Ex vivo to in vivo model of malignant peripheral nerve sheath tumors for precision oncology.
Ex vivo to in vivo model of malignant peripheral nerve sheath tumors for precision oncology.
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DOI:
10.1093/neuonc/noad097
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发表时间:
2023-11-02
期刊:
影响因子:
15.9
通讯作者:
中科院分区:
文献类型:
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作者:
Malignant peripheral nerve sheath tumors (MPNST) are aggressive soft tissue sarcomas that often develop in patients with neurofibromatosis type 1 (NF1). To address the critical need for novel therapeutics in MPNST, we aimed to establish an ex vivo 3D platform that accurately captured the genomic diversity of MPNST and could be utilized in a medium-throughput manner for drug screening studies to be validated in vivo using patient-derived xenografts (PDX). Genomic analysis was performed on all PDX-tumor pairs. Selected PDX were harvested for assembly into 3D microtissues. Based on prior work in our labs, we evaluated drugs (trabectedin, olaparib, and mirdametinib) ex vivo and in vivo. For 3D microtissue studies, cell viability was the endpoint as assessed by Zeiss Axio Observer. For PDX drug studies, tumor volume was measured twice weekly. Bulk RNA sequencing was performed to identify pathways enriched in cells. We developed 13 NF1-associated MPNST-PDX and identified mutations or structural abnormalities in NF1 (100%), SUZ12 (85%), EED (15%), TP53 (15%), CDKN2A (85%), and chromosome 8 gain (77%). We successfully assembled PDX into 3D microtissues, categorized as robust (>90% viability at 48 h), good (>50%), or unusable (<50%). We evaluated drug response to “robust” or “good” microtissues, namely MN-2, JH-2-002, JH-2-079-c, and WU-225. Drug response ex vivo predicted drug response in vivo, and enhanced drug effects were observed in select models. These data support the successful establishment of a novel 3D platform for drug discovery and MPNST biology exploration in a system representative of the human condition.
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影响因子:
9.8
作者:
Allaway, Robert J.;La Rosa, Salvatore;Gosline, Sara J. C.
通讯作者:
Gosline, Sara J. C.
影响因子:
3.2
作者:
Brancato, Virginia;Kundu, Banani;Kundu, Subhas C.
通讯作者:
Kundu, Subhas C.
DOI:
10.1039/c8ib00111a
发表时间:
2018-09-17
期刊:
Integrative biology : quantitative biosciences from nano to macro
影响因子:
--
作者:
Crampton AL;Cummins KA;Wood DK
通讯作者:
Wood DK
影响因子:
8.8
作者:
Li S;Shen D;Shao J;Crowder R;Liu W;Prat A;He X;Liu S;Hoog J;Lu C;Ding L;Griffith OL;Miller C;Larson D;Fulton RS;Harrison M;Mooney T;McMichael JF;Luo J;Tao Y;Goncalves R;Schlosberg C;Hiken JF;Saied L;Sanchez C;Giuntoli T;Bumb C;Cooper C;Kitchens RT;Lin A;Phommaly C;Davies SR;Zhang J;Kavuri MS;McEachern D;Dong YY;Ma C;Pluard T;Naughton M;Bose R;Suresh R;McDowell R;Michel L;Aft R;Gillanders W;DeSchryver K;Wilson RK;Wang S;Mills GB;Gonzalez-Angulo A;Edwards JR;Maher C;Perou CM;Mardis ER;Ellis MJ
通讯作者:
Ellis MJ
影响因子:
28.2
作者:
通讯作者:
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