Evidence map›Paper›PMID 40518504›Full record

ArticleDiscover oncology2025

Hypoxia-related signatures predicts survival, immunosuppression and PARP inhibitor resistance in HCC.

Min Su, Haibo Duan, Yu Gu, Jianfu Zhao

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

4 authors.

Min SuDepartment of Oncology, Cancer Diagnosis and Therapy Research Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Haibo DuanDepartment of Oncology, Cancer Diagnosis and Therapy Research Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Yu GuGuangzhou Institute of Cancer Research, Affiliated Cancer Hospital,Guangzhou Medical University, Guangzhou, 510000, Guangdong, China. guyu407@126.com.
Jianfu ZhaoDepartment of Oncology, Cancer Diagnosis and Therapy Research Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. zhaojianfu@jnu.edu.cn.

Funding

Guangzhou City-University- Enterprise Joint Funding Program 2024A03J0648Guangzhou Health Science and Technology Project 20231A010076Guangzhou Science and Technology Project 202201010791
6 · The paper itself

Abstract

backgroundDespite extensive research on hypoxia in hepatocellular carcinoma (HCC), previous studies have relied on pre-existing hypoxia gene sets, limiting their specificity. We developed a novel approach using direct comparison of hypoxic versus normoxic HCC cell lines to establish a more precise hypoxia signature.

methodsThrough differential gene expression analysis of HCC cells under controlled oxygen conditions (GSE185969) and integration with TCGA-LIHC data, we identified and validated a highly specific 29-gene hypoxia signature. We performed comprehensive immune profiling and genomic instability analyses using multi-omics approaches.

resultsOur HCC-specific hypoxia signature demonstrated superior prognostic value (AUC: 0.805, 0.805, 0.748 at 1/3/5 years) compared to conventional hypoxia markers. High-risk tumors showed distinct immunosuppressive features including reduced CD8 + T cells and elevated Th2 cells, along with significantly increased expression of immune checkpoints CD274 (PD-1, p < 0.05) and CD276 (B7-H3, r = 0.62, p < 0.001). Notably, we uncovered an unexpected inverse relationship between hypoxia-induced genomic instability and PARP inhibitor sensitivity, challenging current therapeutic paradigms.

conclusionOur methodology establishes a more precise hypoxia signature specific to HCC, advancing beyond traditional approaches. The paradoxical finding of reduced PARP inhibitor sensitivity in genomically unstable tumors reveals new complexities in hypoxia-driven treatment resistance, suggesting the need for alternative therapeutic strategies in hypoxic HCC.

Indexed as

Genomic instabilityHepatocellular carcinomaHypoxiaPrognostic signatureTumor immune microenvironment

Identifiers

PMID40518504
PMCPMC12167732

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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.