Background: The inhibitor of DNA binding or differentiation (ID) protein family contributes to the carcinogenesis and progression of various cancers. However, its mechanistic role in tumor initiation and progression of ovarian cancer (OC) has remained unclear. Methods: We used the Oncomine, GEPIA, Kaplan-Meier plotter, cBioPortal, SurvExpress, PROGgene V2 server, TIMERdatabase, and FunRich to evaluate the expression and predictive prognostic value of individual IDs members’ mRNA in patients with OC. Results: Our results revealed that the mRNA transcripts of all ID family members were markedly downregulated in OC compared to normal tissue. Aberrant expression of ID 1/3/4correlated with cancer aggressiveness and clinical in OC patients. The prognostic value of ID members was also explored within the subtypes, pathological stages, clinical stages, and TP53 mutational status. The group with a low risk IDs showed a relatively good overall survival (OS) in comparison to the high-risk group. In contrast, the expression level of IDs was significantly associated with the levels of infiltrating B cells and macrophages. Finally, enrichment analysis showed that ID co-expressed genes were involved in ID-, c-MYC, TNF-, and Wnt signaling pathways. Conclusion: These results indicate that ID1/3/4 may be exploited as promising prognostic biomarkers and therapeutic targets in OC patients.
Accumulated studies have provided controversial evidences of expression patterns and prognostic value of the GATA transcription factor family in human ovarian cancer. In the present study, we accessed the distinct expression and prognostic roles of 7 individual members of GATA family in ovarian cancer (OC) patients through Oncoming analysis, CCLE analysis, the Kaplan–Meier plotter (KM plotter) database, cBioPortal and Metascape. Our results indicated that GATA1, GATA3, GATA4 and TRPS1 mRNA expression was significantly higher in OC than normal samples. High expression of GATA1, GATA2, and GATA4 were significantly correlated with better overall survival (OS), while increased GATA3 and GATA6 expression were associated with worse prognosis in OC patients. GATA1, GATA2, GATA3 and GATA6 were closely related to the different clinicopathological features of OC. The genetic variation and interaction of the GATA family may be closely related to the pathogenesis and prognosis of OC, and the regulatory network composed of GATA family genes and their neighboring genes are mainly involved in Notch signaling pathway, Th1 and Th2 cell differentiation and Hippo signaling pathway. Our results might be beneficial for the better understanding of heterogeneity and complexity in the molecular biology of ovarian cancer, and paving a way for more accurate prediction of the prognosis of patients with OC.
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