Search

Your search keyword '"Ulrich C.M."' showing total 46 results
Start Over Author "Ulrich C.M."
46 results on '"Ulrich C.M."'

2. Effects and moderators of exercise on sleep in adults with cancer: Individual patient data and aggregated meta-analyses

Author

Bernard, P., Savard, J., Steindorf, K., Sweegers, M.G., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., May, A.M., Galvao, D.A., Chinapaw, M.J., Stuiver, M.M., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Bohus, M., Thorsen, L., Schmidt, M.E., Ulrich, C.M., Sonke, G.S., van Harten, W., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., van Mechelen, W., Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., and Buffart, L.M.

Published
2019
Full Text
View/download PDF

4. Higher vitamin B6 status is associated with improved survival among patients with stage I-III colorectal cancer

Author

Holowatyj, A.N., Ose, J., Gigic, B., Lin, T., Ulvik, A., Geijsen, A, Brezina, S., Kiblawi, R., Roekel, E.H. van, Baierl, A., Böhm, J., Bours, M.J., Brenner, H., Breukink, S.O., Chang-Claude, J., Wilt, J.H.W. de, Grady, W.M., Grünberger, T., Gumpenberger, T., Herpel, E., Hoffmeister, M., Keulen, E.T.P., Kok, D.E., Koole, J.L., Kosma, K., Kouwenhoven, E.A., Kvalheim, G., Li, C.I., Schirmacher, P., Schrotz-King, P., Singer, M.C., Duijnhoven, F. J. B. van, Halteren, H.K. van, Vickers, K., Vogelaar, F.J., Warby, C.A., Wesselink, E., Ueland, P.M., Ulrich, A.B., Schneider, M., Habermann, N., Kampman, E., Weijenberg, M.P., Gsur, A., Ulrich, C.M., Holowatyj, A.N., Ose, J., Gigic, B., Lin, T., Ulvik, A., Geijsen, A, Brezina, S., Kiblawi, R., Roekel, E.H. van, Baierl, A., Böhm, J., Bours, M.J., Brenner, H., Breukink, S.O., Chang-Claude, J., Wilt, J.H.W. de, Grady, W.M., Grünberger, T., Gumpenberger, T., Herpel, E., Hoffmeister, M., Keulen, E.T.P., Kok, D.E., Koole, J.L., Kosma, K., Kouwenhoven, E.A., Kvalheim, G., Li, C.I., Schirmacher, P., Schrotz-King, P., Singer, M.C., Duijnhoven, F. J. B. van, Halteren, H.K. van, Vickers, K., Vogelaar, F.J., Warby, C.A., Wesselink, E., Ueland, P.M., Ulrich, A.B., Schneider, M., Habermann, N., Kampman, E., Weijenberg, M.P., Gsur, A., and Ulrich, C.M.

Abstract

Item does not contain fulltext, BACKGROUND: Folate-mediated 1-carbon metabolism requires several nutrients, including vitamin B6. Circulating biomarker concentrations indicating high vitamin B6 status are associated with a reduced risk of colorectal cancer (CRC). However, little is known about the effect of B6 status in relation to clinical outcomes in CRC patients. OBJECTIVES: We investigated survival outcomes in relation to vitamin B6 status in prospectively followed CRC patients. METHODS: A total of 2031 patients with stage I-III CRC participated in 6 prospective patient cohorts in the international FOCUS (folate-dependent 1-carbon metabolism in colorectal cancer recurrence and survival) Consortium. Preoperative blood samples were used to measure vitamin B6 status by the direct marker pyridoxal 5'-phosphate (PLP), as well as the functional marker HK-ratio (HKr)[3'-hydroxykynurenine: (kynurenic acid + xanthurenic acid + 3'-hydroxy anthranilic acid + anthranilic acid)]. Using Cox proportional hazards regression, we examined associations of vitamin B6 status with overall survival (OS), disease-free survival (DFS), and risk of recurrence, adjusted for patient age, sex, circulating creatinine concentrations, tumor site, stage, and cohort. RESULTS: After a median follow-up of 3.2 y for OS, higher preoperative vitamin B6 status as assessed by PLP and the functional marker HKr was associated with 16-32% higher all-cause and disease-free survival, although there was no significant association with disease recurrence (doubling in PLP concentration: HROS, 0.68; 95% CI: 0.59, 0.79; HRDFS, 0.84; 95% CI: 0.75, 0.94; HRRecurrence, 0.96; 95% CI: 0.84, 1.09; HKr: HROS, 2.04; 95% CI: 1.67, 2.49; HRDFS, 1.56; 95% CI: 1.31, 1.85; HRRecurrence, 1.21; 95% CI: 0.96,1. 52). The association of PLP with improved OS was consistent across colorectal tumor site (right-sided colon: HROS, 0.75; 95% CI: 0.59, 0.96; left-sided colon: HROS, 0.71; 95% CI: 0.55, 0.92; rectosigmoid junction and rectum: HROS, 0.61; 95% CI: 0.47, 0.

Published
2022

5. Diet quality indices and dietary patterns are associated with plasma metabolites in colorectal cancer patients

Author

Geijsen, A, Kok, D.E., Zutphen, M. van, Keski-Rahkonen, P., Achaintre, D., Gicquiau, A., Gsur, A., Kruyt, F.M., Ulrich, C.M., Weijenberg, M.P., Wilt, J.H.W. de, Wesselink, E., Scalbert, A., Kampman, E., Duijnhoven, F. J. B. van, Geijsen, A, Kok, D.E., Zutphen, M. van, Keski-Rahkonen, P., Achaintre, D., Gicquiau, A., Gsur, A., Kruyt, F.M., Ulrich, C.M., Weijenberg, M.P., Wilt, J.H.W. de, Wesselink, E., Scalbert, A., Kampman, E., and Duijnhoven, F. J. B. van

Abstract

Contains fulltext : 238999.pdf (Publisher’s version ) (Open Access), PURPOSE: Emerging evidence suggests that diet is linked to survival in colorectal cancer patients, although underlying mechanisms are not fully understood. The aim of this study was to evaluate whether dietary exposures are associated with metabolite concentrations in colorectal cancer patients. METHODS: Concentrations of 134 metabolites of the Biocrates Absolute(IDQ) p180 kit were quantified in plasma samples collected at diagnosis from 195 stage I-IV colorectal cancer patients. Food frequency questionnaires were used to calculate adherence to the World Cancer Research Fund (WCRF) dietary recommendations and the Dutch Healthy Diet (DHD15) index as well as to construct dietary patterns using Principal Component Analysis. Multivariable linear regression models were used to determine associations between dietary exposures and metabolite concentrations. All models were adjusted for age, sex, body mass index, smoking status, analytical batch, cancer stage, and multiple testing using false discovery rate. RESULTS: Participants had a mean (SD) age of 66 (9) years, were mostly men (60%), and mostly diagnosed with stage II and III cancer. For the dietary pattern analyses, Western, Carnivore, and Prudent patterns were identified. Better adherence to the WCRF dietary recommendations was associated with lower concentrations of ten phosphatidylcholines. Higher intake of the Carnivore pattern was associated with higher concentrations of two phosphatidylcholines. The DHD15-index, Western pattern, or Prudent pattern were not associated with metabolite concentrations. CONCLUSION: In the current study, the WCRF dietary score and the Carnivore pattern are associated with phosphatidylcholines. Future research should elucidate the potential relevance of phosphatidylcholine metabolism in the colorectal cancer continuum. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov Identifier: NCT03191110.

Published
2021

6. Response to Li and Hopper.

Author

Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., Hsu L., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Huyghe J.R., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., and Hsu L.

Published
2021

7. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study.

Author

Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., Travis R.C., Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., and Travis R.C.

Abstract

BACKGROUND: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. OBJECTIVE(S): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). METHOD(S): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. RESULT(S): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08; 95% CI: 1.00, 1.17; P value=0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12; 95% CI: 1.03, 1.21; P value=0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98; 95% CI: 0.96, 1.00; P value=0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten

Published
2021

8. Salicylic acid and risk of colorectal cancer: A two-sample mendelian randomization study.

Author

Nounu A., Richmond R.C., Stewart I.D., Surendran P., Wareham N.J., Butterworth A., Weinstein S.J., Albanes D., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Marchand L.L., Ulrich C.M., Li C.I., van Dujinhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Amitay E., Alwers E., Chang-Claude J., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.-R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., Van Guelpen B., Gallinger S., Hampel H., Berndt S.I., Pharoah P.D.P., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Brenner H., Hoffmeister M., Williams A.C., Relton C.L., Nounu A., Richmond R.C., Stewart I.D., Surendran P., Wareham N.J., Butterworth A., Weinstein S.J., Albanes D., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Marchand L.L., Ulrich C.M., Li C.I., van Dujinhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Amitay E., Alwers E., Chang-Claude J., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.-R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., Van Guelpen B., Gallinger S., Hampel H., Berndt S.I., Pharoah P.D.P., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Brenner H., Hoffmeister M., Williams A.C., and Relton C.L.

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.Copyright © 2021 by the authors. Li-censee MDPI, Basel, Switzerland.

Published
2021

9. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: A Mendelian randomization study.

Author

Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., and Gunter M.J.

Abstract

Background: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. Objective(s): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). Method(s): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. Result(s): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08 95% CI: 1.00, 1.17 P value = 0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12 95% CI: 1.03, 1.21 P value = 0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98 95% CI: 0.96, 1.00 P value = 0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten

Published
2021

10. A combined proteomics and mendelian randomization approach to investigate the effects of aspirin-targeted proteins on colorectal cancer.

Author

Pharoah P.D.P., Nounu A., Greenhough A., Heesom K.J., Richmond R.C., Zheng J., Weinstein S.J., Albanes D., Gallinger S., Hampel H., Berndt S.I., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Williams A.C., Relton C.L., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Le Marchand L., Ulrich C.M., Li C.I., van Duijnhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Brenner H., Chang-Claude J., Hoffmeister M., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., van Guelpen B., Pharoah P.D.P., Nounu A., Greenhough A., Heesom K.J., Richmond R.C., Zheng J., Weinstein S.J., Albanes D., Gallinger S., Hampel H., Berndt S.I., Lindblom A., Wolk A., Wu A.H., White E., Peters U., Drew D.A., Scherer D., Bermejo J.L., Williams A.C., Relton C.L., Baron J.A., Hopper J.L., Figueiredo J.C., Newcomb P.A., Lindor N.M., Casey G., Platz E.A., Le Marchand L., Ulrich C.M., Li C.I., van Duijnhoven F.J.B., Gsur A., Campbell P.T., Moreno V., Vodicka P., Vodickova L., Brenner H., Chang-Claude J., Hoffmeister M., Sakoda L.C., Slattery M.L., Schoen R.E., Gunter M.J., Castellvi-Bel S., Kim H.R., Kweon S.-S., Chan A.T., Li L., Zheng W., Bishop D.T., Buchanan D.D., Giles G.G., Gruber S.B., Rennert G., Stadler Z.K., Harrison T.A., Lin Y., Keku T.O., Woods M.O., Schafmayer C., and van Guelpen B.

Abstract

Background: Evidence for aspirin's chemopreventative properties on colorectal cancer (CRC) is substantial, but its mechanism of action is not well-understood. We combined a proteomic approach with Mendelian randomization (MR) to identify possible new aspirin targets that decrease CRC risk. Method(s): Human colorectal adenoma cells (RG/C2) were treated with aspirin (24 hours) and a stable isotope labeling with amino acids in cell culture (SILAC) based proteomics approach identified altered protein expression. Protein quantitative trait loci (pQTLs) from INTERVAL (N 1/4 3,301) and expression QTLs (eQTLs) from the eQTLGen Consortium (N 1/4 31,684) were used as genetic proxies for protein and mRNA expression levels. Two-sample MR of mRNA/protein expression on CRC risk was performed using eQTL/pQTL data combined with CRC genetic summary data from the Colon Cancer Family Registry (CCFR), Colorectal Transdisciplinary (CORECT), Genetics and Epidemiology of Colorectal Cancer (GECCO) consortia and UK Biobank (55,168 cases and 65,160 controls). Result(s): Altered expression was detected for 125/5886 proteins. Of these, aspirin decreased MCM6, RRM2, and ARFIP2 expression, and MR analysis showed that a standard deviation increase in mRNA/protein expression was associated with increased CRC risk (OR: 1.08, 95% CI, 1.03-1.13; OR: 3.33, 95% CI, 2.46-4.50; and OR: 1.15, 95% CI, 1.02-1.29, respectively). Conclusion(s): MCM6 and RRM2 are involved in DNA repair whereby reduced expression may lead to increased DNA aberrations and ultimately cancer cell death, whereas ARFIP2 is involved in actin cytoskeletal regulation, indicating a possible role in aspirin's reduction of metastasis. Impact: Our approach has shown how laboratory experiments and population-based approaches can combine to identify aspirin-targeted proteins possibly affecting CRC risk.Copyright ©2020 American Association for Cancer Research.

Published
2021

11. Circulating tryptophan metabolites and risk of colon cancer: Results from case-control and prospective cohort studies

Author

Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., Keski-Rahkonen, P., Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., and Keski-Rahkonen, P.

Abstract

Dysregulation of tryptophan metabolism has been linked to colorectal tumorigenesis; however, epidemiological studies investigating tryptophan metabolites in relation to colorectal cancer risk are limited. We studied associations of plasma tryptophan, serotonin and kynurenine with colon cancer risk in two studies with cancer patients and controls, and in one prospective cohort: ColoCare Study (110 patients/153 controls), the Colorectal Cancer Study of Austria (CORSA; 46 patients/390 controls) and the European Prospective Investigation into Cancer and Nutrition (EPIC; 456 matched case-control pairs). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for colon cancer risk. Tryptophan was inversely associated with colon cancer risk in ColoCare (OR per 1-SD = 0.44; 95% CI, 0.31-0.64) and EPIC (OR per 1-SD = 0.86; 95% CI, 0.74-0.99). Comparing detectable vs nondetectable levels, serotonin was positively associated with colon cancer in CORSA (OR = 6.39; 95% CI, 3.61-11.3) and EPIC (OR = 2.03; 95% CI, 1.20-3.40). Kynurenine was inversely associated with colon cancer in ColoCare (OR per 1-SD = 0.74; 95% CI, 0.55-0.98), positively associated in CORSA (OR per 1-SD = 1.79; 95% CI, 1.27-2.52), while no association was observed in EPIC. The kynurenine-to-tryptophan ratio was positively associated with colon cancer in ColoCare (OR per 1-SD = 1.38; 95% CI, 1.03-1.84) and CORSA (OR per 1-SD = 1.44; 95% CI, 1.06-1.96), but not in EPIC. These results suggest that higher plasma tryptophan may be associated with lower colon cancer risk, while increased serotonin may be associated with a higher risk of colon cancer. The kynurenine-to-tryptophan ratio may also reflect altered tryptophan catabolism during colon cancer development.

Published
2021

12. Circulating B-vitamin biomarkers and B-vitamin supplement use in relation to quality of life in patients with colorectal cancer: results from the FOCUS consortium

Author

Koole, J.L., Koole, J.L., Bours, M.J.L., Geijsen, A.J.M.R., Gigic, B., Ulvik, A., Kok, D.E., Brezina, S., Ose, J., Baierl, A., Bohm, J., Brenner, H., Breukink, S.O., Chang-Claude, J., van Duijnhoven, F.J.B., van Duijvendijk, P., Gumpenberger, T., Habermann, N., van Halteren, H.K., Hoffmeister, M., Holowatyj, A.N., Janssen-Heijnen, M.L.G., Keulen, E.T.P., Kiblawi, R., Kruyt, F.M., Li, C.I., Lin, T.D., Midttun, O., Peoples, A.R., van Roekel, E.H., Schneider, M.A., Schrotz-King, P., Ulrich, A.B., Vickers, K., Wesselink, E., de Wilt, J.H.W., Gsur, A., Ueland, P.M., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Koole, J.L., Koole, J.L., Bours, M.J.L., Geijsen, A.J.M.R., Gigic, B., Ulvik, A., Kok, D.E., Brezina, S., Ose, J., Baierl, A., Bohm, J., Brenner, H., Breukink, S.O., Chang-Claude, J., van Duijnhoven, F.J.B., van Duijvendijk, P., Gumpenberger, T., Habermann, N., van Halteren, H.K., Hoffmeister, M., Holowatyj, A.N., Janssen-Heijnen, M.L.G., Keulen, E.T.P., Kiblawi, R., Kruyt, F.M., Li, C.I., Lin, T.D., Midttun, O., Peoples, A.R., van Roekel, E.H., Schneider, M.A., Schrotz-King, P., Ulrich, A.B., Vickers, K., Wesselink, E., de Wilt, J.H.W., Gsur, A., Ueland, P.M., Ulrich, C.M., Kampman, E., and Weijenberg, M.P.

Abstract

Background: B vitamins have been associated with the risk and progression of colorectal cancer (CRC), given their central roles in nucleotide synthesis and methylation, yet their association with quality of life in established CRC is unclear.Objectives: To investigate whether quality of life 6 months postdiagnosis is associated with: 1) circulating concentrations of B vitamins and related biomarkers 6 months postdiagnosis; 2) changes in these concentrations between diagnosis and 6 months postdiagnosis; 3) B-vitamin supplement use 6 months postdiagnosis; and 4) changes in B-vitamin supplement use between diagnosis and 6 months postdiagnosis.Methods: We included 1676 newly diagnosed stage I-III CRC patients from 3 prospective European cohorts. Circulating concentrations of 9 biomarkers related to the B vitamins folate, riboflavin, vitamin B6, and cobalamin were measured at diagnosis and 6 months postdiagnosis. Information on dietary supplement use was collected at both time points. Health-related quality of life (global quality of life, functioning scales, and fatigue) was assessed by the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire 6 months postdiagnosis. Confounder-adjusted linear regression analyses were performed, adjusted for multiple testing.Results: Higher pyridoxal 5'-phosphate (PLP) was cross-sectionally associated with better physical, role, and social functioning, as well as reduced fatigue, 6 months postdiagnosis. Associations were observed for a doubling in the hydroxykynurenine ratio [3-hydroxykynurenine: (kynurenic acid + xanthurenic acid + 3-hydroxyanthranilic acid + anthranilic acid); an inverse marker of vitamin B6] and both reduced global quality of life (beta = -3.62; 95% CI: -5.88, -1.36) and worse physical functioning (beta = -5.01; 95% CI: -7.09, -2.94). Dose-response relations were observed for PLP and quality of life. No associations were observed for changes in biomarker concentrations between diagn

Published
2021

18. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Seyed Khoei, N., Jenab, M., Murphy, N., Banbury, B.L., Carreras-Torres, R., Viallon, V., Kühn, T., Bueno-de-Mesquita, B., Aleksandrova, K., Cross, A.J., Weiderpass, E., Stepien, M., Bulmer, A., Tjønneland, A., Boutron-Ruault, M.C., Severi, G., Carbonnel, F., Katzke, V., Boeing, H., Bergmann, M.M., Trichopoulou, A., Karakatsani, A., Martimianaki, G., Palli, D., Tagliabue, G., Panico, S., Tumino, R., Sacerdote, C., Skeie, G., Merino, S., Bonet, C., Rodríguez-Barranco, M., Gil, L., Chirlaque, M.D., Ardanaz, E., Myte, R., Hultdin, J., Perez-Cornago, A., Aune, D., Tsilidis, K.K., Albanes, D., Baron, J.A., Berndt, S.I., Bézieau, S., Brenner, H., Campbell, P.T., Casey, G., Chang-Claude, J., Chanock, S.J., Cotterchio, M., Gallinger, S., Gruber, S.B., Haile, R.W., Hampe, J., Hoffmeister, M., Hopper, J.L., Hsu, L., Huyghe, J.R., Jenkins, M.A., Joshi, A.D., Kampman, E., Larsson, S.C., Le Marchand, L., Li, C.I., Li, L., Lindblom, A., Lindor, N.M., Martín, V., Moreno, V., Newcomb, P.A., Offit, K., Ogino, S., Parfrey, P.S., Pharoah, P.D.P., Rennert, G., Sakoda, L.C., Schafmayer, C., Schmit, S.L., Schoen, R.E., Slattery, M.L., Thibodeau, S.N., Ulrich, C.M., van Duijnhoven, F.J.B., Weigl, K., Weinstein, S.J., White, E., Wolk, A., Woods, M.O., Wu, A.H., Zhang, X., Ferrari, P., Anton, G., Peters, A., Peters, U., Gunter, M.J., Wagner, K.H., and Freisling, H.

Subjects
Bilirubin, Cancer, Colorectal Cancer, Anti-oxidants, Mendelian Randomization Analysis
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 x 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 (P-heterogeneity = 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 mainUGT1A1SNP (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, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (P-heterogeneity >= 0.2). Conclusions Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.

Published
2020

19. Circulating bilirubin levels and risk of colorectal cancer: Serological and Mendelian randomization analyses

Author

Seyed Khoei, N. Jenab, M. Murphy, N. Banbury, B.L. Carreras-Torres, R. Viallon, V. Kühn, T. Bueno-De-Mesquita, B. Aleksandrova, K. Cross, A.J. Weiderpass, E. Stepien, M. Bulmer, A. Tjønneland, A. Boutron-Ruault, M.-C. Severi, G. Carbonnel, F. Katzke, V. Boeing, H. Bergmann, M.M. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Palli, D. Tagliabue, G. Panico, S. Tumino, R. Sacerdote, C. Skeie, G. Merino, S. Bonet, C. Rodríguez-Barranco, M. Gil, L. Chirlaque, M.-D. Ardanaz, E. Myte, R. Hultdin, J. Perez-Cornago, A. Aune, D. Tsilidis, K.K. Albanes, D. Baron, J.A. Berndt, S.I. Bézieau, S. Brenner, H. Campbell, P.T. Casey, G. Chan, A.T. Chang-Claude, J. Chanock, S.J. Cotterchio, M. Gallinger, S. Gruber, S.B. Haile, R.W. Hampe, J. Hoffmeister, M. Hopper, J.L. Hsu, L. Huyghe, J.R. Jenkins, M.A. Joshi, A.D. Kampman, E. Larsson, S.C. Le Marchand, L. Li, C.I. Li, L. Lindblom, A. Lindor, N.M. Martín, V. Moreno, V. Newcomb, P.A. Offit, K. Ogino, S. Parfrey, P.S. Pharoah, P.D.P. Rennert, G. Sakoda, L.C. Schafmayer, C. Schmit, S.L. Schoen, R.E. Slattery, M.L. Thibodeau, S.N. Ulrich, C.M. Van Duijnhoven, F.J.B. Weigl, K. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Zhang, X. Ferrari, P. Anton, G. Peters, A. Peters, U. Gunter, M.J. Wagner, K.-H. 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 (P heterogeneity = 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, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (P heterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development. © 2020 The Author(s).

Published
2020

20. Plasma metabolites associated with colorectal cancer stage: Findings from an international consortium

Author

Geijsen, A., Roekel, E.H. van, Duijnhoven, F. J. B. van, Achaintre, D., Bachleitner-Hofmann, T., Baierl, A., Bergmann, M.M., Boehm, J., Bours, M.J., Brenner, H., Breukink, S.O., Brezina, S., Chang-Claude, J., Herpel, E., Wilt, J.H.W. de, Gicquiau, A., Gigic, B., Gumpenberger, T., Hansson, B.M.E., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Keski-Rahkonen, P., Keulen, E.T.P., Koole, J.L., Leeb, G., Ose, J., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Stift, A., Ulvik, A., Vogelaar, F.J., Wesselink, E., Zutphen, M. van, Gsur, A., Habermann, N., Kampman, E., Scalbert, A., Ueland, P.M., Ulrich, A.B., Ulrich, C.M., Weijenberg, M.P., Kok, D.E., Geijsen, A., Roekel, E.H. van, Duijnhoven, F. J. B. van, Achaintre, D., Bachleitner-Hofmann, T., Baierl, A., Bergmann, M.M., Boehm, J., Bours, M.J., Brenner, H., Breukink, S.O., Brezina, S., Chang-Claude, J., Herpel, E., Wilt, J.H.W. de, Gicquiau, A., Gigic, B., Gumpenberger, T., Hansson, B.M.E., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Keski-Rahkonen, P., Keulen, E.T.P., Koole, J.L., Leeb, G., Ose, J., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Stift, A., Ulvik, A., Vogelaar, F.J., Wesselink, E., Zutphen, M. van, Gsur, A., Habermann, N., Kampman, E., Scalbert, A., Ueland, P.M., Ulrich, A.B., Ulrich, C.M., Weijenberg, M.P., and Kok, D.E.

Abstract

Contains fulltext : 220955.pdf (Publisher’s version ) (Open Access), Colorectal cancer is the second most common cause of cancer-related death globally, with marked differences in prognosis by disease stage at diagnosis. We studied circulating metabolites in relation to disease stage to improve the understanding of metabolic pathways related to colorectal cancer progression. We investigated plasma concentrations of 130 metabolites among 744 Stages I-IV colorectal cancer patients from ongoing cohort studies. Plasma samples, collected at diagnosis, were analyzed with liquid chromatography-mass spectrometry using the Biocrates AbsoluteIDQ™ p180 kit. We assessed associations between metabolite concentrations and stage using multinomial and multivariable logistic regression models. Analyses were adjusted for potential confounders as well as multiple testing using false discovery rate (FDR) correction. Patients presented with 23, 28, 39 and 10% of Stages I-IV disease, respectively. Concentrations of sphingomyelin C26:0 were lower in Stage III patients compared to Stage I patients (p(FDR) < 0.05). Concentrations of sphingomyelin C18:0 and phosphatidylcholine (diacyl) C32:0 were statistically significantly higher, while citrulline, histidine, phosphatidylcholine (diacyl) C34:4, phosphatidylcholine (acyl-alkyl) C40:1 and lysophosphatidylcholines (acyl) C16:0 and C17:0 concentrations were lower in Stage IV compared to Stage I patients (p(FDR) < 0.05). Our results suggest that metabolic pathways involving among others citrulline and histidine, implicated previously in colorectal cancer development, may also be linked to colorectal cancer progression.

Published
2020

21. Circulating Folate and Folic Acid Concentrations: Associations With Colorectal Cancer Recurrence and Survival

Author

Geijsen, A., Ulvik, A., Gigic, B., Kok, D.E., Duijnhoven, F. J. B. van, Holowatyj, A.N., Brezina, S., Roekel, E.H. van, Baierl, A., Bergmann, M.M., Böhm, J., Bours, M.J., Brenner, H., Breukink, S.O., Bronner, M.P., Chang-Claude, J., Wilt, J.H.W. de, Grady, W.M., Grünberger, T., Gumpenberger, T., Herpel, E., Hoffmeister, M., Huang, L.C., Jedrzkiewicz, J.D., Keulen, E.T.P., Kiblawi, R., Kölsch, T., Koole, J.L., Kosma, K., Kouwenhoven, E.A., Kruyt, F.M., Kvalheim, G., Li, C.I., Lin, T., Ose, J., Pickron, T.B., Scaife, C.L., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Singer, M.C., Swanson, E.R., Duijvendijk, P. van, Halteren, H.K. van, Zutphen, M. van, Vickers, K., Vogelaar, F.J., Wesselink, E., Habermann, N., Ulrich, A.B., Ueland, P.M., Weijenberg, M.P., Gsur, A., Ulrich, C.M., Kampman, E., Geijsen, A., Ulvik, A., Gigic, B., Kok, D.E., Duijnhoven, F. J. B. van, Holowatyj, A.N., Brezina, S., Roekel, E.H. van, Baierl, A., Bergmann, M.M., Böhm, J., Bours, M.J., Brenner, H., Breukink, S.O., Bronner, M.P., Chang-Claude, J., Wilt, J.H.W. de, Grady, W.M., Grünberger, T., Gumpenberger, T., Herpel, E., Hoffmeister, M., Huang, L.C., Jedrzkiewicz, J.D., Keulen, E.T.P., Kiblawi, R., Kölsch, T., Koole, J.L., Kosma, K., Kouwenhoven, E.A., Kruyt, F.M., Kvalheim, G., Li, C.I., Lin, T., Ose, J., Pickron, T.B., Scaife, C.L., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Singer, M.C., Swanson, E.R., Duijvendijk, P. van, Halteren, H.K. van, Zutphen, M. van, Vickers, K., Vogelaar, F.J., Wesselink, E., Habermann, N., Ulrich, A.B., Ueland, P.M., Weijenberg, M.P., Gsur, A., Ulrich, C.M., and Kampman, E.

Abstract

Contains fulltext : 229382.pdf (publisher's version ) (Open Access), BACKGROUND: Folates, including folic acid, may play a dual role in colorectal cancer development. Folate is suggested to be protective in early carcinogenesis but could accelerate growth of premalignant lesions or micrometastases. Whether circulating concentrations of folate and folic acid, measured around time of diagnosis, are associated with recurrence and survival in colorectal cancer patients is largely unknown. METHODS: Circulating concentrations of folate, folic acid, and folate catabolites p-aminobenzoylglutamate and p-acetamidobenzoylglutamate were measured by liquid chromatography-tandem mass spectrometry at diagnosis in 2024 stage I-III colorectal cancer patients from European and US patient cohort studies. Multivariable-adjusted Cox proportional hazard models were used to assess associations between folate, folic acid, and folate catabolites concentrations with recurrence, overall survival, and disease-free survival. RESULTS: No statistically significant associations were observed between folate, p-aminobenzoylglutamate, and p-acetamidobenzoylglutamate concentrations and recurrence, overall survival, and disease-free survival, with hazard ratios ranging from 0.92 to 1.16. The detection of folic acid in the circulation (yes or no) was not associated with any outcome. However, among patients with detectable folic acid concentrations (n = 296), a higher risk of recurrence was observed for each twofold increase in folic acid (hazard ratio = 1.31, 95% confidence interval = 1.02 to 1.58). No statistically significant associations were found between folic acid concentrations and overall and disease-free survival. CONCLUSIONS: Circulating folate and folate catabolite concentrations at colorectal cancer diagnosis were not associated with recurrence and survival. However, caution is warranted for high blood concentrations of folic acid because they may increase the risk of colorectal cancer recurrence.

Published
2020

22. Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data.

Author

Vulpen, J.K. van, Sweegers, M.G., Peeters, P.H., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., Galvao, D.A., Chinapaw, M.J., Steindorf, K., Irwin, M.L., Stuiver, M.M., Hayes, S., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Schmidt, M.E., Ulrich, C.M., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., May, A.M., Buffart, L.M., Vulpen, J.K. van, Sweegers, M.G., Peeters, P.H., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., Galvao, D.A., Chinapaw, M.J., Steindorf, K., Irwin, M.L., Stuiver, M.M., Hayes, S., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Schmidt, M.E., Ulrich, C.M., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., May, A.M., and Buffart, L.M.

Abstract

01 februari 2020, Contains fulltext : 220990.pdf (Publisher’s version ) (Closed access), PURPOSE: Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. METHODS: We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z score) and to identify demographic, clinical, intervention- and exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test. RESULTS: Exercise interventions had statistically significant beneficial effects on fatigue (beta = -0.17; 95% confidence interval [CI], -0.22 to -0.12). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (betadifference = -0.18; 95% CI -0.28 to -0.08). Supervised interventions with a duration

Published
2020

23. Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.

Author

Huyghe J.R., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., Hsu L., Huyghe J.R., Thomas M., Sakoda L.C., Hoffmeister M., Rosenthal E.A., Lee J.K., van Duijnhoven F.J.B., Platz E.A., Wu A.H., Dampier C.H., de la Chapelle A., Wolk A., Joshi A.D., Burnett-Hartman A., Gsur A., Lindblom A., Castells A., Win A.K., Namjou B., Van Guelpen B., Tangen C.M., He Q., Li C.I., Schafmayer C., Joshu C.E., Ulrich C.M., Bishop D.T., Buchanan D.D., Schaid D., Drew D.A., Muller D.C., Duggan D., Crosslin D.R., Albanes D., Giovannucci E.L., Larson E., Qu F., Mentch F., Giles G.G., Hakonarson H., Hampel H., Stanaway I.B., Figueiredo J.C., Minnier J., Chang-Claude J., Hampe J., Harley J.B., Visvanathan K., Curtis K.R., Offit K., Li L., Le Marchand L., Vodickova L., Gunter M.J., Jenkins M.A., Slattery M.L., Lemire M., Woods M.O., Song M., Murphy N., Lindor N.M., Dikilitas O., Pharoah P.D.P., Campbell P.T., Newcomb P.A., Milne R.L., MacInnis R.J., Castellvi-Bel S., Ogino S., Berndt S.I., Bezieau S., Thibodeau S.N., Gallinger S.J., Zaidi S.H., Harrison T.A., Keku T.O., Hudson T.J., Vymetalkova V., Moreno V., Martin V., Arndt V., Wei W.-Q., Chung W., Su Y.-R., Hayes R.B., White E., Vodicka P., Casey G., Gruber S.B., Schoen R.E., Chan A.T., Potter J.D., Brenner H., Jarvik G.P., Corley D.A., Peters U., and Hsu L.

Abstract

Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might be

Published
2020

24. Dysfunctional epigenetic aging of the normal colon and colorectal cancer risk.

Author

Willbanks A.R., Grady W.M., Yu M., Wang T., Maden S.K., Luebeck G.E., Li C.I., Luo Y., Newcomb P.A., Ulrich C.M., Joo J.-H.E., Buchanan D.D., Milne R.L., Southey M.C., Carter K.T., Willbanks A.R., Grady W.M., Yu M., Wang T., Maden S.K., Luebeck G.E., Li C.I., Luo Y., Newcomb P.A., Ulrich C.M., Joo J.-H.E., Buchanan D.D., Milne R.L., Southey M.C., and Carter K.T.

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. Method(s): 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. Result(s): 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 x 10-30). The PhenoAge clock (p = 0.0012) revealed epigenetic age deceleration in the high-risk group compared to the low-risk group. Conclusion(s): 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 e

Published
2020

25. 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.

Author

English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., van Duijnhoven F.J.B., English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., and van Duijnhoven F.J.B.

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. Method(s): 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 x 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 x 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene re

Published
2020

26. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study.

Author

Hsu L., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Burnett-Hartman A., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., Cross A.J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Gapstur S.M., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Huang W.-Y., Huyghe J.R., Jenkins M.A., Joshu C.E., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., May A.M., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Phipps A.I., Platz E.A., Potter J.D., Qu C., Quiros J.R., Rennert G., Riboli E., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Tsilidis K.K., Ulrich C.M., van Duijnhoven F.J.B., van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Campbell P.T., Zheng W., Peters U., Vincent E.E., Gunter M.J., Bull C.J., Bell J.A., Murphy N., Sanderson E., Davey Smith G., Timpson N.J., Banbury B.L., Albanes D., Hsu L., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Burnett-Hartman A., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., Cross A.J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Gapstur S.M., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Huang W.-Y., Huyghe J.R., Jenkins M.A., Joshu C.E., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., May A.M., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Phipps A.I., Platz E.A., Potter J.D., Qu C., Quiros J.R., Rennert G., Riboli E., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Tsilidis K.K., Ulrich C.M., van Duijnhoven F.J.B., van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Campbell P.T., Zheng W., Peters U., Vincent E.E., Gunter M.J., Bull C.J., Bell J.A., Murphy N., Sanderson E., Davey Smith G., Timpson N.J., Banbury B.L., and Albanes D.

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. Method(s): 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. Result(s): 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

Published
2020

27. Bacterial folate biosynthesis and colorectal cancer risk: more than just a gut feeling

Author

Kok, D.E.G., Steegenga, W.T., Smid, E.J., Zoetendal, E.G., Ulrich, C.M., Kampman, E., Kok, D.E.G., Steegenga, W.T., Smid, E.J., Zoetendal, E.G., Ulrich, C.M., and Kampman, E.

Abstract

Folate is a B-vitamin with an important role in health and disease. The optimal folate status with regard to human health remains controversial. A low intake of natural folate as well as excessive intake of synthetic folic acid, were previously linked to an increased risk of colorectal cancer or with aberrant molecular pathways related to carcinogenesis in some studies. Importantly, most studies conducted so far, solely focused on dietary intake or circulating levels of folate in relation to cancer risk. Notably, diet or dietary supplements are not the only sources of folate. Several bacteria in the gastrointestinal tract can synthesize B-vitamins, including folate, in quantities that resemble dietary intake. The impact of bacterial folate biosynthesis concerning human health and disease remains unexplored. This review highlights current insights into folate biosynthesis by intestinal bacteria and its implications for processes relevant to cancer development, such as epigenetic DNA modifications and DNA synthesis. Moreover, we will reflect on the emerging question whether food-grade or intestinal bacteria can be considered a potential target to ensure sufficient levels of folate in the gastrointestinal tract and, hence the relevance of bacterial folate biosynthesis for disease prevention or treatment.Keywords: Folate, biosynthesis, colon, intestinal bacteria, colorectal cancer, DNA methylation, one-carbon metabolism

Published
2020

28. MTHFR variants reduce the risk of G:C[arrow right]A:T transition mutations within the p53 tumor suppressor gene in colon tumors

Author

Ulrich, C.M., Curtin, K., Samowitz, W., Bigler, J., Potter, J.D., Caan, B., and Slattery, M.L.

Subjects
Colon cancer -- Research, Mutagenesis -- Research, Enzymes -- Research, Food/cooking/nutrition
Abstract

5,10-Methylene-tetrahydrofolate reductase (MTHFR) is a key enzyme in folate-mediated 1-carbon metabolism. Reduced MTHFR activity has been associated with genomic DNA hypomethylation. Methylated cytosines at CpG sites are easily mutated and have been implicated in G:C[right arrow]A:T transitions in the p53 tumor suppressor gene. We investigated 2 polymorphisms in the MTHFR gene (C677T and A1298C) and their associations with colon tumor characteristics, including acquired mutations in Ki-ras and p53 genes and microsatellite instability (MSI). The study population comprised 1248 colon cancer cases and 1972 controls, who participated in a population-based case-control study and had been analyzed previously for MSl, acquired mutations in Ki-ras, p53, and germline MTHFR polymorphisms. Multivariable-adjusted odds ratios are presented. Overall, MTHFR genotypes were not associated with MSI status or the presence of any p53 or Ki-ras mutation. Individuals with homozygous variant MTHFR genotypes had a significantly reduced risk of G:C[right arrow]A:T transition mutations within the p53 gene, yet, as hypothesized, only at CpG-associated sites [677TT vs. 677CC (referent group) OR = 0.4 (95% CI: 0.1-0.8) for CpG-associated sites; OR = 1.5 (0.7-3.6) for non-CpG associated sites]. Genotypes conferring reduced MTHFR activity were associated with a decreased risk of acquired G:C[right arrow]A:T mutations within the p53 gene occurring at CpG sites. Consistent with evidence on the phenotypic effect of the MTHFR C677T variant, we hypothesize that this relation may be explained by modestly reduced genomic DNA methylation, resulting in a lower probability of spontaneous deamination of methylated cytosine to thymidine. These results suggest a novel mechanism by which MTHFR polymorphisms can affect the risk of colon cancer. KEY WORDS: * MTHFR * colon cancer * microsatellite instability * mutagenesis * Ki-ras * p53 * folate

Published
2005

29. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

Author

Bien, S.A. Su, Y.-R. Conti, D.V. Harrison, T.A. Qu, C. Guo, X. Lu, Y. Albanes, D. Auer, P.L. Banbury, B.L. Berndt, S.I. Bézieau, S. Brenner, H. Buchanan, D.D. Caan, B.J. Campbell, P.T. Carlson, C.S. Chan, A.T. Chang-Claude, J. Chen, S. Connolly, C.M. Easton, D.F. Feskens, E.J.M. Gallinger, S. Giles, G.G. Gunter, M.J. Hampe, J. Huyghe, J.R. Hoffmeister, M. Hudson, T.J. Jacobs, E.J. Jenkins, M.A. Kampman, E. Kang, H.M. Kühn, T. Küry, S. Lejbkowicz, F. Le Marchand, L. Milne, R.L. Li, L. Li, C.I. Lindblom, A. Lindor, N.M. Martín, V. McNeil, C.E. Melas, M. Moreno, V. Newcomb, P.A. Offit, K. Pharaoh, P.D.P. Potter, J.D. Qu, C. Riboli, E. Rennert, G. Sala, N. Schafmayer, C. Scacheri, P.C. Schmit, S.L. Severi, G. Slattery, M.L. Smith, J.D. Trichopoulou, A. Tumino, R. Ulrich, C.M. van Duijnhoven, F.J.B. Van Guelpen, B. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Abecasis, G.R. Casey, G. Nickerson, D.A. Gruber, S.B. Hsu, L. Zheng, W. Peters, U.

Abstract

Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10− 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10− 4, replication P = 6.7 × 10− 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight into, risk loci. © 2019, The Author(s).

Published
2019

30. Discovery of common and rare genetic risk variants for colorectal cancer

Author

Huyghe, J.R. Bien, S.A. Harrison, T.A. Kang, H.M. Chen, S. Schmit, S.L. Conti, D.V. Qu, C. Jeon, J. Edlund, C.K. Greenside, P. Wainberg, M. Schumacher, F.R. Smith, J.D. Levine, D.M. Nelson, S.C. Sinnott-Armstrong, N.A. Albanes, D. Alonso, M.H. Anderson, K. Arnau-Collell, C. Arndt, V. Bamia, C. Banbury, B.L. Baron, J.A. Berndt, S.I. Bézieau, S. Bishop, D.T. Boehm, J. Boeing, H. Brenner, H. Brezina, S. Buch, S. Buchanan, D.D. Burnett-Hartman, A. Butterbach, K. Caan, B.J. Campbell, P.T. Carlson, C.S. Castellví-Bel, S. Chan, A.T. Chang-Claude, J. Chanock, S.J. Chirlaque, M.-D. Cho, S.H. Connolly, C.M. Cross, A.J. Cuk, K. Curtis, K.R. de la Chapelle, A. Doheny, K.F. Duggan, D. Easton, D.F. Elias, S.G. Elliott, F. English, D.R. Feskens, E.J.M. Figueiredo, J.C. Fischer, R. FitzGerald, L.M. Forman, D. Gala, M. Gallinger, S. Gauderman, W.J. Giles, G.G. Gillanders, E. Gong, J. Goodman, P.J. Grady, W.M. Grove, J.S. Gsur, A. Gunter, M.J. Haile, R.W. Hampe, J. Hampel, H. Harlid, S. Hayes, R.B. Hofer, P. Hoffmeister, M. Hopper, J.L. Hsu, W.-L. Huang, W.-Y. Hudson, T.J. Hunter, D.J. Ibañez-Sanz, G. Idos, G.E. Ingersoll, R. Jackson, R.D. Jacobs, E.J. Jenkins, M.A. Joshi, A.D. Joshu, C.E. Keku, T.O. Key, T.J. Kim, H.R. Kobayashi, E. Kolonel, L.N. Kooperberg, C. Kühn, T. Küry, S. Kweon, S.-S. Larsson, S.C. Laurie, C.A. Le Marchand, L. Leal, S.M. Lee, S.C. Lejbkowicz, F. Lemire, M. Li, C.I. Li, L. Lieb, W. Lin, Y. Lindblom, A. Lindor, N.M. Ling, H. Louie, T.L. Männistö, S. Markowitz, S.D. Martín, V. Masala, G. McNeil, C.E. Melas, M. Milne, R.L. Moreno, L. Murphy, N. Myte, R. Naccarati, A. Newcomb, P.A. Offit, K. Ogino, S. Onland-Moret, N.C. Pardini, B. Parfrey, P.S. Pearlman, R. Perduca, V. Pharoah, P.D.P. Pinchev, M. Platz, E.A. Prentice, R.L. Pugh, E. Raskin, L. Rennert, G. Rennert, H.S. Riboli, E. Rodríguez-Barranco, M. Romm, J. Sakoda, L.C. Schafmayer, C. Schoen, R.E. Seminara, D. Shah, M. Shelford, T. Shin, M.-H. Shulman, K. Sieri, S. Slattery, M.L. Southey, M.C. Stadler, Z.K. Stegmaier, C. Su, Y.-R. Tangen, C.M. Thibodeau, S.N. Thomas, D.C. Thomas, S.S. Toland, A.E. Trichopoulou, A. Ulrich, C.M. Van Den Berg, D.J. van Duijnhoven, F.J.B. Van Guelpen, B. van Kranen, H. Vijai, J. Visvanathan, K. Vodicka, P. Vodickova, L. Vymetalkova, V. Weigl, K. Weinstein, S.J. White, E. Win, A.K. Wolf, C.R. Wolk, A. Woods, M.O. Wu, A.H. Zaidi, S.H. Zanke, B.W. Zhang, Q. Zheng, W. Scacheri, P.C. Potter, J.D. Bassik, M.C. Kundaje, A. Casey, G. Moreno, V. Abecasis, G.R. Nickerson, D.A. Gruber, S.B. Hsu, L. Peters, U.

Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10 −8 , bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development. © 2018, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Published
2019

31. Correction to: Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer (Human Genetics, (2019), 138, 4, (307-326), 10.1007/s00439-019-01989-8)

Author

Bien, S.A. Su, Y.-R. Conti, D.V. Harrison, T.A. Qu, C. Guo, X. Lu, Y. Albanes, D. Auer, P.L. Banbury, B.L. Berndt, S.I. Bézieau, S. Brenner, H. Buchanan, D.D. Caan, B.J. Campbell, P.T. Carlson, C.S. Chan, A.T. Chang-Claude, J. Chen, S. Connolly, C.M. Easton, D.F. Feskens, E.J.M. Gallinger, S. Giles, G.G. Gunter, M.J. Hampe, J. Huyghe, J.R. Hoffmeister, M. Hudson, T.J. Jacobs, E.J. Jenkins, M.A. Kampman, E. Kang, H.M. Kühn, T. Küry, S. Lejbkowicz, F. Le Marchand, L. Milne, R.L. Li, L. Li, C.I. Lindblom, A. Lindor, N.M. Martín, V. McNeil, C.E. Melas, M. Moreno, V. Newcomb, P.A. Offit, K. Pharaoh, P.D.P. Potter, J.D. Qu, C. Riboli, E. Rennert, G. Sala, N. Schafmayer, C. Scacheri, P.C. Schmit, S.L. Severi, G. Slattery, M.L. Smith, J.D. Trichopoulou, A. Tumino, R. Ulrich, C.M. van Duijnhoven, F.J.B. Van Guelpen, B. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Abeçasis, G.R. Casey, G. Nickerson, D.A. Gruber, S.B. Hsu, L. Zheng, W. Peters, U.

Abstract

Every author has erroneously been assigned to the affiliation “62”. The affiliation 62 belongs to the author Graham Casey. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

Published
2019

32. Plasma metabolites associated with colorectal cancer: A discovery-replication strategy

Author

Geijsen, A., Brezina, S., Keski-Rahkonen, P., Baierl, A., Bachleitner-Hofmann, T., Bergmann, M.M., Boehm, J., Brenner, H., Chang-Claude, J., Duijnhoven, F. J. B. van, Gigic, B., Gumpenberger, T., Hofer, P., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Kok, D.E., Leeb, G., Ulvik, A., Robinot, N., Ose, J., Stift, A., Schrotz-King, P., Ulrich, A.B., Ueland, P.M., Kampman, E., Scalbert, A., Habermann, N., Gsur, A., Ulrich, C.M., Geijsen, A., Brezina, S., Keski-Rahkonen, P., Baierl, A., Bachleitner-Hofmann, T., Bergmann, M.M., Boehm, J., Brenner, H., Chang-Claude, J., Duijnhoven, F. J. B. van, Gigic, B., Gumpenberger, T., Hofer, P., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Kok, D.E., Leeb, G., Ulvik, A., Robinot, N., Ose, J., Stift, A., Schrotz-King, P., Ulrich, A.B., Ueland, P.M., Kampman, E., Scalbert, A., Habermann, N., Gsur, A., and Ulrich, C.M.

Abstract

Contains fulltext : 208825.pdf (publisher's version ) (Open Access), Colorectal cancer is known to arise from multiple tumorigenic pathways; however, the underlying mechanisms remain not completely understood. Metabolomics is becoming an increasingly popular tool in assessing biological processes. Previous metabolomics research focusing on colorectal cancer is limited by sample size and did not replicate findings in independent study populations to verify robustness of reported findings. Here, we performed a ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) screening on EDTA plasma from 268 colorectal cancer patients and 353 controls using independent discovery and replication sets from two European cohorts (ColoCare Study: n = 180 patients/n = 153 controls; the Colorectal Cancer Study of Austria (CORSA) n = 88 patients/n = 200 controls), aiming to identify circulating plasma metabolites associated with colorectal cancer and to improve knowledge regarding colorectal cancer etiology. Multiple logistic regression models were used to test the association between disease state and metabolic features. Statistically significant associated features in the discovery set were taken forward and tested in the replication set to assure robustness of our findings. All models were adjusted for sex, age, BMI and smoking status and corrected for multiple testing using False Discovery Rate. Demographic and clinical data were abstracted from questionnaires and medical records.

Published
2019

33. Shared heritability and functional enrichment across six solid cancers.

Author

Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tangen C.M., Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., and Tangen C.M.

Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 x 10-8), breast and ovarian cancer (rg = 0.24, p = 7 x 10-5), breast and lung cancer (rg = 0.18, p =1.5 x 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 x 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.Copyright © 2019, The Author(s).

Published
2019

34. Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature Communications, (2019), 10, 1, (431), 10.1038/s41467-018-08054-4).

Author

Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., and Wu A.H.

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.Copyright © 2019, The Author(s).

Published
2019

35. Mendelian randomization study of height and risk of colorectal cancer

Author

Thrift, A.P., Gong, J., Peters, U., Chang-Claude, J., Rudolph, A., Slattery, M.L., Chan, A.T., Esko, T., Wood, A.R., Yang, J., Vedantam, S., Gustafsson, S., Pers, T.H., GIANT Consortium (Albrecht, E., Gieger, C., Grallert, H., Heid, I.M., Illig, T., Müller-Nurasyid, M., Peters, A., Thorand, B., Wichmann, H.-E.), Baron, J.A., Bézieau, S., Kuery, S., Ogino, S., Berndt, S.I., Casey, G., Haile, R.W., Du, M., Harrison, T.A., Thornquist, M., Duggan, D.J., Le Marchand, L., Lemire, M., Lindor, N.M., Seminara, D., Song, M., Thibodeau, S.N., Cotterchio, M., Win, A.K., Jenkins, M.A., Hopper, J.L., Ulrich, C.M., Potter, J.D., Newcomb, P.A., Schoen, R.E., Hoffmeister, M., Brenner, H., White, E.S., Hsu, L.A., and Campbell, P.T.

Subjects
Male, Gerontology, medicine.medical_specialty, Mendelian Randomization Causal Analysis, Epidemiology, Logistic regression, Risk Factors, Mendelian randomization, Humans, Medicine, Sex Distribution, Body Height, Colorectal Cancer, Aged, Rectal Neoplasms, business.industry, Confounding, Case-control study, General Medicine, Odds ratio, Mendelian Randomization Analysis, Middle Aged, digestive system diseases, Confidence interval, Genetic epidemiology, Case-Control Studies, Colonic Neoplasms, Female, business, Demography
Abstract

Background: For men and women, taller height is associated with increased risk of all cancers combined. For colorectal cancer (CRC), it is unclear whether the differential association of height by sex is real or is due to confounding or bias inherent in observational studies. We performed a Mendelian randomization study to examine the association between height and CRC risk. Methods: To minimize confounding and bias, we derived a weighted genetic risk score predicting height (using 696 genetic variants associated with height) in 10 226 CRC cases and 10 286 controls. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for associations between height, genetically predicted height and CRC. Results: Using conventional methods, increased height (per 10-cm increment) was associated with increased CRC risk (OR = 1.08, 95% CI = 1.02–1.15). In sex-specific analyses, height was associated with CRC risk for women (OR = 1.15, 95% CI = 1.05–1.26), but not men (OR = 0.98, 95% CI = 0.92–1.05). Consistent with these results, carrying greater numbers of (weighted) height-increasing alleles (per 1-unit increase) was associated with higher CRC risk for women and men combined (OR = 1.07, 95% CI = 1.01–1.14) and for women (OR = 1.09, 95% CI = 1.01–1.19). There was weaker evidence of an association for men (OR = 1.05, 95% CI = 0.96–1.15). Conclusion: We provide evidence for a causal association between height and CRC for women. The CRC-height association for men remains unclear and warrants further investigation in other large studies.

Published
2015

36. 971: Epigenetic gender differences in colorectal cancer

Author

Toth, R., primary, Habermann, N., additional, Scherer, D., additional, Gigic, B., additional, Schrotz-King, P., additional, Staffa, J., additional, Ulrich, A., additional, Herpel, E., additional, Brenner, H., additional, and Ulrich, C.M., additional

Published
2014
Full Text
View/download PDF

37. Lack of association between the 677 C to T polymorphism and colorectal hyperplastic polyps

Author

Ulrich, C.M., Kampman, E., Bigler, J., Schwartz, S.M., Chen, C., Bostick, R., and Fosdick, L.

Subjects
Humane Voeding & Gezondheid, Life Science, digestive system diseases, VLAG, Human Nutrition & Health
Abstract

Colorectal hyperplastic polyps are benign lesions that share many risk factors with colorectal adenomas and cancers. Low folate intakes are associated with an increased risk of colon cancer. The enzyme 5,10-methylene-tetrahydrofolate reductase (MTHFR) may be linked to DNA methylation and nucleotide synthesis and thus play a role in the etiology of colorectal neoplasia. We investigated an association between the common MTHFR polymorphism (C677T) and colorectal hyperplastic polyps within the Minnesota Cancer Prevention Research Unit case-control study. Cases (n = 200) were diagnosed with colonoscopically confirmed hyperplastic polyps; controls (n = 645) were derived from the same gastroenterology practice and were polyp-free at colonoscopy. Dietary intakes were estimated from a self-administered food-frequency questionnaire prior to colonoscopy. Multivariate adjusted odds ratios (ORs) and 95␌onfidence intervals for MTHFR status were 0.8 (0.6–1.2; CT versus CC wild-type) and 0.9 (0.5–1.6; TT versus CC). In subgroup analyses stratified on dietary intakes of folate, vitamin B12, vitamin B6, or methionine, those with the TT genotype and either low intakes of folate or vitamin B6 were at increased risk relative to those with normal or high vitamin intake. However, most 95␌onfidence intervals included 1.0, and no consistent trends were observed. In contrast to our findings on colorectal adenomas, increasing alcohol consumption was associated with an elevated risk of colorectal hyperplastic polyps, regardless of genotype. The MTHFR (C677T) variant genotype does not appear to be related to risk of colorectal hyperplastic polyps, and there is no convincing evidence that MTHFR shows a different relation to risk, dependent on dietary intakes of nutrients related to its pathway.

Published
2000

39. DNA methyltransferase and alcohol dehydrogenase: gene-nutrient interactions in relation to risk of colorectal polyps.

Author

Jung, A.Y., Poole, E.M., Bigler, J., Whitton, J., Potter, J.D., Ulrich, C.M., Jung, A.Y., Poole, E.M., Bigler, J., Whitton, J., Potter, J.D., and Ulrich, C.M.

Abstract

Contains fulltext : 69076.pdf (publisher's version ) (Closed access), Disturbances in DNA methylation are a characteristic of colorectal carcinogenesis. Folate-mediated one-carbon metabolism is essential for providing one-carbon groups for DNA methylation via DNA methyltransferases (DNMTs). Alcohol, a folate antagonist, could adversely affect one-carbon metabolism. In a case-control study of colorectal polyps, we evaluated three single nucleotide polymorphisms (-149C>T, -283T>C, -579G>T) in the promoter region of the DNMT3b gene, and a functional polymorphism in the coding region of the alcohol dehydrogenase ADH1C gene, ADH1C *2. Cases had a first diagnosis of colorectal adenomatous (n = 530) or hyperplastic (n = 202) polyps at the time of colonoscopy, whereas controls were polyp-free (n = 649). Multivariate logistic regression analysis was used to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI). There were no significant main associations between the DNMT3b or ADH1C polymorphisms and polyp risk. However, DNMT3b -149TT was associated with an increase in adenoma risk among individuals with low folate and methionine intake (OR, 2.00; 95% CI, 1.06-3.78, P interaction = 0.10). The ADH1C *2/*2 genotype was associated with a possibly elevated risk for adenomatous polyps among individuals who consumed >26 g of alcohol/d (OR, 1.95; 95% CI, 0.60-6.30), whereas individuals who were wild-type for ADH1C were not at increased risk of adenoma (P interaction = 0.01). These gene-diet interactions suggest that polymorphisms relevant to DNA methylation or alcohol metabolism may play a role in colorectal carcinogenesis in conjunction with a high-risk diet.

Published
2008

42. Effects and moderators of exercise on sleep in adults with cancer: Individual patient data and aggregated meta-analyses

Author

Bernard, P., Savard, J., Steindorf, K., Sweegers, M.G., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., May, A.M., Galvao, D.A., Chinapaw, M.J., Stuiver, M.M., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Bohus, M., Thorsen, L., Schmidt, M.E., Ulrich, C.M., Sonke, G.S., van Harten, W., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., van Mechelen, W., Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., Buffart, L.M., Bernard, P., Savard, J., Steindorf, K., Sweegers, M.G., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., May, A.M., Galvao, D.A., Chinapaw, M.J., Stuiver, M.M., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Bohus, M., Thorsen, L., Schmidt, M.E., Ulrich, C.M., Sonke, G.S., van Harten, W., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., van Mechelen, W., Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., and Buffart, L.M.

44. A Review of the Application of Inflammatory Biomarkers in Epidemiologic Cancer Research

Author

Rayjean J. Hung, Darren R. Brenner, Paolo Boffetta, Cornelia M. Ulrich, Joellen M. Schildkraut, Ellen L. Goode, Margaret R. Spitz, Kenneth Muir, Dominique Scherer, Loic Le Marchand, Andrew T. Chan, Brenner, D.R., Scherer, D., Muir, K., Schildkraut, J., Boffetta, P., Spitz, M.R., Marchand, L.L., Chan, A.T., Goode, E.L., Ulrich, C.M., and Hung, R.J.

Subjects
Inflammation, Chemokine, Innate immune system, biology, Epidemiology, Angiogenesis, Cancer, medicine.disease, Inflammatory biomarkers, Article, Oncology, Neoplasms, Immunology, Biomarkers, Tumor, medicine, biology.protein, Humans, Inflammation Mediators, medicine.symptom, Epidemiologic Methods, multiple cancer types, Transcription factor, Cancer Etiology
Abstract

Inflammation is a facilitating process for multiple cancer types. It is believed to affect cancer development and progression through several etiologic pathways, including increased levels of DNA adduct formation, increased angiogenesis, and altered antiapoptotic signaling. This review highlights the application of inflammatory biomarkers in epidemiologic studies and discusses the various cellular mediators of inflammation characterizing the innate immune system response to infection and chronic insult from environmental factors. Included is a review of six classes of inflammation-related biomarkers: cytokines/chemokines, immune-related effectors, acute-phase proteins, reactive oxygen and nitrogen species, prostaglandins and cyclooxygenase-related factors, and mediators such as transcription factors and growth factors. For each of these biomarkers, we provide a brief overview of the etiologic role in the inflammation response and how they have been related to cancer etiology and progression within the literature. We provide a discussion of the common techniques available for quantification of each marker, including strengths, weaknesses, and potential pitfalls. Subsequently, we highlight a few under-studied measures to characterize the inflammatory response and their potential utility in epidemiologic studies of cancer. Finally, we suggest integrative methods for future studies to apply multifaceted approaches to examine the relationship between inflammatory markers and their roles in cancer development. Cancer Epidemiol Biomarkers Prev; 23(9); 1729–51. ©2014 AACR.

Published
2014

45. Cohorts and consortia conference: a summary report (Banff, Canada, June 17–19, 2009)

Author

Boffetta, Paolo, Colditz, Graham A, Potter, John D, Kolonel, Laurence, Robson, Paula J, Malekzadeh, Reza, Seminara, Daniela, Goode, Ellen L, Yoo, Keun-Young, Demers, Paul, Gallagher, Richard, Prentice, Ross, Yasui, Yutaka, O’Doherty, Kieran, Petersen, Gloria M, Ulrich, Cornelia M, Csizmadi, Ilona, Amankwah, Ernest K, Brockton, Nigel T, Friedenreich, Christine M, Kopciuk, Karen, McGregor, S Elizabeth, Kelemen, Linda E, Boffetta, P., Colditz, G.A., Potter, J.D., Kolonel, L., Robson, P.J., Malekzadeh, R., Seminara, D., Goode, E.L., Yoo, K.-Y., Demers, P., Gallagher, R., Prentice, R., Yasui, Y., O'Doherty, K., Petersen, G.M., Ulrich, C.M., Csizmadi, I., Amankwah, E.K., Brockton, N.T., Kopciuk, K., McGregor, S.E., and Kelemen, L.E.

Subjects
Cancer Research, medicine.medical_specialty, Operations research, Ethical issues, business.industry, Public health, Data harmonization, Small sample, Biobank, Article, Oncology, Consortia, Molecular epidemiology, Family medicine, Epidemiology, Cohort, medicine, Life course approach, Ethic, business, Cohort studie, Cancer, Cohort study
Abstract

Epidemiologic studies have adapted to the genomics era by forming large international consortia to overcome issues of large data volume and small sample size. Whereas both cohort and well-conducted case-control studies can inform disease risk from genetic susceptibility, cohort studies offer the additional advantages of assessing lifestyle and environmental exposure-disease time sequences often over a life course. Consortium involvement poses several logistical and ethical issues to investigators, some of which are unique to cohort studies, including the challenge to harmonize prospectively collected lifestyle and environmental exposures validly across individual studies. An open forum to discuss the opportunities and challenges of large-scale cohorts and their consortia was held in June 2009 in Banff, Canada, and is summarized in this report. © Springer Science+Business Media B.V. 2010.

Published
2011

46. Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer

Author

Kenneth Muir, Christopher A. Haiman, S. Lindstrom, Nicholas Wentzensen, Ali A min Al Olama, Rosalind A. Eeles, Heike Bickeböller, Rayjean J. Hung, Loic L e Marchand, Stephen J. Chanock, Brooke L. Fridley, David C. Christiani, Christopher I. Amos, Brian E. Henderson, Peter Kraft, Richard S. Houlston, Zhihua Chen, P Brennan, David N. Rider, Ulrike Peters, Angela Risch, Graham Casey, Joellen M. Schildkraut, Andrew T. Chan, Paolo Boffetta, Catherine M. Phelan, John K. Field, Douglas F. Easton, Stephen B. Gruber, Julia G. Poirier, Cornelia M. Ulrich, Ellen L. Goode, Honglin Song, Sonja I. Berndt, John S. Witte, Fredrik Wiklund, Z Kote-Jarai, M. T. Landi, Henrik Grönberg, Fredrick R. Schumacher, Thomas A. Sellers, Yonathan Brhane, Margaret R. Spitz, David J. Hunter, Martha L. Slattery, Hung, R.J., Ulrich, C.M., Goode, E.L., Brhane, Y., Muir, K., Chan, A.T., Marchand, L.L., Schildkraut, J., Witte, J.S., Eeles, R., Boffetta, P., Spitz, M.R., Poirier, J.G., Rider, D.N., Fridley, B.L., Chen, Z., Haiman, C., Schumacher, F., Easton, D.F., Landi, M.T., Brennan, P., Houlston, R., Christiani, D.C., Field, J.K., Bickeböller, H., Risch, A., Kote-Jarai, Z., Wiklund, F., Grönberg, H., Chanock, S., Berndt, S.I., Kraft, P., Lindström, S., Al Olama, A.A., Song, H., Phelan, C., Wentzensen, N., Peters, U., Slattery, M.L., Sellers, T.A., Casey, G., Gruber, S.B., Hunter, D.J., Amos, C.I., and Henderson, B.

Subjects
Oncology, Male, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Colorectal cancer, Genome-wide association study, Breast Neoplasms, Disease, Mouse model of colorectal and intestinal cancer, Biology, Article, Breast cancer, Prostate, Internal medicine, medicine, Humans, Lung cancer, Adaptor Proteins, Signal Transducing, Inflammation, Ovarian Neoplasms, Lung, ovary, prostate, breast, and colorectal cancer, Intracellular Signaling Peptides and Proteins, Prostatic Neoplasms, Proteins, medicine.disease, 3. Good health, medicine.anatomical_structure, Female, Ovarian cancer, Colorectal Neoplasms, Genome-Wide Association Study, Signal Transduction
Abstract

Background: Inflammation has been hypothesized to increase the risk of cancer development as an initiator or promoter, yet no large-scale study of inherited variation across cancer sites has been conducted. Methods: We conducted a cross-cancer genomic analysis for the inflammation pathway based on 48 genome-wide association studies within the National Cancer Institute GAME-ON Network across five common cancer sites, with a total of 64 591 cancer patients and 74 467 control patients. Subset-based meta-analysis was used to account for possible disease heterogeneity, and hierarchical modeling was employed to estimate the effect of the subcomponents within the inflammation pathway. The network was visualized by enrichment map. All statistical tests were two-sided. Results: We identified three pleiotropic loci within the inflammation pathway, including one novel locus in Ch12q24 encoding SH2B3 (rs3184504), which reached GWAS significance with a P value of 1.78 x 10-8, and it showed an association with lung cancer (P = 2.01 x 10-6), colorectal cancer (GECCO P = 6.72x10-6; CORECT P = 3.32x10-5), and breast cancer (P = .009). We also identified five key subpathway components with genetic variants that are relevant for the risk of these five cancer sites: inflammatory response for colorectal cancer (P = .006), inflammation related cell cycle gene for lung cancer (P = 1.35x10-6), and activation of immune response for ovarian cancer (P = .009). In addition, sequence variations in immune system development played a role in breast cancer etiology (P = .001) and innate immune response was involved in the risk of both colorectal (P = .022) and ovarian cancer (P = .003). Conclusions: Genetic variations in inflammation and its related subpathway components are keys to the development of lung, colorectal, ovary, and breast cancer, including SH2B3, which is associated with lung, colorectal, and breast cancer. © The Author 2015. Published by Oxford University Press. All rights reserved.

Published
2014

Catalog

Books, media, physical & digital resources
See catalog results