Evidence map›Paper›PMID 34531851›Full record

ArticleFrontiers in immunology2021

Predator-Prey in Tumor-Immune Interactions: A Wrong Model or Just an Incomplete One?

Irina Kareva, Kimberly A Luddy, Cliona O'Farrelly, Robert A Gatenby, Joel S Brown

Abstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026
    Article
  3. Article
  4. Gaming the cancer-immunity cycle by synchronizing the dose schedules.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Spatial interactions modulate tumor growth and immune infiltration.bioRxiv : the preprint server for biology · 2024
    Article
  14. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Irina KarevaEMD Serono, Merck KGaA, Billerica, MA, United States.
Kimberly A LuddyDepartment of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, FL, United States.
Cliona O'FarrellySchool of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland.
Robert A GatenbyDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Joel S BrownDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, United States.

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Causes & Consequences of Acid pH in TumorsR01CA077575 · NCI · UNIVERSITY OF ARIZONA · PI GILLIES, ROBERT J. · 1999 to 2018
$8.5M
Eco-Evolutionary dynamics of NSCLC to immunotherapy: Response and ResistanceU01CA232382 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, ANTONIA, SCOTT J. · 2018 to 2022
$3.3M
NCI NIH HHS R01 CA077575NCI NIH HHS U01 CA232382NCI NIH HHS U54 CA143970
6 · The paper itself

Abstract

Tumor-immune interactions are often framed as predator-prey. This imperfect analogy describes how immune cells (the predators) hunt and kill immunogenic tumor cells (the prey). It allows for evaluation of tumor cell populations that change over time during immunoediting and it also considers how the immune system changes in response to these alterations. However, two aspects of predator-prey type models are not typically observed in immuno-oncology. The first concerns the conversion of prey killed into predator biomass. In standard predator-prey models, the predator relies on the prey for nutrients, while in the tumor microenvironment the predator and prey compete for resources (e.g. glucose). The second concerns oscillatory dynamics. Standard predator-prey models can show a perpetual cycling in both prey and predator population sizes, while in oncology we see increases in tumor volume and decreases in infiltrating immune cell populations. Here we discuss the applicability of predator-prey models in the context of cancer immunology and evaluate possible causes for discrepancies. Key processes include "safety in numbers", resource availability, time delays, interference competition, and immunoediting. Finally, we propose a way forward to reconcile differences between model predictions and empirical observations. The immune system is not just predator-prey. Like natural food webs, the immune-tumor community of cell types forms an immune-web of different and identifiable interactions.

Indexed as

Models, ImmunologicalTumor EscapeAnimalsAntineoplastic Agents, ImmunologicalCell CommunicationCell DeathDrug Resistance, NeoplasmHumansImmune Checkpoint InhibitorsImmunotherapyNeoplasmsTumor MicroenvironmentAntineoplastic Agents, ImmunologicalImmune Checkpoint Inhibitorscancer ecologyfirst principlesimmune-webimmunoeditingpredator-prey dynamicstumor-immune interactions

Identifiers

PMID34531851
PMCPMC8438324

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.