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Updated: Jun 13, 2026

A Novel Stromal Fibroblast-Modulated 3D Tumor Spheroid Model for Studying Tumor-Stroma Interaction and Drug Discovery
Published on: February 28, 2020
Pathogenic Mutations in the Tumor Microenvironment Drive Tumor Progression in Diffuse Large B-Cell Lymphoma Through
Vaishali Aggarwal1,2,3, Radhika Srinivasan4, Amanjit Bal1
1Molecular Biology Laboratory, Department of Histopathology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
None:
Background: Diffuse Large B-cell Lymphoma (DLBCL) is a biologically heterogeneous subtype of non-Hodgkin's lymphoma (NHL), accounting for 30-40% of cases worldwide. Despite the incorporation of rituximab into standard chemo-immunotherapy regimen, approximately one-third of patients present with relapsed or refractory disease, implicating the need for improved prognostic markers and therapeutic targets. Gene expression profiling successfully classified DLBCL into Germinal Center B-cell-like (GCB) and non-GCB subtypes, which differ in genetic alterations, response to therapy, and clinical outcome. While intrinsic tumor biology has been extensively studied, the contribution of the tumor microenvironment (TME) to disease progression and therapeutic resistance still remains incompletely understood. Methods: In this study, we investigated the mutational landscape of stromal-related genes in DLBCL and evaluated their impact on gene expression, downstream signaling pathways, and tumor progression. Results: A total of 176 DLBCL patients were screened, of which 113 were enrolled based on availability of complete clinical data. The cohort demonstrated male predominance (male:female ratio: 2.1:1), advanced disease stage in 72.6% of patients, and elevated serum lactate dehydrogenase levels in 57.5%. Based on immunohistochemistry, 43.4% cases were classified as GCB-DLBCL and 56.6% as non-GCB DLBCL. Although the International Prognostic Index (IPI) retained prognostic significance for event-free survival (EFS) and overall survival (OS), considerable heterogeneity was observed within similar risk groups. Whole-exome sequencing (WES) uncovered recurrent somatic mutations in key oncogenic and epigenetic regulators, including TNFAIP3, NFIB, NOTCH1, TSC2, EZH2, EP300, KMT2D, and B2M, with subtype-specific distribution. Pathway enrichment analysis implicated role of Notch, Wnt, mTOR, JAK-STAT, TGF-β, and antigen-presentation pathways. Comprehensive WES analysis identified multiple novel mutations in genes associated with the stromal/extracellular matrix with distinct patterns in GCB and non-GCB DLBCL, accompanied by concordant alterations in gene expression profiles, suggesting functional relevance within the TME. Functional validation through primary cell culture demonstrated significantly elevated Th2 (IL-4, IL-6, IL-10) and Th17 (IL-17) cytokines in co-cultures containing both neoplastic cells and stromal components, underscoring the role of TME in DLBCL progression. Conclusions: Taken together, this study provides novel insights into stromal mutational signatures and cytokine-mediated tumor-stroma interactions, offering potential prognostic biomarkers and therapeutic targets for the improved management of DLBCL.
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