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Updated: Nov 19, 2025

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Published on: April 18, 2025
Clonal evolution in liver cancer at single-cell and single-variant resolution
Xianbin Su1, Linan Zhao2, Yi Shi3
1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China. xbsu@sjtu.edu.cn.
This study maps liver cancer evolution at single-cell resolution, revealing early genetic events and distinct evolutionary paths in primary tumors and metastases. Understanding this genetic diversity is key to improving cancer treatment.
Area of Science:
- Oncology
- Genomics
- Cancer Biology
Background:
- Tumor genetic heterogeneity significantly impacts liver cancer progression, influencing phenotypic diversity and treatment resistance.
- Previous characterization of this heterogeneity in liver cancer was limited to the sub-chromosomal scale.
- Understanding clonal evolution at a finer resolution is crucial for deciphering liver cancer complexity.
Discussion:
- This research reconstructs the clonal evolution of human liver cancer with single-variant resolution using single-cell mutational profiles.
- Key genetic events driving tumorigenesis were identified as occurring early in the cancer's development.
- Distinct evolutionary trajectories were observed between primary liver tumors and their intrahepatic metastases.
Key Insights:
- The study establishes a novel method for reconstructing single-cell, single-variant clonal evolution in liver cancer.
- Early metastasis followed by independent evolution in primary and metastatic sites was a significant finding.
- Transcriptomic phenotypes of hepatocellular carcinoma (HCC) were found to correlate with underlying genetic heterogeneity.
Outlook:
- Dissecting both genetic and phenotypic heterogeneity provides a comprehensive view of liver cancer development.
- This detailed understanding can pave the way for more targeted and effective liver cancer therapies.
- Further research can explore the functional implications of identified genetic events and phenotypic variations.
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