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.
Authors
- Guo Chen (ORCID: https://orcid.org/0000-0001-8886-1873)
- Gao Li
Institutions
- Guiyang College of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
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