ArticleCancer research2017
Integrating Models to Quantify Environment-Mediated Drug Resistance.
Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
- Navigating the Challenges of Metallopharmaceutical Agents: Strategies and Predictive Modeling for Skin Cancer Therapy.Pharmaceutics · 2026Review
- Cancer model with moving extinction threshold reproduces real cancer data.Journal of the Royal Society, Interface · 2025Article
- The role of environmentally mediated drug resistance in facilitating the spatial distribution of residual disease.Communications biology · 2025Article
- Modeling critical dosing strategies for stromal-induced resistance to cancer therapy.NPJ systems biology and applications · 2025Article
- Dissecting the Spatially Restricted Effects of Microenvironment-Mediated Resistance on Targeted Therapy Responses.Cancers · 2024Article
- The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease.Nature communications · 2024Article
- Localized immune surveillance of primary melanoma in the skin deciphered through executable modeling.Science advances · 2023Article
- Review
- Targeting of Evolutionarily Acquired Cancer Cell Phenotype by Exploiting pHi-Metabolic Vulnerabilities.Cancers · 2020Article
- Stromal reactivity differentially drives tumour cell evolution and prostate cancer progression.Nature ecology & evolution · 2020Article
- Computational models of melanoma.Theoretical biology & medical modelling · 2020Review
- Modeling the Human Bone-Tumor Niche: Reducing and Replacing the Need for Animal Data.JBMR plus · 2020Review
- Coloured Noise from Stochastic Inflows in Reaction-Diffusion Systems.Bulletin of mathematical biology · 2020Article
- The double-edged sword role of fibroblasts in the interaction with cancer cells; an agent-based modeling approach.PloS one · 2020Article
- Pharmacodynamic Drug-Drug Interactions.Clinical pharmacology and therapeutics · 2019Review
- Mutual concessions and compromises between stromal cells and cancer cells: driving tumor development and drug resistance.Cellular oncology (Dordrecht, Netherlands) · 2018Review
- Mathematical Modeling of Cortical Neurogenesis Reveals that the Founder Population does not Necessarily Scale with Neurogenic Output.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer.PLoS computational biology · 2018Article
- Mechanotransduction in tumor progression: The dark side of the force.The Journal of cell biology · 2018Review
- Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy.PloS one · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Drug resistance is the single most important driver of cancer treatment failure for modern targeted therapies, and the dialog between tumor and stroma has been shown to modulate the response to molecularly targeted therapies through proliferative and survival signaling. In this work, we investigate interactions between a growing tumor and its surrounding stroma and their role in facilitating the emergence of drug resistance. We used mathematical modeling as a theoretical framework to bridge between experimental models and scales, with the aim of separating intrinsic and extrinsic components of resistance in
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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.