Machine learning-identified stemness features and constructed stemness-related subtype with prognosis, chemotherapy, and immunotherapy responses for non-small cell lung cancer patients

AIM: This study aimed to explore a novel subtype classification method based on the stemness characteristics of patients with non-small cell lung cancer (NSCLC). METHODS: Based on the Cancer Genome Atlas database to calculate the stemness index (mRNAsi) of NSCLC patients, an unsupervised consensus c...

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Detalles Bibliográficos
Autores principales: Liu, Mingshan, Zhou, Ruihao, Zou, Wei, Yang, Zhuofan, Li, Quanjin, Chen, Zhiguo, jiang, Lei, Zhang, Jingtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483786/
https://www.ncbi.nlm.nih.gov/pubmed/37674202
http://dx.doi.org/10.1186/s13287-023-03406-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483786/
https://www.ncbi.nlm.nih.gov/pubmed/37674202
http://dx.doi.org/10.1186/s13287-023-03406-4

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