Evidence map›Paper›PMID 23329811›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2013

Modeling boundary conditions for balanced proliferation in metastatic latency.

Donald P Taylor, Jakob Z Wells, Andrej Savol, Chakra Chennubhotla, Alan Wells

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Microenvironment-mediated cancer dormancy: Insights from metastability theory.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Review
  6. A Perspective on Therapeutic Pan-Resistance in Metastatic Cancer.International journal of molecular sciences · 2020
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. EngineeredJournal of biological engineering · 2018
    Review
  14. Computational systems biology in cancer brain metastasis.Frontiers in bioscience (Scholar edition) · 2016
    Review
  15. Article
  16. Article
  17. Review
  18. A microphysiological system model of therapy for liver micrometastases.Experimental biology and medicine (Maywood, N.J.) · 2014
    Review
  19. Article
  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.

Donald P TaylorDepartment of Bioengineering, University of Pittsburgh and Taylor Allderdice High School, Pittsburgh, Pennsylvania 15261, USA.
Jakob Z Wells
Andrej Savol
Chakra Chennubhotla
Alan Wells

Funding

Perfused 3D Tissue Surrogates for Complex Cell-Cell Communication SystemsR01EB010246 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFITH, LINDA G · 2009 to 2013
$3.3M
All-Human Microphysical Model of Metastasis TherapyUH2TR000496 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFITH, LINDA G · 2012 to 2013
$2.3M
NCATS NIH HHS UH2 TR000496NCATS NIH HHS UH2TR000496NIBIB NIH HHS R01 EB010246
6 · The paper itself

Abstract

purposeNearly half of cancer metastases become clinically evident five or more years after primary tumor treatment; thus, metastatic cells survived without emerging for extended periods. This dormancy has been explained by at least two countervailing scenarios: cellular quiescence and balanced proliferation; these entail dichotomous mechanistic etiologies. To examine the boundary parameters for balanced proliferation, we conducted in silico modeling. EXPERIMENTAL

designTo illuminate the balanced proliferation hypothesis, we explored the specific boundary probabilities under which proliferating micrometastases would remain dormant. A two-state Markov chain Monte Carlo model simulated micrometastatic proliferation and death according to stochastic survival probabilities. We varied these probabilities across 100 simulated patients each with 1,000 metastatic deposits and documented whether the micrometastases exceeded one million cells, died out, or remained dormant (survived 1,218 generations).

resultsThe simulations revealed a narrow survival probability window (49.7-50.8%) that allowed for dormancy across a range of starting cell numbers, and even then for only a small fraction of micrometastases. The majority of micrometastases died out quickly even at survival probabilities that led to rapid emergence of a subset of micrometastases. Within dormant metastases, cell populations depended sensitively on small survival probability increments.

conclusionsMetastatic dormancy as explained solely by balanced proliferation is bounded by very tight survival probabilities. Considering the far larger survival variability thought to attend fluxing microenvironments, it is more probable that these micrometastatic nodules undergo at least periods of quiescence rather than exclusively being controlled by balanced proliferation.

Indexed as

ApoptosisCell ProliferationComputer SimulationModels, BiologicalAnimalsHumansMarkov ChainsMonte Carlo MethodNeoplasm MetastasisNeoplasms

Identifiers

PMID23329811
PMCPMC3594128

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Registered trials

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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.