Prognostic Value and Immune-Infiltration Pattern of KIF4A in Patients with Endometrial Carcinoma.

ABSTRACT:

Background

With the development of sequencing technology, an increasing number of biomarkers has been identified in endometrial carcinoma (EC). However, there have been few comprehensive analyses of the KIF4A gene in patients with EC.

Methods

Based on raw data in public databases, the KIF4A gene and protein expression in EC were validated. Logistic regression analysis was conducted to analyze the correlations between clinical characteristics and the KIF4A expression. Kaplan-Meier analysis was used to explore the difference in survival in clinical subgroups. Meanwhile, we used meta-analysis in multiple datasets to investigate the prognostic value of KIF4A. In addition, Cox regression analysis was used to confirm the independent prognostic value of

SUBMITTER: Yang Z 

PROVIDER: S-EPMC8814714 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature