Polymorphisms in MicroRNA-Related Genes Are Associated With Survival of Patients With T-Cell Lymphoma

Objective. Elaborate evaluation of prognosis of T-cell lymphoma (TCL) is vital for current therapy and future stratified and individualized therapy. MicroRNAs (miRNAs) play important roles in cancer development and prognosis.We aimed to assesstheeffectsofsinglenucleotidepolymorphisms(SNPs)in miRNA-related genes on the survival of patients with TCL. Patients and Methods.We genotyped 13 SNPs selected from 12 miRNA-related genes in 220 TCL patients and explored the association of SNPs with survival. Results. Amongthe 13 SNPs, four (DROSHA rs6877842, DICER rs3742330, mir149 rs2292832, and mir499 rs3746444) were significantly associated with TCL survival after adjusting for subtypeand International Prognostic Indexscore.Instratified analyses, all four SNPs remained significantly associated with survival in patients with mature T type. Of the four SNPs, onlymir149rs2292832 was not significantlyassociatedwith survivalinpatientswithanInternationalPrognosticIndexscore of 0–1. Furthermore, a dose-dependent cumulative effect of the four SNPs on TCL survival was observed by counting the numberofunfavorablegenotypes.Survivaltreeanalysisalso showed higher order interactions between these SNPs. Conclusion.The results suggested that miRNA-related polymorphisms are associated with survival of TCL patients; thus, theymaybeusedindividually andjointlytopredictsurvival of patients with TCL.The Oncologist 2014;19:1–7 ImplicationsforPractice:Besidesthecharacteristicsofatumoritself,geneticpolymorphismsinrelevantgenesareconsideredto beimportantininfluencingtheclinicaloutcomesofpatients.PreviousstudieshavesuggestedthatmicroRNAsareassociatedwith survival of patients with T-cell lymphoma (TCL); therefore, we performed association analyses of 13 carefully selected polymorphisms in microRNA-related genes. The results suggested that four polymorphisms in microRNA-related genes are associated with survival of patients with TCL. These polymorphisms may be used to predict the survival of patients with TCL individually or collectively. Although the results are exploratory, they provide clues to warrant further investigation.