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Programmed-Cell-Death-Related Signature Reveals Immune Microenvironment Characteristics and Predicts Therapeutic
Donghui Xing1, Kaiping Luo1, Xiang He2,3,4,5
1Department of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300192, China.
Biomedicines
|October 29, 2025
Summary
A new Programmed Cell Death Score (PCDS) effectively predicts survival and treatment response in Diffuse Large B cell Lymphoma (DLBCL). This score aids in personalized medicine by stratifying patients based on risk and immune profiles.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Diffuse Large B cell Lymphoma (DLBCL) is an aggressive, heterogeneous cancer with significant relapse and resistance challenges.
- Programmed cell death (PCD) pathways influence tumorigenesis, the tumor microenvironment (TME), and drug sensitivity in DLBCL.
- Novel therapeutic strategies targeting PCD are needed for DLBCL management.
Purpose of the Study:
- To develop and validate a prognostic signature based on multiple PCD pathways for DLBCL patients.
- To assess the association of this signature with patient survival, immune infiltration, and drug sensitivity.
Main Methods:
- Systematic analysis of 13 PCD pathways and integration of transcriptomic and clinical data from 832 DLBCL patients.
- Construction of a Programmed Cell Death Score (PCDS) using 20 key PCD-related genes.
- Evaluation of PCDS using survival analysis, drug response profiling, and immune infiltration assessment (CIBERSORT, ESTIMATE, ssGSEA).
Main Results:
- The PCDS robustly stratified DLBCL patients by survival, outperforming conventional clinical indicators.
- High-PCDS tumors showed immune suppression, reduced CD8+ T cell infiltration, and increased PD-1/PD-L1 expression.
- PCDS predicted differential drug sensitivity, suggesting sorafenib/fulvestrant for high-PCDS and NU7441 for low-PCDS patients.
Conclusions:
- A novel PCDS effectively stratifies DLBCL patients by risk and therapeutic responsiveness.
- The PCDS is significantly associated with the TME's immunological characteristics.
- Findings support personalized treatment strategies and clinical decision-making for DLBCL.

