TY - JOUR
T1 - A microfluidic cell-migration assay for the prediction of progression-free survival and recurrence time of patients with glioblastoma
AU - Wong, Bin Sheng
AU - Shah, Sagar R.
AU - Yankaskas, Christopher L.
AU - Bajpai, Vivek K.
AU - Wu, Pei Hsun
AU - Chin, Deborah
AU - Ifemembi, Brent
AU - ReFaey, Karim
AU - Schiapparelli, Paula
AU - Zheng, Xiaobin
AU - Martin, Stuart S.
AU - Fan, Chen Ming
AU - Quiñones-Hinojosa, Alfredo
AU - Konstantopoulos, Konstantinos
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2021/1
Y1 - 2021/1
N2 - Clinical scores, molecular markers and cellular phenotypes have been used to predict the clinical outcomes of patients with glioblastoma. However, their clinical use has been hampered by confounders such as patient co-morbidities, by the tumoral heterogeneity of molecular and cellular markers, and by the complexity and cost of high-throughput single-cell analysis. Here, we show that a microfluidic assay for the quantification of cell migration and proliferation can categorize patients with glioblastoma according to progression-free survival. We quantified with a composite score the ability of primary glioblastoma cells to proliferate (via the protein biomarker Ki-67) and to squeeze through microfluidic channels, mimicking aspects of the tight perivascular conduits and white-matter tracts in brain parenchyma. The assay retrospectively categorized 28 patients according to progression-free survival (short-term or long-term) with an accuracy of 86%, predicted time to recurrence and correctly categorized five additional patients on the basis of survival prospectively. RNA sequencing of the highly motile cells revealed differentially expressed genes that correlated with poor prognosis. Our findings suggest that cell-migration and proliferation levels can predict patient-specific clinical outcomes.
AB - Clinical scores, molecular markers and cellular phenotypes have been used to predict the clinical outcomes of patients with glioblastoma. However, their clinical use has been hampered by confounders such as patient co-morbidities, by the tumoral heterogeneity of molecular and cellular markers, and by the complexity and cost of high-throughput single-cell analysis. Here, we show that a microfluidic assay for the quantification of cell migration and proliferation can categorize patients with glioblastoma according to progression-free survival. We quantified with a composite score the ability of primary glioblastoma cells to proliferate (via the protein biomarker Ki-67) and to squeeze through microfluidic channels, mimicking aspects of the tight perivascular conduits and white-matter tracts in brain parenchyma. The assay retrospectively categorized 28 patients according to progression-free survival (short-term or long-term) with an accuracy of 86%, predicted time to recurrence and correctly categorized five additional patients on the basis of survival prospectively. RNA sequencing of the highly motile cells revealed differentially expressed genes that correlated with poor prognosis. Our findings suggest that cell-migration and proliferation levels can predict patient-specific clinical outcomes.
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U2 - 10.1038/s41551-020-00621-9
DO - 10.1038/s41551-020-00621-9
M3 - Article
C2 - 32989283
AN - SCOPUS:85091614502
SN - 2157-846X
VL - 5
SP - 26
EP - 40
JO - Nature Biomedical Engineering
JF - Nature Biomedical Engineering
IS - 1
ER -