A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers.
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ABSTRACT: Background: The tumor-associated endothelial cell (TAE) component plays a vital role in tumor immunity. However, systematic tumor-associated endothelial-related gene assessment models for predicting cancer immunotherapy (CIT) responses and survival across human cancers have not been explored. Herein, we investigated a TAE gene risk model to predict CIT responses and patient survival in a pan-cancer analysis. Methods: We analyzed publicly available datasets of tumor samples with gene expression and clinical information, including gastric cancer, metastatic urothelial cancer, metastatic melanoma, non-small cell lung cancer, primary bladder cancer, and renal cell carcinoma. We further established a binary classification model to predict CIT responses using the least absolute shr
SUBMITTER: Chen S
PROVIDER: S-EPMC10500301 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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