An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases.
An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases.
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胶质母细胞瘤辐射抗性的体内模型可鉴定长的非编码RNA和靶向激酶。
DOI:
10.1172/jci.insight.148717
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发表时间:
2022-08-22
期刊:
影响因子:
8
通讯作者:
Willey, Christopher D.
中科院分区:
文献类型:
--
作者:
Stackhouse, Christian T.;Anderson, Joshua C.;Yue, Zongliang;Nguyen, Thanh;Eustace, Nicholas J.;Langford, Catherine P.;Wang, Jelai;Rowland, James R.;Xing, Chuan;Mikhail, Fady M.;Cui, Xiangqin;Alrefai, Hasan;Bash, Ryan E.;Lee, Kevin J.;Yang, Eddy S.;Hjelmeland, Anita B.;Miller, C. Ryan;Chen, Jake Y.;Gillespie, Yancey;Willey, Christopher D.
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.
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影响因子:
--
作者:
Hu Y;Qi MF;Xu QL;Kong XY;Cai R;Chen QQ;Tang HY;Jiang W
通讯作者:
Jiang W
影响因子:
11.2
作者:
通讯作者:
--
DOI:
10.1056/nejmra0809889
发表时间:
2010-05-20
期刊:
The New England journal of medicine
影响因子:
--
作者:
D'Andrea AD
通讯作者:
D'Andrea AD
影响因子:
7
作者:
Buske FA;Bauer DC;Mattick JS;Bailey TL
通讯作者:
Bailey TL
影响因子:
5.7
作者:
Jarboe, John S.;Jaboin, Jerry J.;Willey, Christopher D.
通讯作者:
Willey, Christopher D.