Integration of osimertinib-targeted EGFR gene-associated differential gene expression in constructing a prognostic model for lung adenocarcinoma
Haiwen Li, Li Yang, Quan Yang, Zhu Liang, Wenmei Su, Lili Yu · 2024
Read Integration of osimertinib-targeted EGFR gene-associated differential gene expression in constructing a prognostic model for lung adenocarcinoma by Haiwen Li, Li Yang, Quan Yang, Zhu Liang, Wenmei Su, Lili Yu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11634928.txt.
Description
Haiwen Li and co-authors build a model to forecast outcomes in lung adenocarcinoma, a deadly lung cancer, in a 2024 study. A class of drugs that block a growth signal is a main care option for this cancer. Many patients, though, gain resistance to those drugs over time. The team look for gene signs tied both to that growth signal and to resistance to one key drug.
Data sets are pulled from public sources. Genes that differ between groups are screened, and outcome modules are built with survival models. Enrichment, network, and immune checks explore how the genes may act. The key genes are then tested in eight tumor samples and five cell lines in the lab. The work aims at signs to guide care.
Catalog record
| CREATOR | Haiwen Li, Li Yang, Quan Yang, Zhu Liang, Wenmei Su, Lili Yu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |