Evidence map›Paper›PMID 29808371›Full record

ArticleJournal of biological physics2018

In vivo mimicking model for solid tumor towards hydromechanics of tissue deformation and creation of necrosis.

Bibaswan Dey, G P Raja Sekhar, Sourav Kanti Mukhopadhyay

Abstract read
In one paragraph

Article in Journal of biological physics, 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
–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

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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.

  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

3 authors.

Bibaswan DeySRM Research Institute, Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Kancheepuram, 603203, Tamil Nadu, India. bibaswanfm@iitkgp.ac.in.
G P Raja SekharDepartment of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, 721 302, West Bengal, India.
Sourav Kanti MukhopadhyayDepartment of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721 302, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work addresses transvascular and interstitial fluid transport inside a solid tumor surrounded by normal tissue (close to an in vivo mimicking setup). In general, biological tissues behave like a soft porous material and show mechanical behavior towards the fluid motion through the interstitial space. In general, forces like viscous drag that are associated with the fluid flow may compress the tissue material. On the macroscopic level, we try to model the motion of fluids and macromolecules through the interstitial space of solid tumor and the normal tissue layer. The transvascular fluid transport is assumed to be governed by modified Starling's law. The poroelastohydrodynamics (interstitial hydrodynamics and the deformation of tissue material) inside the tumor and normal tissue regions is modeled using linearized biphasic mixture theory. Correspondingly, the velocity distribution of fluid is coupled to the displacement field of the solid phase (mainly cellular phase and extracellular matrix) in both the normal and tumor tissue regions. The corresponding velocity field is used within the transport reaction equation for fluids and macromolecules through interstitial space to get the overall solute (e.g., nutrients, drug, and other macromolecules) distribution. This study justifies that the presence of the normal tissue layer plays a significant role in delaying/assisting necrosis inside the tumor tissue. It is observed that the exchange process of fluids and macromolecules across the interface of the tumor and normal tissue affects the effectiveness factor corresponding to the tumor tissue.

Indexed as

Models, BiologicalNecrosisAntineoplastic AgentsBiological TransportExtracellular FluidHumansHydrodynamicsMacromolecular SubstancesNeoplasmsNutrientsAntineoplastic AgentsMacromolecular SubstancesNutrientsBiphasic mixture theoryEffectiveness factorInterstitial spaceNecrotic corePeclet number

Identifiers

PMID29808371
PMCPMC6082797

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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.