ArticleClinical and experimental medicine2026
Prognostic significance and immune landscape of anoikis-related genes in hepatocellular carcinoma: a multi-omics analysis of subtypes and cellular communication.
Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Hepatocellular carcinoma (HCC) is a cancer with poor prognosis and high mortality, necessitating the development of various biomarkers to meet clinical treatment needs. Anoikis, a form of programmed cell death, has been shown to be closely related to processes such as cancer proliferation and invasion. However, the role of differentially expressed anoikis-related genes (DEANRGs) in HCC and its control samples remains unclear. Therefore, this study utilized various bioinformatics analysis methods to identify 12 prognostic DEANRGs and constructed a prognostic model for HCC using these genes. This paper thoroughly explores the impact of high- and low-risk groups on participating signaling pathways and the immune infiltration landscape. Subsequently, two reliable HCC subtypes were identified based on the expression levels of DEANRGs. Incorporating scRNA-seq data, cell scores for different cell types were obtained based on the expression levels of DEANRGs using the AUCell algorithm. Finally, several communication pathways between the top-scoring hepatocyte populations and other cell groups were identified. Furthermore, the expression levels of key genes were validated in HCC cell lines (HepG2 and LO2) using qRT-PCR and Western blot. The prognostic DEANRGs obtained in this study can provide references for the treatment and prognostic evaluation of HCC.
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