| Literature DB >> 26921328 |
Timothy J Key1, Naomi E Allen2, Ruth C Travis1, Paul N Appleby1, Richard M Martin3,4, Jeff M P Holly5, Demetrius Albanes6, Amanda Black6, H B As Bueno-de-Mesquita7,8, June M Chan9, Chu Chen10, Maria-Dolores Chirlaque11, Michael B Cook6, Mélanie Deschasaux12, Jenny L Donovan3, Luigi Ferrucci13, Pilar Galan12, Graham G Giles14, Edward L Giovannucci15,16, Marc J Gunter8, Laurel A Habel17, Freddie C Hamdy18, Kathy J Helzlsouer19, Serge Hercberg12, Robert N Hoover6, Joseph A M J L Janssen20, Rudolf Kaaks21, Tatsuhiko Kubo22, Loic Le Marchand23, E Jeffrey Metter13,24, Kazuya Mikami25, Joan K Morris26, David E Neal27, Marian L Neuhouser10, Kotaro Ozasa28, Domenico Palli29, Elizabeth A Platz30, Michael Pollak31, Alison J Price1, Monique J Roobol32, Catherine Schaefer17, Jeannette M Schenk33,34, Gianluca Severi14,35, Meir J Stampfer15,36, Pär Stattin37, Akiko Tamakoshi38, Catherine M Tangen39, Mathilde Touvier12, Nicholas J Wald27, Noel S Weiss35, Regina G Ziegler6.
Abstract
The role of insulin-like growth factors (IGF) in prostate cancer development is not fully understood. To investigate the association between circulating concentrations of IGFs (IGF-I, IGF-II, IGFBP-1, IGFBP-2, and IGFBP-3) and prostate cancer risk, we pooled individual participant data from 17 prospective and two cross-sectional studies, including up to 10,554 prostate cancer cases and 13,618 control participants. Conditional logistic regression was used to estimate the ORs for prostate cancer based on the study-specific fifth of each analyte. Overall, IGF-I, IGF-II, IGFBP-2, and IGFBP-3 concentrations were positively associated with prostate cancer risk (Ptrend all ≤ 0.005), and IGFBP-1 was inversely associated weakly with risk (Ptrend = 0.05). However, heterogeneity between the prospective and cross-sectional studies was evident (Pheterogeneity = 0.03), unless the analyses were restricted to prospective studies (with the exception of IGF-II, Pheterogeneity = 0.02). For prospective studies, the OR for men in the highest versus the lowest fifth of each analyte was 1.29 (95% confidence interval, 1.16-1.43) for IGF-I, 0.81 (0.68-0.96) for IGFBP-1, and 1.25 (1.12-1.40) for IGFBP-3. These associations did not differ significantly by time-to-diagnosis or tumor stage or grade. After mutual adjustment for each of the other analytes, only IGF-I remained associated with risk. Our collaborative study represents the largest pooled analysis of the relationship between prostate cancer risk and circulating concentrations of IGF-I, providing strong evidence that IGF-I is highly likely to be involved in prostate cancer development. Cancer Res; 76(8); 2288-300. ©2016 AACR. ©2016 American Association for Cancer Research.Entities:
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Year: 2016 PMID: 26921328 PMCID: PMC4873385 DOI: 10.1158/0008-5472.CAN-15-1551
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701