ArticleBioscience reports2022
Single-cell transcriptomics analysis reveals intratumoral heterogeneity and identifies a gene signature associated with prognosis of hepatocellular carcinoma.
Article in Bioscience reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Single cell analysis and bioinformatics reveal pyroptosis mechanisms in hepatocellular carcinoma.Discover oncology · 2025Article
- Multi-omics analyses develop and validate the optimal prognostic model on overall survival prediction for resectable hepatocellular carcinoma.Journal of gastrointestinal oncology · 2025Article
- T cell characteristics in individuals with different immune responses after hepatitis B vaccination.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
- Single-cell RNA sequencing reveals the landscape of the cellular ecosystem of primary hepatocellular carcinoma.Cancer cell international · 2024Review
- Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.Translational andrology and urology · 2024Article
- Single-Cell RNA Sequencing Revealed That the Enrichment of TPI1Journal of hepatocellular carcinoma · 2024Article
- Integration of single-cell and bulk RNA-sequencing to analyze the heterogeneity of hepatocellular carcinoma and establish a prognostic model.Cancer reports (Hoboken, N.J.) · 2024Article
- Single-cell RNA sequencing reveals cell subpopulations in the tumor microenvironment contributing to hepatocellular carcinoma.Frontiers in cell and developmental biology · 2023Article
- Cancer Stem Cells in Hepatocellular Carcinoma: Intrinsic and Extrinsic Molecular Mechanisms in Stemness Regulation.International journal of molecular sciences · 2022Review
- Single-Cell Transcriptomic Analysis Reveals Macrophage-Tumor Crosstalk in Hepatocellular Carcinoma.Frontiers in immunology · 2022Article
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Authors and funding
5 authors.
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Abstract
Hepatocellular carcinoma (HCC) tumors exhibit high heterogeneity. However, current understanding of tumor cell heterogeneity of HCC and the association with prognosis remains very limited. In the present study, we collected and examined tumor tissue from one HCC patient by single-cell RNA sequencing (scRNA-seq). We identified 5753 cells and 16 clusters including hepatocytes/cancer cells, T cells, macrophages, endothelial cells, fibroblasts, NK cells, neutrophils, and B cells. In six tumor cell subclusters, we identified a cluster of proliferative tumor cells associated with poor prognosis. We downloaded scRNA-seq data of GSE125449 from the NCBI-GEO as validation dataset, and found that a cluster of hepatocytes exhibited high proliferation activity in HCC. Furthermore, we identified a gene signature related to the proliferation of HCC cells. This gene signature is efficient to classify HCC patients into two groups with distinct prognosis in both TCGA and ICGC database cohorts. Our results reveal the intratumoral heterogeneity of HCC at single cell level and identify a gene signature associated with HCC prognosis.
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