Analysis of clinical significance of expression of KIF2C in bladder cancer utilizing GEO datasets
Bladder cancer patient tumor-specific survival curve (up) & Overall Survival Curve (down)Abstract
Objective: To investigate the expression of kinesin family member 2C ( KIF2C) in bladder cancer ( BC) utilizing GEO datasets, to clarify the relationship between KIF2C expression and clinicopathological characteristics of patients with BC, and to evaluate the possibility of using KIF2C as a prognosis marker in BC.
Methods: BC gene expression studies were collected and the relationship between expression level of KIF2C and clinical information were analyzed． Gene sets en- richment analysis ( GSEA) was conducted to explore the gene sets enriched in KIF2C high-expres- sion samples.
Results: The expression of KIF2C was up-regulated in BC ( P＜0．000 1) ; KIF2C ex- pression was significantly associated with progression, grade, T stage, and N stage． Higher expres- sion of KIF2C indicated poor prognosis in BC． GSEA indicated that KIF2C regulated gene sets asso- ciated with ribosomalprotein, polycombprotein, endogenous ribonuclease, E2F, and anti-oncogene RB.
Conclusion: KIF2C is highly expressed in BC and functions as a potential marker and target for diagnosis and treatment of BC.
Feng Y
in pursuit of a Ph.D. opportunity
My current research interests include bioinformatics analysis, clinical cohort studies, clinical randomized controlled trials （RCTs), meta-analyses, and latent class analyses related to coronary artery disease, myocardial infarction, and hyperlipidemia.
