Evidence map›Paper›PMID 40531258›Full record

ArticleDigestive diseases and sciences2025

Seven Hypoxia and Immune-Related Features Predict Prognosis in Patients with Hepatocellular Carcinoma.

Yun Lu, Xiangyu Li, Kai Zhao, Peng Qiu, Wei Yao

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Article in Digestive diseases and sciences, 2025. 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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5 · Who and what money

Authors and funding

5 authors.

Yun LuDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Xiangyu LiDepartment of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Kai ZhaoDepartment of Biliary and Pancreatic Surgery/Cancer Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Peng QiuDepartment of Biliary and Pancreatic Surgery/Cancer Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Wei YaoDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. yw13557@tjh.tjmu.edu.cn.

Funding

National Natural Science Foundation of China No. 82373322Youth Program of National Natural Science Foundation of China 81902439
6 · The paper itself

Abstract

backgroundThe role of hypoxia and immunity in the progression of hepatocellular carcinoma (HCC) was highly critical. However, there were few application-based studies on hypoxia and immune molecules in HCC prognosis prediction. This study aims to reveal the prognostic significance of hypoxia- and immune-related genes in HCC.

methodsWe identified the hypoxia- and immune-related differentially expressed genes (HIDEGs) from the Cancer Genome Atlas (TCGA). Seven HIDEGs associated with the prognosis of HCC were identified with the Cox regression and LASSO analysis. The prognosis model was validated in both the TCGA (n = 420) and Gene Expression Omnibus (GEO) (GSE14520-GPL3921, n = 222) databases. CIBERSORT was applied to measure the fractions of immune cell types. The drug sensitivity analysis was used to evaluate the applicability of drug treatment to HCC patients. The effect of ADM on the malignant biological behaviors of HCC was measured by plate colony formation assay, Cell Counting Kit-8 (CCK-8) assay, scratch wound assay and Transwell migration and invasion assays.

resultsWe identified 78 HIRDEGs associated with survival time in HCC, among them, seven genes were chosen to construct a prognosis model. The prognosis model showed good performance in predicting prognosis in HCC patients in both the TCGA (n = 420) and Gene Expression Omnibus (GEO) (GSE14520-GPL3921, n = 222) databases. Based on the median risk score, HCC patients were classified into high- and low-risk groups. The high-risk group suffered worse survival time and contained higher proportions of M0/M1 macrophages and monocytes, and showed greater expression of classical immune checkpoints, including PD-1, PD-L1, and CTLA4. Furthermore, we presented that ADM was up-regulated by hypoxia, and silencing its expression suppressed HCC cells proliferation, migration, and invasion in vitro.

conclusionThe hypoxia- and immune-related signatures are promising biomarkers for HCC prognosis. ADM might be a novel target for HCC treatment.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsTumor HypoxiaBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisBiomarkers, TumorHepatocellular carcinomaHypoxiaImmunePrognosticRisk scoreTCGA

Identifiers

PMID40531258
PMCPMC12627134

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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.