Evidence map›Paper›PMID 24453958›Full record

ArticlePLoS computational biology2014

Microenvironmental variables must influence intrinsic phenotypic parameters of cancer stem cells to affect tumourigenicity.

Jacob G Scott, Anita B Hjelmeland, Prakash Chinnaiyan, Alexander R A Anderson, David Basanta

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. 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. Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Stem Cell Plasticity and Niche Dynamics in Cancer Progression.IEEE transactions on bio-medical engineering · 2017
    Article
  11. Review
  12. Review
  13. Modeling head and neck cancer stem cell-mediated tumorigenesis.Cellular and molecular life sciences : CMLS · 2016
    Review
  14. Article
  15. Agent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors.

Jacob G ScottIntegrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America ; Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Anita B HjelmelandDepartment of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Prakash ChinnaiyanDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America.
Alexander R A AndersonIntegrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America.
David BasantaIntegrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America.

Funding

TrainingU54CA113007 · NCI · VANDERBILT UNIVERSITY · PI ESTRADA-RODGERS, LOURDES · 2004 to 2014
$19.2M
Predicting Prostate Cancer AggressivenessU01CA151924 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, AYALA, GUSTAVO ENRIQUE · 2011 to 2015
$2.8M
A20 Promotes Glioma Stem Cell Mediated TumorigenesisR01CA151522 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HJELMELAND, ANITA BORTON · 2010 to 2014
$1.2M
NCI NIH HHS CA151522NCI NIH HHS R01 CA151522NCI NIH HHS U01 CA151924NCI NIH HHS U54 CA113007PHS HHS 1 U54 143970-01S
6 · The paper itself

Abstract

Since the discovery of tumour initiating cells (TICs) in solid tumours, studies focussing on their role in cancer initiation and progression have abounded. The biological interrogation of these cells continues to yield volumes of information on their pro-tumourigenic behaviour, but actionable generalised conclusions have been scarce. Further, new information suggesting a dependence of tumour composition and growth on the microenvironment has yet to be studied theoretically. To address this point, we created a hybrid, discrete/continuous computational cellular automaton model of a generalised stem-cell driven tissue with a simple microenvironment. Using the model we explored the phenotypic traits inherent to the tumour initiating cells and the effect of the microenvironment on tissue growth. We identify the regions in phenotype parameter space where TICs are able to cause a disruption in homeostasis, leading to tissue overgrowth and tumour maintenance. As our parameters and model are non-specific, they could apply to any tissue TIC and do not assume specific genetic mutations. Targeting these phenotypic traits could represent a generalizable therapeutic strategy across cancer types. Further, we find that the microenvironmental variable does not strongly affect the outcomes, suggesting a need for direct feedback from the microenvironment onto stem-cell behaviour in future modelling endeavours.

Indexed as

Tumor MicroenvironmentAlgorithmsBrainCell HypoxiaCell Transformation, NeoplasticComputer SimulationDisease ProgressionHumansModels, BiologicalMutationNeoplasmsNeoplastic Stem CellsPhenotype

Identifiers

PMID24453958
PMCPMC3894166

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.