Evidence map›Paper›PMID 41982746›Full record

ArticleJournal of hepatocellular carcinoma2026

Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis.

Xiaojing Ma, Linlin Ying, Xueping Xiang

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xiaojing MaDepartment of Pathology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.ORCID 0000-0003-1933-0280
Linlin YingDepartment of Pathology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.ORCID 0009-0003-3857-0746
Xueping XiangDepartment of Pathology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, People's Republic of China.ORCID 0000-0003-3545-4013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells, hypoxia and immune escape have complex relationships in hepatocellular carcinoma (HCC). However, the prognostic value of T cell hypoxia and immune escape-related differentially expressed genes (T-HIERDEGs) remains unknown. This study aims to explore the prognostic value of T-HIERDEGs in HCC under hypoxic microenvironment and to construct a corresponding predictive model. We integrated public single-cell and batch transcriptome data, combined with hypoxia and immune escape gene sets, to identify T cell-related hypoxia-immune escape genes. A prognostic risk model consisting of 13 genes was established and validated in the TCGA cohort, and it showed good predictive performance in multiple independent GEO cohorts. Further analysis revealed significant differences in immune microenvironment, mutation burden, and drug sensitivity among patients in different risk groups. Single-cell analysis identified four T cell subpopulations, among which the TIGIT+ and ANXA1+ subpopulations had higher characteristic scores and were closely related to hypoxia, metabolism, and immune regulatory pathways. The model genes showed high specificity of expression in these subpopulations. In vitro experiments further verified the expression of model genes in HCC cell lines. The results of functional experiments showed that knockdown of LGALS3 could inhibit cell proliferation and invasion and promote apoptosis, while affecting drug sensitivity to Dasatinib. In summary, this study constructed a robust prognostic model based on T-HIERDEGs, systematically revealed the immune and molecular characteristics of different risk groups, explained the heterogeneity of T cell subpopulations in the hypoxic microenvironment and their potential role in immune escape, and provided a new theoretical basis and candidate targets for the prognosis assessment, immunotherapy, and combined strategies of HCC.

Indexed as

hepatocellular carcinomahypoxiaimmune escapeprognostic modelsingle-cell and bulk RNA-sequencingT cells

Identifiers

PMID41982746
PMCPMC13071829

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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.