Evidence map›Paper›PMID 42690554›Full record

ArticleDiscover oncology2026

Pan-cancer analysis identifies ODF2 as a dual prognostic and predictive biomarker for immunotherapy.

Wei Guo, Ling Ran, Xiangyang Shao, Yuan Tian, Ranran Shi

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei GuoDepartment of Basic Medical Sciences, Luohe Medical College, Luohe, 462000, China.
Ling RanDepartment of Basic Medical Sciences, Luohe Medical College, Luohe, 462000, China.
Xiangyang ShaoDepartment of Basic Medical Sciences, Luohe Medical College, Luohe, 462000, China.
Yuan TianDepartment of Basic Medical Sciences, Luohe Medical College, Luohe, 462000, China.
Ranran ShiDepartment of Basic Medical Sciences, Luohe Medical College, Luohe, 462000, China. ranranpeptide@163.com.

Funding

Doctoral Scientific Research Start-up Foundation of Luohe Medical College No. 2022-DF-02Luohe Medical College Science and Technology Innovation Project KJCX202401Luohe Medical College Science and Technology Innovation Project KJCX202506Natural Science Foundation of Henan Province 252300420627
6 · The paper itself

Abstract

backgroundTransforming immunologically "cold" tumors into inflamed "hot" remains a primary hurdle in cancer immunotherapy. Cancer-testis antigens (CTAs) represent highly promising targets for next-generation therapeutic cancer vaccines and adoptive cell therapies. However, the systemic immunogenomic landscape and prognostic significance of Outer Dense Fiber 2 (ODF2), an emerging CTA, across human malignancies remain largely unexplored. This study comprehensively decodes the pan-cancer immunological and prognostic characteristics of ODF2 to evaluate its broad-spectrum clinical utility.

methodsMulti-omics and clinical data from the TCGA, GTEx, and HPA databases were analyzed to assess the prognostic value of ODF2. Gene Set Enrichment Analysis (GSEA) was performed to identify associated biological pathways. The correlation between ODF2 expression, immune cell infiltration, and immune checkpoints was evaluated using multiple deconvolution algorithms. The predictive value of ODF2 for immune checkpoint blockade (ICB) therapy was assessed using independent clinical cohorts from the BEST database.

resultsODF2 is significantly upregulated across multiple solid tumors and correlates with poor clinical outcomes. GSEA revealed that high ODF2 expression is strongly enriched in cell cycle and oncogenic pathways. Furthermore, ODF2 expression exhibits positive correlation with immunosuppressive cell populations and major inhibitory immune checkpoints, while inversely correlating with infiltrating CD8

conclusionsODF2 is strongly associated with an immunosuppressive TME and serves as a predictive biomarker for ICB efficacy. Rather than definitively validating it as a universal target, these findings provide a theoretical rationale for investigating ODF2 as a potential candidate for next-generation peptide vaccines and adoptive T-cell therapies to overcome ICB resistance.

Indexed as

Cancer-testis antigenImmune infiltrationODF2PrognosisTumor microenvironment

Identifiers

PMID42690554
PMCPMC13542015

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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.