Please use this identifier to cite or link to this item: http://hdl.handle.net/11054/2181
Title: In vitro and in silico analysis of epithelial-mesenchymal transition and cancer stemness as prognostic markers of clear cell renal cell carcinoma.
Author: Sharma, Revati
Balta, Showan
Raza, Ali
Escalona, Ruth M.
Kannourakis, George
Prithviraj, Prashanth
Ahmed, Nuzhat
Issue Date: 2023
Publication Title: Cancers
Volume: 15
Issue: 9
Start Page: 2586
Abstract: The process of epithelial-mesenchymal transition (EMT) involves the phenotypic transformation of cells from epithelial to mesenchymal status. The cells exhibiting EMT contain features of cancer stem cells (CSC), and the dual processes are responsible for progressive cancers. Activation of hypoxia-inducible factors (HIF) is fundamental to the pathogenesis of clear cell renal cell carcinoma (ccRCC), and their role in promoting EMT and CSCs is crucial for ccRCC tumour cell survival, disease progression, and metastatic spread. In this study, we explored the status of HIF genes and their downstream targets, EMT and CSC markers, by immunohistochemistry on in-house accrued ccRCC biopsies and adjacent non-tumorous tissues from patients undergoing partial or radical nephrectomy. In combination, we comprehensively analysed the expression of HIF genes and its downstream EMT and CSC-associated targets relevant to ccRCC by using publicly available datasets, the cancer genome atlas (TCGA) and the clinical proteome tumour analysis consortium (CPTAC). The aim was to search for novel biological prognostic markers that can stratify high-risk patients likely to experience metastatic disease. Using the above two approaches, we report the development of novel gene signatures that may help to identify patients at a high risk of developing metastatic and progressive disease.
URI: http://hdl.handle.net/11054/2181
DOI: https://doi.org/10.3390/cancers15092586
Internal ID Number: 02248
Health Subject: CLEAR CELL RENAL CELL CARCINOMA
EPITHELIAL-MESENCHYMAL TRANSITION
CANCER STEM CELLS
PROGNOSTIC MARKERS
Type: Journal Article
Article
Appears in Collections:Research Output

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