@article{c9a25ba9172c4250a7af2628a19f9f7e,
title = "Mutation Profiles in Glioblastoma 3D Oncospheres Modulate Drug Efficacy",
abstract = "Glioblastoma (GBM) is a lethal brain cancer with a median survival time of approximately 15 months following treatment. Common in vitro GBM models for drug screening are adherent and do not recapitulate the features of human GBM in vivo. Here we report the genomic characterization of nine patient-derived, spheroid GBM cell lines that recapitulate human GBM characteristics in orthotopic xenograft models. Genomic sequencing revealed that the spheroid lines contain alterations in GBM driver genes such as PTEN, CDKN2A, and NF1. Two spheroid cell lines, JHH-136 and JHH-520, were utilized in a high-throughput drug screen for cell viability using a 1912-member compound library. Drug mechanisms that were cytotoxic in both cell lines were Hsp90 and proteasome inhibitors. JHH-136 was uniquely sensitive to topoisomerase 1 inhibitors, while JHH-520 was uniquely sensitive to Mek inhibitors. Drug combination screening revealed that PI3 kinase inhibitors combined with Mek or proteasome inhibitors were synergistic. However, animal studies to test these drug combinations in vivo revealed that Mek inhibition alone was superior to the combination treatments. These data show that these GBM spheroid lines are amenable to high-throughput drug screening and that this dataset may deliver promising therapeutic leads for future GBM preclinical studies.",
keywords = "drug combination screening, glioblastoma, high-throughput screening, spheroid",
author = "Wilson, {Kelli M.} and Mathews-Griner, {Lesley A.} and Tara Williamson and Rajarshi Guha and Lu Chen and Paul Shinn and Crystal McKnight and Sam Michael and Carleen Klumpp-Thomas and Binder, {Zev A.} and Marc Ferrer and Gallia, {Gary L.} and Thomas, {Craig J.} and Riggins, {Gregory J.}",
note = "Funding Information: We would like to thank Dr. Natalia J. Martinez and Steve Titus for usage of the U-87MG and LN-229 cell lines, Jonathan M. Keller for qHTS assistance, Dr. Qi Zhao and Dr. Ewen Kirkness for DNA sequencing and data analysis, Dr. Aleksandra Michalowski for assistance with data analysis, and Dr. Matthew Hall for critical reading of the manuscript. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by NIH Intramural Research Program at NCATS, the Virginia and D. K. Ludwig Fund for Cancer Research (G.J.R.), and the Department of Neurosurgery at Johns Hopkins School of Medicine (G.L.G.). Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by NIH Intramural Research Program at NCATS, the Virginia and D. K. Ludwig Fund for Cancer Research (G.J.R.), and the Department of Neurosurgery at Johns Hopkins School of Medicine (G.L.G.). Publisher Copyright: {\textcopyright} 2018 Society for Laboratory Automation and Screening.",
year = "2019",
month = feb,
day = "1",
doi = "10.1177/2472630318803749",
language = "English (US)",
volume = "24",
pages = "28--40",
journal = "SLAS Technology",
issn = "2472-6303",
publisher = "Sage Publications",
number = "1",
}