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Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma
The promise of personalized medicine is a therapeutic advance where tumor signatures obtained from different omics platforms, such as genomics, transcriptomics, proteomics, and metabolomics, in addition to environmental factors including metals and metalloids, are used to guide the treatments. Clear...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999481/ https://www.ncbi.nlm.nih.gov/pubmed/33803184 http://dx.doi.org/10.3390/genes12030388 |
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author | Czyzyk-Krzeska, Maria F. Landero Figueroa, Julio A. Gulati, Shuchi Cunningham, John T. Meller, Jarek ShamsaeI, Behrouz Vemuri, Bhargav Plas, David R. |
author_facet | Czyzyk-Krzeska, Maria F. Landero Figueroa, Julio A. Gulati, Shuchi Cunningham, John T. Meller, Jarek ShamsaeI, Behrouz Vemuri, Bhargav Plas, David R. |
author_sort | Czyzyk-Krzeska, Maria F. |
collection | PubMed |
description | The promise of personalized medicine is a therapeutic advance where tumor signatures obtained from different omics platforms, such as genomics, transcriptomics, proteomics, and metabolomics, in addition to environmental factors including metals and metalloids, are used to guide the treatments. Clear cell renal carcinoma (ccRCC), the most common type of kidney cancer, can be sporadic (frequently) or genetic (rare), both characterized by loss of the von Hippel-Lindau (VHL) gene that controls hypoxia inducible factors. Recently, several genomic subtypes were identified with different prognoses. Transcriptomics, proteomics, metabolomics and metallomic data converge on altered metabolism as the principal feature of the disease. However, in view of multiple biochemical alterations and high level of tumor heterogeneity, identification of clearly defined subtypes is necessary for further improvement of treatments. In the future, single-cell combined multi-omics approaches will be the next generation of analyses gaining deeper insights into ccRCC progression and allowing for design of specific signatures, with better prognostic/predictive clinical applications. |
format | Online Article Text |
id | pubmed-7999481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79994812021-03-28 Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma Czyzyk-Krzeska, Maria F. Landero Figueroa, Julio A. Gulati, Shuchi Cunningham, John T. Meller, Jarek ShamsaeI, Behrouz Vemuri, Bhargav Plas, David R. Genes (Basel) Review The promise of personalized medicine is a therapeutic advance where tumor signatures obtained from different omics platforms, such as genomics, transcriptomics, proteomics, and metabolomics, in addition to environmental factors including metals and metalloids, are used to guide the treatments. Clear cell renal carcinoma (ccRCC), the most common type of kidney cancer, can be sporadic (frequently) or genetic (rare), both characterized by loss of the von Hippel-Lindau (VHL) gene that controls hypoxia inducible factors. Recently, several genomic subtypes were identified with different prognoses. Transcriptomics, proteomics, metabolomics and metallomic data converge on altered metabolism as the principal feature of the disease. However, in view of multiple biochemical alterations and high level of tumor heterogeneity, identification of clearly defined subtypes is necessary for further improvement of treatments. In the future, single-cell combined multi-omics approaches will be the next generation of analyses gaining deeper insights into ccRCC progression and allowing for design of specific signatures, with better prognostic/predictive clinical applications. MDPI 2021-03-09 /pmc/articles/PMC7999481/ /pubmed/33803184 http://dx.doi.org/10.3390/genes12030388 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Czyzyk-Krzeska, Maria F. Landero Figueroa, Julio A. Gulati, Shuchi Cunningham, John T. Meller, Jarek ShamsaeI, Behrouz Vemuri, Bhargav Plas, David R. Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title | Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title_full | Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title_fullStr | Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title_full_unstemmed | Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title_short | Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma |
title_sort | molecular and metabolic subtypes in sporadic and inherited clear cell renal cell carcinoma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999481/ https://www.ncbi.nlm.nih.gov/pubmed/33803184 http://dx.doi.org/10.3390/genes12030388 |
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