Method: We implemented a novel bioinformatics framework using patient data from the TARGET database and performed a comparative transcriptome analysis of PID-related genes in pediatric cancers between normal and cancer tissues, gene ontology enrichment, and protein–protein interaction analyses, and determined the prognostic impacts of commonly mutated and differentially expressed PID-related genes. This evidence concerns the gene MTA2 and pelvic inflammatory disease.