ReviewCold Spring Harbor perspectives in medicine2020
The Evolution and Ecology of Resistance in Cancer Therapy.
Review in Cold Spring Harbor perspectives in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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
20 citing papers in PubMed.
- A Phase I Dose-Escalation/Expansion Study of Fractionated-Dose and Multiple-Cycle Anti-PSMA-Targeted α-Emitter 225Ac-J591 in Patients with Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Metastasis as a breakdown of the multicellular social contract.Cancer metastasis reviews · 2026Review
- Beyond Darwin: reactive heredity, burst-drift dynamics and eco‑evolutionary control of cancer.Molecular cancer · 2026Review
- Modeling VEGF and GLUT1 Expression as Coadapted Foraging Strategies in Cancer.bioRxiv : the preprint server for biology · 2026Article
- Migrastatic therapy as a potential game-changer in adaptive cancer treatment.Scientific reports · 2026Article
- Cancer, collapse, and the politics of somatic evolution.Evolution, medicine, and public health · 2026Review
- Targeting Tumour Heterogeneity through sequential timing of anti-hallmark combination therapies -a hypothesis for implementation.Frontiers in immunology · 2026Review
- Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence.Clinical Medicine Insights. Oncology · 2025Review
- Complementary strategies in pancreatic cancer precision medicine: therapeutic prediction and immune modulation.Frontiers in oncology · 2025Review
- Increased spatial coupling of integrin and collagen IV in the immunoresistant clear-cell renal-cell carcinoma tumor microenvironment.Genome biology · 2024Article
- Resistance Management for Cancer: Lessons from Farmers.Cancer research · 2024Review
- Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.Cancer research · 2024Article
- METTL3-mediated mEpigenetics · 2023Article
- Testing Adaptive Therapy Protocols using Gemcitabine and Capecitabine on a Mouse Model of Endocrine-Resistant Breast Cancer.bioRxiv : the preprint server for biology · 2023Article
- Cell facilitation promotes growth and survival under drug pressure in breast cancer.Nature communications · 2023Article
- Resistance to DNA repair inhibitors in cancer.Molecular oncology · 2022Review
- Increased risk of cancer in dogs and humans: a consequence of recent extension of lifespan beyond evolutionarily-determined limitations?Aging and cancer · 2022Article
- Spatial structure impacts adaptive therapy by shaping intra-tumoral competition.Communications medicine · 2022Article
- Capitalizing on competition: An evolutionary model of competitive release in metastatic castration resistant prostate cancer treatment.Journal of theoretical biology · 2018Article
- Adaptive Control of Tumor Growth.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Despite the continuous deployment of new treatment strategies and agents over many decades, most disseminated cancers remain fatal. Cancer cells, through their access to the vast information of the human genome, have a remarkable capacity to deploy adaptive strategies for even the most effective treatments. We note there are two critical steps in the clinical manifestation of treatment resistance. The first, which is widely investigated, requires molecular machinery necessary to eliminate the cytotoxic effect of the treatment. However, the emergence of a resistant phenotype is not in itself clinically significant. That is, resistant cells affect patient outcomes only when they succeed in the second step of resistance by proliferating into a sufficiently large population to allow tumor progression and treatment failure. Importantly, proliferation of the resistant phenotype is by no means certain and, in fact, depends on complex Darwinian dynamics governed by the costs and benefits of the resistance mechanisms in the context of the local environment and competing populations. Attempts to target the molecular machinery of resistance have had little clinical success largely because of the diversity within the human genome-therapeutic interruption of one mechanism simply results in its replacement by an alternative. Here we explore evolutionarily informed strategies (adaptive, double-bind, and extinction therapies) for overcoming treatment resistance that seek to understand and exploit the critical evolutionary dynamics that govern proliferation of the resistant phenotypes. In general, this approach has demonstrated that, while emergence of resistance mechanisms in cancer cells to every current therapy is inevitable, proliferation of the resistant phenotypes is not and can be delayed and even prevented with sufficient understanding of the underlying eco-evolutionary dynamics.
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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.