Integrative single-cell transcriptomic and multi-dimensional bioinformatic analysis reveals proliferation-associated gene expression signatures and cellular heterogeneity in hepatocellular carcinoma

This integrative multi-scale analysis reveals complex proliferation-associated gene expression patterns and substantial cellular heterogeneity within hepatocellular carcinoma. STMN1 and RRM2 emerge as dominant markers of proliferative reprogramming and promising candidate therapeutic targets warranting further functional investigation in HCC progression.

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Publication Details

Journal
Discover Oncology
Published
2026-02-14
DOI
https://doi.org/10.1007/s12672-026-04660-7
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrative single-cell transcriptomic and multi-dimensional bioinformatic analysis reveals proliferation-associated gene expression signatures and cellular heterogeneity in hepatocellular carcinoma

Guo Chen, Gao Li
Discover Oncology
Single-cell and spatial transcriptomics
article

Integrative single-cell transcriptomic and multi-dimensional bioinformatic analysis reveals proliferation-associated gene expression signatures and cellular heterogeneity in hepatocellular carcinoma

Guo Chen, Gao Li
article en

Abstract

This integrative multi-scale analysis reveals complex proliferation-associated gene expression patterns and substantial cellular heterogeneity within hepatocellular carcinoma. STMN1 and RRM2 emerge as dominant markers of proliferative reprogramming and promising candidate therapeutic targets warranting further functional investigation in HCC progression.

Discover OncologyVol. 17(1)
Guiyang College of Traditional Chinese Medicine (CN), Affiliated Hospital of Guizhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 56%
Single-cell and spatial transcriptomics
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