A glutamine metabolish-associated prognostic model to predict prognosis and therapeutic responses of hepatocellular carcinoma
Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai · 2024
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Description
Hao Xu and a team of co-authors build a prediction model for liver cancer based on genes tied to glutamine use, in two thousand twenty-four. Liver cancer is among the deadliest cancers, and tools for forecasting a patient's course remain unreliable. The team drew gene and outcome data from large cancer databases.
Their model rests on four genes, picked by a shrinking regression method. It separated patients by risk with reliable accuracy in several data sets. High-risk patients may respond better to immune therapy, the analysis suggested. All four genes were more active in tumor samples than in normal tissue. Silencing one of them slowed liver cancer cells, marking it as a possible drug target.
Catalog record
| CREATOR | Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |