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Dataset Information

Construction of hot tumor classification models in gastrointestinal cancers.


ABSTRACT:

Background

Gastrointestinal (GI) cancers account for more than one-third of cancer-related mortality, and the prognosis for late-stage patients remains poor. Immunotherapy has been proven to extend the survival of patients at advanced stages; however, challenges persist in patient selection and overcoming drug resistance. Tumor-infiltrating lymphocytes (TILs) and tertiary lymphoid structures (TLS) in the tumor microenvironment (TME) have been found to be associated with anti-tumor immune responses. 'Hot tumors' with high levels of infiltration tend to respond better to immune checkpoint inhibitor (ICI) therapy, making them potential biomarkers for ICI treatment.

Methods

To explore potential biomarkers for predicting immunotherapy response and prognosis in GI cancers, we down

SUBMITTER: Huang CJ 

PROVIDER: S-EPMC11846462 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature