ReviewCancer control : journal of the Moffitt Cancer Center
How Should Cancer Models Be Constructed?
Review in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 35 citations in OpenAlex.
- Discrete-Event Simulation Modeling Framework for Cancer Interventions and Population Health in R (DESCIPHR): An Open-Source Pipeline.PharmacoEconomics · 2026Article
- Towards evolutionary guided precision medicine of acute myeloid leukemia and Fanconi anemia associated bone marrow failure.Stem cells translational medicine · 2026Article
- Can evolutionary therapy be applied in non-small cell lung cancer?Scientific reports · 2026Article
- Probability Distribution for Rare Neutral Mutations in Cancers and Application to Dynamic Precision Medicine of Cancer.bioRxiv : the preprint server for biology · 2025Article
- Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms.NPJ systems biology and applications · 2025Article
- Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine.JCO precision oncology · 2025Article
- Digital twins in oncology: where we are and where we hope to go.BMJ oncology · 2025Article
- Neutral evolution of rare cancer mutations in the computer and the clinic.NPJ systems biology and applications · 2024Review
- Minimally sufficient experimental design using identifiability analysis.NPJ systems biology and applications · 2024Article
- A war on many fronts: cross disciplinary approaches for novel cancer treatment strategies.Frontiers in genetics · 2024Review
- Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023Review
- Review
- Reply to M. Younes.JCO precision oncology · 2023Article
- Intratumoral and Microenvironmental Heterogeneity in Patient Outcome Prediction.JCO precision oncology · 2023Article
- The world's first digital cell twin in cancer electrophysiology: a digital revolution in cancer research?Journal of experimental & clinical cancer research : CR · 2022Article
- Article
- Optimal Strategy and Benefit of Pulsed Therapy Depend On Tumor Heterogeneity and Aggressiveness at Time of Treatment Initiation.Molecular cancer therapeutics · 2022Article
- Paracrine Behaviors Arbitrate Parasite-Like Interactions Between Tumor Subclones.Frontiers in ecology and evolution · 2021Article
- Predator-Prey in Tumor-Immune Interactions: A Wrong Model or Just an Incomplete One?Frontiers in immunology · 2021Article
- Special Collection on Ecological and Evolutionary Approaches to Cancer Control: Cancer Finds a Conceptual Home.Cancer control : journal of the Moffitt Cancer CenterArticle
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 at 3 institutions in 1 country.
Funding
Abstract
Choosing and optimizing treatment strategies for cancer requires capturing its complex dynamics sufficiently well for understanding but without being overwhelmed. Mathematical models are essential to achieve this understanding, and we discuss the challenge of choosing the right level of complexity to address the full range of tumor complexity from growth, the generation of tumor heterogeneity, and interactions within tumors and with treatments and the tumor microenvironment. We discuss the differences between conceptual and descriptive models, and compare the use of predator-prey models, evolutionary game theory, and dynamic precision medicine approaches in the face of uncertainty about mechanisms and parameter values. Although there is of course no one-size-fits-all approach, we conclude that broad and flexible thinking about cancer, based on combined modeling approaches, will play a key role in finding creative and improved treatments.
Indexed as
Identifiers
What OpenQuestion holds
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.