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Current Trends in the Molecular Classification of Renal Neoplasms
Renal cell carcinoma (RCC) is the most common form of kidney cancer in adults. RCC is a significant challenge for pathologic diagnosis and clinical management. The primary approach to diagnosis is by light microscopy, using the World Health Organization (WHO) classification system, which defines his...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
TheScientificWorldJOURNAL
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5917257/ https://www.ncbi.nlm.nih.gov/pubmed/17619725 http://dx.doi.org/10.1100/tsw.2006.390 |
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author | Young, Andrew N. Master, Viraj A. Amin, Mahul B. |
author_facet | Young, Andrew N. Master, Viraj A. Amin, Mahul B. |
author_sort | Young, Andrew N. |
collection | PubMed |
description | Renal cell carcinoma (RCC) is the most common form of kidney cancer in adults. RCC is a significant challenge for pathologic diagnosis and clinical management. The primary approach to diagnosis is by light microscopy, using the World Health Organization (WHO) classification system, which defines histopathologic tumor subtypes with distinct clinical behavior and underlying genetic mutations. However, light microscopic diagnosis of RCC subtypes is often difficult due to variable histology. In addition, the clinical behavior of RCC is highly variable and therapeutic response rates are poor. Few clinical assays are available to predict outcome in RCC or correlate behavior with histology. Therefore, novel RCC classification systems based on gene expression should be useful for diagnosis, prognosis, and treatment. Recent microarray studies have shown that renal tumors are characterized by distinct gene expression profiles, which can be used to discover novel diagnostic and prognostic biomarkers. Here, we review clinical features of kidney cancer, the WHO classification system, and the growing role of molecular classification for diagnosis, prognosis, and therapy of this disease. |
format | Online Article Text |
id | pubmed-5917257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | TheScientificWorldJOURNAL |
record_format | MEDLINE/PubMed |
spelling | pubmed-59172572018-06-03 Current Trends in the Molecular Classification of Renal Neoplasms Young, Andrew N. Master, Viraj A. Amin, Mahul B. ScientificWorldJournal Review Article Renal cell carcinoma (RCC) is the most common form of kidney cancer in adults. RCC is a significant challenge for pathologic diagnosis and clinical management. The primary approach to diagnosis is by light microscopy, using the World Health Organization (WHO) classification system, which defines histopathologic tumor subtypes with distinct clinical behavior and underlying genetic mutations. However, light microscopic diagnosis of RCC subtypes is often difficult due to variable histology. In addition, the clinical behavior of RCC is highly variable and therapeutic response rates are poor. Few clinical assays are available to predict outcome in RCC or correlate behavior with histology. Therefore, novel RCC classification systems based on gene expression should be useful for diagnosis, prognosis, and treatment. Recent microarray studies have shown that renal tumors are characterized by distinct gene expression profiles, which can be used to discover novel diagnostic and prognostic biomarkers. Here, we review clinical features of kidney cancer, the WHO classification system, and the growing role of molecular classification for diagnosis, prognosis, and therapy of this disease. TheScientificWorldJOURNAL 2006-12-15 /pmc/articles/PMC5917257/ /pubmed/17619725 http://dx.doi.org/10.1100/tsw.2006.390 Text en Copyright © 2006 Andrew N. Young et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Young, Andrew N. Master, Viraj A. Amin, Mahul B. Current Trends in the Molecular Classification of Renal Neoplasms |
title | Current Trends in the Molecular Classification of Renal Neoplasms |
title_full | Current Trends in the Molecular Classification of Renal Neoplasms |
title_fullStr | Current Trends in the Molecular Classification of Renal Neoplasms |
title_full_unstemmed | Current Trends in the Molecular Classification of Renal Neoplasms |
title_short | Current Trends in the Molecular Classification of Renal Neoplasms |
title_sort | current trends in the molecular classification of renal neoplasms |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5917257/ https://www.ncbi.nlm.nih.gov/pubmed/17619725 http://dx.doi.org/10.1100/tsw.2006.390 |
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