ArticleNature genetics2018
Quantification of subclonal selection in cancer from bulk sequencing data.
Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 157 papers, 1 of them a synthesis that pooled it.
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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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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
157 citing papers in PubMed, 1 synthesis or guideline pooled it, 291 citations in OpenAlex.
- What are the applications of single-cell RNA sequencing in cancer research: a systematic review.Journal of experimental & clinical cancer research : CR · 2021Pooled it
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Article
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- The Evolution of Polyclonal Competition in Aging Hematopoiesis.Cancer discovery · 2026Article
- Fluctuating environment causes neoplastic transition and epithelial-mesenchymal plasticity in human cells.Research square · 2026Article
- LeafRank: A phylodynamic framework for inferring relative fitness from single-cell phylogenies in chromosomally unstable tumors.bioRxiv : the preprint server for biology · 2026Article
- Long-term competition experiments reveal limited adaptive evolution in human cell lines.Scientific reports · 2026Article
- Recurrence in the chemotherapy regimen of bladder carcinoma originates from quiescent epidermoid-like cells.Nature communications · 2026Article
- tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients.NPJ systems biology and applications · 2026Article
- Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning.Genome medicine · 2026Article
- Telomere Crisis Shapes Cancer Evolution.Cold Spring Harbor perspectives in biology · 2026Review
- Competing subclones and fitness diversity shape tumor evolution across cancer types.Bioinformatics (Oxford, England) · 2026Article
- Selective sweep probabilities in spatially expanding populations.Nature communications · 2026Article
- Negative Selection Maintains Grossly Altered but Broadly Stable Karyotypes in Metastatic Colorectal Cancer.Cancer discovery · 2026Article
- Clonal evolution in gastrointestinal cancers: multi-omics insights into tumor heterogeneity, microenvironmental selection, and translational biomarkers.Frontiers in oncology · 2026Review
- General-purpose topology-aware embedding of tumor phylogenetic trees with graph neural networks.Bioinformatics advances · 2026Article
- Epigenetic conservation infers that colorectal cancer progenitors retain the phenotypic plasticity of normal colon.Scientific reports · 2025Article
- Statistical and Evolutionary Analysis of Sequenced DNA from Breast Cancer FFPE Specimens.bioRxiv : the preprint server for biology · 2025Article
- Segregating DNA lesions point to high selective advantage of tumor initiating cells.bioRxiv : the preprint server for biology · 2025Article
97 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Subclonal architectures are prevalent across cancer types. However, the temporal evolutionary dynamics that produce tumor subclones remain unknown. Here we measure clone dynamics in human cancers by using computational modeling of subclonal selection and theoretical population genetics applied to high-throughput sequencing data. Our method determined the detectable subclonal architecture of tumor samples and simultaneously measured the selective advantage and time of appearance of each subclone. We demonstrate the accuracy of our approach and the extent to which evolutionary dynamics are recorded in the genome. Application of our method to high-depth sequencing data from breast, gastric, blood, colon and lung cancer samples, as well as metastatic deposits, showed that detectable subclones under selection, when present, consistently emerged early during tumor growth and had a large fitness advantage (>20%). Our quantitative framework provides new insight into the evolutionary trajectories of human cancers and facilitates predictive measurements in individual tumors from widely available sequencing data.
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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.