Genome-wide significant associations were observed with 84 variants all located at the known PrCa risk regions at 8q24 (128.484-128.548) and 10q11.22 (MSMB gene).
Additionally, 6 pathways were identified based on identified variants and genes, including estrogen signaling pathway, signaling by MST1, IL-15 production, MSP-RON signaling pathway, and IL-12 signaling and production in macrophages, which are known to be associated with prostate cancer.
Plasma MSP concentrations were inversely associated with prostate cancer risk after adjusting for total prostate-specific antigen concentration [odds ratio (OR) highest versus lowest fourth of MSP = 0.65, 95% confidence interval (CI) 0.51-0.84, Ptrend = 0.001].
A total of 31 proteins were associated with prostate cancer risk including proteins encoded by <i>GSTP1</i>, whose methylation level was shown previously to be associated with prostate cancer risk, and <i>MSMB, SPINT2, IGF2R</i>, and <i>CTSS</i>, which were previously implicated as potential target genes of prostate cancer risk variants identified in genome-wide association studies.
Our data revealed that the T allele of MSMBrs10993994 polymorphism was significantly associated with PCa in all subjects (allele contrast: OR=1.24, 95% CI=1.19-1.29, p<0.001).
We also review the diagnostic assays that are developed for PSP94 for use in the diagnosis of PCa and use of such tests in the differential diagnosis of PCa from benign prostatic hyperplasia (BPH).
We assessed the performance of a 4-kallikrein panel with and without microseminoprotein-β to predict high grade (Gleason 7+/Gleason Grade Group 2+) prostate cancer on biopsy in a multiethnic cohort from PLCO (Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial).
Our objective was to determine the gene expression pattern of the SFRP family in prostatic cell lines and fresh frozen tissues from normal prostates (NP), benign prostatic hyperplasia (BPH) and prostate cancer (PCa), by qRT-PCR, and their DNAme status by MSP and bisulfite sequencing.
Across 66 meta-analyses, a total of 20 genetic variants involving 584,100 subjects in 19 different genes (KLK3, IGFBP3, ESR1, SOD2, CAT, CYP1B1, VDR, RFX6, HNF1B, SRD5A2, FGFR4, LEP, HOXB13, FAS, FOXP4, SLC22A3, LMTK2, EHBP1 and MSMB) exhibited significant association with prostate cancer.
In this report, individual domains of prostate cancer related biomarkers; MSMB and PSA were overexpressed in bacterial system and purified in their folded forms using affinity chromatography.
A peak at m/z 10,760 was identified as β-microseminoprotein (β-MSMB) and found to be statistically lower in urine from PCa participants using the peak's average areas.
Another novel mechanism, which we propose in this review article, is that PSP94 may protect against prostate cancer by preventing or limiting an intracellular fungal infection in the prostate.
These data indicate that the increase in PC risk associated with rs10993994:C>T is likely mediated by the variant's effect on PSP94 expression; however, this effect does not extend to NCOA4 in the data presented here.
Quantitative RT-PCR analysis revealed that MSMB, NBL1 and AZGP1 were expressed with much higher specificity in PCa and NP than in 14 other kinds of normal tissue.
Variants in the promoter of the MSMB gene have been associated with the risk of prostate cancer (PCa) in several independent genome-wide association studies.