Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783635955369902080 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7803519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zouyuanzhang identificationofnovelprognosticbiomarkersinrenalcellcarcinoma AT luqiu identificationofnovelprognosticbiomarkersinrenalcellcarcinoma AT yaoqin identificationofnovelprognosticbiomarkersinrenalcellcarcinoma AT dongdi identificationofnovelprognosticbiomarkersinrenalcellcarcinoma AT chenbinghai identificationofnovelprognosticbiomarkersinrenalcellcarcinoma |