Genetic and transcriptomic analyses of diffuse large B‐cell lymphoma patients with poor outcomes within two years of diagnosis

作者
Weicheng Ren,Sulaf Abd Own,Hui Wan,Mattias Berglund,Xin Wang,Mao Yang,Xiangchun Li,Di Liu,Kristina Sonnevi,Gunilla Enblad,R. Amini,Birgitta Sander,Kui Wu,H. Zhang,Björn Engelbrekt Wahlin,Karin Ekstrom Ekstroem Smedby,Qiang Pan‐Hammarström
出处
期刊:Hematological Oncology [Wiley]
卷期号:41 (S2): 302-303
标识
DOI:10.1002/hon.3164_211
摘要

Background: R-CHOP immunochemotherapy is the first-line treatment for DLBCL, but approximately 30%–40% of patients still experience refractory or relapsed (R/R) disease. We aimed to characterize the molecular features of DLBCL derived from patients with early R/R disease and develop a prognosis model to identify those high-risk patients. Methods: We performed a comprehensive genomic and transcriptomic characterization on 161 R-CHOP-treated DLBCL samples. These patients were grouped by follow-up outcome status after R-CHOP treatment. The first group had R/R disease within two years of diagnosis (poor outcome; n = 50), and the second group remained in remission at two years following R-CHOP treatment (good outcome; n = 111). In an addition, external cohorts were included in the validation analysis (GSE117556, n = 374; GSE181063, n = 810). Results: Patients with poor outcomes more often had an advanced stage of the disease, a high international prognostic index (IPI) and a non-GCB subtype of the tumor. We identified a set of frequent somatically mutated targets (Figure 1A), including PIM1, TP53, MPEG1 and ROBO1, as well as a specific mutational signature (activation-induced cytidine deaminase related) in DLBCLs with poor outcomes. Transcriptomic analyses further showed a distinct gene expression pattern and a less inflamed tumor microenvironment in these patients (Figure 1B). Finally, we developed an 11-gene signature as an independent prognostic marker for DLBCL patients treated with R-CHOP (Figure 1C). The 11-gene signature could further stratify DLBCL patients based on their IPI scores (Figure 1D). Additionally, the use of 11-gene signature to identify high-risk patients was also validated in two independent cohorts, suggesting the robustness of the risk model. Furthermore, our model effectively identified high-risk patients, including those with double-hit and MCD genetic subtypes that are associated with poor survival outcomes. FIGURE 1 (A) The mutation pattern between poor outcome and good outcome DLBCLs. (B) Tumor-infiltrating immune cells in DLBCL patients with poor and good outcomes. (C-D) Kaplan–Meier survival analysis of PFS between high-risk and low-risk groups (C) and the association of 11-gene risk scores and IPI risk groups (D). Keywords: Aggressive B-cell non-Hodgkin lymphoma, Diagnostic and Prognostic Biomarkers, Genomics, Epigenomics, and Other -Omics No conflicts of interests pertinent to the abstract.

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