Integrated genomic analysis reveals actionable targets in pediatric spinal cord low-grade gliomas

Acta Neuropathologica Communications - Tập 10 - Trang 1-11 - 2022
Adela Misove1,2, Ales Vicha1,2, Petr Broz2,3, Katerina Vanova1,2, David Sumerauer1,2, Lucie Stolova2, Lucie Sramkova2, Miroslav Koblizek1,3, Josef Zamecnik1,3, Martin Kyncl4, Zuzana Holubova4, Petr Liby5, Jakub Taborsky5, Vladimir Benes5, Ivana Pernikova6, David T. W. Jones7,8, Martin Sill9, Terezia Stancokova10, Lenka Krskova1,3, Michal Zapotocky1,2
1Prague Brain Tumor Research Group, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
2Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
3Department of Pathology and Molecular Medicine, Second Faculty of Medicine, Charles University Prague and Faculty Hospital Motol, Prague, Czech Republic
4Department of Radiology, Second Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic
5Department of Neurosurgery, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
6Department of Neurology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
7Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
8Pediatric Glioma Research Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
9Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
10Department of Pediatric Oncology and Hematology, Children’s University Hospital, Banska Bystrica, Slovakia

Tóm tắt

Gliomas are the most common central nervous tumors in children and adolescents. However, spinal cord low-grade gliomas (sLGGs) are rare, with scarce information on tumor genomics and epigenomics. To define the molecular landscape of sLGGs, we integrated clinical data, histology, and multi-level genetic and epigenetic analyses on a consecutive cohort of 26 pediatric patients. Driver molecular alteration was found in 92% of patients (24/26). A novel variant of KIAA1549:BRAF fusion (ex10:ex9) was identified using RNA-seq in four cases. Importantly, only one-third of oncogenic drivers could be revealed using standard diagnostic methods, and two-thirds of pediatric patients with sLGGs required extensive molecular examination. The majority (23/24) of detected alterations were potentially druggable targets. Four patients in our cohort received targeted therapy with MEK or NTRK inhibitors. Three of those exhibited clinical improvement (two with trametinib, one with larotrectinib), and two patients achieved partial response. Methylation profiling was implemented to further refine the diagnosis and revealed intertumoral heterogeneity in sLGGs. Although 55% of tumors clustered with pilocytic astrocytoma, other rare entities were identified in this patient population. In particular, diffuse leptomeningeal glioneuronal tumors (n = 3) and high-grade astrocytoma with piloid features (n = 1) and pleomorphic xanthoastrocytoma (n = 1) were present. A proportion of tumors (14%) had no match with the current version of the classifier. Complex molecular genetic sLGGs characterization was invaluable to refine diagnosis, which has proven to be essential in such a rare tumor entity. Moreover, identifying a high proportion of drugable targets in sLGGs opened an opportunity for new treatment modalities.

Tài liệu tham khảo

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