ArticleNature ecology & evolution2022
Spatial structure governs the mode of tumour evolution.
Article in Nature ecology & evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
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Who cites it
87 citing papers in PubMed.
- A microbial therapy-mimicry assay shows how spatial resource dynamics control resistance escape.Nature ecology & evolution · 2026Article
- Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.Oncogene · 2026Article
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- Benchmarking copy number alteration inference methods for spatial transcriptomics.Nature communications · 2026Article
- Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumor growth and metastasis.Nature genetics · 2026Article
- Agent-Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Fluctuating DNA methylation sites encode colorectal tumour growth history.bioRxiv : the preprint server for biology · 2026Article
- Long-term competition experiments reveal limited adaptive evolution in human cell lines.Scientific reports · 2026Article
- A new cancer progression model: From synthetic tumors to real data and back.PLoS computational biology · 2026Article
- tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients.NPJ systems biology and applications · 2026Article
- Genetic barcoding uncovers the clonal makeup of solid and liquid biopsies and their ability to capture intra-tumoral heterogeneity.Molecular systems biology · 2026Article
- Selective sweep probabilities in spatially expanding populations.Nature communications · 2026Article
- Strength through diversity: how cancers thrive when clones cooperate.Molecular oncology · 2026Review
- A hybrid Ornstein-Uhlenbeck-Branching framework unifies microbial and pediatric tumor evolution.Frontiers in oncology · 2026Article
- Spatially Discontinuous Mutation Topographies in Ductal Carcinoma In Situ Reveal Noncompetitive Growth Dynamics.Cancer research · 2025Article
- Fibroblasts in the tumor microenvironment: heterogeneity and dynamic interactions in tumor progression revealed by spatial transcriptomics.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- Uncovering the role of RNA binding proteins in colorectal cancer through single-cell transcriptomic analysis.Scientific reports · 2025Article
- Extrachromosomal DNA-Driven Oncogene Spatial Heterogeneity and Evolution in Glioblastoma.Cancer discovery · 2025Article
- Spatiotemporal microenvironment landscape and malignant epithelial pattern transition in breast ductal carcinoma progression.Journal of translational medicine · 2025Article
27 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
Abstract
Characterizing the mode-the way, manner or pattern-of evolution in tumours is important for clinical forecasting and optimizing cancer treatment. Sequencing studies have inferred various modes, including branching, punctuated and neutral evolution, but it is unclear why a particular pattern predominates in any given tumour. Here we propose that tumour architecture is key to explaining the variety of observed genetic patterns. We examine this hypothesis using spatially explicit population genetics models and demonstrate that, within biologically relevant parameter ranges, different spatial structures can generate four tumour evolutionary modes: rapid clonal expansion, progressive diversification, branching evolution and effectively almost neutral evolution. Quantitative indices for describing and classifying these evolutionary modes are presented. Using these indices, we show that our model predictions are consistent with empirical observations for cancer types with corresponding spatial structures. The manner of cell dispersal and the range of cell-cell interactions are found to be essential factors in accurately characterizing, forecasting and controlling tumour evolution.
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