Genetic and epigenetic landscape of IDH-wildtype glioblastomas with FGFR3-TACC3 fusions
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Published:2020-11-09
Issue:1
Volume:8
Page:
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ISSN:2051-5960
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Container-title:Acta Neuropathologica Communications
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language:en
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Short-container-title:acta neuropathol commun
Author:
Mata Douglas A.ORCID, Benhamida Jamal K.ORCID, Lin Andrew L., Vanderbilt Chad M., Yang Soo-Ryum, Villafania Liliana B., Ferguson Donna C., Jonsson Philip, Miller Alexandra M., Tabar Viviane, Brennan Cameron W., Moss Nelson S., Sill Martin, Benayed Ryma, Mellinghoff Ingo K., Rosenblum Marc K., Arcila Maria E., Ladanyi Marc, Bale Tejus A.ORCID
Abstract
Abstract
A subset of glioblastomas (GBMs) harbors potentially druggable oncogenic FGFR3-TACC3 (F3T3) fusions. However, their associated molecular and clinical features are poorly understood. Here we analyze the frequency of F3T3-fusion positivity, its associated genetic and methylation profiles, and its impact on survival in 906 IDH-wildtype GBM patients. We establish an F3T3 prevalence of 4.1% and delineate its associations with cancer signaling pathway alterations. F3T3-positive GBMs had lower tumor mutational and copy-number alteration burdens than F3T3-wildtype GBMs. Although F3T3 fusions were predominantly mutually exclusive with other oncogenic RTK pathway alterations, they did rarely co-occur with EGFR amplification. They were less likely to harbor TP53 alterations. By methylation profiling, they were more likely to be assigned the mesenchymal or RTK II subclass. Despite being older at diagnosis and having similar frequencies of MGMT promoter hypermethylation, patients with F3T3-positive GBMs lived about 8 months longer than those with F3T3-wildtype tumors. While consistent with IDH-wildtype GBM, F3T3-positive GBMs exhibit distinct biological features, underscoring the importance of pursuing molecular studies prior to clinical trial enrollment and targeted treatment.
Funder
National Cancer Institute
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Neurology (clinical),Pathology and Forensic Medicine
Reference44 articles.
1. Akbulut O, Lengerli D, Saatci O, Duman E, Seker UOS, Isik A, Akyol A, Caliskan B, Banoglu E, Şahin Ö (2020) A highly potent TACC3 inhibitor as a novel anti-cancer drug candidate. Mol Cancer Ther. https://doi.org/10.1158/1535-7163.MCT-19-0957 2. Asif S, Fatima R, Krc R, Bennett J, Raza S (2019) Comparative proteogenomic characterization of glioblastoma. CNS Oncol 8:1–13. https://doi.org/10.2217/cns-2019-0003 3. Bady P, Sciuscio D, Diserens A-C, Bloch J, van den Bent MJ, Marosi C, Dietrich P-Y, Weller M, Mariani L, Heppner FL, Mcdonald DR, Lacombe D, Stupp R, Delorenzi M, Hegi ME (2012) MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status. Acta Neuropathol (Berl) 124:547–560. https://doi.org/10.1007/s00401-012-1016-2 4. Bahceci I, Dogrusoz U, La KC, Babur Ö, Gao J, Schultz N (2017) PathwayMapper: a collaborative visual web editor for cancer pathways and genomic data. Bioinforma Oxf Engl 33:2238–2240. https://doi.org/10.1093/bioinformatics/btx149 5. Bao Z-S, Chen H-M, Yang M-Y, Zhang C-B, Yu K, Ye W-L, Hu B-Q, Yan W, Zhang W, Akers J, Ramakrishnan V, Li J, Carter B, Liu Y-W, Hu H-M, Wang Z, Li M-Y, Yao K, Qiu X-G, Kang C-S, You Y-P, Fan X-L, Song WS, Li R-Q, Su X-D, Chen CC, Jiang T (2014) RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas. Genome Res 24:1765–1773. https://doi.org/10.1101/gr.165126.113
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