Machine learning-based risk model incorporating tumor immune and stromal contexture predicts cancer prognosis and immunotherapy efficacy

The immune and stromal contexture within the tumor microenvironment (TME) interact with cancer cells and jointly determine disease process and therapeutic response. We aimed at developing a risk scoring model based on TME-related genes of squamous cell lung cancer to predict patient prognosis and im...

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Detalles Bibliográficos
Autores principales: He, Li-Na, Li, Haifeng, Du, Wei, Fu, Sha, luo, Linfeng, Chen, Tao, Zhang, Xuanye, Chen, Chen, Jiang, Yongluo, Wang, Yixing, Wang, Yuhong, Yu, Hui, Zhou, Yixin, Lin, Zuan, Zhao, Yuanyuan, Huang, Yan, Zhao, Hongyun, Fang, Wenfeng, Yang, Yunpeng, Zhang, Li, Hong, Shaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320202/
https://www.ncbi.nlm.nih.gov/pubmed/37416452
http://dx.doi.org/10.1016/j.isci.2023.107058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320202/
https://www.ncbi.nlm.nih.gov/pubmed/37416452
http://dx.doi.org/10.1016/j.isci.2023.107058

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