BACKGROUND: Men with a family history of prostate cancer and African-American men are at high risk for prostate cancer and in need of personalized risk estimates to inform screening decisions. This study evaluated genetic variants in genes encoding microRNA (miRNA) binding sites for informing of time to prostate cancer diagnosis among ethnically diverse, high-risk men undergoing prostate cancer screening. METHODS: The Prostate Cancer Risk Assessment Program (PRAP) is a longitudinal screening program for high-risk men. The eligibility includes men aged between 35 and 69 years with a family history of prostate cancer or African descent. Participants with 1 follow-up visit were included in the analyses (n=477). Genetic variants in genes encoding miRNA binding sites (ALOX15 (arachidonate 15-lipooxygenase), IL-16, IL-18 and RAF1 (v-raf-1 murine leukemia viral oncogene homolog 1)) previously implicated in prostate cancer development were evaluated. Genotyping methods included Taqman SNP Genotyping Assay or pyrosequencing. Cox models were used to assess time to prostate cancer diagnosis by risk genotype. RESULTS: Among 256 African Americans with one follow-up visit, the TT genotype at rs1131445 in IL-16 was significantly associated with earlier time to prostate cancer diagnosis vs the CC/CT genotypes (P=0.013), with a suggestive association after correction for false discovery (P=0.065). Hazard ratio after controlling for age and PSA for TT vs CC/CT among African Americans was 3.0 (95% confidence interval: 1.26-7.12). No association with time to diagnosis was detected among Caucasians by IL-16 genotype. No association with time to prostate cancer diagnosis was found for the other miRNA target genotypes. CONCLUSIONS: Genetic variation in IL-16 encoding miRNA target site may be informative of time to prostate cancer diagnosis among African-American men enrolled in prostate cancer risk assessment, which may inform individualized prostate cancer screening strategies in the future.
BACKGROUND:Men with a family history of prostate cancer and African-American men are at high risk for prostate cancer and in need of personalized risk estimates to inform screening decisions. This study evaluated genetic variants in genes encoding microRNA (miRNA) binding sites for informing of time to prostate cancer diagnosis among ethnically diverse, high-risk men undergoing prostate cancer screening. METHODS: The Prostate Cancer Risk Assessment Program (PRAP) is a longitudinal screening program for high-risk men. The eligibility includes men aged between 35 and 69 years with a family history of prostate cancer or African descent. Participants with 1 follow-up visit were included in the analyses (n=477). Genetic variants in genes encoding miRNA binding sites (ALOX15 (arachidonate 15-lipooxygenase), IL-16, IL-18 and RAF1 (v-raf-1 murine leukemia viral oncogene homolog 1)) previously implicated in prostate cancer development were evaluated. Genotyping methods included Taqman SNP Genotyping Assay or pyrosequencing. Cox models were used to assess time to prostate cancer diagnosis by risk genotype. RESULTS: Among 256 African Americans with one follow-up visit, the TT genotype at rs1131445 in IL-16 was significantly associated with earlier time to prostate cancer diagnosis vs the CC/CT genotypes (P=0.013), with a suggestive association after correction for false discovery (P=0.065). Hazard ratio after controlling for age and PSA for TT vs CC/CT among African Americans was 3.0 (95% confidence interval: 1.26-7.12). No association with time to diagnosis was detected among Caucasians by IL-16 genotype. No association with time to prostate cancer diagnosis was found for the other miRNA target genotypes. CONCLUSIONS: Genetic variation in IL-16 encoding miRNA target site may be informative of time to prostate cancer diagnosis among African-American men enrolled in prostate cancer risk assessment, which may inform individualized prostate cancer screening strategies in the future.
Authors: Ken Batai; Ebony Shah; Adam B Murphy; Jennifer Newsome; Maria Ruden; Chiledum Ahaghotu; Rick A Kittles Journal: Cancer Epidemiol Biomarkers Prev Date: 2012-08-24 Impact factor: 4.254
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Authors: William M MacCuaig; Alexandra Thomas; Juan C Claros-Sorto; Jorge G Gomez-Gutierrez; Adam C Alexander; Elizabeth A Wellberg; William E Grizzle; Lacey R McNally Journal: Biotech Histochem Date: 2022-01-04 Impact factor: 1.834
Authors: Victor Hugo de Souza; Josiane Bazzo de Alencar; Bruna Tiaki Tiyo; Hugo Vicentin Alves; Evelyn Castillo Lima Vendramini; Ana Maria Sell; Jeane Eliete Laguila Visentainer Journal: Oncotarget Date: 2020-09-08