Abstract
Abstract Background: The current strategies of prostate cancer (PC) detection, such as serum PSA, digital rectal examination (DRE) and prostate biopsy have been hampered by many limitations, including the degree of aggressiveness, invasiveness, non-specificity to PCa, over diagnosis and over treatment. Recent studies have proposed the use of cell-free circulating DNA (cf-DNA) as non-invasive biomarkers for cancer diagnosis, prediction of tumor burden and prognosis. We hypothesize that a selective subset of PC associated Single Nucleotide Polymorphisms (SNPs) in urine cf-DNA detects PCa with high specificity and sensitivity. Aim: To identify PC specific SNPs in urine cf-DNA from prostate cancer (PC) patients and further validate their clinical utilities as non-invasive biomarkers for early detection of PC in comparison to other genitourinary conditions, such as benign prostate hyperplasia (BPH) and prostatitis. Method and Results: A protocol was optimized for collection, processing and storage of urine samples and isolation of urine cf-DNA. Our discovery dataset was constructed by comparative Illumina HiSeq next generation sequencing (NGS) of urine cf-DNA from three different cohorts of patients presenting with PC (Gleason score 6), benign prostatic hyperplasia (BPH) or prostatitis. The data was analyzed by SNAPE-pooled and annotated using ANNOVAR; revealing 24 PC-specific non-synonymous SNPs. The selective detection of urine cf-DNAs in PC patients was verified by conventional PCR using primers flanking their genomic sites. Our validation analysis was performed in patients (n = 50/group) diagnosed with PC (Gleason score ≤ 3+4), Gleason score ≥ than 4 + 3, or patients deemed as “no cancer seen”. This was performed by Droplet Digital PCR (ddPCR) targeting wild-type versus variant (SNP) DNA in each patient sample. The results have revealed detection of two PC specific SNPs in urine cf-DNA (>60% for SNP1 and >75% SNP2 in 91 patients; patent pending). Conclusion: Our study brings forth the potential clinical utility for two novel urine cf-DNA SNPs as early biomarkers for prostate cancer. Citation Format: Amrita Datta, Hogyoung Kim, Allison Feibus, Melody Badoo, Adedoyin Johnson, Ahmed Moustafa, Jonathan Silberstein, Krishnarao Moparty, Raju Thomas, Asim B. Abdel-Mageed. Urine cf-DNA SNPs as early biomarkers of prostate cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 424.
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