Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes

Chris L. Smith; Onur Kilic; Paula Schiapparelli; Hugo Guerrero-Cazares; Deok-Ho Kim; Neda I. Sedora-Roman; Saksham Gupta; Thomas O’Donnell; Kaisorn L. Chaichana; Fausto J. Rodriguez; Sara Abbadi; JinSeok Park; Alfredo Quiñones-Hinojosa; Andre Levchenko

doi:10.1016/j.celrep.2016.05.042

Cell Reports (Jun 2016)

Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes

Chris L. Smith,
Onur Kilic,
Paula Schiapparelli,
Hugo Guerrero-Cazares,
Deok-Ho Kim,
Neda I. Sedora-Roman,
Saksham Gupta,
Thomas O’Donnell,
Kaisorn L. Chaichana,
Fausto J. Rodriguez,
Sara Abbadi,
JinSeok Park,
Alfredo Quiñones-Hinojosa,
Andre Levchenko

Affiliations

Chris L. Smith: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Onur Kilic: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Paula Schiapparelli: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Hugo Guerrero-Cazares: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Deok-Ho Kim: Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
Neda I. Sedora-Roman: Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
Saksham Gupta: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Thomas O’Donnell: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Kaisorn L. Chaichana: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Fausto J. Rodriguez: Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Sara Abbadi: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
JinSeok Park: Department of Biomedical Engineering and Yale Systems Biology Institute, Yale University, New Haven, CT 06516, USA
Alfredo Quiñones-Hinojosa: Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Andre Levchenko: Department of Biomedical Engineering and Yale Systems Biology Institute, Yale University, New Haven, CT 06516, USA

DOI: https://doi.org/10.1016/j.celrep.2016.05.042
Journal volume & issue: Vol. 15, no. 12
pp. 2616 – 2624

Abstract

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Glioblastoma multiforme is a heterogeneous and infiltrative cancer with dismal prognosis. Studying the migratory behavior of tumor-derived cell populations can be informative, but it places a high premium on the precision of in vitro methods and the relevance of in vivo conditions. In particular, the analysis of 2D cell migration may not reflect invasion into 3D extracellular matrices in vivo. Here, we describe a method that allows time-resolved studies of primary cell migration with single-cell resolution on a fibrillar surface that closely mimics in vivo 3D migration. We used this platform to screen 14 patient-derived glioblastoma samples. We observed that the migratory phenotype of a subset of cells in response to platelet-derived growth factor was highly predictive of tumor location and recurrence in the clinic. Therefore, migratory phenotypic classifiers analyzed at the single-cell level in a patient-specific way can provide high diagnostic and prognostic value for invasive cancers.

Published in Cell Reports

ISSN: 2211-1247 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Biology (General)
Website: http://www.cell.com/cell-reports/home

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