Evidence map›Paper›PMID 24388382›Full record

ArticleBiomaterials2014

A microfluidic 3D in vitro model for specificity of breast cancer metastasis to bone.

Simone Bersini, Jessie S Jeon, Gabriele Dubini, Chiara Arrigoni, Seok Chung, Joseph L Charest, Matteo Moretti, Roger D Kamm

Open access · bronzeAbstract read
In one paragraph

Article in Biomaterials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 266 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
266citing papers in PubMed, 2 pooled it
20.4field-weighted citation impact, top 1% 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

266 citing papers in PubMed, 2 syntheses or guidelines pooled it, 512 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. Mechanisms of breast cancer dormancy in bone metastasis.Clinical & experimental metastasis · 2026
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  19. Exploring bone-tumor interactions through 3DJournal of bone oncology · 2025
    Review
  20. Article

206 more citing papers are in PubMed but not listed here.

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

8 authors at 6 institutions in 3 countries.

Simone BersiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano 20133, Italy; Cell and Tissue Engineering Lab, IRCCS Istituto Ortopedico Galeazzi, Milano, 20161 Italy.
Jessie S JeonDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Gabriele DubiniDepartment of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Milano 20133, Italy.
Chiara ArrigoniCell and Tissue Engineering Lab, Gruppo Ospedaliero San Donato Foundation, Milano, Italy.
Seok ChungSchool of Mechanical Engineering, Korea University, Seoul 136-705, South Korea.
Joseph L CharestCharles Stark Draper Laboratory, Cambridge, MA 02139, USA.
Matteo MorettiCell and Tissue Engineering Lab, IRCCS Istituto Ortopedico Galeazzi, Milano, 20161 Italy. Electronic address: matteo.moretti@grupposandonato.it.
Roger D KammDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: rdkamm@mit.edu.
Istituto Ortopedico Galeazzi · ITMassachusetts Institute of Technology · USDraper Laboratory · USKorea University · KROspedale San Donato · ITPolitecnico di Milano · IT

Funding

Microfluidic 3D Assays for Metastatic CancerR33CA174550 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2013 to 2015
$1.1M
Microfluidic 3D Scaffold Assay for Cancer Cell Migration and IntravasationR21CA140096 · NCI · CHARLES STARK DRAPER LABORATORY · PI CHAREST, JOSEPH L. · 2009 to 2011
$672k
NCI NIH HHS R21 CA140096NCI NIH HHS R33 CA174550NCI NIH HHS R33 CA174550-01
6 · The paper itself

Abstract

Cancer metastases arise following extravasation of circulating tumor cells with certain tumors exhibiting high organ specificity. Here, we developed a 3D microfluidic model to analyze the specificity of human breast cancer metastases to bone, recreating a vascularized osteo-cell conditioned microenvironment with human osteo-differentiated bone marrow-derived mesenchymal stem cells and endothelial cells. The tri-culture system allowed us to study the transendothelial migration of highly metastatic breast cancer cells and to monitor their behavior within the bone-like matrix. Extravasation, quantified 24 h after cancer cell injection, was significantly higher in the osteo-cell conditioned microenvironment compared to collagen gel-only matrices (77.5 ± 3.7% vs. 37.6 ± 7.3%), and the migration distance was also significantly greater (50.8 ± 6.2 μm vs. 31.8 ± 5.0 μm). Extravasated cells proliferated to form micrometastases of various sizes containing 4 to more than 60 cells by day 5. We demonstrated that the breast cancer cell receptor CXCR2 and the bone-secreted chemokine CXCL5 play a major role in the extravasation process, influencing extravasation rate and traveled distance. Our study provides novel 3D in vitro quantitative data on extravasation and micrometastasis generation of breast cancer cells within a bone-like microenvironment and demonstrates the potential value of microfluidic systems to better understand cancer biology and screen for new therapeutics.

Indexed as

Bone Marrow CellsBone NeoplasmsBreast NeoplasmsCell DifferentiationCell Line, TumorCell ProliferationChemokine CXCL5CollagenFemaleFluorescent Antibody TechniqueHumansMesenchymal Stem CellsMicrofluidicsReceptors, Interleukin-8BChemokine CXCL5CollagenCXCL5 protein, humanReceptors, Interleukin-8BBoneBreast cancerExtravasationHydrogelMetastasisMicrofluidics

Identifiers

PMID24388382
PMCPMC3905838
OpenAlexW2051403546

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.