Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer
Abstract Background Non-small cell lung cancer (NSCLC) represents one of the most prevalent forms of lung cancer, with a five-year survival rate of 21.7%. There is an urgent need to identify pertinent biomarkers to inform the diagnosis and prognosis of tumors, particularly those that can be applied...
| Hauptverfasser: | , , , , , , , , |
|---|---|
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Springer
2024-12-01
|
| Schriftenreihe: | Discover Oncology |
| Schlagworte: | |
| Online Zugang: | https://doi.org/10.1007/s12672-024-01670-1 |