ArticleCurrent opinion in systems biology2019
Cancer Ecology and Evolution: Positive interactions and system vulnerability.
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 13 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
13 citing papers in PubMed.
- A novel combination therapy for ER+ breast cancer suppresses drug resistance via an evolutionary double-bind.Molecular systems biology · 2026Article
- Serum from patients with oral squamous cell carcinoma remodels the tumor immune escape ecological niche by promoting regulatory T‑cell differentiation and T‑cell exhaustion.Oncology reports · 2025Article
- Review
- Mathematical models of intercellular signaling in breast cancer.Seminars in cancer biology · 2025Review
- Modeling tumors as complex ecosystems.iScience · 2024Review
- A modelling framework for cancer ecology and evolution.Journal of the Royal Society, Interface · 2024Article
- Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024Article
- "Patchiness" in mechanical stiffness across a tumor as an early-stage marker for malignancy.BMC ecology and evolution · 2024Article
- Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023Article
- The tumour immune microenvironment in oesophageal cancer.British journal of cancer · 2021Review
- Searching for Goldilocks: How Evolution and Ecology Can Help Uncover More Effective Patient-Specific Chemotherapies.Cancer research · 2020Review
- Eco-oncology: Applying ecological principles to understand and manage cancer.Ecology and evolution · 2020Review
- 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
2 authors.
Funding
Abstract
Parallels of cancer with ecology and evolution have provided new insights into the initiation and spread of cancer, and new approaches to therapy. This review describes those parallels while emphasizing some key contrasts. We argue that cancers are less like invasive species than like native species or even crops that have escaped control, and that ecological control and homeo-static control differ fundamentally through both their ends and their means. From our focus on the role of positive interactions in control processes, we introduce a novel mathematical modeling framework that tracks how individual cell lineages arise, and how the many layers of control break down in the emergence of cancer. The next generation of therapies must continue to look beyond cancers as being created by individual renegade cells and address not only the network of interactions those cells inhabit, but the evolutionary logic that created those interactions and their intrinsic vulnerability.
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.