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Identification of novel prognostic biomarkers in renal cell carcinoma

Objective: To identify novel prognostic biomarkers in renal cell carcinoma (RCC). Results: 12 coding genes and one miRNA were finally identified as prognostic biomarkers. All of them were related to a poor prognosis. Lower expression levels of the coding genes were observed in higher clinical stages...

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Autores principales: Zou, Yuanzhang, Lu, Qiu, Yao, Qin, Dong, Di, Chen, Binghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803519/
https://www.ncbi.nlm.nih.gov/pubmed/33234734
http://dx.doi.org/10.18632/aging.104131
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author Zou, Yuanzhang
Lu, Qiu
Yao, Qin
Dong, Di
Chen, Binghai
author_facet Zou, Yuanzhang
Lu, Qiu
Yao, Qin
Dong, Di
Chen, Binghai
author_sort Zou, Yuanzhang
collection PubMed
description Objective: To identify novel prognostic biomarkers in renal cell carcinoma (RCC). Results: 12 coding genes and one miRNA were finally identified as prognostic biomarkers. All of them were related to a poor prognosis. Lower expression levels of the coding genes were observed in higher clinical stages. Prognostic signatures including 7 biomarkers were identified. Patients in the high-risk group had worse survival than those in the low-risk group. The areas under the curves in different years indicated that it was a valuable signature in prognosis. It was found that elevated WDR72 inhibited the survival and invasion of 786-O and 769P cells in vitro. Conclusions: Thirteen prognostic biomarkers of RCC were identified. Among them, 7 biomarkers comprised a signature to evaluate the RCC prognosis. WDR72 was a cancer suppressor and a potential therapeutic target in RCC. Methods: Differentially expressed genes/miRNAs (DEGs/DEMs) and prognosis-related genes/miRNAs were acquired from public database. Prognostic biomarkers were identified by overlapping the significant DEGs/DEMs and prognosis-related genes/miRNAs. The associations between these biomarkers and the clinical stages were analyzed. All of these prognostic biomarkers were further investigated with multi-variable Cox regression. Finally, the inhibitory effect of WDR72 on the growth and invasion of RCC cells was studied.
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spelling pubmed-78035192021-01-15 Identification of novel prognostic biomarkers in renal cell carcinoma Zou, Yuanzhang Lu, Qiu Yao, Qin Dong, Di Chen, Binghai Aging (Albany NY) Research Paper Objective: To identify novel prognostic biomarkers in renal cell carcinoma (RCC). Results: 12 coding genes and one miRNA were finally identified as prognostic biomarkers. All of them were related to a poor prognosis. Lower expression levels of the coding genes were observed in higher clinical stages. Prognostic signatures including 7 biomarkers were identified. Patients in the high-risk group had worse survival than those in the low-risk group. The areas under the curves in different years indicated that it was a valuable signature in prognosis. It was found that elevated WDR72 inhibited the survival and invasion of 786-O and 769P cells in vitro. Conclusions: Thirteen prognostic biomarkers of RCC were identified. Among them, 7 biomarkers comprised a signature to evaluate the RCC prognosis. WDR72 was a cancer suppressor and a potential therapeutic target in RCC. Methods: Differentially expressed genes/miRNAs (DEGs/DEMs) and prognosis-related genes/miRNAs were acquired from public database. Prognostic biomarkers were identified by overlapping the significant DEGs/DEMs and prognosis-related genes/miRNAs. The associations between these biomarkers and the clinical stages were analyzed. All of these prognostic biomarkers were further investigated with multi-variable Cox regression. Finally, the inhibitory effect of WDR72 on the growth and invasion of RCC cells was studied. Impact Journals 2020-11-21 /pmc/articles/PMC7803519/ /pubmed/33234734 http://dx.doi.org/10.18632/aging.104131 Text en Copyright: © 2020 Zou et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (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
Zou, Yuanzhang
Lu, Qiu
Yao, Qin
Dong, Di
Chen, Binghai
Identification of novel prognostic biomarkers in renal cell carcinoma
title Identification of novel prognostic biomarkers in renal cell carcinoma
title_full Identification of novel prognostic biomarkers in renal cell carcinoma
title_fullStr Identification of novel prognostic biomarkers in renal cell carcinoma
title_full_unstemmed Identification of novel prognostic biomarkers in renal cell carcinoma
title_short Identification of novel prognostic biomarkers in renal cell carcinoma
title_sort identification of novel prognostic biomarkers in renal cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803519/
https://www.ncbi.nlm.nih.gov/pubmed/33234734
http://dx.doi.org/10.18632/aging.104131
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