ArticleNature communications2017
Reconstructing metastatic seeding patterns of human cancers.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.
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Who cites it
100 citing papers in PubMed.
- Patterns of Recurrence After Resection of Pancreatic Ductal Adenocarcinoma: A Secondary Analysis of the ESPAC-4 Randomized Adjuvant Chemotherapy Trial.JAMA surgery · 2019Trial
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- [Evolution of metastases in non-small-cell lung cancer: preliminary results from the TRACERx-PEACE study].Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- The tree labeling polytope: A unified approach to ancestral reconstruction problems.Cell systems · 2026Article
- Convergence for Inactivation of TGFβ Signaling Is a Common Feature of Advanced Pancreatic Cancer.Cancer discovery · 2026Article
- Article
- A longitudinal, multi-omic atlas reveals the emergence of a spatially organized immunosuppressive ecosystem in resistant melanoma.Cell reports. Medicine · 2026Article
- Spatial tumor evolution panorama of ovarian cancer.Cell reports. Medicine · 2026Article
- Inferring cancer type-specific patterns of metastatic spread using Metient.Nature methods · 2026Article
- Cancer evolution and multi-omic profile of relapsed colorectal liver metastases after treatment.Genome medicine · 2026Article
- Clonal evolution in gastrointestinal cancers: multi-omics insights into tumor heterogeneity, microenvironmental selection, and translational biomarkers.Frontiers in oncology · 2026Review
- Spatially Discontinuous Mutation Topographies in Ductal Carcinoma In Situ Reveal Noncompetitive Growth Dynamics.Cancer research · 2025Article
- CDKN2A homozygous deletions and TSC2 somatic mutations in metastatic pancreatic neuroendocrine tumors.NPJ precision oncology · 2025Article
- The Noncoding Mutational Landscape of Pancreatic Cancer Reveals Recurrent Somatic Mutations in Enhancer Regions.Cancer research communications · 2025Article
- Intrapatient genomic divergence across multiple primary tumors in young Korean patients.Korean journal of clinical oncology · 2025Article
- Longitudinal pharmacogenomic analysis of refractory lung cancer to identify therapeutic candidates for epidermal growth factor receptor-tyrosine kinase inhibitor resistance subclones.Experimental & molecular medicine · 2025Article
- Cancer cells restrict immunogenicity of retrotransposon expression via distinct mechanisms.Immunity · 2024Article
- Molecular evolution of intestinal-type early gastric cancer according to Correa cascade.Journal of biomedical research · 2024Article
- Genomic profiling of a multi-lineage and multi-passage patient-derived xenograft biobank reflects heterogeneity of ovarian cancer.Cell reports. Medicine · 2024Article
- Review
40 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
Reconstructing the evolutionary history of metastases is critical for understanding their basic biological principles and has profound clinical implications. Genome-wide sequencing data has enabled modern phylogenomic methods to accurately dissect subclones and their phylogenies from noisy and impure bulk tumour samples at unprecedented depth. However, existing methods are not designed to infer metastatic seeding patterns. Here we develop a tool, called Treeomics, to reconstruct the phylogeny of metastases and map subclones to their anatomic locations. Treeomics infers comprehensive seeding patterns for pancreatic, ovarian, and prostate cancers. Moreover, Treeomics correctly disambiguates true seeding patterns from sequencing artifacts; 7% of variants were misclassified by conventional statistical methods. These artifacts can skew phylogenies by creating illusory tumour heterogeneity among distinct samples. In silico benchmarking on simulated tumour phylogenies across a wide range of sample purities (15-95%) and sequencing depths (25-800 × ) demonstrates the accuracy of Treeomics compared with existing methods.
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