Predicting immunotherapy response in melanoma using a novel tumor immunological phenotype-related gene index

Predicting immunotherapy response in melanoma using a novel tumor immunological phenotype-related gene index

IntroductionMelanoma is a highly aggressive and recurrent form of skin cancer, posing challenges in prognosis and therapy prediction.MethodsIn this study, we developed a novel TIPRGPI consisting of 20 genes using Univariate Cox regression and the LASSO algorithm. The high and low-risk groups based o...

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Bibliographic Details
Main Authors: Shaoluan Zheng, Anqi He, Chenxi Chen, Jianying Gu, Chuanyuan Wei, Zhiwei Chen, Jiaqi Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Immunology
Subjects:
melanoma
bioinformatics
prognosis
immunotherapy response
tumor microenvironment
molecular docking
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1343425/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1343425/full

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