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Germline variants in IL4, MGMT and AKT1 are associated with prostate cancer-specific mortality: An analysis of 12,082 prostate cancer cases

BACKGROUND: Prostate cancer (PCa) is a leading cause of mortality and genetic factors can influence tumour aggressiveness. Several germline variants have been associated with PCa-specific mortality (PCSM), but further replication evidence is needed. METHODS: Twenty-two previously identified PCSM-ass...

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Detalles Bibliográficos
Autores principales: FitzGerald, L. M., Zhao, S., Leonardson, A., Geybels, M. S., Kolb, S., Lin, D. W., Wright, J. L., Eeles, R., Kote-Jarai, Z., Govindasami, K., Giles, G. G., Southey, M. C., Schleutker, J., Tammela, T. L., Sipeky, C., Penney, K. L., Stampfer, M. J., Gronberg, H., Wiklund, F., Stattin, P., Hugosson, J., Karyadi, D. M., Ostrander, E. A., Feng, Z., Stanford, J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6026113/
https://www.ncbi.nlm.nih.gov/pubmed/29298992
http://dx.doi.org/10.1038/s41391-017-0029-2
Descripción
Sumario:BACKGROUND: Prostate cancer (PCa) is a leading cause of mortality and genetic factors can influence tumour aggressiveness. Several germline variants have been associated with PCa-specific mortality (PCSM), but further replication evidence is needed. METHODS: Twenty-two previously identified PCSM-associated genetic variants were genotyped in seven PCa cohorts (12,082 patients; 1544 PCa deaths). For each cohort, Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals for risk of PCSM associated with each variant. Data were then combined using a meta-analysis approach. RESULTS: Fifteen SNPs were associated with PCSM in at least one of the seven cohorts. In the meta-analysis, after adjustment for clinicopathological factors, variants in the MGMT (rs2308327; HR 0.90; p-value = 3.5 × 10(−2)) and IL4 (rs2070874; HR 1.22; p-value = 1.1 × 10(−3)) genes were confirmed to be associated with risk of PCSM. In analyses limited to men diagnosed with local or regional stage disease, a variant in AKT1, rs2494750, was also confirmed to be associated with PCSM risk (HR 0.81; p-value = 3.6 × 10(−2)). CONCLUSIONS: This meta-analysis confirms the association of three genetic variants with risk of PCSM, providing further evidence that genetic background plays a role in PCa-specific survival. While these variants alone are not sufficient as prognostic biomarkers, these results may provide insights into the biological pathways modulating tumour aggressiveness.