Evidence map›Paper›PMID 39503880›Full record

ArticleJournal of cancer research and clinical oncology2024

Integration of single-cell and spatial transcriptome sequencing identifies CDKN2A as a senescent biomarker in endothelial cells implicating hepatocellular carcinoma malignancy.

Yue Ma, Chenhe Yi, Ning Cai, Jinhong Chen

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yue Ma *Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, 200040, P.R. China.
Chenhe Yi *Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, 200040, P.R. China.
Ning Cai *Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
Jinhong ChenHepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, 200040, P.R. China. jinhongch@hotmail.com.ORCID https://orcid.org/0000-0003-0952-9990

Funding

National Natural Science Foundation of China 82272836Program of Shanghai Academic Research Leader 22XD1400300
6 · The paper itself

Abstract

purposeHighly complex tumor microenvironment makes hepatocellular carcinoma (HCC) as one of the most malignant tumors worldwide. The role of cellular senescence in HCC has been gradually recognized. The present study aimed to comprehensively elucidate the senescence-related features of HCC in single-cell and spatial dimension.

methodsSingle-cell RNA sequencing (scRNA-Seq) data was used to clarify the heterogeneity of senescence-related genes (SRGs) among multiple cell types within HCC. Spatial transcriptome RNA sequencing (stRNA-Seq) data was used for depicting SRGs features in spatial dimension. A prognostic model based on SRGs was constructed by using of bulk sequencing (bulk-Seq) data of HCC. The cell-cell interaction of senescent endothelial cells (ECs) in tumor microenvironment was analyzed. Then, the role of senescent ECs was verified through in vitro and in vivo experiments.

resultsThe level of senescence demonstrated substantial heterogeneity among different cell types within tumor microenvironment of HCC, where ECs exhibited the most prominent senescent phenotype. Senescent ECs activated specific regulatory pathways through communicating with other cell types, with a potential impact on tumor progression. Spatial analysis revealed senescent ECs mainly located in the core region of HCC. The interaction of senescent ECs and immune cells implicated their role in tumor progression and immunotherapeutic response. In addition, CDKN2A was identified as an independent risk factor for HCC prognosis by constructing a prognostic model. Patients with high risk displayed an even worse outcome. The experimental verification indicated senescence of ECs determined by CDKN2A exhibited a secretory phenotype. Furthermore, senescent ECs with CDKN2A overexpression promote the proliferation and migration of HCC.

conclusionThe present study recognizes the critical effect of senescent ECs defined by CDKN2A in the promotion of tumor progression, which sheds new light on the investigation of ECs senescence in HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCellular SenescenceCyclin-Dependent Kinase Inhibitor p16Endothelial CellsLiver NeoplasmsSingle-Cell AnalysisTumor MicroenvironmentAnimalsCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceMice, NudePrognosisBiomarkers, TumorCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16CDKN2AEndothelial cellsHepatocellular carcinomaSenescence

Identifiers

PMID39503880
PMCPMC11541268

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