ArticleCurrent opinion in systems biology2019
Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution.
Article in Current opinion in systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
The trial behind it
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Who cites it
17 citing papers in PubMed.
- Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- SISTEM: simulation of tumor evolution, metastasis, and DNA-seq data under genotype-driven selection.Bioinformatics (Oxford, England) · 2025Article
- Extracellular matrix dynamics in tumor immunoregulation: from tumor microenvironment to immunotherapy.Journal of hematology & oncology · 2025Review
- Mathematical models of intercellular signaling in breast cancer.Seminars in cancer biology · 2025Review
- Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Article
- Intervention Approaches in Studying the Response to Vitamin DNutrients · 2023Review
- Unified tumor growth mechanisms from multimodel inference and dataset integration.PLoS computational biology · 2023Article
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Concepts of multi-level dynamical modelling: understanding mechanisms of squamous cell carcinoma development in Fanconi anemia.Frontiers in genetics · 2023Article
- Multiscale modeling in disease.Current opinion in systems biology · 2021Article
- An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.PLoS biology · 2021Article
- Reciprocal interactions between tumour cell populations enhance growth and reduce radiation sensitivity in prostate cancer.Communications biology · 2021Article
- Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.Frontiers in oncology · 2021Review
- Modeling How Heterogeneity in Cell Cycle Length Affects Cancer Cell Growth Dynamics in Response to Treatment.Frontiers in oncology · 2020Article
- Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers.PLoS computational biology · 2019Article
- Polyester nanoparticles delivering chemotherapeutics: Learning from the past and looking to the future to enhance their clinical impact in tumor therapy.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Cancer is a complex, dynamic disease that despite recent advances remains mostly incurable. Inter- and intratumoral heterogeneity are generally considered major drivers of therapy resistance, metastasis, and treatment failure. Recent advances in high-throughput experimentation have produced a wealth of data on tumor heterogeneity and researchers are increasingly turning to mathematical modeling to aid in the interpretation of these complex datasets. In this mini-review, we discuss three important classes of approaches for modeling cellular dynamics within heterogeneous tumors: agent-based models, population dynamics, and multiscale models. An important new focus, for which we provide an example, is the role of intratumoral cell-cell interactions.
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Registered trials
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