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An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases
Christian T. Stackhouse, Joshua C. Anderson, Zongliang Yue, Thanh Nguyen, Nicholas J. Eustace, Catherine P. Langford, Jelai Wang, James R. Rowland IV, Chuan Xing, Fady M. Mikhail, Xiangqin Cui, Hasan Alrefai, Ryan E. Bash, Kevin J. Lee, Eddy S. Yang, Anita B. Hjelmeland, C. Ryan Miller, Jake Y. Chen, G. Yancey Gillespie, Christopher D. Willey
Christian T. Stackhouse, Joshua C. Anderson, Zongliang Yue, Thanh Nguyen, Nicholas J. Eustace, Catherine P. Langford, Jelai Wang, James R. Rowland IV, Chuan Xing, Fady M. Mikhail, Xiangqin Cui, Hasan Alrefai, Ryan E. Bash, Kevin J. Lee, Eddy S. Yang, Anita B. Hjelmeland, C. Ryan Miller, Jake Y. Chen, G. Yancey Gillespie, Christopher D. Willey
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Research Article Oncology

An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases

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Abstract

Key molecular regulators of acquired radiation resistance in recurrent glioblastoma (GBM) are largely unknown, with a dearth of accurate preclinical models. To address this, we generated 8 GBM patient-derived xenograft (PDX) models of acquired radiation therapy–selected (RTS) resistance compared with same-patient, treatment-naive (radiation-sensitive, unselected; RTU) PDXs. These likely unique models mimic the longitudinal evolution of patient recurrent tumors following serial radiation therapy. Indeed, while whole-exome sequencing showed retention of major genomic alterations in the RTS lines, we did detect a chromosome 12q14 amplification that was associated with clinical GBM recurrence in 2 RTS models. A potentially novel bioinformatics pipeline was applied to analyze phenotypic, transcriptomic, and kinomic alterations, which identified long noncoding RNAs (lncRNAs) and targetable, PDX-specific kinases. We observed differential transcriptional enrichment of DNA damage repair pathways in our RTS models, which correlated with several lncRNAs. Global kinomic profiling separated RTU and RTS models, but pairwise analyses indicated that there are multiple molecular routes to acquired radiation resistance. RTS model–specific kinases were identified and targeted with clinically relevant small molecule inhibitors. This cohort of in vivo RTS patient-derived models will enable future preclinical therapeutic testing to help overcome the treatment resistance seen in patients with GBM.

Authors

Christian T. Stackhouse, Joshua C. Anderson, Zongliang Yue, Thanh Nguyen, Nicholas J. Eustace, Catherine P. Langford, Jelai Wang, James R. Rowland IV, Chuan Xing, Fady M. Mikhail, Xiangqin Cui, Hasan Alrefai, Ryan E. Bash, Kevin J. Lee, Eddy S. Yang, Anita B. Hjelmeland, C. Ryan Miller, Jake Y. Chen, G. Yancey Gillespie, Christopher D. Willey

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Figure 4

Differential enrichment of DDR pathways and response to DNA damage in PDX pairs.

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Differential enrichment of DDR pathways and response to DNA damage in PD...
Enrichment of DDR pathways in RTS globally (A), in X1516 (B), in JX12T (C), in JX14T (D), in JX39P (E), and in X1153 (F). The outside edge of the radar plot is labeled and color-coded by DDR pathway. Lines and bars within the plot indicate the normalized enrichment score (–2 to 2) for each DDR signature. Red bars indicate enrichment in the RTS PDX, and blue bars indicate enrichment in the RTU PDX. Significantly DEGs within each pathway along with their significance level and log2 fold change are listed in the boxes color-coded to match the DDR pathways in the radar plot. P values for differential expression are from Fisher’s exact test. Underlined genes are correlated with the expression of lncRNAs, which are labeled next to the DDR gene. (+) indicates a positive correlation with expression and (–) indicates a negative correlation. *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001. HR, homologous recombination; NHEJ, nonhomologous end joining; BER, base excision repair; NER, nucleotide excision repair; MMR, mismatch repair; Mod, modification.

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ISSN 2379-3708

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