ReviewNature reviews. Cancer2014
Turning ecology and evolution against cancer.
Review in Nature reviews. Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 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
133 citing papers in PubMed.
- Tumor ecology and the paradox of clean margins in multicentric breast cancer: an exploratory organoid-based functional study.Breast cancer research : BCR · 2026Review
- Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- Transition from traveling fronts to diffusion-limited growth in expanding populations.Physical review. E · 2026Article
- Article
- Article
- Selection for Function in Complex Distributed Pathological Systems.Evolutionary applications · 2026Article
- The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026Article
- Deformations of acid-mediated invasive tumors in a model with Allee effect.Journal of mathematical biology · 2025Article
- Article
- Leveraging selection for function in tumor evolution: System-level cancer therapies.Evolution, medicine, and public health · 2025Article
- Modeling tumors as complex ecosystems.iScience · 2024Review
- FateNet: an integration of dynamical systems and deep learning for cell fate prediction.Bioinformatics (Oxford, England) · 2024Article
- Range expansions across landscapes with quenched noise.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Frequency-dependent selection of neoantigens fosters tumor immune escape and predicts immunotherapy response.Communications biology · 2024Article
- Article
- Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024Article
- Article
- Synergistic epistasis among cancer drivers can rescue early tumors from the accumulation of deleterious passengers.PLoS computational biology · 2024Article
- Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance.bioRxiv : the preprint server for biology · 2024Article
- In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil.Evolutionary applications · 2024Article
73 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The fight against cancer has drawn researchers from a wide variety of disciplines, ranging from molecular biology to physics, but the perspective of an ecological theorist has been mostly overlooked. By thinking about the cells that make up a tumour as an endangered species, cancer vulnerabilities become more apparent. Studies in conservation biology and microbial experiments indicate that extinction is a complex phenomenon, which is often driven by the interaction of ecological and evolutionary processes. Recent advances in cancer research have shown that tumours, like species striving for survival, harbour intricate population dynamics, which suggests the possibility to exploit the ecology of tumours for treatment.
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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.