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      Gene expression analysis during progression of malignant meningioma compared to benign meningioma

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          Abstract

          OBJECTIVE

          Meningioma is the most common primary intracranial neoplasm. Only 1%–3% of meningiomas are malignant according to the 2016 WHO criteria (WHO grade III). High-grade meningiomas present specific gene expression signatures indicating aggressive growth or recurrence. However, changes in gene expression and in neuroinflammatory gene expression signatures in WHO grade III meningiomas and during progression from WHO grade I or II to grade III are unknown.

          METHODS

          The authors used a NanoString targeted gene expression panel with focus on 787 genes relevant in meningioma pathology and neuroinflammatory pathways to investigate patients with grade III meningiomas treated at Rigshospitalet from 2000 to 2020 (n = 51). A temporal dimension was added to the investigation by including samples from patients’ earlier grade I and II meningiomas and grade III recurrences (n = 139 meningiomas). The authors investigated changes in neuroinflammatory gene expression signatures in 1) grade I meningiomas that later transformed into grade III meningiomas, and 2) grade III meningiomas compared with nonrecurrent grade I meningiomas.

          RESULTS

          The authors’ data indicate that FOXM1, TOP2A, BIRC5, and MYBL2 were enriched and the HOTAIR regulatory pathway was enriched in grade III meningiomas compared with nonrecurrent grade I meningiomas. They discovered a separation of malignant and benign meningiomas based only on genes involved in microglia regulation with enrichment of P2RY12 in grade I compared with grade III meningiomas. Interestingly, FOXM1 was upregulated in premalignant grade I meningioma years before the grade III transformation.

          CONCLUSIONS

          The authors found gene expression changes in low-grade meningiomas that predated histological transformation to grade III meningiomas. Neuroinflammation genes distinguished grade III from grade I meningiomas.

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          Most cited references43

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          The 2021 WHO Classification of Tumors of the Central Nervous System: a summary

          The fifth edition of the WHO Classification of Tumors of the Central Nervous System (CNS), published in 2021, is the sixth version of the international standard for the classification of brain and spinal cord tumors. Building on the 2016 updated fourth edition and the work of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy, the 2021 fifth edition introduces major changes that advance the role of molecular diagnostics in CNS tumor classification. At the same time, it remains wedded to other established approaches to tumor diagnosis such as histology and immunohistochemistry. In doing so, the fifth edition establishes some different approaches to both CNS tumor nomenclature and grading and it emphasizes the importance of integrated diagnoses and layered reports. New tumor types and subtypes are introduced, some based on novel diagnostic technologies such as DNA methylome profiling. The present review summarizes the major general changes in the 2021 fifth edition classification and the specific changes in each taxonomic category. It is hoped that this summary provides an overview to facilitate more in-depth exploration of the entire fifth edition of the WHO Classification of Tumors of the Central Nervous System.
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            Causal analysis approaches in Ingenuity Pathway Analysis

            Motivation: Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks constructed from individual relationships curated from the literature are particularly suited for this task, since they create mechanistic hypotheses that explain the expression changes observed in datasets. Results: We present and discuss a suite of algorithms and tools for inferring and scoring regulator networks upstream of gene-expression data based on a large-scale causal network derived from the Ingenuity Knowledge Base. We extend the method to predict downstream effects on biological functions and diseases and demonstrate the validity of our approach by applying it to example datasets. Availability: The causal analytics tools ‘Upstream Regulator Analysis', ‘Mechanistic Networks', ‘Causal Network Analysis' and ‘Downstream Effects Analysis' are implemented and available within Ingenuity Pathway Analysis (IPA, http://www.ingenuity.com). Supplementary information: Supplementary material is available at Bioinformatics online.
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              Long noncoding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

              Large intervening noncoding RNAs (lincRNAs) are pervasively transcribed in the genome1, 2, 3 yet their potential involvement in human disease is not well understood4,5. Recent studies of dosage compensation, imprinting, and homeotic gene expression suggest that individual lincRNAs can function as the interface between DNA and specific chromatin remodeling activities6,7,8. Here we show that lincRNAs in the HOX loci become systematically dysregulated during breast cancer progression. The lincRNA termed HOTAIR is increased in expression in primary breast tumors and metastases, and HOTAIR expression level in primary tumors is a powerful predictor of eventual metastasis and death. Enforced expression of HOTAIR in epithelial cancer cells induced genome-wide re-targeting of Polycomb Repressive Complex 2 (PRC2) to an occupancy pattern more resembling embryonic fibroblasts, leading to altered histone H3 lysine 27 methylation, gene expression, and increased cancer invasiveness and metastasis in a manner dependent on PRC2. Conversely, loss of HOTAIR can inhibit cancer invasiveness, particularly in cells that possess excessive PRC2 activity. These findings suggest that lincRNAs play active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy.
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                Author and article information

                Journal
                Journal of Neurosurgery
                Journal of Neurosurgery Publishing Group (JNSPG)
                0022-3085
                1933-0693
                September 01 2022
                September 01 2022
                : 1-11
                Affiliations
                [1 ]Departments of Neurosurgery and
                [2 ]Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark;
                [3 ]Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark;
                [4 ]Department of Neurosurgery, Karolinska University Hospital, Solna, Stockholm, Sweden;
                [5 ]Department of Clinical Neuroscience, Karolinska Institutet, Solna, Stockholm, Sweden;
                [6 ]Department of Oncology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark;
                [7 ]Department of Pathology, Danish Reference Center for Prion Diseases, Copenhagen University Hospital, Copenhagen, Denmark;
                [8 ]Department of Ophthalmology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark;
                [9 ]Department of Clinical Medicine and Biotech Research and Innovation Center (BRIC), University of Copenhagen, Copenhagen, Denmark;
                [10 ]Department of Pathology, The Bartholin Institute, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark;
                [11 ]Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark;
                [12 ]Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
                [13 ]Departments of Neurological Surgery and
                [14 ]Radiation Oncology, University of California, San Francisco, California;
                [15 ]Department of Neurosurgery, Odense University Hospital, Odense, Denmark;
                [16 ]Clinical Institute and BRIDGE, University of Southern Denmark, Odense, Denmark; and
                [17 ]Departments of Immunology and Microbiology and
                Article
                10.3171/2022.7.JNS22585
                36115056
                262e3022-f2c8-4b43-b024-124f4e903c2a
                © 2022
                History

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