Pan-cancer driver copy number alterations identified by joint expression/CNA data analysis.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
14 10 2020
14 10 2020
Historique:
received:
11
02
2020
accepted:
29
09
2020
entrez:
15
10
2020
pubmed:
16
10
2020
medline:
15
1
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33057153
doi: 10.1038/s41598-020-74276-6
pii: 10.1038/s41598-020-74276-6
pmc: PMC7566486
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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