In addition, combined with the natural selection, it seems that 4 genes (EGFR, ERBB2, PTK2, and RAF1) with five SNPs (rs11238349, rs17172438, rs984654, rs11773818, and rs17172432) especially rs17172432, might be pivotal factors in the development of PCa.
Mutational analysis of EGFR TK domain (exons from 18 to 21) and immunohistochemistry for EGFR were performed on tumour tissues derived from radical prostatectomy from 100 PC patients.
Previously we have reported that antisense ODNs specific for transforming growth factor-alpha (TGF-alpha) and its binding site, the epidermal growth factor receptor (EGFR) (MR1 and MR2, respectively), are effective against the PC-3 in vitro and in vivo prostate cancer models.
Five SNP-SNP interactions in three gene pairs (MMP16+ ROBO1, MMP16+ CSF1, and MMP16+ EGFR) were identified to be associated with aggressive prostate cancer in both groups.
We identified 32 SNPs in five genes (TP63, ALDH1A1, WNT1, MET and EGFR) that were significantly associated with prostate cancer risk, of which six SNPs in three genes (TP63, ALDH1A1 and WNT1) and eight EGFR SNPs showed heterogeneity in susceptibility between these two racial groups.
Applying SIPI to the prostate cancer PRACTICAL consortium data with approximately 21 000 patients, the four SNP pairs in EGFR-EGFR , EGFR-MMP16 and EGFR-CSF1 were found to be associated with prostate cancer aggressiveness with the exact or similar pattern in the discovery and validation sets.
More specifically, these factors, and their receptors like EGFR (HER-1) and HER-2/neu, through paracrine and autocrine mechanisms, may contribute to the proliferation and growth of prostate cancer.
Although EGFR expression was not an independent prognostic variable, the potential utility of anti-EGFR medications might be worth further investigation in EGFR-expressing prostate cancer.