Unknown

Dataset Information

Identification and validation of SLCO4C1 as a biological marker in hepatocellular carcinoma based on anoikis classification features.


ABSTRACT:

Background

Hepatocellular carcinoma (HCC) exhibits a high degree of invasiveness and is closely associated with rapid disease progression. Multiple lines of evidence indicate a strong correlation between anoikis resistance and tumor progression, invasion, and metastasis. Nevertheless, the classification of anoikis in HCC and the investigation of novel biological target mechanisms in this context continue to pose challenges, requiring further exploration.

Methods

Combined with HCC samples from TCGA, GEO and ICGC databases, cluster analysis was conducted on anoikis genes, revealing novel patterns among different subtypes. Significant gene analysis of different gene subtypes was performed using WCGNA. The anoikis prognostic risk model was established by Lasso-Cox. Go, KEGG, and

SUBMITTER: Wang T 

PROVIDER: S-EPMC10866452 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature