Comprehensive multi-omics analysis identifies cancer subtypes and prognostic signatures of hepatitis B virus-associated hepatocellular carcinoma
Rui Wang, Bo Ren, Xijie Zhang, Bo Liu, Wence Zhou · 2026
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Description
Rui Wang and co-authors used multi-omics data to classify liver cancer linked to hepatitis B in a 2026 study. This cancer varies widely between patients and often has a poor outlook. Finer grouping could point to better treatment choices.
Working from a large cancer atlas cohort, they found two subtypes. One had a better outlook and an immune rich tumor setting, while the other looked more aggressive with a quiet immune setting. They built a machine learning risk score from many model combinations, and it beat ten earlier scores. A drug search flagged a compound that killed high risk cancer cells in lab tests and shrank tumors in mice. They also report a gene that may suppress tumors through a known growth pathway.
Catalog record
| CREATOR | Rui Wang, Bo Ren, Xijie Zhang, Bo Liu, Wence Zhou |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |