Interleukin-10 Gene Polymorphisms are Associated With Freedom From Treatment Failure for Patients With Hodgkin Lymphoma

Abstract

Abstract CME Learning Objectives Discuss whether and how genetic variations influence clinical outcomes of Hodgkin lymphoma patients. Evaluate evidence that proximal IL10 promoter gene variations are associated with clinical courses of Hodgkin lymphoma patients. Compare host genetic variations from different cytokine/cytokine receptor gene variations. Background. Hodgkin lymphoma (HL) is a lymphoid malignancy characterized by the production of various cytokines possibly involved in immune deregulation. Interleukin-10 (IL-10) serum levels have been associated with clinical outcome in patients with HL. Because host genetic variations are known to alter the expression and function of cytokines and their receptors, we investigated whether genetic variations influence clinical outcome of patients with HL. Methods. A total of 301 patients with HL who were treated within randomized trials by the German Hodgkin Study Group were included in this exploratory retrospective study. Gene variations of IL-10 (IL-10-597AC, rs1800872; IL-10-824CT, rs1800871; IL-10-1087AG, rs1800896; IL-10-3538AT, rs1800890; IL-10-6208CG, rs10494879; IL-10-6752AT, rs6676671; IL-10-7400InDel), IL-13 (IL-13-1069CT, rs1800925; IL-13Q144R, rs20541), and IL-4R (IL-4RI75V, rs1805010; IL-4RQ576R, rs1801275) were genotyped. Results. Inferior freedom from treatment failure (FFTF) was found in patients harboring the IL-10-597AA, IL-10-824TT, or the IL-10-1087AA genotype. In contrast, the IL-10-1087G-824C-597C haplotype present in about 48% of analyzed HL patients is nominally significant for a better FFTF in a Cox-Regression model accounting for stage and treatment. No associations were observed between the other IL-10 gene variations, IL-13-1069CT, IL-13Q144R, IL-4RI75V, IL-4RQ576R and the clinical outcome of patients with HL. Conclusions. Our study provides further evidence that proximal IL-10 promoter gene variations are associated with clinical course of patients with HL. However, treatment success and survival rates are already at a very high rate, supporting the need to design studies focusing on identification of predictors to reduce the side effects of therapy.