Abstract

Epithelial-to-mesenchymal transition (EMT) is important in tumor invasiveness and metastasis. We aimed to determine prognostic value of six key EMT markers (CDH1, CDH2, SNAI1, SNAI2, VIM, TWIST1) in clear cell renal cell carcinoma (ccRCC). A total of 533 ccRCC patients with RNASeq data from The Cancer Genome Atlas (TCGA) cohort were included for analysis. Gene expression of these EMT markers was compared between tumor and normal tissues based on Oncomine database and TCGA cohort. Their correlations with progression-free survival (PFS) and overall survival (OS) were also examined in both TCGA cohort and FUSCC (Fudan University Shanghai Cancer Center) cohort. Cox proportional hazards regression model and Kaplan-Meier plot were used to assess the relative factors. Functional enrichment analyses were utilized to describe biologic function annotations and significantly involved hallmarks pathways of each gene. We found that Epithelial marker, CDH1 expression was lower, while mesenchymal markers (CDH2, SNAI1, VIM, TWIST1) expression was higher in ccRCC primary tumors. In the TCGA cohort, we found that patients with higher expression of VIM, TWIST1 or lower expression of CDH1 had worse prognosis. Further, in the FUSCC cohort, we confirmed the predictive ability of mesenchymal markers and epithelial marker expression in PFS and OS of ccRCC patients. After generating Cox regression models, EMT markers (CDH1, SNAI1, VIM, and TWIST1) were independent prognostic factors of both PFS and OS in ccRCC patients. Our preliminary EMT prediction model can facilitate further screening of EMT biomarkers and cast a better understanding of EMT gene function in ccRCC.

Highlights

  • Kidney cancer is one of the most common urological tumors worldwide, and nearly 73,820 new cases and 14,770 deaths were estimated in the United States in 2019 [1]

  • We assessed differential expressed CDH1, CDH2, SNAI1, SNAI2, VIM, TWIST1 in transcriptional and protein level according to datasets hosted on the Oncomine and The Cancer Genome Atlas (TCGA) platform; in the second stage, survival analysis based on distinct comparison expression of six hub genes have been evaluated in TCGA cohort and validated in Fudan University Shanghai Cancer Center (FUSCC) cohort; in the third stage, significantly involved hub genes were selected, and functional annotation of hub genes were elaborated

  • We further compared the mRNA expression of CDH1, CDH2, SNAI1, SNAI2, VIM, TWIST1 between Clear cell renal cell carcinoma (ccRCC) tumor samples and adjacent normal tissues respectively based on RNA-sequence data from TCGA database

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Summary

Introduction

Kidney cancer is one of the most common urological tumors worldwide, and nearly 73,820 new cases and 14,770 deaths were estimated in the United States in 2019 [1]. The incidence and mortality of kidney cancer is increasing in China with estimated 66,800 new cases and 23,400 deaths in 2015 [2]. Clear cell renal cell carcinoma (ccRCC), a major subtype of kidney cancer is the most common type of renal cell carcinoma (RCC) in adults. It is one of the most lethal urological tumors with worldwide mortality of about 90,000 annually based on the WHO statistics [3]. Better prediction of RCC patients after surgery would help make a more suitable and beneficial treatment plan for them

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