Evidence map›Paper›PMID 39095854›Full record

ArticleMolecular cancer2024

Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts.

De-Zhen Guo, Xin Zhang, Sen-Quan Zhang, Shi-Yu Zhang, Xiang-Yu Zhang, Jia-Yan Yan, San-Yuan Dong, Kai Zhu, Xin-Rong Yang, Jia Fan and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
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  6. Preoperative MRI Intratumoral Heterogeneity Radiomics for Microvascular Invasion and Recurrence-Free Survival in HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Observational
  7. Article
  8. Review
  9. Article
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  13. METTL1-mediated mOncogene · 2026
    Article
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  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

De-Zhen Guo *Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Xin Zhang *Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Sen-Quan Zhang *Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Shi-Yu ZhangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Xiang-Yu ZhangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Jia-Yan YanDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
San-Yuan DongDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China.
Kai ZhuDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Xin-Rong YangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Jia FanDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
Jian ZhouDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China. zhou.jian@zs-hospital.sh.cn.
Ao HuangDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China. huang.ao@zs-hospital.sh.cn.

Funding

National Natural Science Foundation of China 81830102, 82072715, and 82150004Natural Science Funds of Shanghai 21ZR1413800, 20ZR1473100Shanghai Municipal Health Commission 20224Y0285, R2022-010Shanghai Municipal Health Commission Collaborative Innovation Cluster Project 2019CXJQ02Shanghai "Rising Stars of Medical Talent" Youth Development Program (Outstanding Youth Medical Talents), the Projects from the Shanghai Science and Technology Commission 19441905000 and 21140900300the Projects from Science Foundation of Zhong Shan Hospital, Fudan University 2021ZSCX28, 2020ZSLC31
6 · The paper itself

Abstract

backgroundTumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis. The heterogeneity of hepatocellular carcinoma (HCC) in cellular level is not clear.

methodsIntegration analysis of single-cell RNA sequencing data and spatial transcriptomics data was performed. Multiple methods were applied to investigate the subtype of HCC tumor cells. The functional characteristics, translation factors, clinical implications and microenvironment associations of different subtypes of tumor cells were analyzed. The interaction of subtype and fibroblasts were analyzed.

resultsWe established a heterogeneity landscape of HCC malignant cells by integrated 52 single-cell RNA sequencing data and 5 spatial transcriptomics data. We identified three subtypes in tumor cells, including ARG1

conclusionBy establishing a heterogeneity landscape of malignant cells, we identified a three-subtype classification in HCC. Among them, S100A6

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsSingle-Cell AnalysisTumor MicroenvironmentAnimalsBiomarkers, TumorCell Line, TumorComputational BiologyEpithelial-Mesenchymal TransitionFibroblastsGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansMiceNeoplasm MetastasisBiomarkers, TumorFibroblastsHepatocellular carcinomaMetastasisSingle-cellTumor heterogeneity

Identifiers

PMID39095854
PMCPMC11295380

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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.