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Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma
Context: The number of prognostic markers for clear cell renal cell carcinoma (ccRCC) has been increasing regularly over the last 15 years, without being integrated and compared. Objective: Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113694/ https://www.ncbi.nlm.nih.gov/pubmed/33996558 http://dx.doi.org/10.3389/fonc.2021.643065 |
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author | Petitprez, Florent Ayadi, Mira de Reyniès, Aurélien Fridman, Wolf H. Sautès-Fridman, Catherine Job, Sylvie |
author_facet | Petitprez, Florent Ayadi, Mira de Reyniès, Aurélien Fridman, Wolf H. Sautès-Fridman, Catherine Job, Sylvie |
author_sort | Petitprez, Florent |
collection | PubMed |
description | Context: The number of prognostic markers for clear cell renal cell carcinoma (ccRCC) has been increasing regularly over the last 15 years, without being integrated and compared. Objective: Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinics. Evidence Acquisition: PubMed database was searched to identify RNA and protein markers whose expression level was reported as associated with survival of ccRCC patients. Relevant studies were selected through cross-reading by two readers. Evidence Synthesis: We selected 249 studies reporting an association with prognostic of either single markers or multiple-marker models. Altogether, these studies were based on a total of 341 distinct markers and 13 multiple-marker models. Twenty percent of these markers were involved in four biological pathways altered in ccRCC: cell cycle, angiogenesis, hypoxia, and immune response. The main genes (VHL, PBRM1, BAP1, and SETD2) involved in ccRCC carcinogenesis are not the most relevant for assessing survival. Conclusion: Among single markers, the most validated markers were KI67, BIRC5, TP53, CXCR4, and CA9. Of the multiple-marker models, the most famous model, ClearCode34, has been highly validated on several independent datasets, but its clinical utility has not yet been investigated. Patient Summary: Over the years, the prognosis studies have evolved from single markers to multiple-marker models. Our review highlights the highly validated prognostic markers and multiple-marker models and discusses their clinical utility for better therapeutic care. |
format | Online Article Text |
id | pubmed-8113694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81136942021-05-13 Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma Petitprez, Florent Ayadi, Mira de Reyniès, Aurélien Fridman, Wolf H. Sautès-Fridman, Catherine Job, Sylvie Front Oncol Oncology Context: The number of prognostic markers for clear cell renal cell carcinoma (ccRCC) has been increasing regularly over the last 15 years, without being integrated and compared. Objective: Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinics. Evidence Acquisition: PubMed database was searched to identify RNA and protein markers whose expression level was reported as associated with survival of ccRCC patients. Relevant studies were selected through cross-reading by two readers. Evidence Synthesis: We selected 249 studies reporting an association with prognostic of either single markers or multiple-marker models. Altogether, these studies were based on a total of 341 distinct markers and 13 multiple-marker models. Twenty percent of these markers were involved in four biological pathways altered in ccRCC: cell cycle, angiogenesis, hypoxia, and immune response. The main genes (VHL, PBRM1, BAP1, and SETD2) involved in ccRCC carcinogenesis are not the most relevant for assessing survival. Conclusion: Among single markers, the most validated markers were KI67, BIRC5, TP53, CXCR4, and CA9. Of the multiple-marker models, the most famous model, ClearCode34, has been highly validated on several independent datasets, but its clinical utility has not yet been investigated. Patient Summary: Over the years, the prognosis studies have evolved from single markers to multiple-marker models. Our review highlights the highly validated prognostic markers and multiple-marker models and discusses their clinical utility for better therapeutic care. Frontiers Media S.A. 2021-04-28 /pmc/articles/PMC8113694/ /pubmed/33996558 http://dx.doi.org/10.3389/fonc.2021.643065 Text en Copyright © 2021 Petitprez, Ayadi, de Reyniès, Fridman, Sautès-Fridman and Job. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Petitprez, Florent Ayadi, Mira de Reyniès, Aurélien Fridman, Wolf H. Sautès-Fridman, Catherine Job, Sylvie Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title | Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title_full | Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title_fullStr | Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title_full_unstemmed | Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title_short | Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma |
title_sort | review of prognostic expression markers for clear cell renal cell carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113694/ https://www.ncbi.nlm.nih.gov/pubmed/33996558 http://dx.doi.org/10.3389/fonc.2021.643065 |
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