Citations 2
Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study
Adams, Charleen D. , Richmond, Rebecca C. , Ferreira, Diana L. Santos , Spiller, Wes , Tan, Vanessa Y. , Würtz, Peter , Donovan, Jenny , Hamdy, Freddie C. , Neal, David E. , Lane, J. Athene , Smith, George Davey , Relton, Caroline L. , Eeles, Rosalind A. , Haiman, Christopher A. , Schumacher, Fredrick R. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Berndt, Sonja I., Conti, David V. , Gapstur, Susan M. , Stevens, Victoria L. , Batra, Jyotsna , Grönberg, Henrik , Pashayan, Nora , Schleutker, Johanna , West, Catharine , Mucci, Lorelei A. , Koutros, Stella , Sørensen, Karina D. , Mæhle, Lovise, Travis, Ruth C. , Rosenstein, Barry S. , Lu, Yong‐Jie , Kibel, Adam S. , Vega, Ana , Stanford, Janet L. , Nordestgaard, Børge G. , Maier, Christiane, Kim, Jeri , John, Esther M. , Teixeira, Manuel R. , Newcomb, Lisa F., Lessel, Davor , Kaneva, Radka , Usmani, Nawaid , Claessens, Frank , Townsend, Paul A. , Dominguez, Manuela Gago, Roobol, Monique J. , Ménégaux, F. , Pandha, Hardev , Thibodeau, Stephen N. , Martin, Richard M. , Teixeira, Manuel R , Vega, Ana , Eeles, Rosalind A , John, Esther M , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Lessel, Davor , Koutros, Stella , Martin, Richard M , Conti, David V , Batra, Jyotsna , Davey Smith, George , Zheng, Jie , Kote‐Jarai, Zsofia , Berndt, Sonja I. , Wiklund, Fredrik E. , Chanock, Stephen Jacob , Tangen, Catherine M. , Clements, Judith A. , Albanes, Demetrius , Wolk, Alicja , Cancel‐Tassin, Géraldine , Hamilton, Robert J , Ingles, Sue A. , Giles, Graham G. , Kogevinas, Manolis , Penney, Kathryn , Park, Jong Y. , Cybulski, Cezary , Brenner, Hermann , Neuhausen, Susan L. , Ruyck, Kim De , Razack, Azad Hassan Abdul , Khaw, Kay‐Tee , Cannon‐Albright, Lisa , Claessens, Frank
Cancer Epidemiology, Biomarkers & Prevention | October 23, 2018 | Volume: 28 | Issue: 1 | Pages: 208-216
Abstract Background: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer–metabolite associations using two-sample Mendelian randomization (MR). Methods: The case–control portion of the study was conducted in nine UK centers with men ages 50–69 years who underwent prostate-specific antigen screening for prostate cancer within the Prostate Testing for Cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. Results: Thirty-five metabolites were strongly associated with prostate cancer (P < 0.0014, multiple-testing threshold). These fell into four classes: (i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); (ii) fatty acids and ratios; (iii) amino acids; (iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal. Conclusions: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk. Impact: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.
Genome-Wide Association Study of Prostate Cancer–Specific Survival
Szulkin, Robert , Whitington, Thomas, Aly, Markus , Grönberg, Henrik , Eeles, Rosalind A. , Easton, Douglas F. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Giles, Graham G. , Southey, Melissa C. , FitzGerald, Liesel M. , Henderson, Brian E., Schumacher, Fredrick R. , Haiman, Christopher A. , Sipeky, Csilla , Tammela, Teuvo L.J. , Nordestgaard, Børge G. , Travis, Ruth C. , Neal, David E. , Donovan, Jenny , Hamdy, Freddie C. , Pashayan, Nora , Stanford, Janet L. , Thibodeau, Stephen N. , McDonnell, Shannon K. , Schaid, Daniel J. , Maier, Christiane, Vogel, Walther , Luedeke, Manuel, Herkommer, Kathleen , Kibel, Adam S. , Lubiński, Jan , Kluźniak, Wojciech , Cannon‐Albright, Lisa , Brenner, Hermann , Herrmann, Volker, Holleczek, Bernd , Sellers, Thomas A. , Lim, Hui-Yi, Kaneva, Radka , Mitev, Vanio , Teixeira, Manuel R. , Paulo, Paula , Maia, Sofia , Pandha, Hardev , Michael, Agnieszka , Batra, Jyotsna , Clements, Judith A. , BioResource, on behalf of the Australian Prostate Cancer, Albanes, Demetrius, Andriole, Gerald L. , Berndt, Sonja I., Gapstur, Susan M. , Giovannucci, Edward L. , Ma, Jing , Mondul, Alison M. , Stampfer, Meir J. , Stevens, Victoria L. , Weinstein, Stephanie J. , Trichopoulou, Antonia , Bueno-de-Mesquita, Bas H., Tjønneland, Anne , Cox, David G. , Mæhle, Lovise, Schleutker, Johanna , Lindström, Sara , Karlsson, Robert , Kote‐Jarai, Zsofia , Key, Tim , Pharoah, Paul D.P. , Khaw, Kay‐Tee , Cybulski, Cezary , Park, Jong Y. , Slavov, Chavdar , Spurdle, Amanda B. , Kierzek, Andrzej , BioResource, on behalf of the Australian Prostate Cancer, Berndt, Sonja I. , Chanock, Stephen Jacob , Hunter, David J. , Kraft, Peter , Marchand, Loı̈c Le , Penney, Kathryn , Wiklund, Fredrik E. , Giles, Graham G , Teixeira, Manuel R , Eeles, Rosalind A , Southey, Melissa C , Tjønneland, Anne , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Cannon-Albright, Lisa A , Michael, Agnieszka , Brenner, Hermann , Batra, Jyotsna , Clements, Judith , Lubinski, Jan , McDonnell, Shannon K
Cancer Epidemiology, Biomarkers & Prevention | August 25, 2015 | Volume: 24 | Issue: 11 | Pages: 1796-1800
Abstract Background: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. Methods: We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR). Results: We observed no significant association between genetic variants and prostate cancer survival. Conclusions: Common genetic variants with large impact on prostate cancer survival were not observed in this study. Impact: Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes. Cancer Epidemiol Biomarkers Prev; 24(11); 1796–800. ©2015 AACR.