Cervical, endometrial, and breast cancers are common diseases studied in the field of gynecology. We conducted a series of bioinformatics analyses on these different gynecological cancers. After downloading mRNA microarray data on these gynecological cancers from the TCGA database,
we applied a differential analysis. We combined the differential genes obtained from each disease sample and obtained 2,353 public differential genes (P <0.01). Through a weighted gene co-expression network analysis, we obtained five functional disorder modules, and found the essential
genes to be LHFP, DNAJC27, GIMAP4, MCM6, and AIM1L. The analysis results showed that dysfunctional genes are associated with ameoidal-type cell migration and DNA replication. We predicted the regulator using cpRNA and a pivot analysis of the transcription factors. Studies have shown that miR-21-5p
and miR-300 regulate three modules, MSC regulates m3 and m5, and YBX1 regulates m4 and m5. All are involved in the regulation of m5, and the co-regulated core gene of m5 is MCM6. We believe that MCM6 has a central regulatory role in a disease network and that MCM6 can be considered as a core
biomarker for gynecological pan-cancer.