Evidence map›Paper›PMID 28805874›Full record

ArticleLab on a chip2017

Microfluidic modeling of the biophysical microenvironment in tumor cell invasion.

Yu Ling Huang, Jeffrey E Segall, Mingming Wu

Abstract read
In one paragraph

Article in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  4. Microphysiological systems for metastasis research: a stepwise approach.Cellular oncology (Dordrecht, Netherlands) · 2025
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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 at 2 institutions in 1 country.

Yu Ling HuangDepartment of Biological and Environmental Engineering, Cornell University, 306 Riley-Robb Hall, Ithaca, NY 14853, USA. mw272@cornell.edu.
Jeffrey E Segall
Mingming Wu
Cornell University · USAlbert Einstein College of Medicine · US

Funding

Tumor Progression and MetastasisP01CA100324 · NCI · YESHIVA UNIVERSITY · PI CONDEELIS, JOHN S · 2003 to 2018
$30.0M
TRANS-NETWORK PROJECTSU54CA143876 · NCI · CORNELL UNIVERSITY · PI SHULER, MICHAEL L · 2009 to 2014
$12.6M
Microfluidic platform for tumor cell invasionR01CA221346 · NCI · CORNELL UNIVERSITY · PI Mingming Wu · 2017 to 2026
$3.4M
A 3D microfluidic platform for quantitative assessments of tumor cell migrationR21CA138366 · NCI · CORNELL UNIVERSITY · PI WU, MINGMING · 2010 to 2011
$347k
A 4D Traction Force Microscope for the mapping of cellular mechanical stressesR21RR025801 · NCRR · CORNELL UNIVERSITY · PI REINHART-KING, CYNTHIA A., WU, MINGMING · 2010 to 2011
$311k
A 4D Traction Force Microscope for the mapping of cellular mechanical stressesR21GM103388 · NIGMS · CORNELL UNIVERSITY · PI REINHART-KING, CYNTHIA A., WU, MINGMING · 2012 to 2012
$183k
NCI NIH HHS P01 CA100324NCI NIH HHS R01 CA221346NCI NIH HHS R21 CA138366NCI NIH HHS U54 CA143876NCRR NIH HHS R21 RR025801NIGMS NIH HHS R21 GM103388
6 · The paper itself

Abstract

Tumor cell invasion, whether penetrating through the extracellular matrix (ECM) or crossing a vascular endothelium, is a critical step in the cancer metastatic cascade. Along the way from a primary tumor to a distant metastatic site, tumor cells interact actively with the microenvironment either via biomechanical (e. g. ECM stiffness) or biochemical (e.g. secreted cytokines) signals. Increasingly, it is recognized that the tumor microenvironment (TME) is a critical player in tumor cell invasion. A main challenge for the mechanistic understanding of tumor cell-TME interactions comes from the complexity of the TME, which consists of extracellular matrices, fluid flows, cytokine gradients and other cell types. It is difficult to control TME parameters in conventional in vitro experimental designs such as Boyden chambers or in vivo such as in mouse models. Microfluidics has emerged as an enabling tool for exploring the TME parameter space because of its ease of use in recreating a complex and physiologically realistic three dimensional TME with well-defined spatial and temporal control. In this perspective, we will discuss designing principles for modeling the biophysical microenvironment (biological flows and ECM) for tumor cells using microfluidic devices and the potential microfluidic technology holds in recreating a physiologically realistic tumor microenvironment. The focus will be on applications of microfluidic models in tumor cell invasion.

Indexed as

MicrofluidicsModels, BiologicalNeoplasm InvasivenessTumor MicroenvironmentAnimalsCapillary PermeabilityEquipment DesignExtracellular MatrixHumansNeovascularization, Pathologic

Identifiers

PMID28805874
PMCPMC6007858
OpenAlexW2742905622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.