Guanlan Fan

A positive feedback loop of OTUD1 and c-Jun driven by leptin expedites stemness maintenance in ovarian cancer

Cancer stem cells (CSCs) are closely associated with drug resistance and recurrence in ovarian cancer patients. Although leptin is a high-risk factor for ovarian cancer and promotes stemness maintenance, a therapeutic strategy that counteracts the downstream signaling pathway of leptin remains elusive. Herein, the deubiquitinase OTUD1 was identified as a critical regulator of leptin in maintaining OCSCs properties. Mechanistically, leptin treatment significantly increased the chromatin enrichment of the transcription factor c-Jun, including the OTUD1 gene enhancer, which was sufficient to increase the OTUD1 protein level and subsequently cause OTUD1 aggresome formation, ASK1 recruitment and JNK/c-Jun pathway activation. The resultant positive feedback loop of c-Jun and OTUD1 was required for OCSCs stemness maintenance. Notably, the disruption of the positive feedback loop by targeting c-Jun or ASK1/JNK with T-5224, selonsertib, or ibrutinib markedly inhibited the leptin-induced stemness maintenance of OCSCs and tumorigenicity. Our findings reveal a crucial mechanism for leptin-mediated stemness maintenance and indicate that targeting c-Jun or the identified positive feedback loop has translational potential for ovarian cancer patients.

The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining

To reconstruct the ceRNA biological network of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and to select an appropriate mRNA as a biomarker that could be used for CESC early diagnosis and prognosis evaluation. We downloaded CESC data from the TCGA public database, and statistical analysis was conducted with the R software to find out differential expressed genes encoding for lncRNAs, miRNAs, and mRNAs. The differentially expressed mRNAs (DEmRNAs) screened in the ceRNA network were analyzed for survival to find the mRNAs with significantly linked to the survival prognosis. These mRNAs were searched in the Pathological Atlas to identify the final appropriate mRNAs. Differential expression analysis revealed 773 lncRNAs, 94 miRNAs, and 2466 mRNAs. Survival analysis of DEmRNAs in the ceRNA network indicated that ADGRF4, ANXA8L1, HCAR3, IRF6, and PDE2A (P < 0.05) were negatively correlated with survival time. Verification of these six DEmRNAs in the Pathology Atlas indicated that PDE2A was a possible biomarker for CESC patients. PDE2A might be a biomarker for early diagnosis and prognosis evaluation of CESC patients, but due to the lack of available data, further studies may be needed for confirmation.