Research Paper Volume 15, Issue 7 pp 2541—2553

Identification and validation of anoikis-associated gene SNCG as a prognostic biomarker in gastric cancer

Yi Li1, , Qin Pan2, , Mingxia Cheng2, , Zhengyuan Wu3, ,

  • 1 Department of Operating Room, The First People’s Hospital of Linping District, Hangzhou, Zhejiang 311199, China
  • 2 Department of Anesthesiology, The First People’s Hospital of Linping District, Hangzhou, Zhejiang 311199, China
  • 3 Department of Hand Plastic Surgery, The First People’s Hospital of Linping District, Hangzhou, Zhejiang 311199, China

Received: December 27, 2022       Accepted: March 20, 2023       Published: March 30, 2023
How to Cite

Copyright: © 2023 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


As a type of cell apoptosis, anoikis is caused by cells detachment from the extracellular matrix and anoikis resistance is central to cancer metastasis. Here, SNCG was identified as hub anoikis-associated gene in GC and associated with prognosis of patients with GC. To screen the hub anoikis-associated genes connected to GC, the database of Cancer Genome Atlas (TCGA) was employed. For further validating these identified genes, the Gene Expression Omnibus (GEO) dataset was applied, and Western blotting and quantitative Real-Time PCR were carried out. To Identify hub genes, we conducted the analyses of univariate Cox regression, differential expression, and weighted gene co-expression network analysis (WGCNA). According to the identified hub genes, we constructed a model of prognosis. Following complex analysis, SNCG was finally identified as hub anoikis-associated gene in GC. Indeed, K-M and receiver operating characteristic analyses suggested that the expression patterns of SNCG can be used as prognostic factors for GC survival. The expression and survival trends of SNCG were verified in the validation cohort and in vitro experimental analyses. The analysis of immune cell infiltration showed that the infiltrated immune cells varied among patients with GC and gene SNCG. Furthermore, due to the significant association of the constructed risk signature with patient age and survival, this risk signature can be used to predict the prognosis of GC. We suggest that SNCG was served as hub anoikis-associated gene in GC. Meanwhile, SNCG may have prognostic potential for overall patient survival.


GC: gastric cancer; OS: overall survival; ECM: extracellular matrix; WGCNA: weighted gene co-expression network analysis; TCGA: The Cancer Genome Atlas; GEO: Gene Expression Omnibus; AG: anoikis-associated gene; FC: fold change; TOM: topological overlap matrix; MEs: Module eigengenes; GS: gene significance; ROC: receiver operating characteristic; GSEA: Gene set enrichment analysis; GSVA: gene set variation analysis; AUC: area under the ROC curve.