Association of germline genetic variants with TMPRSS2-ERG fusion status in prostate cancer
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Indu Kohaar1,2, Qiyuan Li3, Yongmei Chen1,2, Lakshmi Ravindranath1,2, Denise Young1,2, Amina Ali1,2, Isabell A. Sesterhenn4, Inger L. Rosner1, Jennifer Cullen1,2, Shiv Srivastava1, Matthew Freedman3 and Gyorgy Petrovics1,2
1 Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences and the Walter Reed National Military Medical Center, Bethesda, Maryland, USA
2 Henry Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, Maryland, USA
3 Department of Medicine, Harvard Medical School and Dana-Farber Cancer Institute, Massachusetts General Hospital, Boston, Massachusetts, USA
4 Joint Pathology Center, Silver Spring, Maryland, USA
Keywords: prostate cancer;
Received: December 02, 2019 Accepted: March 03, 2020 Published: April 14, 2020
Introduction: Oncogenic activation of ERG resulting from TMPRSS2-ERG gene fusion is a key molecular genetic alteration in prostate cancer (CaP). The frequency of ERG fusion is variable by race; however, there are limited data available on germline polymorphisms associating with ERG fusion status. The goal of this study is to identify the inherited risk variants associating with ERG status of CaP.
Materials and Methods: SNP genotyping was performed on the Illumina platform using Infinium Oncoarray SNP chip on blood derived genomic DNA samples from 400 patients treated by radical prostatectomy at a single military institution. ERG status was determined in whole mounted prostate specimens by immuno-histochemistry (IHC) for ERG protein expression. Data analysis approaches included association analyses based on EMMAX and imputation by IMPUTE2. Imputed SNPs were validated by ddPCR.
Results: SNP genotyping analysis using imputation identified rs34349373 (p 4.68 × 10-8) and rs2055272 (p 5.62 × 10-8) in TBC1D22B to be significantly associated with ERG fusion status in index tumor and non-index tumor foci. Imputed SNP rs2055272 was further experimentally validated by ddPCR with 98.04% (100/102) concordance. Initial discovery analysis based on SNPs on Oncoarray SNP chip, showed significant (p 10-5) association for SNPs (rs6698333, rs1889877, rs3798999, rs10215144, rs3818136, rs9380660 and rs1792695) with ERG fusion status. The study also replicated two previously known ERG fusion associated SNPs (rs11704416 in chromsome 22; rs16901979 in chromosome 8).
Conclusions: This study identified SNPs associated with ERG status of CaP.
Impact: The findings may contribute towards defining the underlying genetics of ERG positive and ERG negative CaP patients.
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