Multiplatform molecular profiling uncovers two subgroups of malignant peripheral nerve sheath tumors with distinct therapeutic vulnerabilities.
Multiplatform molecular profiling uncovers two subgroups of malignant peripheral nerve sheath tumors with distinct therapeutic vulnerabilities.
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DOI:
10.1038/s41467-023-38432-6
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发表时间:
2023-05-10
影响因子:
16.6
通讯作者:
Zadeh, Gelareh
中科院分区:
文献类型:
--
作者:
Suppiah, Suganth;Mansouri, Sheila;Mamatjan, Yasin;Liu, Jeffrey C.;Bhunia, Minu M.;Patil, Vikas;Rath, Prisni;Mehani, Bharati;Heir, Pardeep;Bunda, Severa;Velez-Reyes, German L.;Singh, Olivia;Ijad, Nazanin;Pirouzmand, Neda;Dalcourt, Tatyana;Meng, Ying;Karimi, Shirin;Wei, Qingxia;Nassiri, Farshad;Pugh, Trevor J.;Bader, Gary D.;Aldape, Kenneth D.;Largaespada, David A.;Zadeh, Gelareh
Malignant peripheral nerve sheath tumor (MPNST) is a highly aggressive sarcoma, and a lethal neurofibromatosis type 1-related malignancy, with little progress made on treatment strategies. Here, we apply a multiplatform integrated molecular analysis on 108 tumors spanning the spectrum of peripheral nerve sheath tumors to identify candidate drivers of MPNST that can serve as therapeutic targets. Unsupervised analyses of methylome and transcriptome profiles identify two distinct subgroups of MPNSTs with unique targetable oncogenic programs. We establish two subgroups of MPNSTs: SHH pathway activation in MPNST-G1 and WNT/ß-catenin/CCND1 pathway activation in MPNST-G2. Single nuclei RNA sequencing characterizes the complex cellular architecture and demonstrate that malignant cells from MPNST-G1 and MPNST-G2 have neural crest-like and Schwann cell precursor-like cell characteristics, respectively. Further, in pre-clinical models of MPNST we confirm that inhibiting SHH pathway in MPNST-G1 prevent growth and malignant progression, providing the rational for investigating these treatments in clinical trials. Malignant peripheral nerve sheath tumours are an aggressive form of sarcoma, with limited treatment options. Here, the authors utilise DNA methylation and transcriptomic data to identify two subtypes of tumours with potential therapeutic vulnerabilities.
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Salzberg, Steven L.
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