Evidence map›Paper›PMID 40624624›Full record

ArticleBMC immunology2025

Integrated analysis of polytranscriptomics reveals TNFSF ligand genes in pancreatic cancer prognosis and immune regulation.

Zhaoda Deng, Lincheng Li, Zitong Yang, Guineng Zeng, Rong Liu

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In one paragraph

Article in BMC immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhaoda Deng *Medical School of Chinese PLA, Beijing, China.
Lincheng Li *Department of Surgery, Second Mobile Corps Hospital of Chinese People's Armed Police Force, Wuxi, China.
Zitong Yang *Medical School of Chinese PLA, Beijing, China.
Guineng ZengFaculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Rong LiuMedical School of Chinese PLA, Beijing, China. liurong301@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor necrosis factor (TNF) ligand superfamily plays a critical role in immune regulation and has emerged as a promising target in cancer immunotherapy. By binding to its receptor OX40 (CD134), TNFSF4 promotes the proliferation and survival of T cells and plays an important role in the tumor immune microenvironment, but its role in pancreatic cancer is unclear. This study aimed to investigate the expression patterns and prognostic significance of TNF ligand family members in pancreatic cancer (PC), with a specific focus on TNFSF4. We analyzed single-cell RNA sequencing data from the GSE212966 dataset to assess the expression of TNFSF ligands across immune cell types. TCGA-PAAD bulk RNA-seq data were used for non-negative matrix factorization (NMF) clustering to identify molecular subtypes based on TNFSF ligand expression profiles. Immune infiltration was quantified using single-sample gene set enrichment analysis (ssGSEA), and Kaplan-Meier survival curves were used to compare overall survival (OS) and progression-free survival (PFS) between subtypes. Immunotherapy response prediction was evaluated using tumor mutational burden (TMB), immunophenoscore (IPS), and tumor immune dysfunction and exclusion (TIDE) scores. Gene expression validation was performed using qRT-PCR. TNFSF ligands were predominantly expressed in antigen-presenting cells, particularly B cells and macrophages. NMF clustering identified two molecular subtypes of PC, with cluster 2 associated with significantly better OS and PFS (p < 0.05). TNFSF4, highly enriched in B cells, was found to regulate immune-related pathways such as B cell receptor signaling and cytokine-cytokine receptor interaction, as revealed by KEGG pathway analysis. TNFSF4 expression also correlated with favorable immunotherapy markers, suggesting its potential role as a predictive biomarker. These findings were supported by qRT-PCR validation. This study provides a TNFSF ligand-based molecular classification of pancreatic cancer and highlights the immunoregulatory role of TNFSF4. Its association with patient prognosis and immunotherapy responsiveness suggests potential clinical utility in guiding treatment strategies.

Indexed as

Biomarkers, TumorOX40 LigandPancreatic NeoplasmsTranscriptomeGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunotherapyPrognosisTumor MicroenvironmentBiomarkers, TumorOX40 LigandTNFSF4 protein, humanImmunotherapyPancreatic cancerTNFSF4TNFSF ligand genes

Identifiers

PMID40624624
PMCPMC12236027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.