Bioinformatic analysis of the expression of KIF14 and its clinical significance and biological functions in clear cell renal cell carcinoma / 现代泌尿外科杂志

【Objective】 To investigate the expression of Kinesin family member 14 (KIF14), and its correlation with clinical prognosis and immune cell infiltration of clear cell renal cell carcinoma (ccRCC). 【Methods】 The correlation between KIF14 expression in ccRCC and different clinicopathological features were analyzed with TCGA, GEO and Ualcan databases. The correlation between KIF14 expression and prognosis was analzyed with Kaplan-Meier method. The correlation between KIF14 expression and immune cell infiltration was analzyed with TIMER. The protein-protein interaction network of KIF14 was conducted with Genemania. The co-expression genes of KIF14 in TCGA-KIRC were picked out in Linkedomics database and were used to perform GO annotations and KEGG pathway enrichment analysis with R software. The biological functions of KIF14 were verified with in vitro functional assay. 【Results】 KIF14 was highly expressed in ccRCC tissue and was positively correlated with clinical stage, pathological grade, and lymphatic metastasis, but negatively correlated with clinical prognosis. KIF14 expression was an independent risk factor for overall survival of ccRCC patients. GO annotations showed that KIF14 was involved in DNA replication, nuclear division, organelle fission, and cell adhesion. KEGG pathway enrichment analysis showed that KIF14 participated in cell cycle and p53 signaling pathway. Genemania analysis indicated KIF14 interacted with CENPE, CIT, KIF23, and other proteins. Timer showed that KIF14 was positively correlated with immune cell infiltration. Knockdown of KIF14 expression suppressed cell proliferation, migration, and invasion of ccRCC. 【Conclusions】 KIF14 may serve as a novel prognostic marker and a potential therapeutic target of clear cell renal cell carcinoma.

Foreign research status of the influence of nurse factors on patient mortality / 中国实用护理杂志

Mortality is a key index for assessing technical level and treatment quality of hospital. We filtered and analyzed the literatures about the influence of nurse factors on patient mortality out of China in recent years to guide the study within China. We found the nurse factors impacting mortality included workload, configuration of nursing staff, education status and working environment. Those findings point out the direction of the research on relationship between nurse factors and patient mortality in China, which has great significance.