ArticleCancers2022
Clone Phylogenetics Reveals Metastatic Tumor Migrations, Maps, and Models.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed, 9 citations in OpenAlex.
- Full spatio-temporal analyses of migration and colonization in evolution-dense 3D mapping of cancer metastases provides new insights.Molecular biology and evolution · 2026Article
- Consensus statements on the definition, diagnosis, and management of oligoprogressive disease: results of an expert survey of Kazakhstan Cancer Society.Exploration of targeted anti-tumor therapy · 2026Article
- Evolutionary dynamics of early and late mutational signatures in metastatic cancer.Frontiers in bioinformatics · 2026Article
- Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis.Communications biology · 2025Article
- Molecular Underpinnings of Brain Metastases.International journal of molecular sciences · 2025Review
- Investigating the genomic landscape of mouse models of breast cancer metastasis.bioRxiv : the preprint server for biology · 2025Article
- Resolving tumor evolution: a phylogenetic approach.Journal of the National Cancer Center · 2024Review
- Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools.Journal of molecular evolution · 2023Review
- Improving cellular phylogenies through the integrated use of mutation order and optimality principles.Computational and structural biotechnology journal · 2023Article
- Bootstrap confidence for molecular evolutionary estimates from tumor bulk sequencing data.Frontiers in bioinformatics · 2023Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Dispersal routes of metastatic cells are not medically detected or even visible. A molecular evolutionary analysis of tumor variation provides a way to retrospectively infer metastatic migration histories and answer questions such as whether the majority of metastases are seeded from clones within primary tumors or seeded from clones within pre-existing metastases, as well as whether the evolution of metastases is generally consistent with any proposed models. We seek answers to these fundamental questions through a systematic patient-centric retrospective analysis that maps the dynamic evolutionary history of tumor cell migrations in many cancers. We analyzed tumor genetic heterogeneity in 51 cancer patients and found that most metastatic migration histories were best described by a hybrid of models of metastatic tumor evolution. Synthesizing across metastatic migration histories, we found new tumor seedings arising from clones of pre-existing metastases as often as they arose from clones from primary tumors. There were also many clone exchanges between the source and recipient tumors. Therefore, a molecular phylogenetic analysis of tumor variation provides a retrospective glimpse into general patterns of metastatic migration histories in cancer patients.
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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.