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, Jin Seok Park, Alfredo Quiñones-Hinojosa, Andre Levchenko

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)2616-2624
Number of pages9
JournalCell reports
Issue number12
StatePublished - Jun 21 2016

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology


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