Integration of single-cell sequencing and drug sensitivity profiling reveals an 11-gene prognostic model for liver cancer
We established an 11-gene prognostic model that effectively stratifies liver cancer patients based on differentially expressed genes between tumor and adjacent non-tumor cells clustered by scRNA-seq data. The two risk groups had significantly different molecular characteristics. We identified 14 drugs that might be effective for high-risk HCC patients. Our study provides novel insights into tumor cell characteristics, aiding in research on tumor development and treatment.
Authors
- Jiaxin Bei (ORCID: https://orcid.org/0000-0003-4108-3749)
- Xiuzhen Chen (ORCID: https://orcid.org/0000-0001-5769-7660)
- Jing Meng (ORCID: https://orcid.org/0000-0001-5203-5860)
- Wei Liang (ORCID: https://orcid.org/0000-0002-5074-1363)
- Ming-Yu Liu (ORCID: https://orcid.org/0000-0002-2239-8975)
- Jingqiang Wu
- Qunfang Zhou (ORCID: https://orcid.org/0000-0002-2533-3851)
- Z H Zhai
Institutions
- Sun Yat-sen University (CN)
- Jinan University (CN)
- Chinese PLA General Hospital (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- The First People's Hospital of Shunde (CN)
- First People's Hospital of Foshan (CN)
- First Affiliated Hospital of Guangdong Pharmaceutical University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
- Guangzhou Chest Hospital (CN)
- First Affiliated Hospital of Jinan University (CN)
- The Affiliated Shunde Hospital of Jinan University
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Human Genomics
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1186/s40246-024-00698-2
- Citations
- 2
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.47