Evidence map›Paper›PMID 29546457›Full record

ArticleJournal of mathematical biology2018

Nonlinear studies of tumor morphological stability using a two-fluid flow model.

Kara Pham, Emma Turian, Kai Liu, Shuwang Li, John Lowengrub

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 18 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Kara PhamDepartment of Mathematics, University of California at Irvine, Irvine, CA, 92697-3875, USA.
Emma TurianDepartment of Applied Mathematics, Illinois Institute of Technology, Chicago, IL, 60616, USA.
Kai LiuDepartment of Mathematics, University of California at Irvine, Irvine, CA, 92697-3875, USA.
Shuwang LiDepartment of Applied Mathematics, Illinois Institute of Technology, Chicago, IL, 60616, USA. sli@math.iit.edu.
John LowengrubDepartments of Mathematics and Biomedical Engineering, Center for Complex Biological Systems, Chao Family Comprehensive Cancer Center, University of California at Irvine, Irvine, CA, 92697-3875, USA. lowengrb@math.uci.edu.
University of California, Irvine · USIllinois Institute of Technology · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
NCI NIH HHS P30 CA062203NIH HHS P30CA062203NIH HHS P50GM76516
6 · The paper itself

Abstract

We consider the nonlinear dynamics of an avascular tumor at the tissue scale using a two-fluid flow Stokes model, where the viscosity of the tumor and host microenvironment may be different. The viscosities reflect the combined properties of cell and extracellular matrix mixtures. We perform a linear morphological stability analysis of the tumors, and we investigate the role of nonlinearity using boundary-integral simulations in two dimensions. The tumor is non-necrotic, although cell death may occur through apoptosis. We demonstrate that tumor evolution is regulated by a reduced set of nondimensional parameters that characterize apoptosis, cell-cell/cell-extracellular matrix adhesion, vascularization and the ratio of tumor and host viscosities. A novel reformulation of the equations enables the use of standard boundary integral techniques to solve the equations numerically. Nonlinear simulation results are consistent with linear predictions for nearly circular tumors. As perturbations develop and grow, the linear and nonlinear results deviate and linear theory tends to underpredict the growth of perturbations. Simulations reveal two basic types of tumor shapes, depending on the viscosities of the tumor and microenvironment. When the tumor is more viscous than its environment, the tumors tend to develop invasive fingers and a branched-like structure. As the relative ratio of the tumor and host viscosities decreases, the tumors tend to grow with a more compact shape and develop complex invaginations of healthy regions that may become encapsulated in the tumor interior. Although our model utilizes a simplified description of the tumor and host biomechanics, our results are consistent with experiments in a variety of tumor types that suggest that there is a positive correlation between tumor stiffness and tumor aggressiveness.

Indexed as

Models, BiologicalApoptosisCell AdhesionComputer SimulationExtracellular MatrixHumansLinear ModelsMathematical ConceptsMembrane FluidityNeoplasm InvasivenessNeoplasmsNeovascularization, PathologicNonlinear DynamicsSpheroids, CellularTumor Cells, CulturedTumor MicroenvironmentBoundary integral methodMoving boundary problemsSolid tumor growthStokes flow

Identifiers

PMID29546457
OpenAlexW2789291093

What OpenQuestion holds

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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.