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Dataset Information

Development and validation of a combined metabolism and immune prognostic model in lung adenocarcinoma.


ABSTRACT:

Background

Tumor metabolism and immune response can affect the biological behavior of tumor cells. There is an obvious relationship between glycolysis and immune response. However, the association between metabolism and immune response and prognosis in lung adenocarcinoma (LUAD) has not yet been examined in a comprehensive and detailed manner. The establishment of reliable models for predicting the prognosis of LUAD based on glycolysis ability and immune status is still highly anticipated.

Methods

The expression of genes were obtained from online databases, and the differentially expressed genes in LUAD tissues and adjacent tissues were identified. We used LUAD samples in The Cancer Genome Atlas (TCGA) database as training set and the Gene Expression Omnibus (GEO) databases

SUBMITTER: Shi Y 

PROVIDER: S-EPMC9840026 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature