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

被引:56
作者
Cifola, Ingrid [1 ]
Spinelli, Roberta [1 ,2 ]
Beltrame, Luca [1 ]
Peano, Clelia [2 ]
Fasoli, Ester [3 ]
Ferrero, Stefano [3 ]
Bosari, Silvano [3 ]
Signorini, Stefano [4 ]
Rocco, Francesco [5 ]
Perego, Roberto [6 ]
Proserpio, Vanessa [4 ]
Raimondo, Francesca [6 ]
Mocarelli, Paolo
Battaglia, Cristina [1 ]
机构
[1] Univ Milan, Dept Biomed Sci & Technol, CISI, I-20133 Milan, Italy
[2] CNR, Inst Biomed Technol, Milan, Italy
[3] Univ Milan, San Paolo Hosp, Dept Med Surg & Dent, Anat Pathol Unit, I-20122 Milan, Italy
[4] Univ Milan Bicoca, Desio Hosp, Dept Lab Med, I-20122 Milan, Italy
[5] Univ Milan, IRCCS Policlin, Inst Urol, I-20122 Milan, Italy
[6] Univ Milan Bicoca, Dept Expt Med, Milan, Italy
关键词
D O I
10.1186/1476-4598-7-6
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:12
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