Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer
In our analysis of the NSCLC database, we pinpointed the CAT gene, which holds promise for potential diagnostic and prognostic applications in the context of human aging. Furthermore, it may offer insights into addressing age-related heterogeneity of NSCLC.
Authors
- Yiting Deng (ORCID: https://orcid.org/0000-0002-4316-1440)
- Dian-na Gu (ORCID: https://orcid.org/0000-0002-2324-9920)
- Yiru Liu (ORCID: https://orcid.org/0000-0002-8162-5082)
- Wen-Ya Zhao (ORCID: https://orcid.org/0009-0005-2999-5616)
- Qiao-xin Lin
- Ling Tian
- Yi Tian
- Wen-Wen Song
- Yan-Na Gong
Institutions
- Shanghai Jiao Tong University (CN)
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Shanghai Chest Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1007/s12672-024-01670-1
- Citations
- 5
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- National Natural Science Foundation of China