Multiplatform genomic profiling and magnetic resonance imaging identify mechanisms underlying intratumor heterogeneity in meningioma

• Published in: Nature communications Vol. 11; no. 1; p. 4803
• Main Authors: Magill, Stephen T., Vasudevan, Harish N., Seo, Kyounghee, Villanueva-Meyer, Javier E., Choudhury, Abrar, John Liu, S., Pekmezci, Melike, Findakly, Sarah, Hilz, Stephanie, Lastella, Sydney, Demaree, Benjamin, Braunstein, Steve E., Bush, Nancy Ann Oberheim, Aghi, Manish K., Theodosopoulos, Philip V., Sneed, Penny K., Abate, Adam R., Berger, Mitchel S., McDermott, Michael W., Lim, Daniel A., Ullian, Erik M., Costello, Joseph F., Raleigh, David R.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.09.2020; Nature Portfolio
• Subjects: 13/1; 13/106; 13/109; 13/44; 14; 14/1; 14/19; 14/63; 38; 38/91; 631/114/2114; 631/67/1922; 692/4028/67/2329; 692/4028/67/68/2486; Aged; Antigens, CD - genetics; Brain Neoplasms - diagnostic imaging; Brain Neoplasms - genetics; Brain Neoplasms - metabolism; Brain Neoplasms - pathology; Cadherins - genetics; Diffusion Magnetic Resonance Imaging - methods; Epigenomics; Female; Gene Expression Profiling - methods; Genetic Heterogeneity; Genetic Markers; Genomics; Humanities and Social Sciences; Humans; Magnetic Resonance Imaging - methods; Meningeal Neoplasms - diagnostic imaging; Meningeal Neoplasms - genetics; Meningeal Neoplasms - metabolism; Meningeal Neoplasms - pathology; multidisciplinary; Receptor-Like Protein Tyrosine Phosphatases, Class 5 - genetics; Science; Science (multidisciplinary); Transcriptome
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-020-18582-7

Meningiomas are the most common primary intracranial tumors, but the molecular drivers of meningioma tumorigenesis are poorly understood. We hypothesized that investigating intratumor heterogeneity in meningiomas would elucidate biologic drivers and reveal new targets for molecular therapy. To test this hypothesis, here we perform multiplatform molecular profiling of 86 spatially-distinct samples from 13 human meningiomas. Our data reveal that regional alterations in chromosome structure underlie clonal transcriptomic, epigenomic, and histopathologic signatures in meningioma. Stereotactic co-registration of sample coordinates to preoperative magnetic resonance images further suggest that high apparent diffusion coefficient (ADC) distinguishes meningioma regions with proliferating cells enriched for developmental gene expression programs. To understand the function of these genes in meningioma, we develop a human cerebral organoid model of meningioma and validate the high ADC marker genes CDH2 and PTPRZ1 as potential targets for meningioma therapy using live imaging, single cell RNA sequencing, CRISPR interference, and pharmacology. Meningiomas are heterogeneous tumours. Here, the authors analysed genetic, epigenetic, and transcriptomic features across spatially-distinct meningioma samples to identify molecular programs underlying tumorigenesis that can be detected preoperatively using magnetic resonance imaging.