Evidence map›Paper›PMID 28392183›Full record

ArticleJournal of theoretical biology2017

Evaluating the influence of mechanical stress on anticancer treatments through a multiphase porous media model.

Pietro Mascheroni, Daniela Boso, Luigi Preziosi, Bernhard A Schrefler

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  8. Article
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  10. Article
  11. Feeling Stress: The Mechanics of Cancer Progression and Aggression.Frontiers in cell and developmental biology · 2018
    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

4 authors.

Pietro MascheroniDipartimento di Ingegneria Civile, Edile ed Ambientale, Università di Padova, Via Marzolo 9, 35131 Padova, Italy.
Daniela BosoDipartimento di Ingegneria Civile, Edile ed Ambientale, Università di Padova, Via Marzolo 9, 35131 Padova, Italy.
Luigi PreziosiDipartimento di Scienze Matematiche, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10124 Torino, Italy.
Bernhard A SchreflerInstitute for Advanced Study, Technische Universität München, Lichtenbergstraße 2, 85748 Garching bei München, Germany and Houston Methodist Research Institute, 6670 Bertner Ave, Houston, TX 77030, USA. Electronic address: bernhard.schrefler@dicea.unipd.it.

Funding

Transport Oncophysics CoreU54CA210181 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CHANG, JENNY C-N, SHEN, HAIFA · 2016 to 2020
$9.3M
NCI NIH HHS U54 CA210181
6 · The paper itself

Abstract

Drug resistance is one of the leading causes of poor therapy outcomes in cancer. As several chemotherapeutics are designed to target rapidly dividing cells, the presence of a low-proliferating cell population contributes significantly to treatment resistance. Interestingly, recent studies have shown that compressive stresses acting on tumor spheroids are able to hinder cell proliferation, through a mechanism of growth inhibition. However, studies analyzing the influence of mechanical compression on therapeutic treatment efficacy have still to be performed. In this work, we start from an existing mathematical model for avascular tumors, including the description of mechanical compression. We introduce governing equations for transport and uptake of a chemotherapeutic agent, acting on cell proliferation. Then, model equations are adapted for tumor spheroids and the combined effect of compressive stresses and drug action is investigated. Interestingly, we find that the variation in tumor spheroid volume, due to the presence of a drug targeting cell proliferation, considerably depends on the compressive stress level of the cell aggregate. Our results suggest that mechanical compression of tumors may compromise the efficacy of chemotherapeutic agents. In particular, a drug dose that is effective in reducing tumor volume for stress-free conditions may not perform equally well in a mechanically compressed environment.

Indexed as

Drug Resistance, NeoplasmModels, TheoreticalSpheroids, CellularStress, MechanicalAnimalsAntineoplastic AgentsCell Line, TumorCompressive StrengthHumansModels, BiologicalPorosityAntineoplastic AgentsCancerChemotherapyMathematical modelMechanical compressionTumor spheroids

Identifiers

PMID28392183
PMCPMC5500690

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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.