ArticleNature communications2021
Chromosomal copy number heterogeneity predicts survival rates across cancers.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Trial
- Benchmarking copy number alteration inference methods for spatial transcriptomics.Nature communications · 2026Article
- Charting intratumor heterogeneity from bench to bedside.Nature cancer · 2026Review
- A tumour-host feed-forward loop contributes to the growth of chromosomal instability-induced tumours.EMBO reports · 2026Article
- A novel prognostic biomarker combiningOncology letters · 2026Article
- Somatic copy number variation as a prognostic marker for recurrence in never-smokers with early-stage lung adenocarcinoma.International journal of cancer · 2026Article
- Pervasive chromosomal instability drives the karyotypic evolution of hypodiploid tumours.Genome medicine · 2026Article
- Pre-operative risk assessment of hepatocellular carcinoma recurrence in liver transplant recipients by non-invasive detection of pre-existing genetic lesions.Clinical and molecular hepatology · 2026Article
- TONSOKU prevents the formation of large tandem duplications and restrains ATR-WEE1 checkpoint activation.Nature communications · 2026Article
- Replication stress increases de novo CNVs across the malaria parasite genome.Nucleic acids research · 2026Article
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Evolutionary trajectories of IDH-mutant astrocytoma identify molecular grading markers related to cell cycling.Nature cancer · 2025Article
- Replication stress increases de novo CNVs across the malaria parasite genome.bioRxiv : the preprint server for biology · 2025Article
- Direct long-read visualization reveals hidden variation in GCH1 gene copy number and precise expansion steps.BMC genomics · 2025Article
- Selective identification of polyploid hepatocellular carcinomas with poor prognosis by artificial intelligence-based pathological image recognition.Communications medicine · 2025Article
- Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratification.Nature communications · 2025Article
- Longitudinal and multisite sampling reveals mutational and copy number evolution in tumors during metastatic dissemination.Nature genetics · 2025Article
- Clonal dispersal is associated with tumor heterogeneity and poor prognosis in colorectal cancer.iScience · 2025Article
- Cancer immune evasion, immunoediting and intratumour heterogeneity.Nature reviews. Immunology · 2025Review
- Chromosomal Instability and Clonal Heterogeneity in Breast Cancer: From Mechanisms to Clinical Applications.Cancers · 2025Review
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Authors and funding
18 authors.
Funding
Abstract
Survival rates of cancer patients vary widely within and between malignancies. While genetic aberrations are at the root of all cancers, individual genomic features cannot explain these distinct disease outcomes. In contrast, intra-tumour heterogeneity (ITH) has the potential to elucidate pan-cancer survival rates and the biology that drives cancer prognosis. Unfortunately, a comprehensive and effective framework to measure ITH across cancers is missing. Here, we introduce a scalable measure of chromosomal copy number heterogeneity (CNH) that predicts patient survival across cancers. We show that the level of ITH can be derived from a single-sample copy number profile. Using gene-expression data and live cell imaging we demonstrate that ongoing chromosomal instability underlies the observed heterogeneity. Analysing 11,534 primary cancer samples from 37 different malignancies, we find that copy number heterogeneity can be accurately deduced and predicts cancer survival across tissues of origin and stages of disease. Our results provide a unifying molecular explanation for the different survival rates observed between cancer types.
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