Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes
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, th...
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2016-06-01
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| Series: | Cell Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124716306258 |
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doaj-432db7102c344521a6e47d4869e900be2020-11-24T21:29:17ZengElsevierCell Reports2211-12472016-06-0115122616262410.1016/j.celrep.2016.05.042Migration Phenotype of Brain-Cancer Cells Predicts Patient OutcomesChris L. Smith0Onur Kilic1Paula Schiapparelli2Hugo Guerrero-Cazares3Deok-Ho Kim4Neda I. Sedora-Roman5Saksham Gupta6Thomas O’Donnell7Kaisorn L. Chaichana8Fausto J. Rodriguez9Sara Abbadi10JinSeok Park11Alfredo Quiñones-Hinojosa12Andre Levchenko13Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Bioengineering, University of Washington, Seattle, WA 98195, USADepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Biomedical Engineering and Yale Systems Biology Institute, Yale University, New Haven, CT 06516, USADepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USADepartment of Biomedical Engineering and Yale Systems Biology Institute, Yale University, New Haven, CT 06516, USAGlioblastoma 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.http://www.sciencedirect.com/science/article/pii/S2211124716306258 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
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 |
| spellingShingle |
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 Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes Cell Reports |
| author_facet |
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 |
| author_sort |
Chris L. Smith |
| title |
Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes |
| title_short |
Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes |
| title_full |
Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes |
| title_fullStr |
Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes |
| title_full_unstemmed |
Migration Phenotype of Brain-Cancer Cells Predicts Patient Outcomes |
| title_sort |
migration phenotype of brain-cancer cells predicts patient outcomes |
| publisher |
Elsevier |
| series |
Cell Reports |
| issn |
2211-1247 |
| publishDate |
2016-06-01 |
| description |
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. |
| url |
http://www.sciencedirect.com/science/article/pii/S2211124716306258 |
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