Evidence map›Paper›PMID 41919661›Full record

ArticleSoft matter2026

Modeling tumor transport and growth with poroelastic biopolymer networks.

Zecheng Li, Yifei Ren, Sharvari Kemkar, Paul Mollenkopf, Jakub Kochanowski, Paul A Janmey, Prashant K Purohit, Ravi Radhakrishnan, Kyle H Vining

Abstract read
In one paragraph

Article in Soft matter, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zecheng LiDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA. rradhak@seas.upenn.edu.
Yifei RenDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA.
Sharvari KemkarPenn Institute for Computational Science, University of Pennsylvania, Pennsylvania 19104, USA.
Paul MollenkopfDepartment of Physiology, School of Medicine, University of Pennsylvania, Pennsylvania 19104, USA.
Jakub KochanowskiDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA. rradhak@seas.upenn.edu.
Paul A JanmeyDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA. rradhak@seas.upenn.edu.ORCID http://orcid.org/0000-0002-3495-3286
Prashant K PurohitDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA.ORCID http://orcid.org/0000-0002-1939-907X
Ravi RadhakrishnanDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Pennsylvania 19104, USA. rradhak@seas.upenn.edu.ORCID http://orcid.org/0000-0003-0686-2851
Kyle H ViningDepartment of Preventive and Restorative Sciences, School of Dental Medicine, University of Pennsylvania, Pennsylvania 19104, USA. viningk@upenn.edu.ORCID http://orcid.org/0000-0002-4009-879X

Funding

Pathological consequences of altered tissue mechanics in fibrosisR01EB017753 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A, SHENOY, VIVEK · 2014 to 2025
$6.3M
A physical sciences approach to investigate the role of exosomes in metastatic progressionU01CA250044 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GUO, WEI, RADHAKRISHNAN, RAVI · 2021 to 2025
$3.9M
Regulation of cell, tissue, and nucleus function by mechanical properties of biopolymer networksR35GM136259 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Paul A Janmey · 2020 to 2026
$3.2M
Mechanisms of mechano-chemical rupture of blood clots and thrombiR01HL148227 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PUROHIT, PRASHANT KISHORE · 2020 to 2023
$2.5M
Targeting mechanical regulation of monocyte fate in head and neck cancer.R00DE030084 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI VINING, KYLE HOLMBERG · 2022 to 2024
$747k
NCI NIH HHS U01 CA250044NHLBI NIH HHS R01 HL148227NIBIB NIH HHS R01 EB017753NIDCR NIH HHS L70 DE035343NIDCR NIH HHS R00 DE030084NIGMS NIH HHS R35 GM136259
6 · The paper itself

Abstract

The mechanical properties of the extracellular matrix (ECM) regulate tumor growth and invasion in the tumor microenvironment. Models of biopolymer networks have been used to investigate the impact of elasticity and viscoelasticity of the ECM on tumor behavior. Under tumor compression, these networks also show poroelastic behavior that is governed by the resistance to water flow through their pores. This work investigates the hypothesis that stress-dependent transport properties of biopolymer networks regulate tumor growth. Here, alginate hydrogels are used as a model ECM system with tunable ionic and hybrid ionic/covalent crosslinking. Hydrogel stiffness, viscoelasticity, and stress relaxation behavior were characterized using stepwise axial compression. Among these properties, we find poroelastic fluid outflow dominates ECM stress relaxation, as the measured water flux was significantly affected under compression. Continuum mechanics-based modeling was developed to formulate and calculate the chemical potential gradients of water (solvent) in the hydrogels under compression. This framework was extended into an advection-diffusion framework to quantify growth factor (solute) distribution under varying strengths of stress and diffusion indexed by the relative strength of convective to diffusive transport, characterized by the Péclet number. An agent-based computational simulation showed that the Péclet numbers based on our experimental timescales strongly influenced tumor growth over longer, more physiologic timescales. Together, these results highlight the important role of water flux and transport in three-dimensional biopolymer networks.

Indexed as

Models, BiologicalNeoplasmsAlginatesBiological TransportBiopolymersDiffusionElasticityExtracellular MatrixGlucuronic AcidHexuronic AcidsHumansHydrogelsPorosityViscosityWaterAlginatesBiopolymersGlucuronic AcidHexuronic AcidsHydrogelsWater

Identifiers

PMID41919661
PMCPMC13040666

What OpenQuestion holds

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LicenceCC BY-NC
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.