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1. Characteristics of the Million Women Study participants who have and have not worked at night

Author

Xiao-Si Wang, Ruth C Travis, Gillian Reeves, Jane Green, Naomi E Allen, Tim J Key, Andrew W Roddam, and Valerie Beral

Subjects
sleep, shift work, night work, million women study, risk factor, vascular disease, cohort, cancer, Public aspects of medicine, RA1-1270
Abstract

OBJECTIVES: The aim of this study was to compare the characteristics of women who had and had not worked at night in terms of their risk factors for common disease, indicators of general health, social activities, employment, and sleep behavior. METHODS: The Million Women Study is a large prospective cohort study of women’s health in the United Kingdom with 1.3 million women recruited during 1996–2001 (aged 50–64 years) through 66 National Health Service breast screening centers. We analyzed the data from a random sample of 41 652 participants who, in 2009–2010, reported their history of night work. RESULTS: Of the participants, 1 in 8 women (13%) reported that they had ever worked at night and 1 in 50 (2%) reported working at night for ≥20 years. For 33 sociodemographic, behavioral, reproductive, and hormonal factors examined, 20 showed highly significant differences between “ever” and “never” night workers (P

Published
2012
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2. Identifying proteomic risk factors for cancer using prospective and exome analyses of 1463 circulating proteins and risk of 19 cancers in the UK Biobank

Author

Keren Papier, Joshua R. Atkins, Tammy Y. N. Tong, Kezia Gaitskell, Trishna Desai, Chibuzor F. Ogamba, Mahboubeh Parsaeian, Gillian K. Reeves, Ian G. Mills, Tim J. Key, Karl Smith-Byrne, and Ruth C. Travis

Subjects
Science
Abstract

Abstract The availability of protein measurements and whole exome sequence data in the UK Biobank enables investigation of potential observational and genetic protein-cancer risk associations. We investigated associations of 1463 plasma proteins with incidence of 19 cancers and 9 cancer subsites in UK Biobank participants (average 12 years follow-up). Emerging protein-cancer associations were further explored using two genetic approaches, cis-pQTL and exome-wide protein genetic scores (exGS). We identify 618 protein-cancer associations, of which 107 persist for cases diagnosed more than seven years after blood draw, 29 of 618 were associated in genetic analyses, and four had support from long time-to-diagnosis ( > 7 years) and both cis-pQTL and exGS analyses: CD74 and TNFRSF1B with NHL, ADAM8 with leukemia, and SFTPA2 with lung cancer. We present multiple blood protein-cancer risk associations, including many detectable more than seven years before cancer diagnosis and that had concordant evidence from genetic analyses, suggesting a possible role in cancer development.

Published
2024
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3. Tinned fruit consumption and mortality in three prospective cohorts.

Author

Erlend T Aasheim, Stephen J Sharp, Paul N Appleby, Martin J Shipley, Marleen A H Lentjes, Kay-Tee Khaw, Eric Brunner, Tim J Key, and Nicholas J Wareham

Subjects
Medicine, Science
Abstract

Dietary recommendations to promote health include fresh, frozen and tinned fruit, but few studies have examined the health benefits of tinned fruit. We therefore studied the association between tinned fruit consumption and mortality. We followed up participants from three prospective cohorts in the United Kingdom: 22,421 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohort (1993-2012), 52,625 participants from the EPIC-Oxford cohort (1993-2012), and 7440 participants from the Whitehall II cohort (1991-2012), all reporting no history of heart attack, stroke, or cancer when entering these studies. We estimated the association between frequency of tinned fruit consumption and all cause mortality (primary outcome measure) using Cox regression models within each cohort, and pooled hazard ratios across cohorts using random-effects meta-analysis. Tinned fruit consumption was assessed with validated food frequency questionnaires including specific questions about tinned fruit. During 1,305,330 person years of follow-up, 8857 deaths occurred. After adjustment for lifestyle factors and risk markers the pooled hazard ratios (95% confidence interval) of all cause mortality compared with the reference group of tinned fruit consumption less often than one serving per month were: 1.05 (0.99, 1.12) for one to three servings per month, 1.10 (1.03, 1.18) for one serving per week, and 1.13 (1.04, 1.23) for two or more servings per week. Analysis of cause-specific mortality showed that tinned fruit consumption was associated with mortality from cardiovascular causes and from non-cardiovascular, non-cancer causes. In a pooled analysis of three prospective cohorts from the United Kingdom self-reported tinned fruit consumption in the 1990s was weakly but positively associated with mortality during long-term follow-up. These findings raise questions about the evidence underlying dietary recommendations to promote tinned fruit consumption as part of a healthy diet.

Published
2015
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4. Fine-mapping the HOXB region detects common variants tagging a rare coding allele: evidence for synthetic association in prostate cancer.

Author

Edward J Saunders, Tokhir Dadaev, Daniel A Leongamornlert, Sarah Jugurnauth-Little, Malgorzata Tymrakiewicz, Fredrik Wiklund, Ali Amin Al Olama, Sara Benlloch, David E Neal, Freddie C Hamdy, Jenny L Donovan, Graham G Giles, Gianluca Severi, Henrik Gronberg, Markus Aly, Christopher A Haiman, Fredrick Schumacher, Brian E Henderson, Sara Lindstrom, Peter Kraft, David J Hunter, Susan Gapstur, Stephen Chanock, Sonja I Berndt, Demetrius Albanes, Gerald Andriole, Johanna Schleutker, Maren Weischer, Børge G Nordestgaard, Federico Canzian, Daniele Campa, Elio Riboli, Tim J Key, Ruth C Travis, Sue A Ingles, Esther M John, Richard B Hayes, Paul Pharoah, Kay-Tee Khaw, Janet L Stanford, Elaine A Ostrander, Lisa B Signorello, Stephen N Thibodeau, Daniel Schaid, Christiane Maier, Adam S Kibel, Cezary Cybulski, Lisa Cannon-Albright, Hermann Brenner, Jong Y Park, Radka Kaneva, Jyotsna Batra, Judith A Clements, Manuel R Teixeira, Jianfeng Xu, Christos Mikropoulos, Chee Goh, Koveela Govindasami, Michelle Guy, Rosemary A Wilkinson, Emma J Sawyer, Angela Morgan, COGS-CRUK GWAS-ELLIPSE (Part of GAME-ON) Initiative, UK Genetic Prostate Cancer Study Collaborators, UK ProtecT Study Collaborators, PRACTICAL Consortium, Douglas F Easton, Ken Muir, Rosalind A Eeles, and Zsofia Kote-Jarai

Subjects
Genetics, QH426-470
Abstract

The HOXB13 gene has been implicated in prostate cancer (PrCa) susceptibility. We performed a high resolution fine-mapping analysis to comprehensively evaluate the association between common genetic variation across the HOXB genetic locus at 17q21 and PrCa risk. This involved genotyping 700 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of 3195 SNPs in 20,440 PrCa cases and 21,469 controls in The PRACTICAL consortium. We identified a cluster of highly correlated common variants situated within or closely upstream of HOXB13 that were significantly associated with PrCa risk, described by rs117576373 (OR 1.30, P = 2.62×10(-14)). Additional genotyping, conditional regression and haplotype analyses indicated that the newly identified common variants tag a rare, partially correlated coding variant in the HOXB13 gene (G84E, rs138213197), which has been identified recently as a moderate penetrance PrCa susceptibility allele. The potential for GWAS associations detected through common SNPs to be driven by rare causal variants with higher relative risks has long been proposed; however, to our knowledge this is the first experimental evidence for this phenomenon of synthetic association contributing to cancer susceptibility.

Published
2014
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5. Identifying proteomic risk factors for overall, aggressive, and early onset prostate cancer using Mendelian Randomisation and tumour spatial transcriptomicsResearch in context

Author

Trishna A. Desai, Åsa K. Hedman, Marios Dimitriou, Mine Koprulu, Sandy Figiel, Wencheng Yin, Mattias Johansson, Eleanor L. Watts, Joshua R. Atkins, Aleksandr V. Sokolov, Helgi B. Schiöth, Marc J. Gunter, Konstantinos K. Tsilidis, Richard M. Martin, Maik Pietzner, Claudia Langenberg, Ian G. Mills, Alastair D. Lamb, Anders Mälarstig, Tim J. Key, Ruth C. Travis, and Karl Smith-Byrne

Subjects
Proteins, Proteomics, -Omics, Mendelian randomisation, Cancer, Genetic epidemiology, Medicine, Medicine (General), R5-920
Abstract

Summary: Background: Understanding the role of circulating proteins in prostate cancer risk can reveal key biological pathways and identify novel targets for cancer prevention. Methods: We investigated the association of 2002 genetically predicted circulating protein levels with risk of prostate cancer overall, and of aggressive and early onset disease, using cis-pQTL Mendelian randomisation (MR) and colocalisation. Findings for proteins with support from both MR, after correction for multiple-testing, and colocalisation were replicated using two independent cancer GWAS, one of European and one of African ancestry. Proteins with evidence of prostate-specific tissue expression were additionally investigated using spatial transcriptomic data in prostate tumour tissue to assess their role in tumour aggressiveness. Finally, we mapped risk proteins to drug and ongoing clinical trials targets. Findings: We identified 20 proteins genetically linked to prostate cancer risk (14 for overall [8 specific], 7 for aggressive [3 specific], and 8 for early onset disease [2 specific]), of which the majority replicated where data were available. Among these were proteins associated with aggressive disease, such as PPA2 [Odds Ratio (OR) per 1 SD increment = 2.13, 95% CI: 1.54–2.93], PYY [OR = 1.87, 95% CI: 1.43–2.44] and PRSS3 [OR = 0.80, 95% CI: 0.73–0.89], and those associated with early onset disease, including EHPB1 [OR = 2.89, 95% CI: 1.99–4.21], POGLUT3 [OR = 0.76, 95% CI: 0.67–0.86] and TPM3 [OR = 0.47, 95% CI: 0.34–0.64]. We confirmed an inverse association of MSMB with prostate cancer overall [OR = 0.81, 95% CI: 0.80–0.82], and also found an inverse association with both aggressive [OR = 0.84, 95% CI: 0.82–0.86] and early onset disease [OR = 0.71, 95% CI: 0.68–0.74]. Using spatial transcriptomics data, we identified MSMB as the genome-wide top-most predictive gene to distinguish benign regions from high grade cancer regions that comparatively had five-fold lower MSMB expression. Additionally, ten proteins that were associated with prostate cancer risk also mapped to existing therapeutic interventions. Interpretation: Our findings emphasise the importance of proteomics for improving our understanding of prostate cancer aetiology and of opportunities for novel therapeutic interventions. Additionally, we demonstrate the added benefit of in-depth functional analyses to triangulate the role of risk proteins in the clinical aggressiveness of prostate tumours. Using these integrated methods, we identify a subset of risk proteins associated with aggressive and early onset disease as priorities for investigation for the future prevention and treatment of prostate cancer. Funding: This work was supported by Cancer Research UK (grant no. C8221/A29017).

Published
2024
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6. Pancreatic cancer susceptibility loci and their role in survival.

Author

Cosmeri Rizzato, Daniele Campa, Nathalia Giese, Jens Werner, P Sivaramakrishna Rachakonda, Rajiv Kumar, Michaela Schanné, William Greenhalf, Eithne Costello, Kay-Tee Khaw, Tim J Key, Afshan Siddiq, Justo Lorenzo-Bermejo, Barbara Burwinkel, John P Neoptolemos, Markus W Büchler, Jörg D Hoheisel, Andrea Bauer, and Federico Canzian

Subjects
Medicine, Science
Abstract

Pancreatic cancer has one of the worst mortality rates of all cancers. Little is known about its etiology, particularly regarding inherited risk. The PanScan project, a genome-wide association study, identified several common polymorphisms affecting pancreatic cancer susceptibility. Single nucleotide polymorphisms (SNPs) in ABO, sonic hedgehog (SHH), telomerase reverse transcriptase (TERT), nuclear receptor subfamily 5, group A, member 2 (NR5A2) were found to be associated with pancreatic cancer risk. Moreover the scan identified loci on chromosomes 13q22.1 and 15q14, to which no known genes or other functional elements are mapped. We sought to replicate these observations in two additional, independent populations (from Germany and the UK), and also evaluate the possible impact of these SNPs on patient survival. We genotyped 15 SNPs in 690 cases of pancreatic ductal adenocarcinoma (PDAC) and in 1277 healthy controls. We replicated several associations between SNPs and PDAC risk. Furthermore we found that SNP rs8028529 was weakly associated with a better overall survival (OS) in both populations. We have also found that NR5A2 rs12029406_T allele was associated with a shorter survival in the German population. In conclusion, we found that rs8028529 could be, if these results are replicated, a promising marker for both risk and prognosis for this lethal disease.

Published
2011
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7. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author

Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar

Abstract

Supplementary Grant Support

Published
2023
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8. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author

Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar

Abstract

Supplementary Figure S1. LocusZoom regional association plots for the seven new cross-cancer loci that were > 1 Mb from known index SNPs. Supplementary Figure S2A-B. Box plots showing eQTL associations between (A) rs9375701 and L3MBTL3 in normal breast and prostate tissues and (B) rs8037137 and RCCD1 in normal breast and ovarian tissues. Supplementary Figure S3. Interactions between BCL2L11 and the 32 Biocarta "Death Pathway" genes. Interactions were identified using the GeneMania server. Circles contain gene names, lines represent interactions, and the color of the line indicates a specific type of interaction as listed in the legend.

Published
2023
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9. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author

Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar

Abstract

Supplementary Table S1. Known risk loci for each cancer. Supplementary Table S2. Regions where known index SNPs for at least two of the three cancers lie within 1 Mb of each other. Supplementary Table S3. Full results from the meta-analysis of breast, ovarian, and prostate cancer showing the 18 independent loci associated at P < 10-8 with the same direction of effect across all three cancers. Supplementary Table S4. Conditional analysis of the rs1469713 (breast-ovarian-prostate cancer) signal, conditioning on the rs4808801 (breast cancer-specific) signal that was < 1 Mb away using GCTA software. Supplementary Table S5. Most significantly-associated genotyped SNP at new loci where index SNPs were imputed. Supplementary Table S6. Expression QTL analysis results from the GTEx Portal for the new cross-cancer risk loci listed in main Table 2. Supplementary Table S7. SNPs with P < 10-8 at the new cross-cancer risk loci listed in main Table 2 that overlap predicted enhancers in at least two cell types. Supplementary Table S8. HaploReg and non-coding RNA annotation of variants with P < 10-8 at the new cross-cancer risk loci listed in main Table 2. Supplementary Table S9. Eight of the 32 genes involved in induction of apoptosis through DR3 and DR4/5 Death Receptors (MSigDB: Biocarta "Death Pathway") a that were < 1 Mb away from an independent P < 10-5 index SNP in the 3-cancer meta-analysis. Supplementary Table S10. INRICH pathway analysis results for pathways with empirical P < 0.05. Apoptosis-related pathways containing BCL2L11 are shaded.

Published
2023
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10. Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition

Author

Marie Breeur, Pietro Ferrari, Laure Dossus, Mazda Jenab, Mattias Johansson, Sabina Rinaldi, Ruth C. Travis, Mathilde His, Tim J. Key, Julie A. Schmidt, Kim Overvad, Anne Tjønneland, Cecilie Kyrø, Joseph A. Rothwell, Nasser Laouali, Gianluca Severi, Rudolf Kaaks, Verena Katzke, Matthias B. Schulze, Fabian Eichelmann, Domenico Palli, Sara Grioni, Salvatore Panico, Rosario Tumino, Carlotta Sacerdote, Bas Bueno-de-Mesquita, Karina Standahl Olsen, Torkjel Manning Sandanger, Therese Haugdahl Nøst, J. Ramón Quirós, Catalina Bonet, Miguel Rodríguez Barranco, María-Dolores Chirlaque, Eva Ardanaz, Malte Sandsveden, Jonas Manjer, Linda Vidman, Matilda Rentoft, David Muller, Kostas Tsilidis, Alicia K. Heath, Hector Keun, Jerzy Adamski, Pekka Keski-Rahkonen, Augustin Scalbert, Marc J. Gunter, Vivian Viallon, Cancer Research UK, Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Kræftens Bekæmpelse, DCS, Deutsches Krebsforschungszentrum, DKFZ, Centre International de Recherche sur le Cancer, CIRC: 2014/1183, C8221/A19170, Seventh Framework Programme, FP7: 2014/1193, 313010, C19335/A21351, National Research Council, NRC, World Cancer Research Fund International, WCRF, University of Maryland School of Public Health, SPH, Medical Research Council, MRC: MR/M012190/1, Cancer Research UK, CRUK: C8221/A29017, World Cancer Research Fund, WCRF, Imperial College London, European Commission, EC, Institut National de la Santé et de la Recherche Médicale, Inserm, Bundesministerium für Bildung und Forschung, BMBF, Cancerfonden, Generalitat de Catalunya, Ministerie van Volksgezondheid, Welzijn en Sport, VWS, Fondation ARC pour la Recherche sur le Cancer, ARC, Ligue Contre le Cancer, Vetenskapsrådet, VR, Instituto de Salud Carlos III, ISCIII, Associazione Italiana per la Ricerca sul Cancro, AIRC, Deutsche Krebshilfe, Institut National Du Cancer, INCa: 2009-139, 2013/1002, 2014-1-RT-02-CIRC-1, 2015-166, Institut Gustave-Roussy, Mutuelle Générale de l'Education Nationale, MGEN, Consejería de Salud y Familias, Junta de Andalucía, NIHR Imperial Biomedical Research Centre, BRC, The coordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC)., This paper is dedicated to the memory our of colleague Dr. Bas Bueno-de-Mesquita. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy, or views of the International Agency for Research on Cancer/World Health Organization., The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Health Research Fund (FIS) - Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology - ICO (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (14136 to EPIC-Norfolk, C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (UK). IDIBELL acknowledges support from the Generalitat de Catalunya through the CERCA Program. The breast cancer study was funded by the French National Cancer Institute (grant number 2015-166). The colorectal cancer studies were funded by World Cancer Research Fund (reference: 2013/1002, reference: 313010, reference: 2014/1193, INCa, grant numbers 2009-139 and 2014-1-RT-02-CIRC-1) and by internal funds of the IARC. For the participants in the prostate cancer study, sample retrieval and preparation, and assays of metabolites were supported by Cancer Research UK (C8221/A19170), and funding for grant 2014/1183 was obtained from the World Cancer Research Fund (WCRF UK), as part of the World Cancer Research Fund International grant programme. Mathilde His’ work reported here was undertaken during the tenure of a postdoctoral fellowship awarded by the International Agency for Research on Cancer, financed by the Fondation ARC. The funders were not involved in designing the study, collecting, analysing, and interpreting results, or writing and submitting the manuscript for publication., and HAL UVSQ, Équipe

Subjects
Male, Carcinoma, Hepatocellular, Proline, Glutamine, Kidney, Risk Factors, General & Internal Medicine, Humans, Metabolomics, Histidine, Prospective Studies, Breast, Càncer, 11 Medical and Health Sciences, Colorectal, Cancer, Cancer och onkologi, Liver Neoplasms, Prostate, Lysophosphatidylcholines, General Medicine, Sphingomyelins, Metabolòmica, Liver, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Case-Control Studies, Cancer and Oncology, Carcinoma, Hepatocellular/diagnosis, Phosphatidylcholines, Epic, Endometrial, Lasso, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, EPIC
Abstract

Background Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. Methods We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty. Results Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk. Conclusions These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.

Published
2022
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11. Lifestyle factors and prostate-specific antigen (PSA) testing in UK Biobank: Implications for epidemiological research

Author

Thomas J, Littlejohns, Ruth C, Travis, Tim J, Key, and Naomi E, Allen

Subjects
Adult, Male, Cancer Research, Epidemiology, BMI, body mass index, Epidemiologic methods, urologic and male genital diseases, Article, Risk Factors, Humans, Aged, Biological Specimen Banks, PSA, prostate-specific antigen, Prostate cancer, Smokers, Prostatic Neoplasms, Middle Aged, Prostate-Specific Antigen, Prognosis, United Kingdom, Diet, CI, confidence interval, OR, odds ratio, Epidemiologic bias, Cross-Sectional Studies, Oncology, Life style
Abstract

Highlights • Prostate-specific antigen (PSA) testing is key in diagnosing prostate cancer. • Risk factors for prostate cancer were related to the likelihood of PSA testing. • There is potential for detection bias in epidemiological studies of prostate cancer., Background The central role of prostate-specific antigen (PSA) testing in the diagnosis of prostate cancer leads to the possibility that observational studies that report associations between risk factors and prostate cancer could be affected by detection bias. This study aims to investigate whether reported risk factors for prostate cancer are associated with PSA testing in a large middle-aged population-based cohort in the UK. Methods The cross-sectional association between a wide range of sociodemographic, lifestyle, dietary and health characteristics with PSA testing was examined in 212,039 men aged 40–69 years in UK Biobank. Results A total of 62,022 (29%) men reported they had ever had a PSA test. A wide range of factors was associated with a higher likelihood of PSA testing including age, height, education level, family history of prostate cancer, black ethnic origin, not being in paid/self-employment, living with a wife or partner, having had a vasectomy, being diagnosed with cancer or hypertension and having a high dietary intake of cereal, cooked and salad/raw vegetables, fresh fruit and tea. Conversely, socioeconomic deprivation, Asian ethnic origin, current smoking, low alcohol intake, high body-mass index, high coffee consumption and being diagnosed with diabetes, heart disease or stroke were associated with a lower likelihood of PSA testing. Conclusions A variety of sociodemographic, lifestyle and health-related characteristics are associated with PSA testing, suggesting that observed associations of some of these traits with risk for prostate cancer in epidemiological studies may be, at least partially, due to detection bias.

Published
2016

12. Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score

Author

Robert, Szulkin, Thomas, Whitington, Martin, Eklund, Markus, Aly, Rosalind A, Eeles, Douglas, Easton, Z Sofia, Kote-Jarai, Ali, Amin Al Olama, Sara, Benlloch, Kenneth, Muir, Graham G, Giles, Melissa C, Southey, Liesel M, Fitzgerald, Brian E, Henderson, Fredrick, Schumacher, Christopher A, Haiman, Johanna, Schleutker, Tiina, Wahlfors, Teuvo L J, Tammela, Børge G, Nordestgaard, Tim J, Key, Ruth C, Travis, David E, Neal, Jenny L, Donovan, Freddie C, Hamdy, Paul, Pharoah, Nora, Pashayan, Kay-Tee, Khaw, Janet L, Stanford, Stephen N, Thibodeau, Shannon K, McDonnell, Daniel J, Schaid, Christiane, Maier, Walther, Vogel, Manuel, Luedeke, Kathleen, Herkommer, Adam S, Kibel, Cezary, Cybulski, Jan, Lubiński, Wojciech, Kluźniak, Lisa, Cannon-Albright, Hermann, Brenner, Katja, Butterbach, Christa, Stegmaier, Jong Y, Park, Thomas, Sellers, Hui-Yi, Lin, Hui-Yi, Lim, Chavdar, Slavov, Radka, Kaneva, Vanio, Mitev, Jyotsna, Batra, Judith A, Clements, Amanda, Spurdle, Manuel R, Teixeira, Paula, Paulo, Sofia, Maia, Hardev, Pandha, Agnieszka, Michael, Andrzej, Kierzek, Henrik, Gronberg, and Danielle M, Karyadi

Subjects
Genetic Markers, Male, Risk Factors, Genetic Variation, Humans, Prostatic Neoplasms, Genetic Predisposition to Disease, Linkage Disequilibrium, Article
Abstract

BACKGROUND. Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction. METHODS. We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls. RESULTS. The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5 E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk. CONCLUSIONS. Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction.

Published
2015

13. Physical activity and breast cancer risk: the European Prospective Investigation into Cancer and Nutrition

Author

Petra H. Lahmann, Christine Friedenreich, A. Jantine Schuit, Simonetta Salvini, Naomi E. Allen, Tim J. Key, Kay-Tee Khaw, Sheila Bingham, Petra H.M. Peeters, Evelyn Monninkhof, H. Bas Bueno-de-Mesquita, Elisabet Wirfält, Jonas Manjer, Carlos A. Gonzales, Eva Ardanaz, Pilar Amiano, José R. Quirós, Carmen Navarro, Carmen Martinez, Franco Berrino, Domenico Palli, Rosario Tumino, Salvatore Panico, Paolo Vineis, Antonia Trichopoulou, Christina Bamia, Dimitrios Trichopoulos, Heiner Boeing, Mandy Schulz, Jakob Linseisen, Jenny Chang-Claude, Francoise Clavel Chapelon, Agnès Fournier, Marie-Christine Boutron-Ruault, Anne Tjønneland, Nina Føns Johnson, Kim Overvad, Rudolf Kaaks, Elio Riboli, Lahmann, Ph, Friedenreich, C, Schuit, Aj, Salvini, S, Allen, Ne, Key, Tj, Khaw, Kt, Bingham, S, Peeters, Ph, Monninkhof, E, BUENO DE MESQUITA, Hb, Wirfalt, E, Manjer, J, Gonzales, Ca, Ardanaz, E, Amiano, P, Quiros, Jr, Navarro, C, Martinez, C, Berrino, F, Palli, D, Tumino, R, Panico, Salvatore, Vineis, P, Trichopoulou, A, Bamia, C, Trichopoulos, D, Boeing, H, Schulz, M, Linseisen, J, CHANG CLAUDE, J, Chapelon, Fc, Fournier, A, BOUTRON RUAULT, Mc, Tjonneland, A, Johnson, Nf, Overvad, K, Kaaks, R, and Riboli, E.

Subjects
Adult, Aged, 80 and over, Epidemiology, Nutritional Status, Breast Neoplasms, Middle Aged, Motor Activity, Europe, Oncology, Risk Factors, Humans, Female, Prospective Studies, Aged, Proportional Hazards Models
Abstract

There is convincing evidence for a decreased risk of breast cancer with increased physical activity. Uncertainties remain, however, about the role of different types of physical activity on breast cancer risk and the potential effect modification for these associations. We used data from 218,169 premenopausal and postmenopausal women from nine European countries, ages 20 to 80 years at study entry into the European Prospective Investigation into Cancer and Nutrition. Hazard ratios (HR) from multivariate Cox regression models were calculated using metabolic equivalent value–based physical activity variables categorized in quartiles, adjusted for age, study center, education, body mass index, smoking, alcohol use, age at menarche, age at first pregnancy, parity, current oral contraceptive use, and hormone replacement therapy use. The physical activity assessment included recreational, household, and occupational activities. A total physical activity index was estimated based on cross-tabulation of these separate types of activity. During 6.4 years of follow-up, 3,423 incident invasive breast cancers were identified. Overall, increasing total physical activity was associated with a reduction in breast cancer risk among postmenopausal women (Ptrend = 0.06). Specifically, household activity was associated with a significantly reduced risk in postmenopausal (HR, 0.81; 95% confidence interval, 0.70-0.93, highest versus the lowest quartile; Ptrend = 0.001) and premenopausal (HR, 0.71; 95% confidence interval, 0.55-0.90, highest versus lowest quartile; Ptrend = 0.003) women. Occupational activity and recreational activity were not significantly related to breast cancer risk in both premenopausal and postmenopausal women. This study provides additional evidence for a protective effect of physical activity on breast cancer risk. (Cancer Epidemiol Biomarkers Prev 2007;16(1):36–42)

Published
2007

14. Plasma levels of six carotenoids in nine European countries: report from the European Prospective Investigation into Cancer and Nutrition (EPIC).

Author

Wael K Al-Delaimy, Anne Linda van Kappel, Pietro Ferrari, Nadia Slimani, Jean-Paul Steghens, Sheila Bingham, Ingegerd Johansson, Peter Wallström, Kim Overvad, Anne Tjønneland, Tim J Key, Ailsa A Welch, H Bas Bueno-de-Mesquita, Petra HM Peeters, Heiner Boeing, Jakob Linseisen, Françoise Clavel-Chapelon, Catherine Guibout, Carmen Navarro, and Jose Ramón Quirós

Subjects
CAROTENOIDS, BLOOD plasma, DIET in disease
Abstract

Background: In addition to their possible direct biological effects, plasma carotenoids can be used as biochemical markers of fruit and vegetable consumption for identifying diet–disease associations in epidemiological studies. Few studies have compared levels of these carotenoids between countries in Europe.Objective: Our aim was to assess the variability of plasma carotenoid levels within the cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC).Methods: Plasma levels of six carotenoids – ?-carotene, ?-carotene, ?-cryptoxanthin, lycopene, lutein and zeaxanthin – were measured cross-sectionally in 3043 study subjects from 16 regions in nine European countries. We investigated the relative influence of gender, season, age, body mass index (BMI), alcohol intake and smoking status on plasma levels of the carotenoids.Results: Mean plasma level of the sum of the six carotenoids varied twofold between regions (1.35??mol?l?1 for men in Malmö, Sweden vs. 2.79??mol?l?1 for men in Ragusa/Naples, Italy; 1.61??mol?l?1 for women in The Netherlands vs. 3.52??mol?l?1 in Ragusa/Naples, Italy). Mean levels of individual carotenoids varied up to fourfold (?-carotene: 0.06??mol?l?1 for men in Murcia, Spain vs. 0.25??mol?l?1 for vegetarian men living in the UK). In multivariate regression analyses, region was the most important predictor of total plasma carotenoid level (partial R2=27.3%), followed by BMI (partial R2=5.2%), gender (partial R2=2.7%) and smoking status (partial R2=2.8%). Females had higher total carotenoid levels than males across Europe.Conclusions: Plasma levels of carotenoids vary substantially between 16 different regions in Italy, Greece, Spain, France, Germany, the UK, Sweden, Denmark and The Netherlands. Compared with region of residence, the other demographic and lifestyle factors and laboratory measurements have limited predictive value for plasma carotenoid levels in Europe. [ABSTRACT FROM AUTHOR]

Published
2004
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15. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Tokhir Dadaev, Edward J. Saunders, Paul J. Newcombe, Ezequiel Anokian, Daniel A. Leongamornlert, Mark N. Brook, Clara Cieza-Borrella, Martina Mijuskovic, Sarah Wakerell, Ali Amin Al Olama, Fredrick R. Schumacher, Sonja I. Berndt, Sara Benlloch, Mahbubl Ahmed, Chee Goh, Xin Sheng, Zhuo Zhang, Kenneth Muir, Koveela Govindasami, Artitaya Lophatananon, Victoria L. Stevens, Susan M. Gapstur, Brian D. Carter, Catherine M. Tangen, Phyllis Goodman, Ian M. Thompson, Jyotsna Batra, Suzanne Chambers, Leire Moya, Judith Clements, Lisa Horvath, Wayne Tilley, Gail Risbridger, Henrik Gronberg, Markus Aly, Tobias Nordström, Paul Pharoah, Nora Pashayan, Johanna Schleutker, Teuvo L. J. Tammela, Csilla Sipeky, Anssi Auvinen, Demetrius Albanes, Stephanie Weinstein, Alicja Wolk, Niclas Hakansson, Catharine West, Alison M. Dunning, Neil Burnet, Lorelei Mucci, Edward Giovannucci, Gerald Andriole, Olivier Cussenot, Géraldine Cancel-Tassin, Stella Koutros, Laura E. Beane Freeman, Karina Dalsgaard Sorensen, Torben Falck Orntoft, Michael Borre, Lovise Maehle, Eli Marie Grindedal, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Ruth C. Travis, Tim J. Key, Robert J. Hamilton, Neil E. Fleshner, Antonio Finelli, Sue Ann Ingles, Mariana C. Stern, Barry Rosenstein, Sarah Kerns, Harry Ostrer, Yong-Jie Lu, Hong-Wei Zhang, Ninghan Feng, Xueying Mao, Xin Guo, Guomin Wang, Zan Sun, Graham G. Giles, Melissa C. Southey, Robert J. MacInnis, Liesel M. FitzGerald, Adam S. Kibel, Bettina F. Drake, Ana Vega, Antonio Gómez-Caamaño, Laura Fachal, Robert Szulkin, Martin Eklund, Manolis Kogevinas, Javier Llorca, Gemma Castaño-Vinyals, Kathryn L. Penney, Meir Stampfer, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Janet L. Stanford, Cezary Cybulski, Dominika Wokolorczyk, Jan Lubinski, Elaine A. Ostrander, Milan S. Geybels, Børge G. Nordestgaard, Sune F. Nielsen, Maren Weisher, Rasmus Bisbjerg, Martin Andreas Røder, Peter Iversen, Hermann Brenner, Katarina Cuk, Bernd Holleczek, Christiane Maier, Manuel Luedeke, Thomas Schnoeller, Jeri Kim, Christopher J. Logothetis, Esther M. John, Manuel R. Teixeira, Paula Paulo, Marta Cardoso, Susan L. Neuhausen, Linda Steele, Yuan Chun Ding, Kim De Ruyck, Gert De Meerleer, Piet Ost, Azad Razack, Jasmine Lim, Soo-Hwang Teo, Daniel W. Lin, Lisa F. Newcomb, Davor Lessel, Marija Gamulin, Tomislav Kulis, Radka Kaneva, Nawaid Usmani, Chavdar Slavov, Vanio Mitev, Matthew Parliament, Sandeep Singhal, Frank Claessens, Steven Joniau, Thomas Van den Broeck, Samantha Larkin, Paul A. Townsend, Claire Aukim-Hastie, Manuela Gago-Dominguez, Jose Esteban Castelao, Maria Elena Martinez, Monique J. Roobol, Guido Jenster, Ron H. N. van Schaik, Florence Menegaux, Thérèse Truong, Yves Akoli Koudou, Jianfeng Xu, Kay-Tee Khaw, Lisa Cannon-Albright, Hardev Pandha, Agnieszka Michael, Andrzej Kierzek, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Sara Lindstrom, Constance Turman, Jing Ma, David J. Hunter, Elio Riboli, Afshan Siddiq, Federico Canzian, Laurence N. Kolonel, Loic Le Marchand, Robert N. Hoover, Mitchell J. Machiela, Peter Kraft, The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Matthew Freedman, Fredrik Wiklund, Stephen Chanock, Brian E. Henderson, Douglas F. Easton, Christopher A. Haiman, Rosalind A. Eeles, David V. Conti, and Zsofia Kote-Jarai

Subjects
Science
Abstract

Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.

Published
2018
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16. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Author

Alexander Gusev, Huwenbo Shi, Gleb Kichaev, Mark Pomerantz, Fugen Li, Henry W. Long, Sue A. Ingles, Rick A. Kittles, Sara S. Strom, Benjamin A. Rybicki, Barbara Nemesure, William B. Isaacs, Wei Zheng, Curtis A. Pettaway, Edward D. Yeboah, Yao Tettey, Richard B. Biritwum, Andrew A. Adjei, Evelyn Tay, Ann Truelove, Shelley Niwa, Anand P. Chokkalingam, Esther M. John, Adam B. Murphy, Lisa B. Signorello, John Carpten, M. Cristina Leske, Suh-Yuh Wu, Anslem J. M. Hennis, Christine Neslund-Dudas, Ann W. Hsing, Lisa Chu, Phyllis J. Goodman, Eric A. Klein, John S. Witte, Graham Casey, Sam Kaggwa, Michael B. Cook, Daniel O. Stram, William J. Blot, Rosalind A. Eeles, Douglas Easton, ZSofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. Fitzgerald, Henrik Gronberg, Fredrik Wiklund, Markus Aly, Brian E. Henderson, Johanna Schleutker, Tiina Wahlfors, Teuvo L. J. Tammela, Børge G. Nordestgaard, Tim J. Key, Ruth C. Travis, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Paul Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Dominika Wokolorczyk, Wojciech Kluzniak, Lisa Cannon-Albright, Craig Teerlink, Hermann Brenner, Aida K. Dieffenbach, Volker Arndt, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Chavdar Slavov, Radka Kaneva, Vanio Mitev, Jyotsna Batra, Amanda Spurdle, Judith A. Clements, Manuel R. Teixeira, Hardev Pandha, Agnieszka Michael, Paula Paulo, Sofia Maia, Andrzej Kierzek, The PRACTICAL consortium, David V. Conti, Demetrius Albanes, Christine Berg, Sonja I. Berndt, Daniele Campa, E. David Crawford, W. Ryan Diver, Susan M. Gapstur, J. Michael Gaziano, Edward Giovannucci, Robert Hoover, David J. Hunter, Mattias Johansson, Peter Kraft, Loic Le Marchand, Sara Lindström, Carmen Navarro, Kim Overvad, Elio Riboli, Afshan Siddiq, Victoria L. Stevens, Dimitrios Trichopoulos, Paolo Vineis, Meredith Yeager, Gosia Trynka, Soumya Raychaudhuri, Frederick R. Schumacher, Alkes L. Price, Matthew L. Freedman, Christopher A. Haiman, and Bogdan Pasaniuc

Subjects
Science
Abstract

Over one hundred loci have been identified to be associated with the familial risk of prostate cancer but the functional effects are poorly understood. Here the authors use single-nucleotide variant and epigentic data to show an underlying genetic architecture marked by histone modification.

Published
2016
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17. Prediagnostic Sex Steroid Hormones in Relation to Male Breast Cancer Risk.

Author

Brinton LA, Key TJ, Kolonel LN, Michels KB, Sesso HD, Ursin G, Van Den Eeden SK, Wood SN, Falk RT, Parisi D, Guillemette C, Caron P, Turcotte V, Habel LA, Isaacs CJ, Riboli E, Weiderpass E, and Cook MB

Subjects
Aged, Androgens blood, Case-Control Studies, Cohort Studies, Estradiol blood, Hormones blood, Humans, International Cooperation, Male, Middle Aged, Multivariate Analysis, Odds Ratio, Risk Factors, Breast Neoplasms, Male blood, Breast Neoplasms, Male diagnosis, Gonadal Steroid Hormones blood
Abstract

Purpose: Although previous studies have implicated a variety of hormone-related risk factors in the etiology of male breast cancers, no previous studies have examined the effects of endogenous hormones., Patients and Methods: Within the Male Breast Cancer Pooling Project, an international consortium comprising 21 case-control and cohort investigations, a subset of seven prospective cohort studies were able to contribute prediagnostic serum or plasma samples for hormone quantitation. Using a nested case-control design, multivariable unconditional logistic regression analyses estimated odds ratios and 95% CIs for associations between male breast cancer risk and 11 individual estrogens and androgens, as well as selected ratios of these analytes., Results: Data from 101 cases and 217 matched controls were analyzed. After adjustment for age and date of blood draw, race, and body mass index, androgens were found to be largely unrelated to risk, but circulating estradiol levels showed a significant association. Men in the highest quartile had an odds ratio of 2.47 (95% CI, 1.10 to 5.58) compared with those in the lowest quartile (trend P = .06). Assessment of estradiol as a ratio to various individual androgens or sum of androgens showed no further enhancement of risk. These relations were not significantly modified by either age or body mass index, although estradiol was slightly more strongly related to breast cancers occurring among younger (age < 67 years) than older men., Conclusion: Our results support the notion of an important role for estradiol in the etiology of male breast cancers, similar to female breast cancers., (© 2015 by American Society of Clinical Oncology.)

Published
2015
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