Identification of Anoikis‐Related Genes in Gastric Cancer: Bioinformatics and Experimental Validation DOI Creative Commons

Chao Song,

Wenbo Liu,

Xiaoyu Wang

et al.

Cancer Medicine, Journal Year: 2025, Volume and Issue: 14(8)

Published: April 1, 2025

ABSTRACT Introduction Distant metastasis is the main reason for poor prognosis of gastric cancer, and anoikis refers to cell death caused when cells detach from extracellular matrix or adhere in incorrect locations, playing an important role distant cancer. Methods Download TCGA‐STAD dataset gene set, filter out differentially expressed genes. Perform consensus clustering cancer samples, conduct Weighted Gene Correlation Network Analysis (WGCNA), enrichment analysis, immune infiltration analysis expression characteristics each subtype, while also filtering genes with differential between subtypes. Additionally, through COX survival identify related establish a nomogram. Finally, validate CYP1B1 vivo vitro clinical culture, establishment model. Results Three subtypes were identified, exhibiting different characteristics, biological pathways, infiltration. The abundance activated NK cells, memory B M2 macrophages showed significant differences among three We screened four sets five (CYP1B1, EQTN, NRXN2, TBC1D3E, TCEAL5) Through we identified 33 independent prognostic constructed nomogram, calibration curves indicating good consistency. selected experimental validation, experiments demonstrated that highly participates resistance promotes invasion, migration, tumor progression cells. Conclusion patterns based on vary, providing theoretical support future personalized treatment

Language: Английский

Identification of Anoikis‐Related Genes in Gastric Cancer: Bioinformatics and Experimental Validation DOI Creative Commons

Chao Song,

Wenbo Liu,

Xiaoyu Wang

et al.

Cancer Medicine, Journal Year: 2025, Volume and Issue: 14(8)

Published: April 1, 2025

ABSTRACT Introduction Distant metastasis is the main reason for poor prognosis of gastric cancer, and anoikis refers to cell death caused when cells detach from extracellular matrix or adhere in incorrect locations, playing an important role distant cancer. Methods Download TCGA‐STAD dataset gene set, filter out differentially expressed genes. Perform consensus clustering cancer samples, conduct Weighted Gene Correlation Network Analysis (WGCNA), enrichment analysis, immune infiltration analysis expression characteristics each subtype, while also filtering genes with differential between subtypes. Additionally, through COX survival identify related establish a nomogram. Finally, validate CYP1B1 vivo vitro clinical culture, establishment model. Results Three subtypes were identified, exhibiting different characteristics, biological pathways, infiltration. The abundance activated NK cells, memory B M2 macrophages showed significant differences among three We screened four sets five (CYP1B1, EQTN, NRXN2, TBC1D3E, TCEAL5) Through we identified 33 independent prognostic constructed nomogram, calibration curves indicating good consistency. selected experimental validation, experiments demonstrated that highly participates resistance promotes invasion, migration, tumor progression cells. Conclusion patterns based on vary, providing theoretical support future personalized treatment

Language: Английский

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