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Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile

BACKGROUND: Clear cell renal carcinoma (RCC) is the most common and invasive adult renal cancer. For the purpose of identifying RCC biomarkers, we investigated chromosomal regions and individual genes modulated in RCC pathology. We applied the dual strategy of assessing and integrating genomic and t...

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Autores principales: Cifola, Ingrid, Spinelli, Roberta, Beltrame, Luca, Peano, Clelia, Fasoli, Ester, Ferrero, Stefano, Bosari, Silvano, Signorini, Stefano, Rocco, Francesco, Perego, Roberto, Proserpio, Vanessa, Raimondo, Francesca, Mocarelli, Paolo, Battaglia, Cristina
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2253555/
https://www.ncbi.nlm.nih.gov/pubmed/18194544
http://dx.doi.org/10.1186/1476-4598-7-6
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author Cifola, Ingrid
Spinelli, Roberta
Beltrame, Luca
Peano, Clelia
Fasoli, Ester
Ferrero, Stefano
Bosari, Silvano
Signorini, Stefano
Rocco, Francesco
Perego, Roberto
Proserpio, Vanessa
Raimondo, Francesca
Mocarelli, Paolo
Battaglia, Cristina
author_facet Cifola, Ingrid
Spinelli, Roberta
Beltrame, Luca
Peano, Clelia
Fasoli, Ester
Ferrero, Stefano
Bosari, Silvano
Signorini, Stefano
Rocco, Francesco
Perego, Roberto
Proserpio, Vanessa
Raimondo, Francesca
Mocarelli, Paolo
Battaglia, Cristina
author_sort Cifola, Ingrid
collection PubMed
description BACKGROUND: Clear cell renal carcinoma (RCC) is the most common and invasive adult renal cancer. For the purpose of identifying RCC biomarkers, we investigated chromosomal regions and individual genes modulated in RCC pathology. We applied the dual strategy of assessing and integrating genomic and transcriptomic data, today considered the most effective approach for understanding genetic mechanisms of cancer and the most sensitive for identifying cancer-related genes. RESULTS: We performed the first integrated analysis of DNA and RNA profiles of RCC samples using Affymetrix technology. Using 100K SNP mapping arrays, we assembled a genome-wide map of DNA copy number alterations and LOH areas. We thus confirmed the typical genetic signature of RCC but also identified other amplified regions (e.g. on chr. 4, 11, 12), deleted regions (chr. 1, 9, 22) and LOH areas (chr. 1, 2, 9, 13). Simultaneously, using HG-U133 Plus 2.0 arrays, we identified differentially expressed genes (DEGs) in tumor vs. normal samples. Combining genomic and transcriptomic data, we identified 71 DEGs in aberrant chromosomal regions and observed, in amplified regions, a predominance of up-regulated genes (27 of 37 DEGs) and a trend to clustering. Functional annotation of these genes revealed some already implicated in RCC pathology and other cancers, as well as others that may be novel tumor biomarkers. CONCLUSION: By combining genomic and transcriptomic profiles from a collection of RCC samples, we identified specific genomic regions with concordant alterations in DNA and RNA profiles and focused on regions with increased DNA copy number. Since the transcriptional modulation of up-regulated genes in amplified regions may be attributed to the genomic alterations characteristic of RCC, these genes may encode novel RCC biomarkers actively involved in tumor initiation and progression and useful in clinical applications.
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spelling pubmed-22535552008-02-23 Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile Cifola, Ingrid Spinelli, Roberta Beltrame, Luca Peano, Clelia Fasoli, Ester Ferrero, Stefano Bosari, Silvano Signorini, Stefano Rocco, Francesco Perego, Roberto Proserpio, Vanessa Raimondo, Francesca Mocarelli, Paolo Battaglia, Cristina Mol Cancer Research BACKGROUND: Clear cell renal carcinoma (RCC) is the most common and invasive adult renal cancer. For the purpose of identifying RCC biomarkers, we investigated chromosomal regions and individual genes modulated in RCC pathology. We applied the dual strategy of assessing and integrating genomic and transcriptomic data, today considered the most effective approach for understanding genetic mechanisms of cancer and the most sensitive for identifying cancer-related genes. RESULTS: We performed the first integrated analysis of DNA and RNA profiles of RCC samples using Affymetrix technology. Using 100K SNP mapping arrays, we assembled a genome-wide map of DNA copy number alterations and LOH areas. We thus confirmed the typical genetic signature of RCC but also identified other amplified regions (e.g. on chr. 4, 11, 12), deleted regions (chr. 1, 9, 22) and LOH areas (chr. 1, 2, 9, 13). Simultaneously, using HG-U133 Plus 2.0 arrays, we identified differentially expressed genes (DEGs) in tumor vs. normal samples. Combining genomic and transcriptomic data, we identified 71 DEGs in aberrant chromosomal regions and observed, in amplified regions, a predominance of up-regulated genes (27 of 37 DEGs) and a trend to clustering. Functional annotation of these genes revealed some already implicated in RCC pathology and other cancers, as well as others that may be novel tumor biomarkers. CONCLUSION: By combining genomic and transcriptomic profiles from a collection of RCC samples, we identified specific genomic regions with concordant alterations in DNA and RNA profiles and focused on regions with increased DNA copy number. Since the transcriptional modulation of up-regulated genes in amplified regions may be attributed to the genomic alterations characteristic of RCC, these genes may encode novel RCC biomarkers actively involved in tumor initiation and progression and useful in clinical applications. BioMed Central 2008-01-14 /pmc/articles/PMC2253555/ /pubmed/18194544 http://dx.doi.org/10.1186/1476-4598-7-6 Text en Copyright © 2008 Cifola et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Cifola, Ingrid
Spinelli, Roberta
Beltrame, Luca
Peano, Clelia
Fasoli, Ester
Ferrero, Stefano
Bosari, Silvano
Signorini, Stefano
Rocco, Francesco
Perego, Roberto
Proserpio, Vanessa
Raimondo, Francesca
Mocarelli, Paolo
Battaglia, Cristina
Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title_full Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title_fullStr Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title_full_unstemmed Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title_short Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
title_sort genome-wide screening of copy number alterations and loh events in renal cell carcinomas and integration with gene expression profile
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2253555/
https://www.ncbi.nlm.nih.gov/pubmed/18194544
http://dx.doi.org/10.1186/1476-4598-7-6
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