Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile
Open Access
- 14 January 2008
- journal article
- Published by Springer Nature in Molecular Cancer
- Vol. 7 (1) , 6
- https://doi.org/10.1186/1476-4598-7-6
Abstract
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.Keywords
This publication has 45 references indexed in Scilit:
- Overlay analysis of the oligonucleotide array gene expression profiles and copy number abnormalities as determined by array comparative genomic hybridization in medulloblastomasGenes, Chromosomes and Cancer, 2006
- High-resolution Global Genomic Survey of 178 Gliomas Reveals Novel Regions of Copy Number Alteration and Allelic ImbalancesCancer Research, 2006
- A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancersNature Genetics, 2006
- Comprehensive assessment of DNA copy number alterations in human prostate cancers using Affymetrix 100K SNP mapping arrayGenes, Chromosomes and Cancer, 2006
- Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human CancersPLoS Medicine, 2006
- Renal-Cell CarcinomaNew England Journal of Medicine, 2005
- Gene Expression Profiling Predicts Survival in Conventional Renal Cell CarcinomaPLoS Medicine, 2005
- Hypoxia-Inducible Protein 2 (HIG2), a Novel Diagnostic Marker for Renal Cell Carcinoma and Potential Target for Molecular TherapyCancer Research, 2005
- Inactivation of the Invasion Inhibitory Gene IIp45 by Alternative Splicing in GliomasCancer Research, 2005
- Robust Classification of Renal Cell Carcinoma Based on Gene Expression Data and Predicted Cytogenetic ProfilesCancer Research, 2004