ReviewiScience2024
Modeling tumors as complex ecosystems.
Review in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Inflammation and carcinogenesis: molecular targets and small-molecule intervention strategies.Journal of enzyme inhibition and medicinal chemistry · 2026Review
- Spatial Configuration of Pancreatic Cancer Is Associated with Disease Recurrence after Neoadjuvant Therapy and Curative-Intent Resection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Reprogramming the Tumor Oncobiosphere: Bioactive Nanohybrid Materials for Reversing Therapeutic Pseudo-Resistance.ACS omega · 2026Review
- Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release.Bulletin of mathematical biology · 2026Article
- The Shape-Shifting Myeloma: Adaptive Plasticity as a Hallmark of Relapse and Refractoriness.Cancers · 2026Review
- A new cancer progression model: From synthetic tumors to real data and back.PLoS computational biology · 2026Article
- Cancer Evolvability Determines Therapy Outcomes.bioRxiv : the preprint server for biology · 2026Article
- The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026Article
- Understanding cancer as a systemic disease through comprehension of neural stemness as the core property of cancer cell and the basic rules it dictates.Frontiers in cell and developmental biology · 2026Review
- Article
- A Systematic Review of Evidence for the Cost of Therapeutic Resistance in Cancer.bioRxiv : the preprint server for biology · 2025Article
- Data-driven universal insights into tumorigenesis via hallmark networks.NPJ systems biology and applications · 2025Article
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.Computers in biology and medicine · 2025Article
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.bioRxiv : the preprint server for biology · 2025Article
- Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025Article
- Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?Dynamic games and applications · 2025Article
- Colorectal cancer as a complex adaptive system: integrating the hallmarks of cancer with complexity theory.Frontiers in oncology · 2025Article
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.bioRxiv : the preprint server for biology · 2024Article
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.
Funding
Abstract
Many cancers resist therapeutic intervention. This is fundamentally related to intratumor heterogeneity: multiple cell populations, each with different phenotypic signatures, coexist within a tumor and its metastases. Like species in an ecosystem, cancer populations are intertwined in a complex network of ecological interactions. Most mathematical models of tumor ecology, however, cannot account for such phenotypic diversity or predict its consequences. Here, we propose that the generalized Lotka-Volterra model (GLV), a standard tool to describe species-rich ecological communities, provides a suitable framework to model the ecology of heterogeneous tumors. We develop a GLV model of tumor growth and discuss how its emerging properties provide a new understanding of the disease. We discuss potential extensions of the model and their application to phenotypic plasticity, cancer-immune interactions, and metastatic growth. Our work outlines a set of questions and a road map for further research in cancer ecology.
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.