Establishment of patient-derived organoid models of lower-grade glioma.
Establishment of patient-derived organoid models of lower-grade glioma.
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建立低级神经胶质瘤的患者衍生的器官模型。
DOI:
10.1093/neuonc/noab273
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发表时间:
2022-04-01
期刊:
影响因子:
15.9
通讯作者:
McBrayer SK
中科院分区:
文献类型:
--
作者:
Abdullah KG;Bird CE;Buehler JD;Gattie LC;Savani MR;Sternisha AC;Xiao Y;Levitt MM;Hicks WH;Li W;Ramirez DMO;Patel T;Garzon-Muvdi T;Barnett S;Zhang G;Ashley DM;Hatanpaa KJ;Richardson TE;McBrayer SK
Historically, creating patient-derived models of lower-grade glioma (LGG) has been challenging, contributing to few experimental platforms that support laboratory-based investigations of this disease. Although organoid modeling approaches have recently been employed to create in vitro models of high-grade glioma (HGG), it is unknown whether this approach can be successfully applied to LGG. In this study, we developed an optimized protocol for the establishment of organoids from LGG primary tissue samples by utilizing physiologic (5%) oxygenation conditions and employed it to produce the first known suite of these models. To assess their fidelity, we surveyed key biological features of patient-derived organoids using metabolic, genomic, histologic, and lineage marker gene expression assays. Organoid models were created with a success rate of 91% (n = 20/22) from primary tumor samples across glioma histological subtypes and tumor grades (WHO Grades 1–4), and a success rate of 87% (13/15) for WHO Grade 1–3 tumors. Patient-derived organoids recapitulated stemness, proliferative, and tumor-stromal composition profiles of their respective parental tumor specimens. Cytoarchitectural, mutational, and metabolic traits of parental tumors were also conserved. Importantly, LGG organoids were maintained in vitro for weeks to months and reanimated after biobanking without loss of integrity. We report an efficient method for producing faithful in vitro models of LGG. New experimental platforms generated through this approach are well positioned to support preclinical studies of this disease, particularly those related to tumor immunology, tumor-stroma interactions, identification of novel drug targets, and personalized assessments of treatment response profiles.
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影响因子:
--
作者:
Pernik MN;Bird CE;Traylor JI;Shi DD;Richardson TE;McBrayer SK;Abdullah KG
通讯作者:
Abdullah KG
DOI:
10.4161/cc.8.20.9701
发表时间:
2009-10-15
期刊:
Cell cycle (Georgetown, Tex.)
影响因子:
--
作者:
Heddleston JM;Li Z;McLendon RE;Hjelmeland AB;Rich JN
通讯作者:
Rich JN
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
50.3
作者:
Blouw, B;Song, HQ;Bergers, G
通讯作者:
Bergers, G
DOI:
10.1126/science.1164382
发表时间:
2008-09-26
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Parsons DW;Jones S;Zhang X;Lin JC;Leary RJ;Angenendt P;Mankoo P;Carter H;Siu IM;Gallia GL;Olivi A;McLendon R;Rasheed BA;Keir S;Nikolskaya T;Nikolsky Y;Busam DA;Tekleab H;Diaz LA Jr;Hartigan J;Smith DR;Strausberg RL;Marie SK;Shinjo SM;Yan H;Riggins GJ;Bigner DD;Karchin R;Papadopoulos N;Parmigiani G;Vogelstein B;Velculescu VE;Kinzler KW
通讯作者:
Kinzler KW