Evidence map›Paper›PMID 39966876›Full record

ArticleJournal of translational medicine2025

Integration of single-cell and spatial transcriptomics reveals fibroblast subtypes in hepatocellular carcinoma: spatial distribution, differentiation trajectories, and therapeutic potential.

Yue Liu, Guoping Dong, Jie Yu, Ping Liang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

36 citing papers in PubMed.

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  8. Understanding how hypoxia contributes to liver cancer stem cells maintenance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  9. Article
  10. Targeting Tumor-Associated Macrophages and Cancer-Associated Fibroblasts to Overcome Therapeutic Resistance in Hepatocellular Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
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  12. POSTNOncology reports · 2026
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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.

Yue LiuSchool of Medicine, Nankai University, Tianjin, 300071, China.
Guoping DongDepartment of Ultrasound, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China.
Jie YuDepartment of Ultrasound, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China.
Ping LiangSchool of Medicine, Nankai University, Tianjin, 300071, China. liangping301@126.com.ORCID 0000-0001-8933-6392

Funding

National Natural Science Foundation of China 82102043National Natural Science Foundation of China 92159305
6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) are key components of the hepatocellular carcinoma (HCC) tumor microenvironment (TME). regulating tumor proliferation, metastasis, therapy resistance, immune evasion via diverse mechanisms. A deeper understanding of the l diversity of CAFs is essential for predicting patient prognosis and guiding treatment strategies.

methodsWe examined the diversity of CAFs in HCC by integrating single-cell, bulk, and spatial transcriptome analyses.

resultsUsing a training cohort of 88 HCC single-cell RNA sequencing (scRNA-seq) samples and a validation cohort of 94 samples, encompassing over 1.2 million cells, we classified three fibroblast subpopulations in HCC: HLA-DRB1 + CAF, MMP11 + CAF, and VEGFA + CAF based on highly expressed genes of which, which are primarily located in normal tissue, tumor boundaries, and tumor interiors, respectively. Cell trajectory analysis revealed that VEGFA + CAFs are at the terminal stage of differentiation, which, notably, is tumor-specific. VEGFA + CAFs were significantly associated with patient survival, and the hypoxic microenvironment was found to be a major factor inducing VEGFA + CAFs. Through cellular communication with capillary endothelial cells (CapECs), VEGFA + CAFs promoted intra-tumoral angiogenesis, facilitating tumor progression and metastasis. Additionally, a machine learning model developed using high-expression genes from VEGFA + CAFs demonstrated high accuracy in predicting prognosis and sorafenib response in HCC patients.

conclusionsWe characterized three fibroblast subpopulations in HCC and revealed their distinct spatial distributions within the tumor. VEGFA + CAFs, which was induced by hypoxic TME, were associated with poorer prognosis, as they promote tumor angiogenesis through cellular communication with CapECs. Our findings provide novel insights and pave the way for individualized therapy in HCC patients.

Indexed as

Carcinoma, HepatocellularCell DifferentiationFibroblastsGene Expression ProfilingLiver NeoplasmsSingle-Cell AnalysisTranscriptomeCancer-Associated FibroblastsFemaleGene Expression Regulation, NeoplasticHumansMaleNeovascularization, PathologicTumor MicroenvironmentVascular Endothelial Growth Factor AVascular Endothelial Growth Factor AAngiogen esisHepatocellular carcinomaHypoxic microenvironmentTumor-associated fibroblastsVEGFA + CAF

Identifiers

PMID39966876
PMCPMC11837652

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LicenceCC BY-NC-ND
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Registered trials

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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.