ArticleNucleic acids research2025
Low-amplitude copy number gains shape cancer through known and novel oncogenes with associated therapeutic vulnerabilities.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Impact of Circulating Tumor DNA and Copy-Number Alterations on Clinical Outcome in Relapsed/Refractory Germ Cell Tumors Treated With Salvage High-Dose Chemotherapy.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026Article
- Gene amplification in the premalignant stages of non-small cell lung cancer development.Frontiers in oncology · 2026Review
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Authors and funding
3 authors.
Funding
Abstract
Large chromosomal copy number gains are ubiquitous throughout cancer types. However, which genes drive their selective advantage is not well established, and therefore they are hardly utilized in clinical practice. Our analysis of copy number patterns in pan-cancer datasets suggests that the selective advantage of copy number gains is largely driven by known oncogenes. Analysis of CRISPR screening data identifies a list of 101 genes that are likely to mediate the effect of these gains, which is highly enriched in annotated oncogenes but also contains genes that have not been implicated in cancer so far. Moreover, we show that specific gains are associated with drug sensitivity or resistance, with a strong enrichment of gains of oncogenes with increased sensitivity to inhibitors targeting these specific genes. Finally, we provide examples where gains can function as relevant clinical biomarkers for diagnosis and treatment. Thus, large copy number gains exert their selective advantage through known and novel oncogenes, and their systematic analysis could advance precision oncology.
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