744 results on '"Newcomb, PA"'
Search Results
2. Urinary cadmium and risk of invasive breast cancer in the Women's Health Initiative
- Author
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La Croix, Andrea, Adams, SV, Shafer, MM, Bonner, MR, Manson, JE, Meliker, JR, Neuhouser, ML, and Newcomb, PA
- Subjects
breast cancer ,cadmium - Published
- 2021
3. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses
- Author
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Papadimitriou, N, Qu, C, Harrison, TA, Bever, AM, Martin, RM, Tsilidis, KK, Newcomb, PA, Thibadeau, SN, Newton, CC, Um, CY, Obon-Santacana, M, Moreno, V, Brenner, H, Mandic, M, Chang-Claude, J, Hoffmeister, M, Pellatt, AJ, Schoen, RE, Harlid, S, Ogino, S, Ugai, T, Buchanan, DD, Lynch, BM, Gruber, SB, Cao, Y, Hsu, L, Huyghe, JR, Lin, Y, Steinfelder, RS, Sun, W, Van Guelpen, B, Zaidi, SH, Toland, AE, Berndt, SI, Huang, W-Y, Aglago, EK, Drew, DA, French, AJ, Georgeson, P, Giannakis, M, Hullar, M, Nowak, JA, Thomas, CE, LeMarchand, L, Cheng, I, Gallinger, S, Jenkins, MA, Gunter, MJ, Campbell, PT, Peters, U, Song, M, Phipps, AI, Murphya, N, Papadimitriou, N, Qu, C, Harrison, TA, Bever, AM, Martin, RM, Tsilidis, KK, Newcomb, PA, Thibadeau, SN, Newton, CC, Um, CY, Obon-Santacana, M, Moreno, V, Brenner, H, Mandic, M, Chang-Claude, J, Hoffmeister, M, Pellatt, AJ, Schoen, RE, Harlid, S, Ogino, S, Ugai, T, Buchanan, DD, Lynch, BM, Gruber, SB, Cao, Y, Hsu, L, Huyghe, JR, Lin, Y, Steinfelder, RS, Sun, W, Van Guelpen, B, Zaidi, SH, Toland, AE, Berndt, SI, Huang, W-Y, Aglago, EK, Drew, DA, French, AJ, Georgeson, P, Giannakis, M, Hullar, M, Nowak, JA, Thomas, CE, LeMarchand, L, Cheng, I, Gallinger, S, Jenkins, MA, Gunter, MJ, Campbell, PT, Peters, U, Song, M, Phipps, AI, and Murphya, N
- Abstract
BACKGROUND: Obesity has been positively associated with most molecular subtypes of colorectal cancer (CRC); however, the magnitude and the causality of these associations is uncertain. METHODS: We used Mendelian randomization (MR) to examine potential causal relationships between body size traits (body mass index [BMI], waist circumference, and body fat percentage) with risks of Jass classification types and individual subtypes of CRC (microsatellite instability [MSI] status, CpG island methylator phenotype [CIMP] status, BRAF and KRAS mutations). Summary data on tumour markers were obtained from two genetic consortia (CCFR, GECCO). FINDINGS: A 1-standard deviation (SD:5.1 kg/m2) increment in BMI levels was found to increase risks of Jass type 1MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype (odds ratio [OR]: 2.14, 95% confidence interval [CI]: 1.46, 3.13; p-value = 9 × 10-5) and Jass type 2non-MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype CRC (OR: 2.20, 95% CI: 1.26, 3.86; p-value = 0.005). The magnitude of these associations was stronger compared with Jass type 4non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-wildtype CRC (p-differences: 0.03 and 0.04, respectively). A 1-SD (SD:13.4 cm) increment in waist circumference increased risk of Jass type 3non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-mutated (OR 1.73, 95% CI: 1.34, 2.25; p-value = 9 × 10-5) that was stronger compared with Jass type 4 CRC (p-difference: 0.03). A higher body fat percentage (SD:8.5%) increased risk of Jass type 1 CRC (OR: 2.59, 95% CI: 1.49, 4.48; p-value = 0.001), which was greater than Jass type 4 CRC (p-difference: 0.03). INTERPRETATION: Body size was more strongly linked to the serrated (Jass types 1 and 2) and alternate (Jass type 3) pathways of colorectal carcinogenesis in comparison to the traditional pathway (Jass type 4). FUNDING: Cancer Research UK, National Institute for Health Research, Medical Research Council, National Institutes of Health, National Cancer Institute, Americ
- Published
- 2024
4. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk
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Tian, Y, Lin, Y, Qu, C, Arndt, V, Baurley, JW, Berndt, SI, Bien, SA, Bishop, DT, Brenner, H, Buchanan, DD, Budiarto, A, Campbell, PT, Carreras-Torres, R, Casey, G, Chan, AT, Chen, R, Chen, X, Conti, DV, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gunter, MJ, Harlid, S, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Joshi, AD, Keku, TO, Kawaguchi, E, Kim, AE, Kundaje, A, Larsson, SC, Marchand, LL, Lewinger, JP, Li, L, Moreno, V, Morrison, J, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, EA, Sakoda, LC, Schoen, RE, Shcherbina, A, Stern, MC, Su, Y-R, Thibodeau, SN, Thomas, DC, Tsilidis, KK, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Lin, Y, Qu, C, Arndt, V, Baurley, JW, Berndt, SI, Bien, SA, Bishop, DT, Brenner, H, Buchanan, DD, Budiarto, A, Campbell, PT, Carreras-Torres, R, Casey, G, Chan, AT, Chen, R, Chen, X, Conti, DV, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gunter, MJ, Harlid, S, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Joshi, AD, Keku, TO, Kawaguchi, E, Kim, AE, Kundaje, A, Larsson, SC, Marchand, LL, Lewinger, JP, Li, L, Moreno, V, Morrison, J, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, EA, Sakoda, LC, Schoen, RE, Shcherbina, A, Stern, MC, Su, Y-R, Thibodeau, SN, Thomas, DC, Tsilidis, KK, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J
- Abstract
BACKGROUND: Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk. METHODS: We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated. RESULTS: The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10-8). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk. CONCLUSIONS: MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use.
- Published
- 2024
5. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis.
- Author
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Yarmolinsky, J, Robinson, JW, Mariosa, D, Karhunen, V, Huang, J, Dimou, N, Murphy, N, Burrows, K, Bouras, E, Smith-Byrne, K, Lewis, SJ, Galesloot, TE, Kiemeney, LA, Vermeulen, S, Martin, P, Albanes, D, Hou, L, Newcomb, PA, White, E, Wolk, A, Wu, AH, Le Marchand, L, Phipps, AI, Buchanan, DD, International Lung Cancer Consortium, PRACTICAL Consortium, Zhao, SS, Gill, D, Chanock, SJ, Purdue, MP, Davey Smith, G, Brennan, P, Herzig, K-H, Järvelin, M-R, Amos, CI, Hung, RJ, Dehghan, A, Johansson, M, Gunter, MJ, Tsilidis, KK, Martin, RM, Yarmolinsky, J, Robinson, JW, Mariosa, D, Karhunen, V, Huang, J, Dimou, N, Murphy, N, Burrows, K, Bouras, E, Smith-Byrne, K, Lewis, SJ, Galesloot, TE, Kiemeney, LA, Vermeulen, S, Martin, P, Albanes, D, Hou, L, Newcomb, PA, White, E, Wolk, A, Wu, AH, Le Marchand, L, Phipps, AI, Buchanan, DD, International Lung Cancer Consortium, PRACTICAL Consortium, Zhao, SS, Gill, D, Chanock, SJ, Purdue, MP, Davey Smith, G, Brennan, P, Herzig, K-H, Järvelin, M-R, Amos, CI, Hung, RJ, Dehghan, A, Johansson, M, Gunter, MJ, Tsilidis, KK, and Martin, RM
- Abstract
BACKGROUND: Tumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,294 cancer cases and up to 1,238,345 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 × 10-8) cis-acting SNPs (i.e., in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r2 < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value ("q-value") <0.05 was used as a threshold to define "strong evidence" to support associations and 0.05 ≤ q-value < 0.20 to define "suggestive evidence". A colocalisation posterior probability (PPH4) >70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. Findings were replicated in the FinnGen study and then pooled using meta-analysis. FINDINGS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR: 1.19, 95% CI: 1.10-1.29, q-value = 0.033, PPH4 = 84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR: 1.42, 95% CI: 1.20-1.69, q-value = 0.055, PP
- Published
- 2024
6. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk
- Author
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Aglago, EK, Kim, A, Lin, Y, Qu, C, Evangelou, M, Ren, Y, Morrison, J, Albanes, D, Arndt, V, Barry, EL, Baurley, JW, Berndt, S, Bien, SA, Bishop, DT, Bouras, E, Brenner, H, Buchanan, DD, Budiarto, A, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chen, AT, Chang-Claude, J, Chen, X, Conti, D, Devall, M, Diez-Obrero, V, Dimou, N, Drew, D, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampel, H, Harlid, S, Hidaka, A, Harrison, TA, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, K, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mandic, M, Obon-Santacana, M, Morento, V, Murphy, N, Men, H, Nassir, R, Newcomb, PA, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Tian, Y, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Wang, J, White, E, Wolk, A, Woods, MO, Wu, AH, Zemlianskaia, N, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, Campbell, PT, Aglago, EK, Kim, A, Lin, Y, Qu, C, Evangelou, M, Ren, Y, Morrison, J, Albanes, D, Arndt, V, Barry, EL, Baurley, JW, Berndt, S, Bien, SA, Bishop, DT, Bouras, E, Brenner, H, Buchanan, DD, Budiarto, A, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chen, AT, Chang-Claude, J, Chen, X, Conti, D, Devall, M, Diez-Obrero, V, Dimou, N, Drew, D, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampel, H, Harlid, S, Hidaka, A, Harrison, TA, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, K, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mandic, M, Obon-Santacana, M, Morento, V, Murphy, N, Men, H, Nassir, R, Newcomb, PA, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Tian, Y, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Wang, J, White, E, Wolk, A, Woods, MO, Wu, AH, Zemlianskaia, N, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, and Campbell, PT
- Abstract
UNLABELLED: Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. SIGNIFICANCE: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.
- Published
- 2023
7. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis.
- Author
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Yarmolinsky, J, Robinson, JW, Mariosa, D, Karhunen, V, Huang, J, Dimou, N, Murphy, N, Burrows, K, Bouras, E, Smith-Byrne, K, Lewis, SJ, Galesloot, TE, Kiemeney, LA, Vermeulen, S, Martin, P, Albanes, D, Hou, L, Newcomb, PA, White, E, Wolk, A, Wu, AH, Marchand, LL, Phipps, AI, Buchanan, DD, International Lung Cancer Consortium, PRACTICAL consortium, Zhao, SS, Gill, D, Chanock, SJ, Purdue, MP, Smith, GD, Brennan, P, Herzig, K-H, Jarvelin, M-R, Dehghan, A, Johansson, M, Gunter, MJ, Tsilidis, KK, Martin, RM, Yarmolinsky, J, Robinson, JW, Mariosa, D, Karhunen, V, Huang, J, Dimou, N, Murphy, N, Burrows, K, Bouras, E, Smith-Byrne, K, Lewis, SJ, Galesloot, TE, Kiemeney, LA, Vermeulen, S, Martin, P, Albanes, D, Hou, L, Newcomb, PA, White, E, Wolk, A, Wu, AH, Marchand, LL, Phipps, AI, Buchanan, DD, International Lung Cancer Consortium, PRACTICAL consortium, Zhao, SS, Gill, D, Chanock, SJ, Purdue, MP, Smith, GD, Brennan, P, Herzig, K-H, Jarvelin, M-R, Dehghan, A, Johansson, M, Gunter, MJ, Tsilidis, KK, and Martin, RM
- Abstract
BACKGROUND: Tumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,162 cancer cases and up to 824,556 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 x 10-8) cis-acting SNPs (i.e. in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r2 < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value ("q-value") < 0.05 was used as a threshold to define "strong evidence" to support associations and 0.05 ≤ q-value < 0.20 to define "suggestive evidence". A colocalisation posterior probability (PPH4) > 70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. RESULTS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR 1.19, 95% CI 1.10-1.29, q-value=0.033, PPH4=84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR 1.42, 95% CI 1.20-1.69, q-value=0.055, PPH4=73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR 0.66, 95% CI
- Published
- 2023
8. Prognostic role of detailed colorectal location and tumor molecular features: analyses of 13,101 colorectal cancer patients including 2994 early-onset cases
- Author
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Ugai, T, Akimoto, N, Haruki, K, Harrison, TA, Cao, Y, Qu, C, Chan, AT, Campbell, PT, Berndt, S, Buchanan, DD, Cross, AJ, Diergaarde, B, Gallinger, SJ, Gunter, MJ, Harlid, S, Hidaka, A, Hoffmeister, M, Brenner, H, Chang-Claude, J, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Newcomb, PA, Nishihara, R, Obon-Santacana, M, Pai, RK, Sakoda, LC, Schoen, RE, Slattery, ML, Sun, W, Amitay, EL, Alwers, E, Thibodeau, SN, Toland, AE, Van Guelpen, B, Zaidi, SH, Potter, JD, Meyerhardt, JA, Giannakis, M, Song, M, Nowak, JA, Peters, U, Phipps, A, Ogino, S, Ugai, T, Akimoto, N, Haruki, K, Harrison, TA, Cao, Y, Qu, C, Chan, AT, Campbell, PT, Berndt, S, Buchanan, DD, Cross, AJ, Diergaarde, B, Gallinger, SJ, Gunter, MJ, Harlid, S, Hidaka, A, Hoffmeister, M, Brenner, H, Chang-Claude, J, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Newcomb, PA, Nishihara, R, Obon-Santacana, M, Pai, RK, Sakoda, LC, Schoen, RE, Slattery, ML, Sun, W, Amitay, EL, Alwers, E, Thibodeau, SN, Toland, AE, Van Guelpen, B, Zaidi, SH, Potter, JD, Meyerhardt, JA, Giannakis, M, Song, M, Nowak, JA, Peters, U, Phipps, A, and Ogino, S
- Abstract
BACKGROUND: The pathogenic effect of colorectal tumor molecular features may be influenced by several factors, including those related to microbiota, inflammation, metabolism, and epigenetics, which may change along colorectal segments. We hypothesized that the prognostic association of colon cancer location might differ by tumor molecular characteristics. METHODS: Utilizing a consortium dataset of 13,101 colorectal cancer cases, including 2994 early-onset cases, we conducted survival analyses of detailed tumor location stratified by statuses of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF oncogenic mutation. RESULTS: There was a statistically significant trend for better colon cancer-specific survival in relation to tumor location from the cecum to sigmoid colon (Ptrend = 0.002), excluding the rectum. The prognostic association of colon location differed by MSI status (Pinteraction = 0.001). Non-MSI-high tumors exhibited the cecum-to-sigmoid trend for better colon cancer-specific survival [Ptrend < 0.001; multivariable hazard ratio (HR) for the sigmoid colon (vs. cecum), 0.80; 95% confidence interval (CI) 0.70-0.92], whereas MSI-high tumors demonstrated a suggestive cecum-to-sigmoid trend for worse survival (Ptrend = 0.020; the corresponding HR, 2.13; 95% CI 1.15-3.92). The prognostic association of colon tumor location also differed by CIMP status (Pinteraction = 0.003) but not significantly by age, stage, or other features. Furthermore, MSI-high status was a favorable prognostic indicator in all stages. CONCLUSIONS: Both detailed colonic location and tumor molecular features need to be accounted for colon cancer prognostication to advance precision medicine. Our study indicates the important role of large-scale studies to robustly examine detailed colonic subsites in molecular oncology research.
- Published
- 2023
9. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response
- Author
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Carreras-Torres, R, Kim, AE, Lin, Y, Diez-Obrero, V, Bien, SA, Qu, C, Wang, J, Dimou, N, Aglago, EK, Albanes, D, Arndt, V, Baurley, JW, Berndt, SI, Bezieau, S, Bishop, DT, Bouras, E, Brenner, H, Budiarto, A, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chen, X, Conti, D, Dampier, CH, Devall, MAM, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Kawaguchi, E, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, JL, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Cenggoro, TW, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Hsu, L, Peters, U, Moreno, V, Gauderman, WJ, Carreras-Torres, R, Kim, AE, Lin, Y, Diez-Obrero, V, Bien, SA, Qu, C, Wang, J, Dimou, N, Aglago, EK, Albanes, D, Arndt, V, Baurley, JW, Berndt, SI, Bezieau, S, Bishop, DT, Bouras, E, Brenner, H, Budiarto, A, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chen, X, Conti, D, Dampier, CH, Devall, MAM, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Kawaguchi, E, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, JL, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Cenggoro, TW, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Hsu, L, Peters, U, Moreno, V, and Gauderman, WJ
- Abstract
BACKGROUND: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. METHODS: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. RESULTS: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). CONCLUSIONS: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. IMPACT: These findings can guide potential prevention treatments.
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- 2023
10. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.
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Su, Y-R, Sakoda, LC, Jeon, J, Thomas, M, Lin, Y, Schneider, JL, Udaltsova, N, Lee, JK, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Zheng, J, Zheng, Y, Hauser, E, Baron, JA, Barry, EL, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellví-Bel, S, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hua, X, Huyghe, JR, Jenkins, MA, Keku, TO, Marchand, LL, Li, L, Lindblom, A, Moreno, V, Newcomb, PA, Pharoah, PDP, Platz, EA, Potter, JD, Qu, C, Rennert, G, Schoen, RE, Slattery, ML, Song, M, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, Wolk, A, Woods, MO, Wu, AH, Hayes, RB, Peters, U, Corley, DA, Hsu, L, Su, Y-R, Sakoda, LC, Jeon, J, Thomas, M, Lin, Y, Schneider, JL, Udaltsova, N, Lee, JK, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Zheng, J, Zheng, Y, Hauser, E, Baron, JA, Barry, EL, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellví-Bel, S, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hua, X, Huyghe, JR, Jenkins, MA, Keku, TO, Marchand, LL, Li, L, Lindblom, A, Moreno, V, Newcomb, PA, Pharoah, PDP, Platz, EA, Potter, JD, Qu, C, Rennert, G, Schoen, RE, Slattery, ML, Song, M, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, Wolk, A, Woods, MO, Wu, AH, Hayes, RB, Peters, U, Corley, DA, and Hsu, L
- Abstract
BACKGROUND: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance. METHODS: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group). RESULTS: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity. CONCLUSIONS: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort. IMPACT: The proposed model has potential utility in risk-stratified colorectal cancer prevention.
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- 2023
11. Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses
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Dimou, N, Kim, AE, Flanagan, O, Murphy, N, Diez-Obrero, V, Shcherbina, A, Aglago, EK, Bouras, E, Campbell, PT, Casey, G, Gallinger, S, Gruber, SB, Jenkins, MA, Lin, Y, Moreno, V, Ruiz-Narvaez, E, Stern, MC, Tian, Y, Tsilidis, KK, Arndt, V, Barry, EL, Baurley, JW, Berndt, SI, Bezieau, S, Bien, SA, Bishop, DT, Brenner, H, Budiarto, A, Carreras-Torres, R, Cenggoro, TW, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, X, Conti, DV, Dampier, CH, Devall, M, Drew, DA, Figueiredo, JC, Giles, GG, Gsur, A, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jordahl, K, Kawaguchi, E, Keku, TO, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, J, Newcomb, PA, Newton, CC, Obon-Santacana, M, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Scacheri, PC, Schoen, RE, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Ulrich, CM, Um, CY, van Duijnhoven, FJB, Visvanathan, K, Vodicka, P, Vodickova, L, White, E, Wolk, A, Woods, MO, Qu, C, Kundaje, A, Hsu, L, Gauderman, WJ, Gunter, MJ, Peters, U, Dimou, N, Kim, AE, Flanagan, O, Murphy, N, Diez-Obrero, V, Shcherbina, A, Aglago, EK, Bouras, E, Campbell, PT, Casey, G, Gallinger, S, Gruber, SB, Jenkins, MA, Lin, Y, Moreno, V, Ruiz-Narvaez, E, Stern, MC, Tian, Y, Tsilidis, KK, Arndt, V, Barry, EL, Baurley, JW, Berndt, SI, Bezieau, S, Bien, SA, Bishop, DT, Brenner, H, Budiarto, A, Carreras-Torres, R, Cenggoro, TW, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, X, Conti, DV, Dampier, CH, Devall, M, Drew, DA, Figueiredo, JC, Giles, GG, Gsur, A, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jordahl, K, Kawaguchi, E, Keku, TO, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, J, Newcomb, PA, Newton, CC, Obon-Santacana, M, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Scacheri, PC, Schoen, RE, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Ulrich, CM, Um, CY, van Duijnhoven, FJB, Visvanathan, K, Vodicka, P, Vodickova, L, White, E, Wolk, A, Woods, MO, Qu, C, Kundaje, A, Hsu, L, Gauderman, WJ, Gunter, MJ, and Peters, U
- Abstract
BACKGROUND: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.
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- 2023
12. Genome-wide interaction analysis of folate for colorectal cancer risk
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Bouras, E, Kim, AE, Lin, Y, Morrison, J, Du, M, Albanes, D, Barry, EL, Baurley, JW, Berndt, SI, Bien, SA, Bishop, TD, Brenner, H, Budiarto, A, Burnett-Hartman, A, Campbell, PT, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chan, AT, Chang-Claude, J, Conti, DV, Cotterchio, M, Devall, M, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Giles, GG, Gruber, SB, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mannisto, S, Moreno, V, Murphy, N, Newcomb, PA, Obon-Santacana, M, Ose, J, Palmer, JR, Papadimitriou, N, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Qi, L, Qu, C, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Schmit, SL, Shcherbina, A, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Um, CY, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Wang, J, White, E, Wolk, A, Woods, MO, Ulrich, CM, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, Bouras, E, Kim, AE, Lin, Y, Morrison, J, Du, M, Albanes, D, Barry, EL, Baurley, JW, Berndt, SI, Bien, SA, Bishop, TD, Brenner, H, Budiarto, A, Burnett-Hartman, A, Campbell, PT, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chan, AT, Chang-Claude, J, Conti, DV, Cotterchio, M, Devall, M, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Giles, GG, Gruber, SB, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mannisto, S, Moreno, V, Murphy, N, Newcomb, PA, Obon-Santacana, M, Ose, J, Palmer, JR, Papadimitriou, N, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Qi, L, Qu, C, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Schmit, SL, Shcherbina, A, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Um, CY, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Wang, J, White, E, Wolk, A, Woods, MO, Ulrich, CM, Hsu, L, Gauderman, WJ, Peters, U, and Tsilidis, KK
- Abstract
BACKGROUND: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC. OBJECTIVES: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk. METHODS: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO). RESULTS: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10-8) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8). No interactions were observed for dietary and total folate. CONCLUSIONS: Variation in 3p25.2 locus may modify the assoc
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- 2023
13. Body mass index and molecular subtypes of colorectal cancer
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Murphy, N, Newton, CC, Song, M, Papadimitriou, N, Hoffmeister, M, Phipps, A, Harrison, TA, Newcomb, PA, Aglago, EK, Berndt, S, Brenner, H, Buchanan, DD, Cao, Y, Chan, AT, Chen, X, Cheng, I, Chang-Claude, J, Dimou, N, Drew, D, Farris, AB, French, AJ, Gallinger, S, Georgeson, P, Giannakis, M, Giles, GG, Gruber, SB, Harlid, S, Hsu, L, Huang, W-Y, Jenkins, MA, Laskar, RS, Le Marchand, L, Limburg, P, Lin, Y, Mandic, M, Nowak, JA, Obon-Santacana, M, Ogino, S, Qu, C, Sakoda, LC, Schoen, RE, Southey, MC, Stadler, ZK, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Trinh, QM, Tsilidis, KK, Ugai, T, Van Guelpen, B, Wang, X, Woods, MO, Zaidi, SH, Gunter, MJ, Peters, U, Campbell, PT, Murphy, N, Newton, CC, Song, M, Papadimitriou, N, Hoffmeister, M, Phipps, A, Harrison, TA, Newcomb, PA, Aglago, EK, Berndt, S, Brenner, H, Buchanan, DD, Cao, Y, Chan, AT, Chen, X, Cheng, I, Chang-Claude, J, Dimou, N, Drew, D, Farris, AB, French, AJ, Gallinger, S, Georgeson, P, Giannakis, M, Giles, GG, Gruber, SB, Harlid, S, Hsu, L, Huang, W-Y, Jenkins, MA, Laskar, RS, Le Marchand, L, Limburg, P, Lin, Y, Mandic, M, Nowak, JA, Obon-Santacana, M, Ogino, S, Qu, C, Sakoda, LC, Schoen, RE, Southey, MC, Stadler, ZK, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Trinh, QM, Tsilidis, KK, Ugai, T, Van Guelpen, B, Wang, X, Woods, MO, Zaidi, SH, Gunter, MJ, Peters, U, and Campbell, PT
- Abstract
BACKGROUND: Obesity is an established risk factor for colorectal cancer (CRC), but the evidence for the association is inconsistent across molecular subtypes of the disease. METHODS: We pooled data on body mass index (BMI), tumor microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, and Jass classification types for 11 872 CRC cases and 11 013 controls from 11 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for covariables. RESULTS: Higher BMI was associated with increased CRC risk (OR per 5 kg/m2 = 1.18, 95% CI = 1.15 to 1.22). The positive association was stronger for men than women but similar across tumor subtypes defined by individual molecular markers. In analyses by Jass type, higher BMI was associated with elevated CRC risk for types 1-4 cases but not for type 5 CRC cases (considered familial-like/Lynch syndrome microsatellite instability-H, CpG island methylator phenotype-low or negative, BRAF-wild type, KRAS-wild type, OR = 1.04, 95% CI = 0.90 to 1.20). This pattern of associations for BMI and Jass types was consistent by sex and design of contributing studies (cohort or case-control). CONCLUSIONS: In contrast to previous reports with fewer study participants, we found limited evidence of heterogeneity for the association between BMI and CRC risk according to molecular subtype, suggesting that obesity influences nearly all major pathways involved in colorectal carcinogenesis. The null association observed for the Jass type 5 suggests that BMI is not a risk factor for the development of CRC for individuals with Lynch syndrome.
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- 2023
14. Type-2 Diabetes Mellitus and Risk of Colorectal Polyps: A Colonoscopy-Based Study Using Natural Language Processing
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Hardikar, S, primary, Krick, B, additional, Benson, R, additional, Winn, M, additional, Winterton, C, additional, Newcomb, PA, additional, Inadomi, JM, additional, and Ulrich, CM, additional
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- 2022
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15. Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 cases
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Harlid, S, Van Guelpen, B, Qu, C, Gylling, B, Aglago, EK, Amitay, EL, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Moreno, V, Murphy, N, Newcomb, PA, Newton, CC, Nowak, JA, Obon-Santacana, M, Ogino, S, Potter, JD, Song, M, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Ugai, T, Um, CY, Woods, MO, Phipps, A, Harrison, T, Peters, U, Harlid, S, Van Guelpen, B, Qu, C, Gylling, B, Aglago, EK, Amitay, EL, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Drew, DA, Figueiredo, JC, French, AJ, Gallinger, S, Giannakis, M, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Moreno, V, Murphy, N, Newcomb, PA, Newton, CC, Nowak, JA, Obon-Santacana, M, Ogino, S, Potter, JD, Song, M, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Ugai, T, Um, CY, Woods, MO, Phipps, A, Harrison, T, and Peters, U
- Abstract
Diabetes is an established risk factor for colorectal cancer. However, colorectal cancer is a heterogeneous disease and it is not well understood whether diabetes is more strongly associated with some tumor molecular subtypes than others. A better understanding of the association between diabetes and colorectal cancer according to molecular subtypes could provide important insights into the biology of this association. We used data on lifestyle and clinical characteristics from the Colorectal Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), including 9756 colorectal cancer cases (with tumor marker data) and 9985 controls, to evaluate associations between reported diabetes and risk of colorectal cancer according to molecular subtypes. Tumor markers included BRAF and KRAS mutations, microsatellite instability and CpG island methylator phenotype. In the multinomial logistic regression model, comparing colorectal cancer cases to cancer-free controls, diabetes was positively associated with colorectal cancer regardless of subtype. The highest OR estimate was found for BRAF-mutated colorectal cancer, n = 1086 (ORfully adj : 1.67, 95% confidence intervals [CI]: 1.36-2.05), with an attenuated association observed between diabetes and colorectal cancer without BRAF-mutations, n = 7959 (ORfully adj : 1.33, 95% CI: 1.19-1.48). In the case only analysis, BRAF-mutation was differentially associated with diabetes (Pdifference = .03). For the other markers, associations with diabetes were similar across tumor subtypes. In conclusion, our study confirms the established association between diabetes and colorectal cancer risk, and suggests that it particularly increases the risk of BRAF-mutated tumors.
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- 2022
16. Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival
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Labadie, JD, Savas, S, Harrison, TA, Banbury, B, Huang, Y, Buchanan, DD, Campbell, PT, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Ogino, S, Phipps, A, Slattery, ML, Steinfelder, RS, Sun, W, Van Guelpen, B, Hua, X, Figuieredo, JC, Pai, RK, Nassir, R, Qi, L, Chan, AT, Peters, U, Newcomb, PA, Labadie, JD, Savas, S, Harrison, TA, Banbury, B, Huang, Y, Buchanan, DD, Campbell, PT, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Ogino, S, Phipps, A, Slattery, ML, Steinfelder, RS, Sun, W, Van Guelpen, B, Hua, X, Figuieredo, JC, Pai, RK, Nassir, R, Qi, L, Chan, AT, Peters, U, and Newcomb, PA
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Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10-8 to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30-1.69, p = 8.47 × 10-9) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65-2.77, p = 9.19 × 10-9 and rs144717887, HR = 2.01, 95% CI 1.57-2.58, p = 3.14 × 10-8), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings.
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- 2022
17. Urinary cadmium and risk of invasive breast cancer in the Women's Health Initiative
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La Croix, Andrea, La Croix, Andrea, Adams, SV, Shafer, MM, Bonner, MR, Manson, JE, Meliker, JR, Neuhouser, ML, Newcomb, PA, La Croix, Andrea, La Croix, Andrea, Adams, SV, Shafer, MM, Bonner, MR, Manson, JE, Meliker, JR, Neuhouser, ML, and Newcomb, PA
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- 2022
18. Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium
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Moller, P, Seppala, T, Dowty, JG, Haupt, S, Dominguez-Valentin, M, Sunde, L, Bernstein, I, Engel, C, Aretz, S, Nielsen, M, Capella, G, Evans, DG, Burn, J, Holinski-Feder, E, Bertario, L, Bonanni, B, Lindblom, A, Levi, Z, Macrae, F, Winship, I, Plazzer, J-P, Sijmons, R, Laghi, L, Della Valle, A, Heinimann, K, Half, E, Lopez-Koestner, F, Alvarez-Valenzuela, K, Scott, RJ, Katz, L, Laish, I, Vainer, E, Vaccaro, CA, Carraro, DM, Gluck, N, Abu-Freha, N, Stakelum, A, Kennelly, R, Winter, D, Rossi, BM, Greenblatt, M, Bohorquez, M, Sheth, H, Tibiletti, MG, Lino-Silva, LS, Horisberger, K, Portenkirchner, C, Nascimento, I, Rossi, NT, da Silva, LA, Thomas, H, Zarand, A, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Therkildsen, C, Lindberg, LJ, Thorlacius-Ussing, O, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Steinke-Lange, V, Schmiegel, W, Vangala, D, Perne, C, Hueneburg, R, de Vargas, AF, Latchford, A, Gerdes, A-M, Backman, A-S, Guillen-Ponce, C, Snyder, C, Lautrup, CK, Amor, D, Palmero, E, Stoffel, E, Duijkers, F, Hall, MJ, Hampel, H, Williams, H, Okkels, H, Lubinski, J, Reece, J, Ngeow, J, Guillem, JG, Arnold, J, Wadt, K, Monahan, K, Senter, L, Rasmussen, LJ, van Hest, LP, Ricciardiello, L, Kohonen-Corish, MRJ, Ligtenberg, MJL, Southey, M, Aronson, M, Zahary, MN, Samadder, NJ, Poplawski, N, Hoogerbrugge, N, Morrison, PJ, James, P, Lee, G, Chen-Shtoyerman, R, Ankathil, R, Pai, R, Ward, R, Parry, S, Debniak, T, John, T, van Overeem Hansen, T, Caldes, T, Yamaguchi, T, Barca-Tierno, V, Garre, P, Cavestro, GM, Weitz, J, Redler, S, Buettner, R, Heuveline, V, Hopper, JL, Win, AK, Lindor, N, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, J, Buchanan, DD, Thibodeau, SN, ten Broeke, SW, Hovig, E, Nakken, S, Pineda, M, Duenas, N, Brunet, J, Green, K, Lalloo, F, Newton, K, Crosbie, EJ, Mints, M, Tjandra, D, Neffa, F, Esperon, P, Kariv, R, Rosner, G, Pavicic, WH, Kalfayan, P, Torrezan, GT, Bassaneze, T, Martin, C, Moslein, G, Ahadova, A, Kloor, M, Sampson, JR, Jenkins, MA, Moller, P, Seppala, T, Dowty, JG, Haupt, S, Dominguez-Valentin, M, Sunde, L, Bernstein, I, Engel, C, Aretz, S, Nielsen, M, Capella, G, Evans, DG, Burn, J, Holinski-Feder, E, Bertario, L, Bonanni, B, Lindblom, A, Levi, Z, Macrae, F, Winship, I, Plazzer, J-P, Sijmons, R, Laghi, L, Della Valle, A, Heinimann, K, Half, E, Lopez-Koestner, F, Alvarez-Valenzuela, K, Scott, RJ, Katz, L, Laish, I, Vainer, E, Vaccaro, CA, Carraro, DM, Gluck, N, Abu-Freha, N, Stakelum, A, Kennelly, R, Winter, D, Rossi, BM, Greenblatt, M, Bohorquez, M, Sheth, H, Tibiletti, MG, Lino-Silva, LS, Horisberger, K, Portenkirchner, C, Nascimento, I, Rossi, NT, da Silva, LA, Thomas, H, Zarand, A, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Therkildsen, C, Lindberg, LJ, Thorlacius-Ussing, O, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Steinke-Lange, V, Schmiegel, W, Vangala, D, Perne, C, Hueneburg, R, de Vargas, AF, Latchford, A, Gerdes, A-M, Backman, A-S, Guillen-Ponce, C, Snyder, C, Lautrup, CK, Amor, D, Palmero, E, Stoffel, E, Duijkers, F, Hall, MJ, Hampel, H, Williams, H, Okkels, H, Lubinski, J, Reece, J, Ngeow, J, Guillem, JG, Arnold, J, Wadt, K, Monahan, K, Senter, L, Rasmussen, LJ, van Hest, LP, Ricciardiello, L, Kohonen-Corish, MRJ, Ligtenberg, MJL, Southey, M, Aronson, M, Zahary, MN, Samadder, NJ, Poplawski, N, Hoogerbrugge, N, Morrison, PJ, James, P, Lee, G, Chen-Shtoyerman, R, Ankathil, R, Pai, R, Ward, R, Parry, S, Debniak, T, John, T, van Overeem Hansen, T, Caldes, T, Yamaguchi, T, Barca-Tierno, V, Garre, P, Cavestro, GM, Weitz, J, Redler, S, Buettner, R, Heuveline, V, Hopper, JL, Win, AK, Lindor, N, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, J, Buchanan, DD, Thibodeau, SN, ten Broeke, SW, Hovig, E, Nakken, S, Pineda, M, Duenas, N, Brunet, J, Green, K, Lalloo, F, Newton, K, Crosbie, EJ, Mints, M, Tjandra, D, Neffa, F, Esperon, P, Kariv, R, Rosner, G, Pavicic, WH, Kalfayan, P, Torrezan, GT, Bassaneze, T, Martin, C, Moslein, G, Ahadova, A, Kloor, M, Sampson, JR, and Jenkins, MA
- Abstract
OBJECTIVE: To compare colorectal cancer (CRC) incidences in carriers of pathogenic variants of the MMR genes in the PLSD and IMRC cohorts, of which only the former included mandatory colonoscopy surveillance for all participants. METHODS: CRC incidences were calculated in an intervention group comprising a cohort of confirmed carriers of pathogenic or likely pathogenic variants in mismatch repair genes (path_MMR) followed prospectively by the Prospective Lynch Syndrome Database (PLSD). All had colonoscopy surveillance, with polypectomy when polyps were identified. Comparison was made with a retrospective cohort reported by the International Mismatch Repair Consortium (IMRC). This comprised confirmed and inferred path_MMR carriers who were first- or second-degree relatives of Lynch syndrome probands. RESULTS: In the PLSD, 8,153 subjects had follow-up colonoscopy surveillance for a total of 67,604 years and 578 carriers had CRC diagnosed. Average cumulative incidences of CRC in path_MLH1 carriers at 70 years of age were 52% in males and 41% in females; for path_MSH2 50% and 39%; for path_MSH6 13% and 17% and for path_PMS2 11% and 8%. In contrast, in the IMRC cohort, corresponding cumulative incidences were 40% and 27%; 34% and 23%; 16% and 8% and 7% and 6%. Comparing just the European carriers in the two series gave similar findings. Numbers in the PLSD series did not allow comparisons of carriers from other continents separately. Cumulative incidences at 25 years were < 1% in all retrospective groups. CONCLUSIONS: Prospectively observed CRC incidences (PLSD) in path_MLH1 and path_MSH2 carriers undergoing colonoscopy surveillance and polypectomy were higher than in the retrospective (IMRC) series, and were not reduced in path_MSH6 carriers. These findings were the opposite to those expected. CRC point incidence before 50 years of age was reduced in path_PMS2 carriers subjected to colonoscopy, but not significantly so.
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- 2022
19. Association between germline variants and somatic mutations in colorectal cancer.
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Barfield, R, Qu, C, Steinfelder, RS, Zeng, C, Harrison, TA, Brezina, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, S, Giannakis, M, Gruber, SB, Gsur, A, Hsu, L, Huyghe, JR, Moreno, V, Newcomb, PA, Ogino, S, Phipps, AI, Slattery, ML, Thibodeau, SN, Trinh, QM, Toland, AE, Hudson, TJ, Sun, W, Zaidi, SH, Peters, U, Barfield, R, Qu, C, Steinfelder, RS, Zeng, C, Harrison, TA, Brezina, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, S, Giannakis, M, Gruber, SB, Gsur, A, Hsu, L, Huyghe, JR, Moreno, V, Newcomb, PA, Ogino, S, Phipps, AI, Slattery, ML, Thibodeau, SN, Trinh, QM, Toland, AE, Hudson, TJ, Sun, W, Zaidi, SH, and Peters, U
- Abstract
Colorectal cancer (CRC) is a heterogeneous disease with evidence of distinct tumor types that develop through different somatically altered pathways. To better understand the impact of the host genome on somatically mutated genes and pathways, we assessed associations of germline variations with somatic events via two complementary approaches. We first analyzed the association between individual germline genetic variants and the presence of non-silent somatic mutations in genes in 1375 CRC cases with genome-wide SNPs data and a tumor sequencing panel targeting 205 genes. In the second analysis, we tested if germline variants located within previously identified regions of somatic allelic imbalance were associated with overall CRC risk using summary statistics from a recent large scale GWAS (n≃125 k CRC cases and controls). The first analysis revealed that a variant (rs78963230) located within a CNA region associated with TLR3 was also associated with a non-silent mutation within gene FBXW7. In the secondary analysis, the variant rs2302274 located in CDX1/PDGFRB frequently gained/lost in colorectal tumors was associated with overall CRC risk (OR = 0.96, p = 7.50e-7). In summary, we demonstrate that an integrative analysis of somatic and germline variation can lead to new insights about CRC.
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- 2022
20. Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations
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Huang, Y, Hua, X, Labadie, JD, Harrison, TA, Dai, JY, Lindstrom, S, Lin, Y, Berndt, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, SJ, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Sakoda, LC, Schoen, RE, Diergaarde, B, Slattery, ML, White, E, Giles, G, Brenner, H, Chang-Claude, J, Joshi, A, Ma, W, Pai, RK, Chan, AT, Peters, U, Newcomb, PA, Huang, Y, Hua, X, Labadie, JD, Harrison, TA, Dai, JY, Lindstrom, S, Lin, Y, Berndt, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, SJ, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Sakoda, LC, Schoen, RE, Diergaarde, B, Slattery, ML, White, E, Giles, G, Brenner, H, Chang-Claude, J, Joshi, A, Ma, W, Pai, RK, Chan, AT, Peters, U, and Newcomb, PA
- Abstract
Elevated blood levels of C-reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC-specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI-EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC-specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow-up, 3547 (64.8%) were due to CRC. No variants were associated with CRC-specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC-specific mortality (corrected Pinteraction = .0004); women had higher CRC-specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04-1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82-0.94). There was no evidence of interactions between CRP-associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP-associated variant in relation to CRC-specific mortality. Future replication of this association and functional annotation of the variant are needed.
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- 2022
21. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
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Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, Hsu, L, Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, and Hsu, L
- Abstract
Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
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- 2022
22. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk
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Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J
- Abstract
BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
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- 2022
23. Association analyses identify 31 new risk loci for colorectal cancer susceptibility
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Law, PJ, Timofeeva, M, Fernandez-Rozadilla, C, Broderick, P, Studd, J, Fernandez-Tajes, J, Farrington, S, Svinti, V, Palles, C, Orlando, G, Sud, A, Holroyd, A, Penegar, S, Theodoratou, E, Vaughan-Shaw, P, Campbell, H, Zgaga, L, Hayward, C, Campbell, A, Harris, S, Deary, IJ, Starr, J, Gatcombe, L, Pinna, M, Briggs, S, Martin, L, Jaeger, E, Sharma-Oates, A, East, J, Leedham, S, Arnold, R, Johnstone, E, Wang, H, Kerr, D, Kerr, R, Maughan, T, Kaplan, R, Al-Tassan, N, Palin, K, Hänninen, UA, Cajuso, T, Tanskanen, T, Kondelin, J, Kaasinen, E, Sarin, A-P, Eriksson, JG, Rissanen, H, Knekt, P, Pukkala, E, Jousilahti, P, Salomaa, V, Ripatti, S, Palotie, A, Renkonen-Sinisalo, L, Lepistö, A, Böhm, J, Mecklin, J-P, Buchanan, DD, Win, A-K, Hopper, J, Jenkins, ME, Lindor, NM, Newcomb, PA, Gallinger, S, Duggan, D, Casey, G, Hoffmann, P, Nöthen, MM, Jöckel, K-H, Easton, DF, Pharoah, PDP, Peto, J, Canzian, F, Swerdlow, A, Eeles, RA, Kote-Jarai, Z, Muir, K, Pashayan, N, Consortium, Practical, Harkin, A, Allan, K, McQueen, J, Paul, J, Iveson, T, Saunders, M, Butterbach, K, Chang-Claude, J, Hoffmeister, M, Brenner, H, Kirac, I, Matošević, P, Hofer, P, Brezina, S, Gsur, A, Cheadle, JP, Aaltonen, LA, Tomlinson, I, Houlston, RS, Dunlop, MG, Law, Philip J [0000-0001-9663-4611], Timofeeva, Maria [0000-0002-2503-4253], Fernandez-Rozadilla, Ceres [0000-0001-7330-4804], Broderick, Peter [0000-0002-8348-5829], Studd, James [0000-0002-7157-754X], Farrington, Susan [0000-0001-5955-7389], Svinti, Victoria [0000-0001-9926-0416], Sud, Amit [0000-0002-6133-0164], Hayward, Caroline [0000-0002-9405-9550], Campbell, Archie [0000-0003-0198-5078], Martin, Lynn [0000-0003-3962-389X], East, James [0000-0001-8035-3700], Kaplan, Richard [0000-0002-0189-8348], Al-Tassan, Nada [0000-0001-9076-0334], Palin, Kimmo [0000-0002-4621-6128], Salomaa, Veikko [0000-0001-7563-5324], Buchanan, Daniel D [0000-0003-2225-6675], Win, Aung-Ko [0000-0002-2794-5261], Jenkins, Mark E [0000-0002-8964-6160], Easton, Douglas F [0000-0003-2444-3247], Pharoah, Paul DP [0000-0001-8494-732X], Eeles, Rosalind A [0000-0002-3698-6241], Muir, Kenneth [0000-0001-6429-988X], Pashayan, Nora [0000-0003-0843-2468], Harkin, Andrea [0000-0002-8831-7381], Paul, James [0000-0001-7367-5816], Hofer, Philipp [0000-0003-2550-6019], Brezina, Stefanie [0000-0001-5238-6900], Cheadle, Jeremy P [0000-0001-9453-8458], Tomlinson, Ian [0000-0003-3037-1470], Houlston, Richard S [0000-0002-5268-0242], and Apollo - University of Cambridge Repository
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Male ,Science ,Inheritance Patterns ,cancer genetics ,Datasets as Topic ,colorectal cancer ,Genome-wide association studies ,Polymorphism, Single Nucleotide ,Article ,White People ,Asian People ,Risk Factors ,Cancer genomics ,Humans ,Genetic Predisposition to Disease ,lcsh:Science ,Cancer genetics ,neoplasms ,cancer genomics ,genomiikka ,Middle Aged ,Colorectal cancer ,digestive system diseases ,peräsuolisyöpä ,syöpägeenit ,Genetic Loci ,Case-Control Studies ,genome-wide association studies ,lcsh:Q ,syöpätaudit ,Female ,Colorectal Neoplasms ,Genome-Wide Association Study - Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, and has a strong heritable basis. We report a genome-wide association analysis of 34,627 CRC cases and 71,379 controls of European ancestry that identifies SNPs at 31 new CRC risk loci. We also identify eight independent risk SNPs at the new and previously reported European CRC loci, and a further nine CRC SNPs at loci previously only identified in Asian populations. We use in situ promoter capture Hi-C (CHi-C), gene expression, and in silico annotation methods to identify likely target genes of CRC SNPs. Whilst these new SNP associations implicate target genes that are enriched for known CRC pathways such as Wnt and BMP, they also highlight novel pathways with no prior links to colorectal tumourigenesis. These findings provide further insight into CRC susceptibility and enhance the prospects of applying genetic risk scores to personalised screening and prevention., In colorectal cancer (CRC), finding loci associated with risk may give insight into disease aetiology. Here, the authors report a genome-wide association analysis in Europeans of 34,627 CRC cases and 71,379 controls, and find 31 new risk loci and 17 new risk SNPs at previously reported loci.
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- 2019
24. Genetically Predicted Circulating C-Reactive Protein Concentration and Colorectal Cancer Survival: A Mendelian Randomization Consortium Study
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Hua, X, Dai, JY, Lindstrom, S, Harrison, TA, Lin, Y, Alberts, SR, Alwers, E, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Casey, G, Chang-Claude, J, Gallinger, S, Giles, GG, Goldberg, RM, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Ma, W, Milne, RL, Murphy, N, Pai, RK, Sakoda, LC, Schoen, RE, Shi, Q, Slattery, ML, Song, M, White, E, Le Marchand, L, Chan, AT, Peters, U, Newcomb, PA, Hua, X, Dai, JY, Lindstrom, S, Harrison, TA, Lin, Y, Alberts, SR, Alwers, E, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Casey, G, Chang-Claude, J, Gallinger, S, Giles, GG, Goldberg, RM, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Ma, W, Milne, RL, Murphy, N, Pai, RK, Sakoda, LC, Schoen, RE, Shi, Q, Slattery, ML, Song, M, White, E, Le Marchand, L, Chan, AT, Peters, U, and Newcomb, PA
- Abstract
BACKGROUND: A positive association between circulating C-reactive protein (CRP) and colorectal cancer survival was reported in observational studies, which are susceptible to unmeasured confounding and reverse causality. We used a Mendelian randomization approach to evaluate the association between genetically predicted CRP concentrations and colorectal cancer-specific survival. METHODS: We used individual-level data for 16,918 eligible colorectal cancer cases of European ancestry from 15 studies within the International Survival Analysis of Colorectal Cancer Consortium. We calculated a genetic-risk score based on 52 CRP-associated genetic variants identified from genome-wide association studies. Because of the non-collapsibility of hazard ratios from Cox proportional hazards models, we used the additive hazards model to calculate hazard differences (HD) and 95% confidence intervals (CI) for the association between genetically predicted CRP concentrations and colorectal cancer-specific survival, overall and by stage at diagnosis and tumor location. Analyses were adjusted for age at diagnosis, sex, body mass index, genotyping platform, study, and principal components. RESULTS: Of the 5,395 (32%) deaths accrued over up to 10 years of follow-up, 3,808 (23%) were due to colorectal cancer. Genetically predicted CRP concentration was not associated with colorectal cancer-specific survival (HD, -1.15; 95% CI, -2.76 to 0.47 per 100,000 person-years; P = 0.16). Similarly, no associations were observed in subgroup analyses by stage at diagnosis or tumor location. CONCLUSIONS: Despite adequate power to detect moderate associations, our results did not support a causal effect of circulating CRP concentrations on colorectal cancer-specific survival. IMPACT: Future research evaluating genetically determined levels of other circulating inflammatory biomarkers (i.e., IL6) with colorectal cancer survival outcomes is needed.
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- 2021
25. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer
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Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, and Hayes, RB
- Abstract
BACKGROUND: Incidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite. METHODS: Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite. RESULTS: Early-onset CRC was associated with not regularly using nonsteroidal anti-inflammatory drugs (OR = 1.43, 95% CI = 1.21 to 1.68), greater red meat intake (OR = 1.10, 95% CI = 1.04 to 1.16), lower educational attainment (OR = 1.10, 95% CI = 1.04 to 1.16), alcohol abstinence (OR = 1.23, 95% CI = 1.08 to 1.39), and heavier alcohol use (OR = 1.25, 95% CI = 1.04 to 1.50). No factors exhibited a greater excess in early-onset compared with late-onset CRC. Evaluating risks by anatomic subsite, we found that lower total fiber intake was linked more strongly to rectal (OR = 1.30, 95% CI = 1.14 to 1.48) than colon cancer (OR = 1.14, 95% CI = 1.02 to 1.27; P = .04). CONCLUSION: In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.
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- 2021
26. Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study
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Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, Relton, CL, Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, and Relton, CL
- Abstract
Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin-use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR: 1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI: 0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.
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- 2021
27. Association Between Smoking and Molecular Subtypes of Colorectal Cancer
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Wang, X, Amitay, E, Harrison, TA, Banbury, BL, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Gallinger, SJ, Giannakis, M, Giles, GG, Gunter, MJ, Hopper, JL, Jenkins, MA, Lin, Y, Moreno, V, Nishihara, R, Newcomb, PA, Ogino, S, Phipps, A, Sakoda, LC, Schoen, RE, Slattery, ML, Song, M, Sun, W, Thibodeau, SN, Toland, AE, Van Guelpen, B, Woods, MO, Hsu, L, Hoffmeister, M, Peters, U, Wang, X, Amitay, E, Harrison, TA, Banbury, BL, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Gallinger, SJ, Giannakis, M, Giles, GG, Gunter, MJ, Hopper, JL, Jenkins, MA, Lin, Y, Moreno, V, Nishihara, R, Newcomb, PA, Ogino, S, Phipps, A, Sakoda, LC, Schoen, RE, Slattery, ML, Song, M, Sun, W, Thibodeau, SN, Toland, AE, Van Guelpen, B, Woods, MO, Hsu, L, Hoffmeister, M, and Peters, U
- Abstract
BACKGROUND: Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. METHODS: A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study-specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. RESULTS: Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (P trend < .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; P difference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (P difference < .001). CONCLUSION: Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.
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- 2021
28. Associations of Height With the Risks of Colorectal and Endometrial Cancer in Persons With Lynch Syndrome
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Brouwer, JGM, Newcomb, PA, Bisseling, TM, Figueiredo, JC, Hopper, JL, Jenkins, MA, Koornstra, JJ, Lindor, NM, Vasen, HFA, Win, AK, Kampman, E, van Duijnhoven, FJB, Brouwer, JGM, Newcomb, PA, Bisseling, TM, Figueiredo, JC, Hopper, JL, Jenkins, MA, Koornstra, JJ, Lindor, NM, Vasen, HFA, Win, AK, Kampman, E, and van Duijnhoven, FJB
- Abstract
Persons with Lynch syndrome (LS - carrying a pathogenic mutation in a DNA mismatch repair gene) have an increased colorectal cancer (CRC) and endometrial cancer (EC) risk. A high reported variability in cancer risk suggests the existence of factors that modify cancer risk for LS. We aimed to investigate the association between height and CRC and EC for persons with LS using two large studies. Information of 1,213 men and 1,636 women with LS from the Colon Cancer Family Registry (1998-2007) and the GEOLynch cohort study (2006-2017) was harmonized. We used weighted Cox proportional hazard regression models with age on the time-axis to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for each 5 cm increment in self-reported height. CRC was diagnosed in 947 persons during 65,369 person-years of observation and 171 women were diagnosed with EC during 39,227 person-years of observation. Height was not associated with CRC for men (HR 1.00 per 5 cm, 95%CI: 0.91, 1.11) or women (HR 1.01 per 5 cm, 95%CI: 0.92, 1.11). Nor was height associated with EC (HR 1.08 per 5 cm, 95%CI: 0.94, 1.24). Hence, we observed no evidence for an association of height with either CRC or EC for persons with LS.
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- 2021
29. DNA methylation-based signature of CD8+tumor-infiltrating lymphocytes enables evaluation of immune response and prognosis in colorectal cancer
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Zou, Q, Wang, X, Ren, D, Hu, B, Tang, G, Zhang, Y, Huang, M, Pai, RK, Buchanan, DD, Win, AK, Newcomb, PA, Grady, WM, Yu, H, Luo, Y, Zou, Q, Wang, X, Ren, D, Hu, B, Tang, G, Zhang, Y, Huang, M, Pai, RK, Buchanan, DD, Win, AK, Newcomb, PA, Grady, WM, Yu, H, and Luo, Y
- Abstract
BACKGROUND: Tumor-infiltrating lymphocytes (TILs), especially CD8+ TILs, can be used for predicting immunotherapy responsiveness and survival outcome. However, the evaluation of CD8+ TILs currently relies on histopathological methodology with high variability. We therefore aimed to develop a DNA methylation signature for CD8+ TILs (CD8+ MeTIL) that could evaluate immune response and prognosis in colorectal cancer (CRC). METHODS: A CD8+ MeTIL signature score was constructed by using CD8+ T cell-specific differentially methylated positions (DMPs) that were identified from Illumina EPIC methylation arrays. Immune cells, colon epithelial cells, and two CRC cohorts (n=282 and 335) were used to develop a PCR-based assay for quantitative analysis of DNA methylation at single-base resolution (QASM) to determine CD8 + MeTIL signature score. RESULTS: Three CD8+ T cell-specific DMPs were identified to construct the CD8+ MeTIL signature score, which showed a dramatic discriminability between CD8+ T cells and other cells. The QASM assay we developed for CD8+ MeTIL markers could measure CD8+ TILs distributions in a fully quantitative, accurate, and simple manner. The CD8+ MeTIL score determined by QASM assay showed a strong association with histopathology-based CD8+ TIL counts and a gene expression-based immune marker. Furthermore, the low CD8+ MeTIL score (enriched CD8+ TILs) was associated with MSI-H tumors and predicted better survival in CRC cohorts. CONCLUSIONS: This study developed a quantitative DNA methylation-based signature that was reliable to evaluate CD8+ TILs and prognosis in CRC. This approach has the potential to be a tool for investigations on CD8+ TILs and a biomarker for therapeutic approaches, including immunotherapy.
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- 2021
30. Uptake of hysterectomy and bilateral salpingooophorectomy in carriers of pathogenic mismatch repair variants: a Prospective Lynch Syndrome Database report
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Seppala, TT, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Vida, JB, Kariv, R, Rosner, G, Pinero, TA, Pavicic, W, Kalfayan, P, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Redler, S, Weitz, J, Pylvaenaeinen, K, Renkonen-Sinisalo, L, Lepisto, A, Hopper, JL, Win, AK, Lindor, NM, Gallinger, S, Marchand, LL, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Wadt, KAW, Mourits, MJE, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Rokkones, E, Sampson, JR, Evans, DG, Moller, P, Seppala, TT, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Vida, JB, Kariv, R, Rosner, G, Pinero, TA, Pavicic, W, Kalfayan, P, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Redler, S, Weitz, J, Pylvaenaeinen, K, Renkonen-Sinisalo, L, Lepisto, A, Hopper, JL, Win, AK, Lindor, NM, Gallinger, S, Marchand, LL, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Wadt, KAW, Mourits, MJE, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Rokkones, E, Sampson, JR, Evans, DG, and Moller, P
- Abstract
PURPOSE: This study aimed to report the uptake of hysterectomy and/or bilateral salpingo-oophorectomy (BSO) to prevent gynaecological cancers (risk-reducing surgery [RRS]) in carriers of pathogenic MMR (path_MMR) variants. METHODS: The Prospective Lynch Syndrome Database (PLSD) was used to investigate RRS by a cross-sectional study in 2292 female path_MMR carriers aged 30-69 years. RESULTS: Overall, 144, 79, and 517 carriers underwent risk-reducing hysterectomy, BSO, or both combined, respectively. Two-thirds of procedures before 50 years of age were combined hysterectomy and BSO, and 81% of all procedures included BSO. Risk-reducing hysterectomy was performed before age 50 years in 28%, 25%, 15%, and 9%, and BSO in 26%, 25%, 14% and 13% of path_MLH1, path_MSH2, path_MSH6, and path_PMS2 carriers, respectively. Before 50 years of age, 107 of 188 (57%) BSO and 126 of 204 (62%) hysterectomies were performed in women without any prior cancer, and only 5% (20/392) were performed simultaneously with colorectal cancer (CRC) surgery. CONCLUSION: Uptake of RRS before 50 years of age was low, and RRS was rarely undertaken in association with surgical treatment of CRC. Uptake of RRS aligned poorly with gene- and age-associated risk estimates for endometrial or ovarian cancer that were published recently from PLSD and did not correspond well with current clinical guidelines. The reasons should be clarified. Decision-making on opting for or against RRS and its timing should be better aligned with predicted risk and mortality for endometrial and ovarian cancer in Lynch syndrome to improve outcomes.
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- 2021
31. Risk-reducing hysterectomy and bilateral salpingo-oophorectomy in female heterozygotes of pathogenic mismatch repair variants: a Prospective Lynch Syndrome Database report
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Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Nakken, S, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Brunet Vidal, J, Kariv, R, Rosner, G, Alejandra Pinero, T, Laura Gonzalez, M, Kalfayan, P, Ryan, N, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Auranen, A, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Okkels, H, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Sampson, JR, Evans, DG, Seppala, TT, Moller, P, Dominguez-Valentin, M, Crosbie, EJ, Engel, C, Aretz, S, Macrae, F, Winship, I, Capella, G, Thomas, H, Nakken, S, Hovig, E, Nielsen, M, Sijmons, RH, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Mints, M, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Green, K, Lalloo, F, Hill, J, Schmiegel, W, Vangala, D, Perne, C, Strauss, H-G, Tecklenburg, J, Holinski-Feder, E, Steinke-Lange, V, Mecklin, J-P, Plazzer, J-P, Pineda, M, Navarro, M, Brunet Vidal, J, Kariv, R, Rosner, G, Alejandra Pinero, T, Laura Gonzalez, M, Kalfayan, P, Ryan, N, Ten Broeke, SW, Jenkins, MA, Sunde, L, Bernstein, I, Burn, J, Greenblatt, M, Cappel, WHDVTN, Della Valle, A, Lopez-Koestner, F, Alvarez, K, Buettner, R, Goergens, H, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Auranen, A, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Okkels, H, Ketabi, Z, Denton, OG, Rodland, EA, Vasen, H, Neffa, F, Esperon, P, Tjandra, D, Moeslein, G, Sampson, JR, Evans, DG, Seppala, TT, and Moller, P
- Abstract
PURPOSE: To determine impact of risk-reducing hysterectomy and bilateral salpingo-oophorectomy (BSO) on gynecological cancer incidence and death in heterozygotes of pathogenic MMR (path_MMR) variants. METHODS: The Prospective Lynch Syndrome Database was used to investigate the effects of gynecological risk-reducing surgery (RRS) at different ages. RESULTS: Risk-reducing hysterectomy at 25 years of age prevents endometrial cancer before 50 years in 15%, 18%, 13%, and 0% of path_MLH1, path_MSH2, path_MSH6, and path_PMS2 heterozygotes and death in 2%, 2%, 1%, and 0%, respectively. Risk-reducing BSO at 25 years of age prevents ovarian cancer before 50 years in 6%, 11%, 2%, and 0% and death in 1%, 2%, 0%, and 0%, respectively. Risk-reducing hysterectomy at 40 years prevents endometrial cancer by 50 years in 13%, 16%, 11%, and 0% and death in 1%, 2%, 1%, and 0%, respectively. BSO at 40 years prevents ovarian cancer before 50 years in 4%, 8%, 0%, and 0%, and death in 1%, 1%, 0%, and 0%, respectively. CONCLUSION: Little benefit is gained by performing RRS before 40 years of age and premenopausal BSO in path_MSH6 and path_PMS2 heterozygotes has no measurable benefit for mortality. These findings may aid decision making for women with LS who are considering RRS.
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- 2021
32. Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer
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Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, Hopper, JL, Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, and Hopper, JL
- Abstract
It was not known whether the polygenic risk scores (PRSs) that predict colorectal cancer could predict colorectal cancer for people with inherited pathogenic variants in DNA mismatch repair genes-people with Lynch syndrome. We tested a PRS comprising 107 established single-nucleotide polymorphisms associated with colorectal cancer in European populations for 826 European-descent carriers of pathogenic variants in DNA mismatch repair genes (293 MLH1, 314 MSH2, 126 MSH6, 71 PMS2, and 22 EPCAM) from the Colon Cancer Family Registry, of whom 504 had colorectal cancer. There was no evidence of an association between the PRS and colorectal cancer risk, irrespective of which DNA mismatch repair gene was mutated, or sex (all 2-sided P > .05). The hazard ratio per standard deviation of the PRS for colorectal cancer was 0.97 (95% confidence interval = 0.88 to 1.06; 2-sided P = .51). Whereas PRSs are predictive of colorectal cancer in the general population, they do not predict Lynch syndrome colorectal cancer.
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- 2021
33. Genetic architectures of proximal and distal colorectal cancer are partly distinct
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Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, Peters, U, Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, and Peters, U
- Abstract
OBJECTIVE: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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- 2021
34. No Difference in Penetrance between Truncating and Missense/Aberrant Splicing Pathogenic Variants in MLH1 and MSH2: A Prospective Lynch Syndrome Database Study
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Dominguez-Valentin, M, Plazzer, J-P, Sampson, JR, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Macrae, F, Winship, IM, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Cappel, WHDVTN, Sijmons, RH, Nielsen, M, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Alvarez, K, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Nakken, S, Hovig, E, Green, K, Lalloo, F, Hill, J, Vasen, HFA, Perne, C, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Steinke-Lange, V, Schmiegel, W, Vangala, D, Crosbie, EJ, Pineda, M, Navarro, M, Brunet, J, Moreira, L, Sanchez, A, Serra-Burriel, M, Mints, M, Kariv, R, Rosner, G, Pinero, TA, Pavicic, WH, Kalfayan, P, ten Broeke, SW, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Hopper, JL, Win, AK, Buchanan, DD, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Hansen, TVO, Lindberg, L, Rodland, EA, Neffa, F, Esperon, P, Tjandra, D, Moslein, G, Seppala, TT, Moller, P, Dominguez-Valentin, M, Plazzer, J-P, Sampson, JR, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Macrae, F, Winship, IM, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Cappel, WHDVTN, Sijmons, RH, Nielsen, M, Bertario, L, Bonanni, B, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Alvarez, K, Gluck, N, Katz, L, Heinimann, K, Vaccaro, CA, Nakken, S, Hovig, E, Green, K, Lalloo, F, Hill, J, Vasen, HFA, Perne, C, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, Doeberitz, MVK, Loeffler, M, Rahner, N, Weitz, J, Steinke-Lange, V, Schmiegel, W, Vangala, D, Crosbie, EJ, Pineda, M, Navarro, M, Brunet, J, Moreira, L, Sanchez, A, Serra-Burriel, M, Mints, M, Kariv, R, Rosner, G, Pinero, TA, Pavicic, WH, Kalfayan, P, ten Broeke, SW, Mecklin, J-P, Pylvanainen, K, Renkonen-Sinisalo, L, Lepisto, A, Peltomaki, P, Hopper, JL, Win, AK, Buchanan, DD, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Therkildsen, C, Hansen, TVO, Lindberg, L, Rodland, EA, Neffa, F, Esperon, P, Tjandra, D, Moslein, G, Seppala, TT, and Moller, P
- Abstract
BACKGROUND: Lynch syndrome is the most common genetic predisposition for hereditary cancer. Carriers of pathogenic changes in mismatch repair (MMR) genes have an increased risk of developing colorectal (CRC), endometrial, ovarian, urinary tract, prostate, and other cancers, depending on which gene is malfunctioning. In Lynch syndrome, differences in cancer incidence (penetrance) according to the gene involved have led to the stratification of cancer surveillance. By contrast, any differences in penetrance determined by the type of pathogenic variant remain unknown. OBJECTIVE: To determine cumulative incidences of cancer in carriers of truncating and missense or aberrant splicing pathogenic variants of the MLH1 and MSH2 genes. METHODS: Carriers of pathogenic variants of MLH1 (path_MLH1) and MSH2 (path_MSH2) genes filed in the Prospective Lynch Syndrome Database (PLSD) were categorized as truncating or missense/aberrant splicing according to the InSiGHT criteria for pathogenicity. RESULTS: Among 5199 carriers, 1045 had missense or aberrant splicing variants, and 3930 had truncating variants. Prospective observation years for the two groups were 8205 and 34,141 years, respectively, after which there were no significant differences in incidences for cancer overall or for colorectal cancer or endometrial cancers separately. CONCLUSION: Truncating and missense or aberrant splicing pathogenic variants were associated with similar average cumulative incidences of cancer in carriers of path MLH1 and path_MSH2.
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- 2021
35. Do the risks of Lynch syndrome-related cancers depend on the parent-of-origin of the mutation?
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Gemechu, S, van Vliet, CM, Win, AK, Figueiredo, JC, Le Marchand, L, Gallinger, S, Newcomb, PA, Hopper, JL, Lindor, NM, Jenkins, MA, Dowty, JG, Gemechu, S, van Vliet, CM, Win, AK, Figueiredo, JC, Le Marchand, L, Gallinger, S, Newcomb, PA, Hopper, JL, Lindor, NM, Jenkins, MA, and Dowty, JG
- Abstract
Background Individuals who carry pathogenic mutations in DNA mismatch repair (MMR) genes have high risks of cancer, and small studies have suggested that these risks depend on the sex of the parent from whom the mutation was inherited. We have conducted the first large study of such a parent-of-origin effect (POE). Methods Our study was based on all MMR gene mutation carriers and their relatives in the Colon Cancer Family Registry, comprising 18,226 people. The POE was estimated as a hazard ratio (HR) using a segregation analysis approach that adjusted for ascertainment. HR = 1 corresponds to no POE and HR>1 corresponds to higher risks for maternal mutations. Results For all MMR genes combined, the estimated POE HRs were 1.02 (95% confidence interval (CI) 0.75-1.39, p = 0.9) for male colorectal cancer, 1.12 (95% CI 0.81-1.54, p = 0.5) for female colorectal cancer and 0.84 (95% CI 0.52-1.36, p = 0.5) for endometrial cancer. Separate results for each MMR gene were similar. Conclusions Despite being well-powered, our study did not find any evidence that cancer risks for MMR gene mutation carriers depend on the parent-of-origin of the mutation. Based on current evidence, we don’t recommend that POEs be incorporated into the clinical guidelines or advice for such carriers. Key messages MMR gene mutations inherited from the maternal and paternal side confer similar risks of developing colorectal and endometrial cancer.
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- 2021
36. Metachronous colon cancer risk following surgery for first primary rectal cancer in Lynch syndrome
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Parry S, Win AK, Parry B, Kalady M, Macrae FA, Lindor NM, Haile RW, Newcomb PA, Le Marchand L, Gallinger S, Hopper JL, and Jenkins MA
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Genetics ,QH426-470 - Published
- 2012
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37. Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer
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Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, and Hayes, RB
- Abstract
BACKGROUND & AIMS: Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS: We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS: Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS: In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be mo
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- 2020
38. A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors
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Zheng, Y, Hua, X, Win, AK, MacInnis, RJ, Gallinger, S, Le Marchand, L, Lindor, NM, Baron, JA, Hopper, JL, Dowty, JG, Antoniou, AC, Zheng, J, Jenkins, MA, Newcomb, PA, Zheng, Y, Hua, X, Win, AK, MacInnis, RJ, Gallinger, S, Le Marchand, L, Lindor, NM, Baron, JA, Hopper, JL, Dowty, JG, Antoniou, AC, Zheng, J, Jenkins, MA, and Newcomb, PA
- Abstract
PURPOSE: Reducing colorectal cancer incidence and mortality through early detection would improve efficacy if targeted. We developed a colorectal cancer risk prediction model incorporating personal, family, genetic, and environmental risk factors to enhance prevention. METHODS: A familial risk profile (FRP) was calculated to summarize individuals' risk based on detailed cancer family history (FH), family structure, probabilities of mutation in major colorectal cancer susceptibility genes, and a polygenic component. We developed risk models, including individuals' FRP or binary colorectal cancer FH, and colorectal cancer risk factors collected at enrollment using population-based colorectal cancer cases (N = 4,445) and controls (N = 3,967) recruited by the Colon Cancer Family Registry Cohort (CCFRC). Model validation used CCFRC follow-up data for population-based (N = 12,052) and clinic-based (N = 5,584) relatives with no cancer history at recruitment to assess model calibration [expected/observed rate ratio (E/O)] and discrimination [area under the receiver-operating-characteristic curve (AUC)]. RESULTS: The E/O [95% confidence interval (CI)] for FRP models for population-based relatives were 1.04 (0.74-1.45) for men and 0.86 (0.64-1.20) for women, and for clinic-based relatives were 1.15 (0.87-1.58) for men and 1.04 (0.76-1.45) for women. The age-adjusted AUCs (95% CI) for FRP models for population-based relatives were 0.69 (0.60-0.78) for men and 0.70 (0.62-0.77) for women, and for clinic-based relatives were 0.77 (0.69-0.84) for men and 0.68 (0.60-0.76) for women. The incremental values of AUC for FRP over FH models for population-based relatives were 0.08 (0.01-0.15) for men and 0.10 (0.04-0.16) for women, and for clinic-based relatives were 0.11 (0.05-0.17) for men and 0.11 (0.06-0.17) for women. CONCLUSIONS: Both models calibrated well. The FRP-based model provided better risk stratification and risk discrimination than the FH-based model. IMPACT: Our findings
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- 2020
39. Correction: Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database (vol 22, pg 15, 2020)
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Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buttner, R, Gorgens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Huneburg, R, Knebel Doeberitz, MV, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moslein, G, Mecklin, J-P, Nielsen, M, Moller, P, Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buttner, R, Gorgens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Huneburg, R, Knebel Doeberitz, MV, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moslein, G, Mecklin, J-P, Nielsen, M, and Moller, P
- Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
40. Hemochromatosis risk genotype is not associated with colorectal cancer or age at its diagnosis
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Jarvik, GP, Wang, X, Fontanillas, P, Kim, E, Chanprasert, S, Gordon, AS, Bastarache, L, Kowdley, KV, Harrison, T, Rosenthal, EA, Stanaway, IB, Bézieau, S, Weinstein, SJ, Newcomb, PA, Casey, G, Platz, EA, Visvanathan, K, Le Marchand, L, Ulrich, CM, Hardikar, S, Li, CI, van Duijnhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodička, P, Brenner, H, Chang-Claude, J, Hoffmeister, M, Slattery, ML, Gunter, MJ, Aglago, EK, Castellví-Bel, S, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Giles, GG, Rennert, G, Offit, K, Keku, TO, Woods, MO, Hampe, J, Van Guelpen, B, Gallinger, SJ, de la Chapelle, A, Hampel, H, Berndt, SI, Tangen, CM, Lindblom, A, Wolk, A, Burnett-Hartman, A, Wu, AH, White, E, Gruber, SB, Jenkins, MA, Mountain, J, Peters, U, Crosslin, DR, Jarvik, GP, Wang, X, Fontanillas, P, Kim, E, Chanprasert, S, Gordon, AS, Bastarache, L, Kowdley, KV, Harrison, T, Rosenthal, EA, Stanaway, IB, Bézieau, S, Weinstein, SJ, Newcomb, PA, Casey, G, Platz, EA, Visvanathan, K, Le Marchand, L, Ulrich, CM, Hardikar, S, Li, CI, van Duijnhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodička, P, Brenner, H, Chang-Claude, J, Hoffmeister, M, Slattery, ML, Gunter, MJ, Aglago, EK, Castellví-Bel, S, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Giles, GG, Rennert, G, Offit, K, Keku, TO, Woods, MO, Hampe, J, Van Guelpen, B, Gallinger, SJ, de la Chapelle, A, Hampel, H, Berndt, SI, Tangen, CM, Lindblom, A, Wolk, A, Burnett-Hartman, A, Wu, AH, White, E, Gruber, SB, Jenkins, MA, Mountain, J, Peters, U, and Crosslin, DR
- Abstract
Homozygotes for the higher penetrance hemochromatosis risk allele, HFE c.845G>A (p.Cys282Tyr, or C282Y), have been reported to be at a 2- to 3-fold increased risk for colorectal cancer (CRC). These results have been reported for small sample size studies with no information about age at diagnosis for CRC. An association with age at diagnosis might alter CRC screening recommendations. We analyzed two large European ancestry datasets to assess the association of HFE genotype with CRC risk and age at CRC diagnosis. The first dataset included 59,733 CRC or advanced adenoma cases and 72,351 controls from a CRC epidemiological study consortium. The second dataset included 13,564 self-reported CRC cases and 2,880,218 controls from the personal genetics company, 23andMe. No association of the common hereditary hemochromatosis (HH) risk genotype and CRC was found in either dataset. The odds ratios (ORs) for the association of CRC and HFE C282Y homozygosity were 1.08 (95% confidence interval [CI], 0.91–1.29; p = 0.4) and 1.01 (95% CI, 0.78–1.31, p = 0.9) in the two cohorts, respectively. Age at CRC diagnosis also did not differ by HFE C282Y/C282Y genotype in either dataset. These results indicate no increased CRC risk in individuals with HH genotypes and suggest that persons with HH risk genotypes can follow population screening recommendations for CRC.
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- 2020
41. Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk
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Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, Peters, U, Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, and Peters, U
- Abstract
BACKGROUND: Body mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology. METHODS: To improve statistical power and interpretation for gene-environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2 ) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype-Tissue Expression Project for all genes with heritability ≥1%. We used a mixed-effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI-CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR <0.2. RESULTS: Among 4839 genes tested, genetically predicted expressions of FOXA1 (P = 3.15 × 10-5 ), PSMC5 (P = 4.51 × 10-4 ) and CD33 (P = 2.71 × 10-4 ) modified the association of BMI on CRC risk for men; KIAA0753 (P = 2.29 × 10-5 ) and SCN1B (P = 2.76 × 10-4 ) modified the association of BMI on CRC risk for women; and PTPN2 modified the association between diabetes and CRC risk in both sexes (P = 2.31 × 10-5 ). CONCLUSIONS: Aggregating G × E interactions and incorporating functional information, we discovered novel genes that may interact with BMI and diabetes on CRC risk.
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- 2020
42. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses
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Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, Freisling, H, Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, and Freisling, H
- Abstract
BACKGROUND: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, we
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- 2020
43. Postmenopausal Hormone Therapy and Colorectal Cancer Risk by Molecularly Defined Subtypes and Tumor Location
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Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, Newcomb, PA, Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, and Newcomb, PA
- Abstract
BACKGROUND: Postmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location. METHODS: We pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2-sided. RESULTS: Among postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; P het =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; P het =.01) tumors. CONCLUSIONS: We observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.
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- 2020
44. Genetic Predictors of Circulating 25-Hydroxyvitamin D and Prognosis after Colorectal Cancer.
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Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, Chang-Claude, J, Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, and Chang-Claude, J
- Abstract
Background: Low serum 25-hydroxyvitamin D [25(OH)D] concentrations in patients with colorectal cancer have been consistently associated with higher mortality in observational studies. It is unclear whether low 25(OH)D levels directly influence colorectal cancer mortality. To minimize bias, we use genetic variants associated with vitamin D levels to evaluate the association with overall and colorectal cancer–specific survival. Methods: Six genetic variants have been robustly identified to be associated with 25(OH)D levels in genome-wide association studies. On the basis of data from the International Survival Analysis in Colorectal Cancer Consortium, the individual genetic variants and a weighted genetic risk score were tested for association with overall and colorectal cancer–specific survival using Cox proportional hazards models in 7,657 patients with stage I to IV colorectal cancer, of whom 2,438 died from any cause and 1,648 died from colorectal cancer. Results: The 25(OH)D decreasing allele of SNP rs2282679 (GC gene, encodes group-specific component/vitamin D–binding protein) was associated with poorer colorectal cancer–specific survival, although not significant after multiple-testing correction. None of the other five SNPs showed an association. The genetic risk score showed nonsignificant associations with increased overall [HR = 1.54; confidence interval (CI), 0.86–2.78] and colorectal cancer–specific mortality (HR = 1.76; 95% CI, 0.86–3.58). A significant increased risk of overall mortality was observed in women (HR = 3.26; 95% CI, 1.45–7.33; Pheterogeneity = 0.01) and normal-weight individuals (HR = 4.14; 95% CI, 1.50–11.43, Pheterogeneity = 0.02). Conclusions: Our results provided little evidence for an association of genetic predisposition of lower vitamin D levels with increased overall or colorectal cancer–specific survival, although power might have been an issue.
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- 2020
45. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
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Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, Gunter, MJ, Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, and Gunter, MJ
- Abstract
BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative meta
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- 2020
46. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival
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Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, Peters, U, Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, and Peters, U
- Abstract
Colorectal cancer (CRC) is a biologically heterogeneous disease. To characterize its mutational profile, we conduct targeted sequencing of 205 genes for 2,105 CRC cases with survival data. Our data shows several findings in addition to enhancing the existing knowledge of CRC. We identify PRKCI, SPZ1, MUTYH, MAP2K4, FETUB, and TGFBR2 as additional genes significantly mutated in CRC. We find that among hypermutated tumors, an increased mutation burden is associated with improved CRC-specific survival (HR = 0.42, 95% CI: 0.21-0.82). Mutations in TP53 are associated with poorer CRC-specific survival, which is most pronounced in cases carrying TP53 mutations with predicted 0% transcriptional activity (HR = 1.53, 95% CI: 1.21-1.94). Furthermore, we observe differences in mutational frequency of several genes and pathways by tumor location, stage, and sex. Overall, this large study provides deep insights into somatic mutations in CRC, and their potential relationships with survival and tumor features.
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- 2020
47. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses
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Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, Gunter, MJ, Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, and Gunter, MJ
- Abstract
BACKGROUND & AIMS: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. METHODS: Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) RESULTS: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 × 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 × 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene regi
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- 2020
48. Dysfunctional epigenetic aging of the normal colon and colorectal cancer risk
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Wang, T, Maden, SK, Luebeck, GE, Li, CI, Newcomb, PA, Ulrich, CM, Joo, J-HE, Buchanan, DD, Milne, RL, Southey, MC, Carter, KT, Willbanks, AR, Luo, Y, Yu, M, Grady, WM, Wang, T, Maden, SK, Luebeck, GE, Li, CI, Newcomb, PA, Ulrich, CM, Joo, J-HE, Buchanan, DD, Milne, RL, Southey, MC, Carter, KT, Willbanks, AR, Luo, Y, Yu, M, and Grady, WM
- Abstract
BACKGROUND: Chronological age is a prominent risk factor for many types of cancers including colorectal cancer (CRC). Yet, the risk of CRC varies substantially between individuals, even within the same age group, which may reflect heterogeneity in biological tissue aging between people. Epigenetic clocks based on DNA methylation are a useful measure of the biological aging process with the potential to serve as a biomarker of an individual's susceptibility to age-related diseases such as CRC. METHODS: We conducted a genome-wide DNA methylation study on samples of normal colon mucosa (N = 334). Subjects were assigned to three cancer risk groups (low, medium, and high) based on their personal adenoma or cancer history. Using previously established epigenetic clocks (Hannum, Horvath, PhenoAge, and EpiTOC), we estimated the biological age of each sample and assessed for epigenetic age acceleration in the samples by regressing the estimated biological age on the individual's chronological age. We compared the epigenetic age acceleration between different risk groups using a multivariate linear regression model with the adjustment for gender and cell-type fractions for each epigenetic clock. An epigenome-wide association study (EWAS) was performed to identify differential methylation changes associated with CRC risk. RESULTS: Each epigenetic clock was significantly correlated with the chronological age of the subjects, and the Horvath clock exhibited the strongest correlation in all risk groups (r > 0.8, p < 1 × 10-30). The PhenoAge clock (p = 0.0012) revealed epigenetic age deceleration in the high-risk group compared to the low-risk group. CONCLUSIONS: Among the four DNA methylation-based measures of biological age, the Horvath clock is the most accurate for estimating the chronological age of individuals. Individuals with a high risk for CRC have epigenetic age deceleration in their normal colons measured by the PhenoAge clock, which may reflect a dysfunctional epigene
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- 2020
49. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis
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Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, Murphy, N, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, and Murphy, N
- Abstract
Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers.
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- 2020
50. Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database
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Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos Tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moeslein, G, Mecklin, J-P, Nielsen, M, Moller, P, Dominguez-Valentin, M, Sampson, JR, Seppala, TT, ten Broeke, SW, Plazzer, J-P, Nakken, S, Engel, C, Aretz, S, Jenkins, MA, Sunde, L, Bernstein, I, Capella, G, Balaguer, F, Thomas, H, Evans, DG, Burn, J, Greenblatt, M, Hovig, E, de Vos Tot Nederveen Cappel, WH, Sijmons, RH, Bertario, L, Tibiletti, MG, Cavestro, GM, Lindblom, A, Della Valle, A, Lopez-Kostner, F, Gluck, N, Katz, LH, Heinimann, K, Vaccaro, CA, Buettner, R, Goergens, H, Holinski-Feder, E, Morak, M, Holzapfel, S, Hueneburg, R, von Knebel Doeberitz, M, Loeffler, M, Rahner, N, Schackert, HK, Steinke-Lange, V, Schmiegel, W, Vangala, D, Pylvanainen, K, Renkonen-Sinisalo, L, Hopper, JL, Win, AK, Haile, RW, Lindor, NM, Gallinger, S, Le Marchand, L, Newcomb, PA, Figueiredo, JC, Thibodeau, SN, Wadt, K, Therkildsen, C, Okkels, H, Ketabi, Z, Moreira, L, Sanchez, A, Serra-Burriel, M, Pineda, M, Navarro, M, Blanco, I, Green, K, Lalloo, F, Crosbie, EJ, Hill, J, Denton, OG, Frayling, IM, Rodland, EA, Vasen, H, Mints, M, Neffa, F, Esperon, P, Alvarez, K, Kariv, R, Rosner, G, Pinero, TA, Gonzalez, ML, Kalfayan, P, Tjandra, D, Winship, IM, Macrae, F, Moeslein, G, Mecklin, J-P, Nielsen, M, and Moller, P
- Abstract
PURPOSE: Pathogenic variants affecting MLH1, MSH2, MSH6, and PMS2 cause Lynch syndrome and result in different but imprecisely known cancer risks. This study aimed to provide age and organ-specific cancer risks according to gene and gender and to determine survival after cancer. METHODS: We conducted an international, multicenter prospective observational study using independent test and validation cohorts of carriers of class 4 or class 5 variants. After validation the cohorts were merged providing 6350 participants and 51,646 follow-up years. RESULTS: There were 1808 prospectively observed cancers. Pathogenic MLH1 and MSH2 variants caused high penetrance dominant cancer syndromes sharing similar colorectal, endometrial, and ovarian cancer risks, but older MSH2 carriers had higher risk of cancers of the upper urinary tract, upper gastrointestinal tract, brain, and particularly prostate. Pathogenic MSH6 variants caused a sex-limited trait with high endometrial cancer risk but only modestly increased colorectal cancer risk in both genders. We did not demonstrate a significantly increased cancer risk in carriers of pathogenic PMS2 variants. Ten-year crude survival was over 80% following colon, endometrial, or ovarian cancer. CONCLUSION: Management guidelines for Lynch syndrome may require revision in light of these different gene and gender-specific risks and the good prognosis for the most commonly associated cancers.
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- 2020
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