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Pan-cancer driver copy number alterations identified by joint expression/CNA data analysis
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DOI：10.1038/s41598-020-74276-6.png)
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Abstract
En 中文
Analysis of large gene expression datasets from biopsies of cancer patients can identify co-expression signatures representing particular biomolecular events in cancer. Some of these signatures involve genomically co-localized genes resulting from the presence of copy number alterations (CNAs), for which analysis of the expression of the underlying genes provides valuable information about their combined role as oncogenes or tumor suppressor genes. Here we focus on the discovery and interpretation of such signatures that are present in multiple cancer types due to driver amplifications and deletions in particular regions of the genome after doing a comprehensive analysis combining both gene expression and CNA data from The Cancer Genome Atlas.
Keywords:
BREAST-CANCER
TUMOR-SUPPRESSOR
POOR-PROGNOSIS
CHROMOSOMAL INSTABILITY
AMPLIFICATION TARGET
THERAPEUTIC TARGET
GENE COEXPRESSION
PROMOTES
GROWTH
PATTERNS
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