ReviewCold Spring Harbor perspectives in medicine2017
Homeostasis Back and Forth: An Ecoevolutionary Perspective of Cancer.
Review in Cold Spring Harbor perspectives in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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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.
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Who cites it
28 citing papers in PubMed.
- Cancer, collapse, and the politics of somatic evolution.Evolution, medicine, and public health · 2026Review
- Review
- Resistance Management for Cancer: Lessons from Farmers.Cancer research · 2024Review
- An evolutionary differential game for regulating the role of monoclonal antibodies in treating signalling pathways in oesophageal cancer.Royal Society open science · 2024Article
- "Patchiness" in mechanical stiffness across a tumor as an early-stage marker for malignancy.BMC ecology and evolution · 2024Article
- Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023Review
- A circuit for secretion-coupled cellular autonomy in multicellular eukaryotic cells.Molecular systems biology · 2023Article
- Agent-based methods facilitate integrative science in cancer.Trends in cell biology · 2023Review
- A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation.eLife · 2023Article
- MDM2-Based Proteolysis-Targeting Chimeras (PROTACs): An Innovative Drug Strategy for Cancer Treatment.International journal of molecular sciences · 2022Review
- Review
- Cancer as a tool for preclinical psychoneuroimmunology.Brain, behavior, & immunity - health · 2021Article
- Review
- Neutrophils: fast and furious-the nucleotide pathway.Purinergic signalling · 2021Review
- Immune-related gene expression signatures in colorectal cancer.Oncology letters · 2021Article
- Emerging Roles of LncRNAs in the EZH2-regulated Oncogenic Network.International journal of biological sciences · 2021Review
- Adenosinergic Signaling as a Key Modulator of the Glioma Microenvironment and Reactive Astrocytes.Frontiers in neuroscience · 2021Review
- Searching for Goldilocks: How Evolution and Ecology Can Help Uncover More Effective Patient-Specific Chemotherapies.Cancer research · 2020Review
- Towards Multidrug Adaptive Therapy.Cancer research · 2020Article
- Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization.PLoS computational biology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The role of genetic mutations in cancer is indisputable: They are a key source of tumor heterogeneity and drive its evolution to malignancy. But, the success of these new mutant cells relies on their ability to disrupt the homeostasis that characterizes healthy tissues. Mutated clones unable to break free from intrinsic and extrinsic homeostatic controls will fail to establish a tumor. Here, we will discuss, through the lens of mathematical and computational modeling, why an evolutionary view of cancer needs to be complemented by an ecological perspective to understand why cancer cells invade and subsequently transform their environment during progression. Importantly, this ecological perspective needs to account for tissue homeostasis in the organs that tumors invade, because they perturb the normal regulatory dynamics of these tissues, often coopting them for its own gain. Furthermore, given our current lack of success in treating advanced metastatic cancers through tumor-centric therapeutic strategies, we propose that treatments that aim to restore homeostasis could become a promising venue of clinical research. This ecoevolutionary view of cancer requires mechanistic mathematical models to both integrate clinical with biological data from different scales but also to detangle the dynamic feedback between the tumor and its environment. Importantly, for these models to be useful, they need to embrace a higher degree of complexity than many mathematical modelers are traditionally comfortable with.
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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.