ReviewCurrent biology : CB2012
Cancer in light of experimental evolution.
Review in Current biology : CB, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed.
- Review
- Unravelling the Complexity of Colorectal Cancer: Heterogeneity, Clonal Evolution, and Clinical Implications.Cancers · 2023Review
- Adaptation in Outbred Sexual Yeast is Repeatable, Polygenic and Favors Rare Haplotypes.Molecular biology and evolution · 2022Article
- Population genetics of clonally transmissible cancers.Nature ecology & evolution · 2022Review
- Temporal evolution of master regulator Crp identifies pyrimidines as catabolite modulator factors.Nature communications · 2021Article
- Stochastic gene expression drives mesophyll protoplast regeneration.Science advances · 2021Article
- A phenotypic switch in the dispersal strategy of breast cancer cells selected for metastatic colonization.Proceedings. Biological sciences · 2020Article
- A Similar Speciation Process Relying on Cellular Stochasticity in Microbial and Cancer Cell Populations.iScience · 2020Review
- Application of simultaneous selective pressures slows adaptation.Evolutionary applications · 2020Article
- Synthetic hybrids of six yeast species.Nature communications · 2020Article
- Genetic heterogeneity and clonal evolution during metastasis in breast cancer patient-derived tumor xenograft models.Computational and structural biotechnology journal · 2020Article
- Fine-grained simulations of the microenvironment of vascularized tumours.Scientific reports · 2019Article
- DNA Damage Stress: Cui Prodest?International journal of molecular sciences · 2019Review
- Genomic clustering of fitness-affecting mutations favors the evolution of chromosomal instability.Evolutionary applications · 2019Article
- Clonal evolution and genome stability in a 2500-year-old fungal individual.Proceedings. Biological sciences · 2018Article
- Combining Mutational Signatures, Clonal Fitness, and Drug Affinity to Define Drug-Specific Resistance Mutations in Cancer.Cell chemical biology · 2018Article
- Mutational Intratumor Heterogeneity is a Complex and Early Event in the Development of Adult T-cell Leukemia/Lymphoma.Neoplasia (New York, N.Y.) · 2018Article
- Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.Microbiology and molecular biology reviews : MMBR · 2018Review
- Turning natural adaptations to oncogenic factors into an ally in the war against cancer.Evolutionary applications · 2018Article
- Cancer progression models and fitness landscapes: a many-to-many relationship.Bioinformatics (Oxford, England) · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Cancer initiation, progression, and the emergence of therapeutic resistance are evolutionary phenomena of clonal somatic cell populations. Studies in microbial experimental evolution and the theoretical work inspired by such studies are yielding deep insights into the evolutionary dynamics of clonal populations, yet there has been little explicit consideration of the relevance of this rapidly growing field to cancer biology. Here, we examine how the understanding of mutation, selection, and spatial structure in clonal populations that is emerging from experimental evolution may be applicable to cancer. Along the way, we discuss some significant ways in which cancer differs from the model systems used in experimental evolution. Despite these differences, we argue that enhanced prediction and control of cancer may be possible using ideas developed in the context of experimental evolution, and we point out some prospects for future research at the interface between these traditionally separate areas.
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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.