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The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice

Renal cell carcinoma has traditionally been classified based on histological features. Contemporary studies have identified genomic, transcriptomic, epigenomic, and metabolomic signatures that correspond to or even transcend histological subtypes. Much remains to be learned about improving the algor...

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Autores principales: Huang, Jennifer J., Hsieh, James J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605346/
https://www.ncbi.nlm.nih.gov/pubmed/33195887
http://dx.doi.org/10.3233/KCA-200085
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author Huang, Jennifer J.
Hsieh, James J.
author_facet Huang, Jennifer J.
Hsieh, James J.
author_sort Huang, Jennifer J.
collection PubMed
description Renal cell carcinoma has traditionally been classified based on histological features. Contemporary studies have identified genomic, transcriptomic, epigenomic, and metabolomic signatures that correspond to or even transcend histological subtypes. Much remains to be learned about improving the algorithm of pan-omics integration for precision oncology, which will not only advance our understanding of RCC pathobiology and treatment response but also result in novel therapeutic opportunities. Accordingly, this review focuses on recent RCC multi-omics literature. Encouragingly, a few reports on omics integration into routinely employed prognostic risk models have shown early promise that could lay the foundation for future development of precision kidney cancer therapies. Hence, this article serves as a primer on what we have learned and how we might better realize the clinical potential of the burgeoning pan-omics data.
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spelling pubmed-76053462020-11-12 The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice Huang, Jennifer J. Hsieh, James J. Kidney Cancer Review Renal cell carcinoma has traditionally been classified based on histological features. Contemporary studies have identified genomic, transcriptomic, epigenomic, and metabolomic signatures that correspond to or even transcend histological subtypes. Much remains to be learned about improving the algorithm of pan-omics integration for precision oncology, which will not only advance our understanding of RCC pathobiology and treatment response but also result in novel therapeutic opportunities. Accordingly, this review focuses on recent RCC multi-omics literature. Encouragingly, a few reports on omics integration into routinely employed prognostic risk models have shown early promise that could lay the foundation for future development of precision kidney cancer therapies. Hence, this article serves as a primer on what we have learned and how we might better realize the clinical potential of the burgeoning pan-omics data. IOS Press 2020-09-16 /pmc/articles/PMC7605346/ /pubmed/33195887 http://dx.doi.org/10.3233/KCA-200085 Text en © 2020 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Huang, Jennifer J.
Hsieh, James J.
The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title_full The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title_fullStr The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title_full_unstemmed The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title_short The Pan-Omics Landscape of Renal Cell Carcinoma and Its Implication on Future Clinical Practice
title_sort pan-omics landscape of renal cell carcinoma and its implication on future clinical practice
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605346/
https://www.ncbi.nlm.nih.gov/pubmed/33195887
http://dx.doi.org/10.3233/KCA-200085
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