Comparative genomic hybridization was used to screen the DNA extracted from histologically defined tissue sections from consecutive stages of colorectal carcinogenesis for chromosomal aberrations. N o aberrations were detected in normal epithelium (n = 14). Gain of chromosome 7 occurred as a single
Stage-specific alterations of the genome, transcriptome, and proteome during colorectal carcinogenesis
✍ Scribed by Jens K. Habermann; Ulrike Paulsen; Uwe J. Roblick; Madhvi B. Upender; Lisa M. McShane; Edward L. Korn; Danny Wangsa; Stefan Krüger; Michael Duchrow; Hans-Peter Bruch; Gert Auer; Thomas Ried
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 729 KB
- Volume
- 46
- Category
- Article
- ISSN
- 1045-2257
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✦ Synopsis
Abstract
To identify sequential alterations of the genome, transcriptome, and proteome during colorectal cancer progression, we have analyzed tissue samples from 36 patients, including the complete mucosa‐adenoma‐carcinoma sequence from 8 patients. Comparative genomic hybridization (CGH) revealed patterns of stage specific, recurrent genomic imbalances. Gene expression analysis on 9K cDNA arrays identified 58 genes differentially expressed between normal mucosa and adenoma, 116 genes between adenoma and carcinoma, and 158 genes between primary carcinoma and liver metastasis (P < 0.001). Parallel analysis of our samples by CGH and expression profiling revealed a direct correlation of chromosomal copy number changes with chromosome‐specific average gene expression levels. Protein expression was analyzed by two‐dimensional gel electrophoresis and subsequent mass spectrometry. Although there was no direct match of differentially expressed proteins and genes, the majority of them belonged to identical pathways or networks. In conclusion, increasing genomic instability and a recurrent pattern of chromosomal imbalances as well as specific gene and protein expression changes correlate with distinct stages of colorectal cancer progression. Chromosomal aneuploidies directly affect average resident gene expression levels, thereby contributing to a massive deregulation of the cellular transcriptome. The identification of novel genes and proteins might deliver molecular targets for diagnostic and therapeutic interventions. © Wiley‐Liss, Inc.
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