WGCNA and LASSO Cox identify ACKR1 DAAM2 and PDE2A as prognostic genes and immune related biomarkers in cervical squamous cell carcinoma and endocervical adenocarcinoma

Background CESC is a malignant tumor that seriously threatens women's health, and the prognosis of patients is poor, and there is an urgent clinical need to find molecular markers for the prognosis of CESC. Bioinformatics was used to screen molecular markers related to CESC prognosis to provide a basis for prognosis prediction of CESC. Methods Transcriptomic expression data of CESC and corresponding clinical data were downloaded from GEO and TCGA databases. CESC pivot genes were screened by WGCNA and LASSO-COX, and prognostic hub genes were verified using GEPIA. And to explore the correlation of prognostic pivot genes with immune cell infiltration and immune checkpoint gene expression.And compare the expression of prognosis-related genes in CESC and normal cervical tissues in the GEO dataset, TCGA combined with GTEx and HPA datasets. Results Through WGCNA analysis, we constructed a module based on gene synergy. The Darkgreen module was significantly negatively correlated with the CESC. GO analysis shows that most of the genes in the module are related to cell junction, and motility, etc. KEGG analysis showed that the genes in the light green module are more involved in CAMs and Proteoglycans in cancer, et al pathway.The prognostic model composed of three genes, namely: ACKR1, DAAM2 and PDE2A, and found a significant correlation between core prognosis model gene expression and immune infiltration and immune checkpoint genes, which provided guidance for the prognosis and immunotherapy of CESC. Conclusions The prognostic model consisting of three genes, ACKR1, DAAM2 and PDE2A, may be a prognostic and immunotherapy-related molecular marker for CESC.