Evidence map›Paper›PMID 22838395›Full record

ArticleTheoretical biology & medical modelling2012

Immunoediting: evidence of the multifaceted role of the immune system in self-metastatic tumor growth.

Heiko Enderling, Lynn Hlatky, Philip Hahnfeldt

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  10. Agent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  11. Article
  12. A mathematical model of pre-diagnostic glioma growth.Journal of theoretical biology · 2015
    Article
  13. Review
  14. Article
  15. Metastatic melanoma cells evade immune detection by silencing STAT1.International journal of molecular sciences · 2015
    Article
  16. Article
  17. A journey to uncharted territory: new technical frontiers in studying tumor-stromal cell interactions.Integrative biology : quantitative biosciences from nano to macro · 2015
    Review
  18. Article
  19. Article
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

3 authors at 1 institution in 1 country.

Heiko EnderlingCenter of Cancer Systems Biology, Steward St, Elizabeth's Medical Center, Tufts University School of Medicine, 736 Cambridge Street, Boston, MA 02135, USA.
Lynn Hlatky
Philip Hahnfeldt
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of the immune system in tumor progression has been a subject for discussion for many decades. Numerous studies suggest that a low immune response might be beneficial, if not necessary, for tumor growth, and only a strong immune response can counter tumor growth and thus inhibit progression.

methodsWe implement a cellular automaton model previously described that captures the dynamical interactions between the cancer stem and non-stem cell populations of a tumor through a process of self-metastasis. By overlaying on this model the diffusion of immune reactants into the tumor from a peripheral source to target cells, we simulate the process of immune-system-induced cell kill on tumor progression.

resultsA low cytotoxic immune reaction continuously kills cancer cells and, although at a low rate, thereby causes the liberation of space-constrained cancer stem cells to drive self-metastatic progression and continued tumor growth. With increasing immune system strength, however, tumor growth peaks, and then eventually falls below the intrinsic tumor sizes observed without an immune response. With this increasing immune response the number and proportion of cancer stem cells monotonically increases, implicating an additional unexpected consequence, that of cancer stem cell selection, to the immune response.

conclusionsCancer stem cells and immune cytotoxicity alone are sufficient to explain the three-step "immunoediting" concept - the modulation of tumor growth through inhibition, selection and promotion.

Indexed as

Models, BiologicalAnimalsComputer SimulationImmune SystemMammalsNeoplasm MetastasisNeoplasms

Identifiers

PMID22838395
PMCPMC3499182
OpenAlexW2160400298

What OpenQuestion holds

Textmetadata
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.