Correlation between Genomic Variants and Worldwide Epidemiology of Prostate Cancer

Abstract

Prostate cancer (PCa) incidence and mortality vary across territories and populations. This can be explained by the genetic factor of this disease. This article aims to correlate the epidemiological data, worldwide incidence, and mortality of PCa with single-nucleotide polymorphisms (SNPs) associated with the susceptibility and severity of this neoplasm in different populations. Eighty-four genetic variants associated with prostate cancer susceptibility were selected from the literature through genome association studies (GWAS). Allele frequencies were obtained from the 1000 Genomes Project, and epidemiological data were obtained from Surveillance, Epidemiology, and End Results (SEER). The PCa incidence, mortality rates, and allele frequencies of variants were evaluated by Pearson’s correlation. Our study demonstrated that 12 SNPs (rs2961144, rs1048169, rs7000448, rs4430796, rs2066827, rs12500426, rs6983267, rs11649743, rs2075110, rs114798100, rs855723, and rs2075109) were correlated with epidemiological data in different ethnic groups. Ten SNPs (rs2961144, rs1048169, rs7000448, rs4430796, rs2066827, rs12500426, rs11649743, rs2075110, rs114798100, and rs2075109) were positively correlated with the mortality rate. Seven SNPs (rs1048169, rs2961144, rs7000448, rs4430796, rs2066827, rs12500426, and rs114798100) were positively correlated with incidence. Positive correlations of incidence and mortality rates were more frequent in the African population. The genetic variants investigated here are likely to predispose to PCa and could play a role in its progression and aggressiveness. This genetic study demonstrated here is promising for implementing personalized strategies to screen for prostate cancer in diverse populations.

Risk Allele Frequency Analysis and Risk Prediction of Single-Nucleotide Polymorphisms for Prostate Cancer

“…Similar research has been done, where genes were extracted to correlate epidemiology of prostate cancer via each SNP genomic variant, where the genes would predict mortality or incidence [ 26 ]. The SNPS that overlapped were rs6983267 ( CCAT2 ), rs2066827 ( CDKN1B ).…”

The Role of Genetic Polymorphisms in the Diagnosis and Management of Prostate Cancer: An Update

“…These polymorphisms are located in genes such as HNF1B, CASC8, CDKN1B and others that are implicated in the regulation of cell cycle, metabolic pathways and cell division. These variants are more frequent in African population that show a greater risk of PCa compared with other ethnic groups (17).…”

“…Therefore, subjects carrying the METH G-allele might have an increased PCa risk (15,16). Another study reported that different SNPs are correlated with PCa predisposition; in particular, the variants rs7000448, rs1048169, rs2961144, rs4430796, rs12500426, rs2066827 and rs114798100 seem to correlate with PCa incidence (17). These polymorphisms are located in genes such as HNF1B, CASC8, CDKN1B and others that are implicated in the regulation of cell cycle, metabolic pathways and cell division.…”

The Role of ERα and ERβ in Castration-Resistant Prostate Cancer and Current Therapeutic Approaches

“…Prostate cancer (PCa) is the second most prevalent malignancy and the fifth most common factor in cancer-related deaths, with a 13.5% incidence rate and a 6.7% mortality rate among men worldwide [ 1 , 2 ]. Prostatic tumours, both benign and malignant, are uncommon among men before the age of 40 and are more prevalent with age.…”