ArticleScientific reports2020
Pan-cancer driver copy number alterations identified by joint expression/CNA data analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Altered Expression of Mitochondrial Succinate Dehydrogenase Subunit D Influences Breast Cancer Progression.International journal of molecular sciences · 2026Article
- HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data.Genome biology · 2024Article
- Completing a genomic characterisation of microscopic tumour samples with copy number.BMC bioinformatics · 2023Article
- HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data.bioRxiv : the preprint server for biology · 2023Article
- Cancer genomes tolerate deleterious coding mutations through somatic copy number amplifications of wild-type regions.Nature communications · 2023Article
- Article
- CiberAMP: AnBiology · 2022Article
- Copy number alterations and epithelial‑mesenchymal transition genes in diffuse and intestinal gastric cancers in Mexican patients.Molecular medicine reports · 2022Article
- 27-Hydroxycholesterol, The Estrogen Receptor Modulator, Alters DNA Methylation in Breast Cancer.Frontiers in endocrinology · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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