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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
A cell death program-based tumor signature stratifies prognosis, immune landscape, and therapeutic response in glioma
Huaichao Zhang1, Zijiang Yang1, Qiang Xie1
1Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Background:
Glioma exhibits profound intratumoral heterogeneity driven by coordinated cell death programs and dynamic tumor-microenvironment interactions. However, the transcriptional landscape linking inflammatory cell death signatures with malignant cell states, genomic alterations, and therapeutic vulnerability remains incompletely defined. We sought to develop a prognostic cell death-associated signature and elucidate its biological and clinical relevance in glioma.
Methods:
Using transcriptomic and clinical data from TCGA-GBMLGG and external validation cohorts, we constructed a pyroptosis-apoptosis-associated gene signature (PA.Sig) through integrative survival modeling. Genomic alteration profiling, pathway enrichment analyses, and tumor immune microenvironment characterization were performed. Single-cell RNA sequencing datasets were analyzed to delineate malignant cell states and intercellular communication patterns. Functional validation was conducted in glioma cell lines treated with chemotherapeutic agents.
Results:
PA.Sig stratified patients into high- and low-risk groups with significantly different overall survival and independent prognostic value. High-risk tumors were characterized by increased somatic mutation burden, enrichment of cell cycle and inflammatory pathways, and a malignant-centered outgoing signaling architecture. Single-cell analyses revealed preferential enrichment of MES-like and AC/MES-like states in high-risk tumors, accompanied by intensified ligand-receptor interactions with immune and stromal compartments. Despite increased immune infiltration, high-risk tumors displayed features of immune dysfunction and exhaustion. In vitro, chemotherapy induced concomitant apoptotic and pyroptotic morphologies in glioma cells, supporting coexistence of lytic and non-lytic death programs. Collectively, PA.Sig captured a coordinated inflammatory cell death landscape associated with aggressive cellular states and immune remodeling.
Conclusions:
Our study defines a clinically relevant inflammatory cell death signature that integrates tumor cell state plasticity, genomic instability, and immune microenvironment dynamics in glioma. PA.Sig may serve as a prognostic biomarker and provide a rationale for combinatorial strategies targeting cell death pathways and immune modulation.
