Integrating Functional Genomic Screens and Multi-Omics Data to Construct a Prognostic Model for Lung Adenocarcinoma and Validating SPC25
Yang Zhang, Huijun Tan, Depeng Jiang · 2025
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Description
Yang Zhang, Huijun Tan, and Depeng Jiang build a prognosis model for a common lung cancer in a 2025 paper. The cancer varies widely between patients and treatments often fall short, so sound markers are needed. The team start from gene screens that show which genes cancer cells need to grow, then join those genes with patient data.
Their seven gene score split patients into high and low risk groups in both training and outside data sets. High scores tracked with later stage and a suppressive immune setting. One core gene was tested in the lab: silencing it slowed cancer cell growth in dishes and in mice. The authors name it a promising drug target.
Catalog record
| CREATOR | Yang Zhang, Huijun Tan, Depeng Jiang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |