MP87-18 ASSOCIATION OF GERMLINE GENETIC VARIANTS WITH TMPRSS2-ERG FUSION STATUS IN PROSTATE CANCER

Abstract

You have accessJournal of UrologyProstate Cancer: Basic Research & Pathophysiology III1 Apr 2017MP87-18 ASSOCIATION OF GERMLINE GENETIC VARIANTS WITH TMPRSS2-ERG FUSION STATUS IN PROSTATE CANCER Indu Kohaar, Lakshmi Ravindranath, Denise Young, Amina Ali, Qiyuan Li, Albert Dobi, David McLeod, Inger Rosner, Isabell Sesterhenn, Matthew Freedman, Shiv Srivastava, and Gyorgy Petrovics Indu KohaarIndu Kohaar More articles by this author , Lakshmi RavindranathLakshmi Ravindranath More articles by this author , Denise YoungDenise Young More articles by this author , Amina AliAmina Ali More articles by this author , Qiyuan LiQiyuan Li More articles by this author , Albert DobiAlbert Dobi More articles by this author , David McLeodDavid McLeod More articles by this author , Inger RosnerInger Rosner More articles by this author , Isabell SesterhennIsabell Sesterhenn More articles by this author , Matthew FreedmanMatthew Freedman More articles by this author , Shiv SrivastavaShiv Srivastava More articles by this author , and Gyorgy PetrovicsGyorgy Petrovics More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.2722AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Oncogenic activation of ERG resulting from prevalent gene fusions is present in two thirds of prostate cancer (CaP) patients of European Ancestry including Caucasian Americans (CA). Our laboratory and others have recently reported that major cancer driver genes, including ERG, show significant racial/ethnic differences in CaP with lower frequencies in African Americans (AA), Africans and Asians. Racial differences of CaP associated SNPs have also been extensively described. However, there is limited data on germline association with ERG fusion status. The goal of this study is to identify germline molecular determinants associating with ERG status of CaP. METHODS Blood derived genomic DNA samples were prepared from 270 AA men and 129 CA men treated by radical prostatectomy at Walter Reed National Military Medical Center. ERG status was determined in whole mounted prostate specimens by immuno-histochemistry (IHC) for ERG protein expression as a surrogate for the TMPRSS2-ERG fusion. Blinded blood samples were genotyped for SNPs on the Illumina Golden Gate platform using Infinium Oncoarray, a 500K genome wide BeadChip kit from Illumina. Data analysis approaches included association analyses based on logistic regression, Principal Component Analysis (PCA) and Efficient Mixed-Model Association eXpedited (EMMAX) analysis. Genotype imputation analysis is being performed by IMPUTE2 program. RESULTS After applying rigorous sample and SNP QC steps on the datasets, SNP genotyping analysis was performed in 321 patients with 478,299 SNPs. Logistic regression, principal component analysis by EIGENSTRAT and a variance component approach, EMMAX analysis were performed to account for population structure. By EMMAX we identified SNPs associated with ERG status. The SNPs most significantly (<10-5) associated with ERG fusion status included rs6698333, an intron variant of Kruppel-like factor 17 (KLF17) and two SNPs (rs1889877, rs3798999) in the intron of adhesion G protein-coupled receptor B3 (ADGRB3). Fine-mapping of SNPs is underway by genotype imputation analysis (IMPUTE2) using the 1000 Genomes reference dataset, followed by independent validation. CONCLUSIONS This study identified SNPs differentially associated with ERG status of CaP, a major driver oncogene in CaP. Although the biological significance as it relates to ERG status of CaP still needs to be determined, these SNPs, with independent validation, may help as markers in stratifying patients early (even before CaP is detected) for targeted prevention and treatment options. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e1172-e1173 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Indu Kohaar More articles by this author Lakshmi Ravindranath More articles by this author Denise Young More articles by this author Amina Ali More articles by this author Qiyuan Li More articles by this author Albert Dobi More articles by this author David McLeod More articles by this author Inger Rosner More articles by this author Isabell Sesterhenn More articles by this author Matthew Freedman More articles by this author Shiv Srivastava More articles by this author Gyorgy Petrovics More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...