BackgroundThe incidence and mortality of uterine corpus endometrial carcinoma (UCEC) are increasing yearly. There is currently no screening test for UCEC, and progress in its treatment is limited. It is important to identify new biomarkers for screening, diagnosing and predicting the outcomes of UCEC. A large number of previous studies have proven that KNL1 is crucial in the development of lung cancer, colorectal cancer and cervical cancer, but there is a lack of studies about the role of KNL1 in the development of UCEC.MethodsThe mRNA and protein expression data of KNL1 in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and UALCAN databases and related clinical data were used to analyze the expression differences and clinical correlations of KNL1 in UCEC. A total of 108 clinical samples were collected, and the results of bioinformatics analysis were verified by immunohistochemistry. KNL1 and its related differentially expressed genes were used to draw a volcano map, construct a PPI protein interaction network, and perform gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA) and immune infiltration analysis to predict the function of KNL1 during UCEC progression. The prognostic data of TCGA and 108 clinical patients were used to analyze the correlation of KNL1 expression with the survival of patients, and KM survival curves were drawn. The UCEC cell lines Ishikawa and Hec-1-A were used to verify the function of KNL1.ResultsKNL1 is significantly overexpressed in UCEC and is associated with a poor prognosis. KNL1 overexpression is closely related to cell mitosis, the cell cycle and other functions and is correlated with the International Federation of Gynecology and Obstetrics (FIGO) stage, histological grade and other characteristics of UCEC patients. Knockdown of KNL1 expression in UCEC cell lines can inhibit their proliferation, invasion, metastasis and other phenotypes.ConclusionKNL1 is a prognostic and diagnostic biomarker associated with immune evasion in patients with UCEC.
Gomisin A (GA) is an effective component of Schisandra. The crude extracts of Schisandra chinensis and its active ingredients have been shown to inhibit multidrug resistance in tumour cells. Reactive oxygen species (ROS) have different roles in cancer and may contribute to therapy resistance. The human ovarian cancer (OC) cell lines SKOV3 and A2780, and a mouse model of OC, were used in the present study. MTT assay, colony formation assay, flow cytometry, western blot analysis, and haematoxylin and eosin (H&E) staining were performed to determine the antitumor effect of GA and paclitaxel (PTX) in vitro and in vivo. The ROS inhibitor N-acetyl cysteine (NAC) was used to assess the mechanism underlying the chemosensitizing effects of GA. Notably, the proliferation of OC cells was inhibited by PTX, which could be enhanced by the ROS inhibitor NAC or GA. Treatment with NAC + PTX or GA + PTX enhanced the cell cycle arrest, but not apoptosis, induced by PTX. Moreover, the molecular mechanism underlying this effect may be that GA decreases the levels of ROS in ovarian cancer cells and inhibits cell cycle progression by downregulating the expression of the cell cycle proteins cyclin-dependent kinase 4 and cyclin B1. In conclusion, the combination of PTX and the ROS inhibitor GA may be a novel strategy in OC chemotherapy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.