Identification of MMP1 as a Potential Prognostic Biomarker and Correlating with Immune Infiltrates in Cervical Squamous Cell Carcinoma
Cervical squamous cell carcinoma (CESC) is a human papillomavirus-driven tumor that the underlying molecular mechanisms are unclear. This study aimed to elucidate the key candidate genes and potential mechanism in CESC by bioinformatics analysis. A total of 132 common differentially expressed genes (DEGs) were identified based on three expression profile data sets. A multivariate Cox proportional regression model was used to develop a four-gene prognostic signature. Mechanistically, the correlationship between MMP1 and tumor-infiltrating lymphocytes was further analyzed. Furthermore, annotations were investigated by Gene Ontology (GO) and The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Finally, potential drugs for CESC treatment were predicted by Connectivity Map. We profiled four genes (