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

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

Abstract 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 cons...

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Bibliographic Details
Main Authors: Mingshan Liu, Ruihao Zhou, Wei Zou, Zhuofan Yang, Quanjin Li, Zhiguo Chen, Lei jiang, Jingtao Zhang
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Stem Cell Research & Therapy
Subjects:
Non-small cell lung cancer
Cancer stem cell
Stemness index
Consensus clustering
Immunotherapy
Machine learning
Online Access:https://doi.org/10.1186/s13287-023-03406-4

Internet

https://doi.org/10.1186/s13287-023-03406-4

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