Objective To explore the expression and significance of key out of anoikis genes in breast cancer by bioinformatics methods,and to stage their expression in breast cancer prognosis. Methods Three negative breast cancer microarray data (GSE113865) was downloaded from GEO database,and R language lima data package was used for difference analysis,and it was intersected with the out of nest apoptosis gene in MSigDB database. Perform GO and KEGG enrichment analysis in the DAVID database. Cytoscape software obtains core modules and genes. The key genes were screened by LASSO regression analysis,and their expression and impact on the prognosis of breast cancer patients were verified in Kaplan Meier plotter and GEPIA databases. Results A total of 40 out of anoikis genes were obtained from breast cancer. These genes were mainly enriched in the positive regulation of cell population proliferation,the negative regulation of protein binding in apoptosis,cancer pathway,PI3K Akt signal pathway and other signal pathways. Eight core out of anoikis genes (EZH2,PBK,CAV1,CXCL12,PLAUR,PTGS2,LAMB3 and LAMC2) were obtained through LASSO regression analysis. Six out of nest apoptotic genes (EZH2,PBK,PLAUR,CAV1,CXCL12 and LAMC2) were associated with the prognosis of breast cancer patients.
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