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Dataset Information

Anoikis regulator GLI2 promotes NC cell immunity escape by TGF-β-mediated non-classic hedgehog signaling in colorectal cancer: based on artificial intelligence and big data analysis.


ABSTRACT:

Background

Anoikis is a speed-limited procedure to inhibit tumor metastasis during epithelial-mesenchymal transition (EMT). Previous studies have explored anoikis-related genes (ARG) in predicting prognosis and distinguishing tumoral immunity in many types of cancer. However, the role of ARGs in regulating NK cell exhaustion (NKE) and in predicting chemotherapy sensitivity is not clear. Therefore, it is necessary to work on it.

Methods

Gene expression profiles and clinical features are collected from TCGA and GEO, and data analysis is performed in R4.2.0.

Results

The ARGs-based no-supervised learning algorithm identifies three ARG subgroups, amongst which the prognosis is different. WCGNA and Artificial intelligence (AI) are applied to construct an NKE-related drug se

SUBMITTER: Shanshan Z 

PROVIDER: S-EPMC10781491 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature