Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes

• DOI: 10.1016/j.celrep.2016.05.042
• Publication Date: 2016-06-11T21:50:50Z
• Authors: Chris L. Smith; Onur Kilic; Paula Schiapparelli; Hugo Guerrero-Caz...; Deok-Ho Kim; Neda I. Sedora-Roman; Saksham Gupta; Thomas O’Donnell; Kaisorn L. Chaichana; Fausto J. Rodriguez; Sara Abbadi; JinSeok Park; Alfredo Quiñones-...; Andre Levchenko
• Keywords: Platelet-Derived Growth Factor; 0303 health sciences; QH301-705.5; Brain Neoplasms; 3. Good health; Mice; 03 medical and health sciences; Phenotype; Treatment Outcome; Cell Movement; Tumor Microenvironment; Animals; Humans; Nanoparticles; Neoplasm Invasiveness; Biology (General); Glioblastoma

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 high premium on precision in vitro methods relevance vivo conditions. In particular, analysis 2D migration may not reflect invasion into 3D extracellular matrices vivo. Here, we describe method that allows time-resolved studies primary single-cell resolution fibrillar surface closely mimics migration. We used this platform to screen 14 patient-derived glioblastoma samples. observed phenotype subset cells response platelet-derived growth factor was highly predictive tumor location recurrence clinic. Therefore, phenotypic classifiers analyzed at level patient-specific way provide diagnostic prognostic value for invasive cancers.