Lihua Yang

ARID5B promoted the histone demethylation of SORBS2 and hampered the metastasis of ovarian cancer

Ovarian cancer (OVCA) is the 4th most common female tumor after breast cancer, cervical cancer, and endometrial cancer, and now is mainly treated with debulking surgery and postoperative cisplatin and paclitaxel-based combination chemotherapy regimens. However, OVCA is insidious in its development and recurrence occurred in some patients after treatment. It is of great significance to study the pathogenesis of ovarian cancer and identify more biomarkers. Recently, the role of histone methyltransferase (HMT) and histone demethylase (HDM) in oncogenesis and development of malignant tumors has raised attention. Unlike other JMJC demethylases that have both JMJC and ARID domains in a single molecule, PHF2 requires assembly into a complex with a DNA-binding subunit (ARID5B) and exerts its enzymatic activity. Therefore, the aim of this manuscript is to investigate the role of histone demethylases ARID5B-PHF2 complex in the metastasis of OVCA. As result, we found ARID5B and PHF2 are both low expressed in OVCA tumor tissues and cell lines and associated with diagnosis and prognosis. Also, ARID5B suppressed rearrangement of the cytoskeleton in the process of EMT in OVCA cell lines. The role of PHF2 as a tumor suppressor was also confirmed both in vivo and in vitro. SORBS2 is low expressed in OVCA tumor tissues and cell lines and associated with diagnosis and prognosis. The expression of SORBS2 is positively corelated with the expression of ARID5B and PHF2. The promoter of SORBS2 is proved combined with ARID5B. The expression of SORBS2 was increased due to ARID5B-PHF2 complex promoted the histone demethylation by mainly binding in site H3K36me2 and therefore promoting the transcription of SORBS2. In conclusion, ARID5B-PHF2 complex promoted the histone demethylation of SORBS2 by mainly bind in site H3K36me2 and therefore promote the transcription of SORBS2 then hampered the process of EMT and tumor generation of OVCA. These results provided a new perspective on the molecular mechanisms of OVCA development and offered a new target of clinical diagnose and treatment of OVCA.

Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

Abstract Background Ovarian cancer(OC) is the gynecological tumor with the highest mortality rate, effective biomarkers are of great significance in improving its prognosis. In recent years, there have been many studies on alternative splicing (AS) events, and the role of AS events in tumor has become a focus of attention. Methods Data were downloaded from the TCGA database and Univariate Cox regression analysis was performed to determine AS events associated with OC prognosis.Eight prognostic models of OC were constructed in R package, and the accuracy of the models were evaluated by the time-dependent receiver operating characteristic (ROC) curves.Eight types of survival curves were drawn to evaluate the differences between the high and low risk groups.Independent prognostic factors of OC were analyzed by single factor independent analysis and multi-factor independent prognostic analysis.Again, Univariate Cox regression analysis was used to analyze the relationship between splicing factors(SF) and AS events, and Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis were performed on OS-related SFs to understand the pathways. Results Univariate Cox regression analysis showed that among the 15,278 genes, there were 31,286 overall survival (OS) related AS events, among which 1524 AS events were significantly correlated with OS. The area under the time-dependent receiver operating characteristic curve (AUC) of AT and ME were the largest and the RI was the smallest,which were 0.757 and 0.68 respectively. The constructed models have good value for the prognosis assessment of OC patients. Among the eight survival curves, AP was the most significant difference between the high and low risk groups, with a P value of 1.61e − 1.The results of single factor independent analysis and multi-factor independent prognostic analysis showed that risk score calculated by the model and age could be used as independent risk factors.According to univariate COX regression analysis,109 SFs were correlated with AS events and adjusted in two ways: positive and negative. Conclusions SFs and AS events can directly or indirectly affect the prognosis of OC patients. It is very important to find effective prognostic markers to improve the survival rate of OC.

Overexpression of NCAPG in ovarian cancer is associated with ovarian cancer proliferation and apoptosis via p38 MAPK signaling pathway

Abstract Background Non-SMC condensin I complex subunit G (NCAPG), a member of the subunit of condensin complex, is significantly overexpressed in various cancers and involved in the pathogenesis of cancers. However, the roles of NCAPG in ovarian cancer remain unclear. Methods The mRNA expression, overall survival, and disease-free survival of NCAPG in ovarian cancer were analyzed by GEPIA and KM plotter database, and the expression levels of NCAPG in OC tissues and cell lines were determined by qPCR and immunohistochemistry analysis. shRNA targeting NCAPG gene (sh-NCAPG) was utilized to knock down NCAPG expression in OVCAR3 and SKOV3 cells. Subsequently, CCK-8 assay, colony formation assay, transwell invasion assay and flow cytometric analysis were performed to detect the effect of NCAPG on OC cell proliferation, apoptosis, and invasion. Finally, western blot assays were performed to detect the mechanism of NCAPG in ovarian cancer. Results Analysis using GEPIA and KM plotter database showed NCAPG was upregulated in ovarian cancer and negatively associated with the survival of OC patients. qPCR and immunohistochemistry analysis confirmed it was highly expressed in both ovarian cancer tissues and cells. The silencing of NCAPG inhibited OC cell proliferation and invasion, and induced cell apoptosis. Additionally, flow cytometric analysis revealed that NCAPG knockdown arrested the cell cycle at G2 and S phases. Furthermore, we also found that downregulation of NCAPG could suppress OC cell proliferation and invasion via activating the p38 MAPK signaling pathway. Conclusion Our results suggest that NCAPG exhibits an important role in the development and progression of ovarian cancer and implicates NCAPG as a potential therapeutic target in ovarian cancer.