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ABSTRACT: Background
The tumor microenvironment (TME) is crucial for tumor recurrence, prognosis, and therapeutic responses. We comprehensively investigated the TME characterization associated with relapse and survival outcomes of gastric cancer (GC) to predict chemotherapy and immunotherapy response.Methods
A total of 2,456 GC patients with complete gene-expression data and clinical annotations from twelve cohorts were included. The TME characteristics were evaluated using three proposed computational algorithms. We then developed a TME-classifier, a TME-cluster, and a TME-based risk score for the assessment of tumor recurrence and prognosis in patients with GC to predict chemotherapy and immunotherapy response.Results
Patients with tumor recurrence presented with inactive i
SUBMITTER: Chen Y
PROVIDER: S-EPMC9101297 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature