasma. We evaluated expression of these 31 candidate miRNAs in 40 independent cases and 40 normal controls, and identified 4 miRNAs (miR-21-5p, miR-22-3p, miR-29b-3p, and miR-150-5p) that were differently expressed in cases and controls (p<0.05). We validated these 4 miRNAs in a separate, larger panel of 120 cases and 120 controls. We confirmed that high circulating levels of miR-22-3p (p<0.0001), high levels of miR 21-5p, and low levels of miR-150-5p (p=0.027) were associated with the presence of metastatic small intestine NET. While levels of 29b-3p were lower in cases than in controls in both the initial cohort and the validation cohort, the difference in the validation cohort did not reach statistical significance. We further found that high levels of circulating miR-21-5p, high levels of circulating miR-22-3p and low levels of circulating miR-150-5p were each independently associated with shorter overall survival. A combined analysis using all three markers was highly prognostic for survival (HR 0.47, 95% CI 0.27-0.82)., Conclusions: Our study suggests that elevated circulating levels of miR-21-5p and miR-22-3p and low levels of miR-150-5p are characteristic in patients with metastatic small intestine neuroendocrine tumors, and further suggests that levels of these miRNAs are associated with overall survival. These observations provide the basis for further validation studies, as well as studies to assess the biological function of these miRNAs in small intestine neuroendocrine tumors., Competing Interests: CONFLICTS OF INTEREST The authors declared that there are no conflicts of interest in this work.
- Published
- 2017
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- View/download PDF
35. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21.
- Author
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Zhang M, Wang Z, Obazee O, Jia J, Childs EJ, Hoskins J, Figlioli G, Mocci E, Collins I, Chung CC, Hautman C, Arslan AA, Beane-Freeman L, Bracci PM, Buring J, Duell EJ, Gallinger S, Giles GG, Goodman GE, Goodman PJ, Kamineni A, Kolonel LN, Kulke MH, Malats N, Olson SH, Sesso HD, Visvanathan K, White E, Zheng W, Abnet CC, Albanes D, Andreotti G, Brais L, Bueno-de-Mesquita HB, Basso D, Berndt SI, Boutron-Ruault MC, Bijlsma MF, Brenner H, Burdette L, Campa D, Caporaso NE, Capurso G, Cavestro GM, Cotterchio M, Costello E, Elena J, Boggi U, Gaziano JM, Gazouli M, Giovannucci EL, Goggins M, Gross M, Haiman CA, Hassan M, Helzlsouer KJ, Hu N, Hunter DJ, Iskierka-Jazdzewska E, Jenab M, Kaaks R, Key TJ, Khaw KT, Klein EA, Kogevinas M, Krogh V, Kupcinskas J, Kurtz RC, Landi MT, Landi S, Le Marchand L, Mambrini A, Mannisto S, Milne RL, Neale RE, Oberg AL, Panico S, Patel AV, Peeters PH, Peters U, Pezzilli R, Porta M, Purdue M, Quiros JR, Riboli E, Rothman N, Scarpa A, Scelo G, Shu XO, Silverman DT, Soucek P, Strobel O, Sund M, Małecka-Panas E, Taylor PR, Tavano F, Travis RC, Thornquist M, Tjønneland A, Tobias GS, Trichopoulos D, Vashist Y, Vodicka P, Wactawski-Wende J, Wentzensen N, Yu H, Yu K, Zeleniuch-Jacquotte A, Kooperberg C, Risch HA, Jacobs EJ, Li D, Fuchs C, Hoover R, Hartge P, Chanock SJ, Petersen GM, Stolzenberg-Solomon RS, Wolpin BM, Kraft P, Klein AP, Canzian F, and Amundadottir LT
- Subjects
- Datasets as Topic, Genome-Wide Association Study methods, Genotype, Humans, Polymorphism, Single Nucleotide genetics, Chromosomes, Human, Pair 1 genetics, Chromosomes, Human, Pair 5 genetics, Chromosomes, Human, Pair 8 genetics, Genetic Predisposition to Disease genetics, Pancreatic Neoplasms genetics
- Abstract
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10 -15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10 -9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10 -8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 ( NR5A2), chr8q24.21 ( MYC) and chr5p15.33 ( CLPTM1L- TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal ( n = 10) and tumor ( n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10 -8). This finding was validated in a second set of paired ( n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10 -4-2.0x10 -3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
- Published
- 2016
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- View/download PDF
36. Genetic associations with neuroendocrine tumor risk: results from a genome-wide association study.
- Author
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Du Y, Ter-Minassian M, Brais L, Brooks N, Waldron A, Chan JA, Lin X, Kraft P, Christiani DC, and Kulke MH
- Subjects
- Female, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Risk Factors, Bronchial Neoplasms genetics, Intestinal Neoplasms genetics, Neuroendocrine Tumors genetics, Pancreatic Neoplasms genetics
- Abstract
The etiology of neuroendocrine tumors remains poorly defined. Although neuroendocrine tumors are in some cases associated with inherited genetic syndromes, such syndromes are rare. The majority of neuroendocrine tumors are thought to be sporadic. We performed a genome-wide association study (GWAS) to identify potential genetic risk factors for sporadic neuroendocrine tumors. Using germline DNA from blood specimens, we genotyped 909,622 SNPs using the Affymetrix 6.0 GeneChip, in a cohort comprising 832 neuroendocrine tumor cases from Dana-Farber Cancer Institute and Massachusetts General Hospital and 4542 controls from the Harvard School of Public Health. An additional 241 controls from Dana-Farber Cancer Institute were used for quality control. We assessed risk associations in the overall cohort, and in neuroendocrine tumor subgroups. We identified no potential risk associations in the cohort overall. In the small intestine neuroendocrine tumor subgroup, comprising 293 cases, we identified risk associations with three SNPs on chromosome 12, all in strong LD. The three SNPs are located upstream of ELK3, a transcription factor implicated in angiogenesis. We did not identify clear risk associations in the bronchial or pancreatic neuroendocrine subgroups. This large-scale study provides initial evidence that presumed sporadic small intestine neuroendocrine tumors may have a genetic etiology. Our results provide a basis for further exploring the role of genes implicated in this analysis, and for replication studies to confirm the observed associations. Additional studies to evaluate potential genetic risk factors for sporadic pancreatic and bronchial neuroendocrine tumors are warranted., (© 2016 Society for Endocrinology.)
- Published
- 2016
- Full Text
- View/download PDF
37. [Pulmonary emphysema caused by deficiency of alpha-I antitrypsin: a familial study].
- Author
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Lebrun-Brais L, Blanchette G, and Provost G
- Subjects
- Adult, Aged, Female, Humans, Male, Middle Aged, Pulmonary Emphysema genetics, Glycoproteins metabolism, Protein Deficiency complications, Pulmonary Emphysema etiology, Trypsin Inhibitors metabolism
- Published
- 1971
38. [Pleural and pulmonary biopsy with a high speed, pneumatic drill].
- Author
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Blanchette G, Provost G, and Lebrun-Brais L
- Subjects
- Humans, Lung pathology, Methods, Biopsy instrumentation, Lung Diseases diagnosis, Pleural Diseases diagnosis, Surgical Instruments
- Published
- 1971
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