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  • Gene expression in prostate tissue according to frequency of ejaculation.
  • https://doi.org/10.1200/jco.2016.34.2_suppl.25Copy DOI Icon

Gene expression in prostate tissue according to frequency of ejaculation.

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Abstract

25 Background: Long-term prospective data from within the Health Professionals Follow-up Study (HPFS) suggest more frequent ejaculation throughout adult life may be protective against future development of prostate cancer (PCa). Compared to men with an average monthly ejaculation frequency (EF) of 4-7 times/month during adulthood, men who ejaculated at least 21 times per month were 30% less likely to be diagnosed with PCa after adjustment for a number of potential confounders and PCa screening. We sought to explore mechanisms through which EF may influence PCa development utilizing gene expression data assessed on tumor and adjacent normal tissue. Methods: In 1992, 31,925 HPFS participants were questioned on their average monthly EF at ages 20-29, 40-49, and in the previous year; 3,839 of these men were later diagnosed with PCa. Expression of 20,254 genes was available from archival tumor tissue from 156 cases; 84 of these cases also had data from adjacent normal tissue. We regressed each gene expression value as a continuous outcome on EF, age at diagnosis, and year at diagnosis. We calculated the p value associated with the coefficient for the EF variable as a measure of the strength of the trend test. We then used t values for the coefficients to rank the genes, and ran a gene set enrichment analysis to identify pathways with genes associated with EF. Results: We observed that while there was not much signal in the tumor tissue, there was enrichment of smaller p values in the adjacent normal tissue. EF in the time period most proximal to diagnosis is most strongly associated with gene expression in normal tissue. Focusing on the association between gene expression in normal tissue and EF in the year prior to the questionnaire (1991), the top six differentially expressed genes were OR4K1, CCDC138, SERPINA9, TRMT61B, ZNF302, and ASB4. Gene set enrichment analysis revealed a substantial number of pathways differentially expressed at the FDR <0.05 threshold. Conclusions: Identifying changes in gene expression associated with EF in normal prostate tissue provides further support for a biological role of ejaculation frequency in the etiology of PCa. Notably, pathways downregulated with increasing ejaculation frequency were primarily immune related.

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