BACKGROUND Meningiomas are the most common tumors occurring in the central nervous system, with variable recurrence rates depending on World Health Organization grading. Atypical (Grade II) meningioma has a higher rate of recurrence than benign (Grade I) meningioma. The efficacy of adjuvant radiotherapy (RT) to improve tumor control has been questioned. OBJECTIVE To investigate clinical and histopathological predictors of tumor recurrence and radio-resistance in atypical meningiomas. METHODS This cohort study retrospectively reviewed all patients in St. Michael's Hospital CNS tumor patient database who underwent surgical resection of a Grade II meningioma from 1995 to 2015. Cases with neurofibromatosis type II, multiple satellite tumors, spinal cord meningioma, radiation-induced meningioma, and perioperative death were excluded. Patient demographics, neuropathological diagnosis, tumor location, extent of resection, radiation therapy, and time to recurrence or progression were recorded. Cox univariate regression and Kaplan-Meier survival analysis were employed to identify risk factors for recurrence and radio-resistance. RESULTS Among 181 patients, the combination of necrosis and brain invasion was associated with an increased recurrence risk (hazard ratio [HR] = 4.560, P = .001) and the lowest progression-free survival (PFS) relative to other pathological predictors. This trend was maintained after gross total resection (GTR, P = .001). RT was associated with decreased PFS (P = .001), even in patients who received GTR (P = .001). CONCLUSION The combination of necrosis and brain invasion is a strong predictor of tumor recurrence and radio-resistance in meningioma, regardless of EOR or adjuvant RT. Our findings question the sensibility of brain invasion as an absolute criterion for Grade II status.

GBA variants carriers are at increased risk of Parkinson’s disease (PD) and Lewy body dementia (LBD). The presence of pseudogene GBAP1 predisposes to structural variants, complicating genetic analysis. We present two methods to resolve recombinant alleles and other variants in GBA: Gauchian, a tool for short-read, whole-genome sequencing data analysis, and Oxford Nanopore sequencing after PCR enrichment. Both methods were concordant for 42 samples carrying a range of recombinants and GBAP1-related mutations, and Gauchian outperformed the GATK Best Practices pipeline. Applying Gauchian to sequencing of over 10,000 individuals shows that copy number variants (CNVs) spanning GBAP1 are relatively common in Africans. CNV frequencies in PD and LBD are similar to controls. Gains may coexist with other mutations in patients, and a modifying effect cannot be excluded. Gauchian detects more GBA variants in LBD than PD, especially severe ones. These findings highlight the importance of accurate GBA analysis in these patients.

Alzheimer´s Disease (AD) is a highly prevalent neurodegenerative disorder. Despite increasing evidence of the importance of metabolic dysregulation in AD, the underlying metabolic changes that may impact amyloid plaque formation are not understood, particularly for late onset AD. This study analyzed genome-wide association studies (GWAS), transcriptomics and proteomics data obtained from several data repositories to obtain differentially expressed (DE) multi-omics elements in mouse models of AD. We characterized the metabolic modulation in these datasets using gene ontology, transcription factor, pathway, and cell-type enrichment analyses. A predicted lipid signature was extracted from genome-scale metabolic networks (GSMN) and subsequently validated in a lipidomic dataset derived from cortical tissue of ABCA-7 null mice, a mouse model of one of the genes associated with late onset AD. Moreover, a metabolome-wide association study (MWAS) was performed to further characterize the association between dysregulated lipid metabolism in human blood serum and genes associated with AD risk. We found 203 DE transcripts, 164 DE proteins and 58 DE GWAS-derived mouse orthologs associated with significantly enriched metabolic biological processes. Lipid and bioenergetics metabolic pathways were significantly over-represented across the AD multi-omics datasets. Microglia and astrocytes were significantly enriched in the lipid-predominant AD-metabolic This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as

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