Observational studyNature communications2020
Multi-site clonality analysis uncovers pervasive heterogeneity across melanoma metastases.
Observational study in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 36 citations in OpenAlex.
- Focused ultrasound for brain metastases.Neuro-oncology advances · 2026Review
- Single-cell lineage tracing maps clonal and transcriptional dynamics in melanoma metastasis.bioRxiv : the preprint server for biology · 2026Article
- Clonal diversity shapes the tumour microenvironment leading to distinct immunotherapy responses in metastatic urothelial carcinoma.Nature communications · 2025Article
- The Role of Human Endogenous Retroviruses in the Initiation and Progression of Melanoma.Biomedicines · 2025Review
- Tracking the Evolution of Cutaneous Melanoma by Multiparameter Flow Sorting and Genomic Profiling.International journal of molecular sciences · 2025Article
- When does a melanoma metastasize? Implications for management.Oncotarget · 2024Review
- Islands of genomic stability in the face of genetically unstable metastatic cancer.bioRxiv : the preprint server for biology · 2024Article
- Article
- Neoantigen Targetability in Progressive Advanced Melanoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- Late-Stage Metastatic Melanoma Emerges through a Diversity of Evolutionary Pathways.Cancer discovery · 2023Article
- Isogenic Cell Lines Derived from Specific Organ Metastases Exhibit Divergent Cytogenomic Aberrations.Cancers · 2023Article
- Article
- Decoding molecular programs in melanoma brain metastases.Nature communications · 2022Article
- Clonal diversification and histogenesis of malignant germ cell tumours.Nature communications · 2022Article
- Heterogeneity in Melanoma.Cancers · 2022Review
- Article
- Cooperation between melanoma cell states promotes metastasis through heterotypic cluster formation.Developmental cell · 2021Article
- Review
- Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution.Cancer discovery · 2021Article
- Functional genomics approaches to improve pre-clinical drug screening and biomarker discovery.EMBO molecular medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 8 institutions in 2 countries.
Funding
Abstract
Metastatic melanoma carries a poor prognosis despite modern systemic therapies. Understanding the evolution of the disease could help inform patient management. Through whole-genome sequencing of 13 melanoma metastases sampled at autopsy from a treatment naïve patient and by leveraging the analytical power of multi-sample analyses, we reveal evidence of diversification among metastatic lineages. UV-induced mutations dominate the trunk, whereas APOBEC-associated mutations are found in the branches of the evolutionary tree. Multi-sample analyses from a further seven patients confirmed that lineage diversification was pervasive, representing an important mode of melanoma dissemination. Our analyses demonstrate that joint analysis of cancer cell fraction estimates across multiple metastases can uncover previously unrecognised levels of tumour heterogeneity and highlight the limitations of inferring heterogeneity from a single biopsy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.