SOCS1 Mutation Subtypes Predict Divergent Outcomes in Diffuse Large B-Cell Lymphoma (DLBCL) Patients

Schif, Birgit and Lennerz, Jochen K. and Kohler, Christian W. and Bentink, Stefan and Kreuz, Markus and Melzner, Ingo and Ritz, Olga and Truemper, Lorenz and Loeffler, Markus and Spang, Rainer and Moeller, Peter (2013) SOCS1 Mutation Subtypes Predict Divergent Outcomes in Diffuse Large B-Cell Lymphoma (DLBCL) Patients. ONCOTARGET, 4 (1). pp. 35-47. ISSN 1949-2553,

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Abstract

Suppressor of cytokine signaling 1 (SOCS1) is frequently mutated in primary mediastinal and diffuse large B-cell lymphomas (DLBCL). Currently, the prognostic relevance of these mutations in DLBCL is unknown. To evaluate the value of the SOCS1 mutation status as a prognostic biomarker in DLBCL patients, we performed full-length SOCS1 sequencing in tumors of 154 comprehensively characterized DLBCL patients. We identified 90 SOCS1 mutations in 16% of lymphomas. With respect to molecular consequences of mutations, we defined two distinct subtypes: those with truncating (major) and those with non-truncating mutations (minor), respectively. The SOCS1 mutated subgroup or the minor/major subtypes cannot be predicted on clinical grounds; however, assignment of four established gene-expression profile-based classifiers revealed significant associations of SOCS1 major cases with germinal center and specific pathway activation pattern signatures. Above all, SOCS1 major cases have an excellent overall survival, even better than the GCB-like subgroup. SOCS1 minor cases had a dismal survival, even worse than the ABC gene signature group. The SOCS1 mutation subsets retained prognostic significance in uni- and multivariate analyses. Together our data indicate that assessment of the SOCS1 mutation status is a single gene prognostic biomarker in DLBCL.

Item Type: Article
Uncontrolled Keywords: RANDOMIZED CONTROLLED-TRIAL; GENE-EXPRESSION; RITUXIMAB-CHOP; HYPERMUTATION; CHEMOTHERAPY; DEGRADATION; DIAGNOSIS; PROTEINS; MOTIF; LINE; Lymphoma; DLBCL; SOCS1 mutation
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 29 Apr 2020 06:04
Last Modified: 29 Apr 2020 06:04
URI: https://pred.uni-regensburg.de/id/eprint/17431

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