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Updated: Apr 21, 2026
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
Association of prostate cancer risk variants with gene expression in normal and tumor tissue
Kathryn L Penney1, Jennifer A Sinnott2, Svitlana Tyekucheva3
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. kpenney@hsph.harvard.edu.
Background:
Numerous germline genetic variants are associated with prostate cancer risk, but their biologic role is not well understood. One possibility is that these variants influence gene expression in prostate tissue. We therefore examined the association of prostate cancer risk variants with the expression of genes nearby and genome-wide.
Methods:
We generated mRNA expression data for 20,254 genes with the Affymetrix GeneChip Human Gene 1.0 ST microarray from normal prostate (N = 160) and prostate tumor (N = 264) tissue from participants of the Physicians' Health Study and Health Professionals Follow-up Study. With linear models, we tested the association of 39 risk variants with nearby genes and all genes, and the association of each variant with canonical pathways using a global test.
Results:
In addition to confirming previously reported associations, we detected several new significant (P < 0.05) associations of variants with the expression of nearby genes including C2orf43, ITGA6, MLPH, CHMP2B, BMPR1B, and MTL5. Genome-wide, five genes (MSMB, NUDT11, RBPMS2, NEFM, and KLHL33) were significantly associated after accounting for multiple comparisons for each SNP (P < 2.5 × 10(-6)). Many more genes had an FDR <10%, including SRD5A1 and PSCA, and we observed significant associations with pathways in tumor tissue.
Conclusions:
The risk variants were associated with several genes, including promising prostate cancer candidates and lipid metabolism pathways, suggesting mechanisms for their impact on disease. These genes should be further explored in biologic and epidemiologic studies.
Impact:
Determining the biologic role of these variants can lead to improved understanding of prostate cancer etiology and identify new targets for chemoprevention.
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