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Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma

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 Canc...

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Autores principales: Xu, Hua, Xu, Wen-Hao, Ren, Fei, Wang, Jun, Wang, Hong-Kai, Cao, Da-Long, Shi, Guo-Hai, Qu, Yuan-Yuan, Zhang, Hai-Liang, Ye, Ding-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977664/
https://www.ncbi.nlm.nih.gov/pubmed/31915310
http://dx.doi.org/10.18632/aging.102660
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author Xu, Hua
Xu, Wen-Hao
Ren, Fei
Wang, Jun
Wang, Hong-Kai
Cao, Da-Long
Shi, Guo-Hai
Qu, Yuan-Yuan
Zhang, Hai-Liang
Ye, Ding-Wei
author_facet Xu, Hua
Xu, Wen-Hao
Ren, Fei
Wang, Jun
Wang, Hong-Kai
Cao, Da-Long
Shi, Guo-Hai
Qu, Yuan-Yuan
Zhang, Hai-Liang
Ye, Ding-Wei
author_sort Xu, Hua
collection PubMed
description 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.
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spelling pubmed-69776642020-01-31 Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma Xu, Hua Xu, Wen-Hao Ren, Fei Wang, Jun Wang, Hong-Kai Cao, Da-Long Shi, Guo-Hai Qu, Yuan-Yuan Zhang, Hai-Liang Ye, Ding-Wei Aging (Albany NY) Research Paper 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. Impact Journals 2020-01-08 /pmc/articles/PMC6977664/ /pubmed/31915310 http://dx.doi.org/10.18632/aging.102660 Text en Copyright © 2020 Xu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Xu, Hua
Xu, Wen-Hao
Ren, Fei
Wang, Jun
Wang, Hong-Kai
Cao, Da-Long
Shi, Guo-Hai
Qu, Yuan-Yuan
Zhang, Hai-Liang
Ye, Ding-Wei
Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title_full Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title_fullStr Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title_full_unstemmed Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title_short Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
title_sort prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977664/
https://www.ncbi.nlm.nih.gov/pubmed/31915310
http://dx.doi.org/10.18632/aging.102660
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