The prognostic analysis and a machine-learning based disease-specific survival state model in pulmonary large-cell neuroendocrine carcinomas
Male, age ≥65 years, distant metastasis to the bone, liver, and brain are associated with a worse prognosis in PLCNEC patients, while surgery and chemotherapy are associated with improved prognosis. GBDT showed promising performance in predicting 2-year survival, which can serve as a valuable reference for clinical diagnosis and treatment of PLCNEC.
Authors
- Yanbin Zhou (ORCID: https://orcid.org/0000-0002-0099-4258)
- Ziying Lin (ORCID: https://orcid.org/0000-0002-9789-8528)
- Xiongye Xu
- Baomo Liu (ORCID: https://orcid.org/0000-0001-8611-4030)
- Peixin Dong (ORCID: https://orcid.org/0009-0003-1125-4903)
- Jiating Deng
- Shuaishuai Wang (ORCID: https://orcid.org/0000-0002-7672-9848)
- Yan Su (ORCID: https://orcid.org/0000-0003-4458-5541)
- Shaoli Li (ORCID: https://orcid.org/0000-0002-3513-2359)
- Jincui Gu (ORCID: https://orcid.org/0000-0002-3784-5440)
- Lixia Huang
Institutions
- Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-08-01
- DOI
- https://doi.org/10.21037/jtd-23-1927
- Citations
- 1
- Primary Topic
- Lung Cancer Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.28
Funders
- Natural Science Foundation of Guangdong Province