Relationship among ETV1 genetic polymorphisms, PFS, and microRNA in gastrointestinal stromal tumors.
e22513 Background: In order to evaluate the pharmacokinetic and pharmacogenomic determinants for prognosis of gastrointestinal stromal tumor (GIST). It is necessary to explore a biological predictors to predict and optimal therapeutic strategy. But there were few studied conducted to explore the germline mutation and its mechanisms. Methods: A total of 75 GIST patients treated with Imatinib were enrolled. 35 SNPs (single nucleotide polymorphisms) in KIT/ PDGFRA/ PDGFRB/ ETV1/ FLT1/ MAPK1 et. al were detected using Agena Massarray matrix-assisted laser desorption / ionization-time of flight (MALDI-TOF) platform. COX regression analyses were performed to evaluate the key factors of PFS. The luciferase reporter system of rs3735343 wild type and mutation were established. The GIST-T1 cell line was used to evaluate the biology effect of rs3735343. This study was approved by the ethical committee of Sun Yat-Sen University Cancer Center. Results: Several factors influence the PFS, including KIT somatic mutation, tumor size and germline mutation ABCC4 rs4148551, ETV1 rs3735343, FLT1 rs3751397, KIT rs3822214. And COX regression showed that rs3735343 and tumor size are associated with PFS (P = 0.009 and 0.032, Risk Ratio = 8.995 and 4.173). And we found that rs3735343 mutation type can regulate ETV1 3’UTR and protein expression level through miR-4311 in vitro. Conclusions: The primary determinants of PFS in this somatic and germline mutation model suggested new biomarkers and different mechanisms involved in prognosis. This is the first report showed that ETV1 genetic polymorphisms may influence the prognosis through miRNA-4311. Targeting ETV1, miRNA-4311 or their relative pathway might be a new therapy strategy.