Palmitoylation-related gene signature for immune subtyping, prognostic stratification, and immunotherapy guidance in hepatocellular carcinoma
Xiang Gao, Fangzhou Wang, Yuanxu Qu, Yingao Liu, Yamin Zheng · 2026
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Description
Xiang Gao and colleagues build, in a 2026 gene study, a prediction model for liver cancer based on genes tied to palmitoylation, a chemical tag that anchors proteins to cell membranes. The tag helps control cancer growth, yet its liver cancer role was unexplored. The team used two cohorts, one of 377 patients from a United States program and one of 231 from an international consortium. They sought tag-related genes that differ in tumors and matter for survival.
Twenty genes were changed, and eight tied to overall survival. A model using three genes, ZDHHC18, ZDHHC23, and PPT1, split patients into high-risk and low-risk groups. Sorting accuracy was fair in the building cohort and better in the checking cohort. The risk groups also differed in immune pathway activity inside tumors. The authors argue the model can sort patients by risk, guide immunotherapy choices, and name three genes as possible targets.
Catalog record
| CREATOR | Xiang Gao, Fangzhou Wang, Yuanxu Qu, Yingao Liu, Yamin Zheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |