ReviewNature reviews. Cancer2010
Dissecting cancer through mathematics: from the cell to the animal model.
Review in Nature reviews. Cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 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
161 citing papers in PubMed.
- Matrigel-embedded 3D culture maintains stemness and enhances hair-inductive capacity of human hair follicle epithelial stem cells.Regenerative therapy · 2026Article
- Review
- A new cancer progression model: From synthetic tumors to real data and back.PLoS computational biology · 2026Article
- Fractional spatiotemporal Hahnfeldt tumor model with convergence analysis and optimal control.Scientific reports · 2026Article
- 75 Years of Mathematical Oncology.bioRxiv : the preprint server for biology · 2026Article
- A review on in-silico analysis of immune cell trafficking and interactions with the tumour microenvironment.Frontiers in oncology · 2026Review
- Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics.PloS one · 2026Article
- Review
- Volumetric CT Assessment of In Situ Induced Hepatic Lesions in a Transgenic Swine Model.Life (Basel, Switzerland) · 2024Article
- Modeling tumors as complex ecosystems.iScience · 2024Review
- Linking discrete and continuous models of cell birth and migration.Royal Society open science · 2024Article
- Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites.PLoS computational biology · 2024Article
- Discrete and continuous mathematical models of sharp-fronted collective cell migration and invasion.Royal Society open science · 2024Article
- Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024Article
- Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology.Briefings in bioinformatics · 2024Article
- Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges.Pharmaceutics · 2024Review
- Real-Time Cell Cycle Imaging in a 3D Cell Culture Model of Melanoma, Quantitative Analysis, Optical Clearing, and Mathematical Modeling.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Connecting Agent-Based Models with High-Dimensional Parameter Spaces to Multidimensional Data Using SMoRe ParS: A Surrogate Modeling Approach.Bulletin of mathematical biology · 2023Article
- Mathematical modeling of BCG-based bladder cancer treatment using socio-demographics.Scientific reports · 2023Article
- Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023Review
101 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This Timeline article charts progress in mathematical modelling of cancer over the past 50 years, highlighting the different theoretical approaches that have been used to dissect the disease and the insights that have arisen. Although most of this research was conducted with little involvement from experimentalists or clinicians, there are signs that the tide is turning and that increasing numbers of those involved in cancer research and mathematical modellers are recognizing that by working together they might more rapidly advance our understanding of cancer and improve its treatment.
Indexed as
Identifiers
20179714What 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.