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Morshed RA, Nguyen MP, Youngblood MW, Perlow HK, Lucas CHG, Patel AJ, Palmer JD, Chandler JP, Theodosopoulos PV, Magill ST, Chen WC, Raleigh DR. Gene Expression Changes Associated With Recurrence After Gross Total Resection of Newly Diagnosed World Health Organization Grade 1 Meningioma. Neurosurgery 2024:00006123-990000000-01302. [PMID: 39101743 DOI: 10.1227/neu.0000000000003133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 06/22/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND AND OBJECTIVE Patients who undergo gross total resection (GTR) of Central Nervous System World Health Organization (WHO) grade 1 meningioma constitute a "low-risk" group, but some low-risk meningiomas can recur despite reassuring clinical and histological features. In this study, gene expression values in newly diagnosed WHO grade 1 meningiomas that had undergone GTR were evaluated for their association with recurrence. METHODS This was a retrospective, international, multicenter cohort study that included WHO grade 1 meningiomas that underwent GTR, as first treatment, based on postoperative magnetic resonance imaging. Normalized gene expression values from a previously validated 34-gene panel were evaluated for their association with recurrence. Kaplan-Meier, multivariable Cox proportional hazard analyses, and K-means clustering were performed to assess the association of genes of interest with recurrence and identify molecular subgroups among clinically and histologically low-risk meningiomas. RESULTS In total, 442 patients with WHO grade 1 meningiomas that underwent GTR and had available gene expression profiling data were included in the study. The median follow-up was 5.0 years (interquartile range 2.6-7.7 years), local recurrence occurred in 36 patients (8.1%), 5-year local freedom from recurrence was 90.5%, and median time to recurrence was 2.9 years (range 0.5-10.7 years). Eleven genes were associated with local recurrence, including lower expression of ARID1B, ESR1, LINC02593, PGR, and TMEM30B and higher expression of CDK6, CDKN2C, CKS2, KIF20A, PGK1, and TAGLN. Of these genes, PGK1 had the largest effect size. K-means clustering based on these 11 genes distinguished 2 molecular groups of clinically and histologically low-risk meningiomas with significant differences in local freedom from recurrence (hazard ratio 2.5, 95% CI 1.2-5.1, P = .016). CONCLUSION Gene expression profiling may help to identify newly diagnosed WHO grade 1 meningiomas that have an elevated risk of recurrence despite GTR.
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Affiliation(s)
- Ramin A Morshed
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Minh P Nguyen
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of California San Francisco, San Francisco, California, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois, USA
| | - Haley K Perlow
- Department of Radiation Oncology, Ohio State University, Columbus, Ohio, USA
| | - Calixto-Hope G Lucas
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University, Columbus, Ohio, USA
| | - James P Chandler
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois, USA
| | - William C Chen
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California, USA
| | - David R Raleigh
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of California San Francisco, San Francisco, California, USA
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Shetty A, Wang S, Khan AB, English CW, Nouri SH, Magill ST, Raleigh DR, Klisch TJ, Harmanci AO, Patel AJ, Harmanci AS. Leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA-sequencing data. J Neurooncol 2024; 168:515-524. [PMID: 38811523 DOI: 10.1007/s11060-024-04710-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 05/03/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE Accurate classification of cancer subgroups is essential for precision medicine, tailoring treatments to individual patients based on their cancer subtypes. In recent years, advances in high-throughput sequencing technologies have enabled the generation of large-scale transcriptomic data from cancer samples. These data have provided opportunities for developing computational methods that can improve cancer subtyping and enable better personalized treatment strategies. METHODS Here in this study, we evaluated different feature selection schemes in the context of meningioma classification. To integrate interpretable features from the bulk (n = 77 samples) and single-cell profiling (∼ 10 K cells), we developed an algorithm named CLIPPR which combines the top-performing single-cell models, RNA-inferred copy number variation (CNV) signals, and the initial bulk model to create a meta-model. RESULTS While the scheme relying solely on bulk transcriptomic data showed good classification accuracy, it exhibited confusion between malignant and benign molecular classes in approximately ∼ 8% of meningioma samples. In contrast, models trained on features learned from meningioma single-cell data accurately resolved the sub-groups confused by bulk-transcriptomic data but showed limited overall accuracy. CLIPPR showed superior overall accuracy and resolved benign-malignant confusion as validated on n = 789 bulk meningioma samples gathered from multiple institutions. Finally, we showed the generalizability of our algorithm using our in-house single-cell (∼ 200 K cells) and bulk TCGA glioma data (n = 711 samples). CONCLUSION Overall, our algorithm CLIPPR synergizes the resolution of single-cell data with the depth of bulk sequencing and enables improved cancer sub-group diagnoses and insights into their biology.
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Affiliation(s)
- Arya Shetty
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- McGovern Medical School, Houston, TX, USA
| | - Su Wang
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - A Basit Khan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Collin W English
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | | | - Stephen T Magill
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - David R Raleigh
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Tiemo J Klisch
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Center for Cancer Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Arif O Harmanci
- McWilliams School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
- Center for Cancer Neuroscience, Baylor College of Medicine, Houston, TX, USA.
- Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, TX, USA.
| | - Akdes Serin Harmanci
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
- Center for Cancer Neuroscience, Baylor College of Medicine, Houston, TX, USA.
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Lucas CHG, Mirchia K, Seo K, Najem H, Chen WC, Zakimi N, Foster K, Eaton CD, Cady MA, Choudhury A, Liu SJ, Phillips JJ, Magill ST, Horbinski CM, Solomon DA, Perry A, Vasudevan HN, Heimberger AB, Raleigh DR. Spatial genomic, biochemical and cellular mechanisms underlying meningioma heterogeneity and evolution. Nat Genet 2024; 56:1121-1133. [PMID: 38760638 PMCID: PMC11239374 DOI: 10.1038/s41588-024-01747-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 04/08/2024] [Indexed: 05/19/2024]
Abstract
Intratumor heterogeneity underlies cancer evolution and treatment resistance, but targetable mechanisms driving intratumor heterogeneity are poorly understood. Meningiomas are the most common primary intracranial tumors and are resistant to all medical therapies, and high-grade meningiomas have significant intratumor heterogeneity. Here we use spatial approaches to identify genomic, biochemical and cellular mechanisms linking intratumor heterogeneity to the molecular, temporal and spatial evolution of high-grade meningiomas. We show that divergent intratumor gene and protein expression programs distinguish high-grade meningiomas that are otherwise grouped together by current classification systems. Analyses of matched pairs of primary and recurrent meningiomas reveal spatial expansion of subclonal copy number variants associated with treatment resistance. Multiplexed sequential immunofluorescence and deconvolution of meningioma spatial transcriptomes using cell types from single-cell RNA sequencing show decreased immune infiltration, decreased MAPK signaling, increased PI3K-AKT signaling and increased cell proliferation, which are associated with meningioma recurrence. To translate these findings to preclinical models, we use CRISPR interference and lineage tracing approaches to identify combination therapies that target intratumor heterogeneity in meningioma cell co-cultures.
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Affiliation(s)
- Calixto-Hope G Lucas
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
- Department of Oncology, Johns Hopkins University, Baltimore, MD, USA
| | - Kanish Mirchia
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Kyounghee Seo
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Hinda Najem
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - William C Chen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Naomi Zakimi
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Kyla Foster
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Charlotte D Eaton
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Martha A Cady
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Abrar Choudhury
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - S John Liu
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Craig M Horbinski
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
- Department of Pathology, Northwestern University, Chicago, IL, USA
| | - David A Solomon
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Arie Perry
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Amy B Heimberger
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
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Aung TM, Ngamjarus C, Proungvitaya T, Saengboonmee C, Proungvitaya S. Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis. PLoS One 2024; 19:e0303337. [PMID: 38758750 PMCID: PMC11101050 DOI: 10.1371/journal.pone.0303337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 04/23/2024] [Indexed: 05/19/2024] Open
Abstract
Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.
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Affiliation(s)
- Tin May Aung
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | - Chetta Ngamjarus
- Department of Epidemiology and Biostatistics, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand
| | - Tanakorn Proungvitaya
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | - Charupong Saengboonmee
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Siriporn Proungvitaya
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
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5
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Trybula SJ, Youngblood MW, Karras CL, Murthy NK, Heimberger AB, Lukas RV, Sachdev S, Kalapurakal JA, Chandler JP, Brat DJ, Horbinski CM, Magill ST. The Evolving Classification of Meningiomas: Integration of Molecular Discoveries to Inform Patient Care. Cancers (Basel) 2024; 16:1753. [PMID: 38730704 PMCID: PMC11083836 DOI: 10.3390/cancers16091753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
Meningioma classification and treatment have evolved over the past eight decades. Since Bailey, Cushing, and Eisenhart's description of meningiomas in the 1920s and 1930s, there have been continual advances in clinical stratification by histopathology, radiography and, most recently, molecular profiling, to improve prognostication and predict response to therapy. Precise and accurate classification is essential to optimizing management for patients with meningioma, which involves surveillance imaging, surgery, primary or adjuvant radiotherapy, and consideration for clinical trials. Currently, the World Health Organization (WHO) grade, extent of resection (EOR), and patient characteristics are used to guide management. While these have demonstrated reliability, a substantial number of seemingly benign lesions recur, suggesting opportunities for improvement of risk stratification. Furthermore, the role of adjuvant radiotherapy for grade 1 and 2 meningioma remains controversial. Over the last decade, numerous studies investigating the molecular drivers of clinical aggressiveness have been reported, with the identification of molecular markers that carry clinical implications as well as biomarkers of radiotherapy response. Here, we review the historical context of current practices, highlight recent molecular discoveries, and discuss the challenges of translating these findings into clinical practice.
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Affiliation(s)
- S. Joy Trybula
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Mark W. Youngblood
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Constantine L. Karras
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Nikhil K. Murthy
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Amy B. Heimberger
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Rimas V. Lukas
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sean Sachdev
- Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - John A. Kalapurakal
- Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - James P. Chandler
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Daniel J. Brat
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Craig M. Horbinski
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Stephen T. Magill
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Korte B, Mathios D. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas. Int J Mol Sci 2024; 25:4195. [PMID: 38673779 PMCID: PMC11050588 DOI: 10.3390/ijms25084195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/26/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
Meningiomas are tumors of the central nervous system that vary in their presentation, ranging from benign and slow-growing to highly aggressive. The standard method for diagnosing and classifying meningiomas involves invasive surgery and can fail to provide accurate prognostic information. Liquid biopsy methods, which exploit circulating tumor biomarkers such as DNA, extracellular vesicles, micro-RNA, proteins, and more, offer a non-invasive and dynamic approach for tumor classification, prognostication, and evaluating treatment response. Currently, a clinically approved liquid biopsy test for meningiomas does not exist. This review provides a discussion of current research and the challenges of implementing liquid biopsy techniques for advancing meningioma patient care.
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Affiliation(s)
- Brianna Korte
- Department of Neurosurgery, Washington University Medical Campus, St. Louis, MO 63110, USA
| | - Dimitrios Mathios
- Department of Neurosurgery, Washington University Medical Campus, St. Louis, MO 63110, USA
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Zakimi N, Nguyen MP, Raleigh DR. Gene transcript fusions are associated with clinical outcomes and molecular groups of meningiomas. Acta Neuropathol 2024; 147:57. [PMID: 38509407 PMCID: PMC10954959 DOI: 10.1007/s00401-024-02708-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/22/2024]
Affiliation(s)
- Naomi Zakimi
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Minh P Nguyen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
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Szulzewsky F, Thirimanne HN, Holland EC. Meningioma: current updates on genetics, classification, and mouse modeling. Ups J Med Sci 2024; 129:10579. [PMID: 38571886 PMCID: PMC10989216 DOI: 10.48101/ujms.v129.10579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 04/05/2024] Open
Abstract
Meningiomas, the most common primary brain tumors in adults, are often benign and curable by surgical resection. However, a subset is of higher grade, shows aggressive growth behavior as well as brain invasion, and often recurs even after several rounds of surgery. Increasing evidence suggests that tumor classification and grading primarily based on histopathology do not always accurately predict tumor aggressiveness and recurrence behavior. The underlying biology of aggressive treatment-resistant meningiomas and the impact of specific genetic aberrations present in these high-grade tumors is still only insufficiently understood. Therefore, an in-depth research into the biology of this tumor type is warranted. More recent studies based on large-scale molecular data such as whole exome/genome sequencing, DNA methylation sequencing, and RNA sequencing have provided new insights into the biology of meningiomas and have revealed new risk factors and prognostic subtypes. The most common genetic aberration in meningiomas is functional loss of NF2 and occurs in both low- and high-grade meningiomas, whereas NF2-wildtype meningiomas are enriched for recurrent mutations in TRAF7, KLF4, AKT1, PI3KCA, and SMO and are more frequently benign. Most meningioma mouse models are based on patient-derived xenografts and only recently have new genetically engineered mouse models of meningioma been developed that will aid in the systematic evaluation of specific mutations found in meningioma and their impact on tumor behavior. In this article, we review recent advances in the understanding of meningioma biology and classification and highlight the most common genetic mutations, as well as discuss new genetically engineered mouse models of meningioma.
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Affiliation(s)
- Frank Szulzewsky
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Eric C. Holland
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Seattle Translational Tumor Research Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
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Wang B, Wang M, Lin Y, Zhao J, Gu H, Li X. Circulating tumor DNA methylation: a promising clinical tool for cancer diagnosis and management. Clin Chem Lab Med 2024; 0:cclm-2023-1327. [PMID: 38443752 DOI: 10.1515/cclm-2023-1327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Cancer continues to pose significant challenges to the medical community. Early detection, accurate molecular profiling, and adequate assessment of treatment response are critical factors in improving the quality of life and survival of cancer patients. Accumulating evidence shows that circulating tumor DNA (ctDNA) shed by tumors into the peripheral blood preserves the genetic and epigenetic information of primary tumors. Notably, DNA methylation, an essential and stable epigenetic modification, exhibits both cancer- and tissue-specific patterns. As a result, ctDNA methylation has emerged as a promising molecular marker for noninvasive testing in cancer clinics. In this review, we summarize the existing techniques for ctDNA methylation detection, describe the current research status of ctDNA methylation, and present the potential applications of ctDNA-based assays in the clinic. The insights presented in this article could serve as a roadmap for future research and clinical applications of ctDNA methylation.
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Affiliation(s)
- Binliang Wang
- Department of Respiratory Medicine, Huangyan Hospital Affiliated to Wenzhou Medical University, Taizhou, P.R. China
| | - Meng Wang
- Institute of Health Education, Hangzhou Center for Disease Control and Prevention, Hangzhou, P.R. China
| | - Ya Lin
- Zhejiang University of Chinese Medicine, Hangzhou, P.R. China
| | - Jinlan Zhao
- Scientific Research Department, Zhejiang Shengting Medical Company, Hangzhou, P.R. China
| | - Hongcang Gu
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, P.R. China
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, P.R. China
| | - Xiangjuan Li
- Department of Gynaecology, Hangzhou Obstetrics and Gynecology Hospital, Hangzhou, P.R. China
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Marastoni E, Barresi V. Atypical meningioma: Histopathological, genetic, and epigenetic features to predict recurrence risk. Histol Histopathol 2024; 39:293-302. [PMID: 37921468 DOI: 10.14670/hh-18-670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Grading assessed according to World Health Organization (WHO) criteria is a major prognostic factor for determining the risk of recurrence in patients with meningiomas and establishing the most appropriate therapeutic strategy after surgery. However, the main issue is to predict the recurrence risk of WHO grade 2 meningioma and, more specifically, of the atypical subtype. Indeed, owing to a reported recurrence rate of 50%, either radiotherapy or observation is currently considered an option after gross total surgical resection of atypical meningiomas. These heterogeneous clinical outcomes are likely related to the broad histopathological diagnostic criteria for this subtype, and whether meningiomas only present as brain invasion should be classified as atypical remains controversial. Over the last few years, several studies have shown that DNA methylation profiling, next-generation sequencing, and transcriptomics can better stratify meningiomas for their recurrence risk than histology. The main limitations to the widespread use of these approaches to classify meningiomas are their high cost and the need for sophisticated technologies. However, all studies concurred that atypical meningiomas without chromosome 1p deletion display a low recurrence risk, suggesting that the assessment of this cytogenetic alteration could represent an easy and quick method to determine which patients could benefit from adjuvant treatment after surgery. In addition, prognostically unfavorable molecular groups can be distinguished using specific immunostainings, although further validation is required.
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Affiliation(s)
- Elena Marastoni
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Valeria Barresi
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
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11
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Singh J, Sahu S, Mohan T, Mahajan S, Sharma MC, Sarkar C, Suri V. Current status of DNA methylation profiling in neuro-oncology as a diagnostic support tool: A review. Neurooncol Pract 2023; 10:518-526. [PMID: 38009119 PMCID: PMC10666812 DOI: 10.1093/nop/npad040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2023] Open
Abstract
Over the last 2 decades, high throughput genome-wide molecular profiling has revealed characteristic genetic and epigenetic alterations associated with different types of central nervous system (CNS) tumors. DNA methylation profiling has emerged as an important molecular platform for CNS tumor classification with improved diagnostic accuracy and patient risk stratification in comparison to the standard of care histopathological analysis and any single molecular tests. The emergence of DNA methylation arrays have also played a crucial role in refining existing types and the discovery of new tumor types or subtypes. The adoption of methylation data into neuro-oncology has been greatly aided by the development of a freely accessible machine learning-based classifier. In this review, we discuss methylation workflow, address the utility of DNA methylation profiling in CNS tumors in a routine diagnostic setting, and provide an overview of the methylation-based tumor types and new types or subtypes identified with this platform.
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Affiliation(s)
- Jyotsna Singh
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Saumya Sahu
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Trishala Mohan
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Swati Mahajan
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Mehar C Sharma
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Chitra Sarkar
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Vaishali Suri
- Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
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12
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Chen WC, Choudhury A, Youngblood MW, Polley MYC, Lucas CHG, Mirchia K, Maas SLN, Suwala AK, Won M, Bayley JC, Harmanci AS, Harmanci AO, Klisch TJ, Nguyen MP, Vasudevan HN, McCortney K, Yu TJ, Bhave V, Lam TC, Pu JKS, Li LF, Leung GKK, Chan JW, Perlow HK, Palmer JD, Haberler C, Berghoff AS, Preusser M, Nicolaides TP, Mawrin C, Agnihotri S, Resnick A, Rood BR, Chew J, Young JS, Boreta L, Braunstein SE, Schulte J, Butowski N, Santagata S, Spetzler D, Bush NAO, Villanueva-Meyer JE, Chandler JP, Solomon DA, Rogers CL, Pugh SL, Mehta MP, Sneed PK, Berger MS, Horbinski CM, McDermott MW, Perry A, Bi WL, Patel AJ, Sahm F, Magill ST, Raleigh DR. Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses. Nat Med 2023; 29:3067-3076. [PMID: 37944590 PMCID: PMC11073469 DOI: 10.1038/s41591-023-02586-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/11/2023] [Indexed: 11/12/2023]
Abstract
Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and indications for postoperative radiotherapy are controversial. Here we develop a targeted gene expression biomarker that predicts meningioma outcomes and radiotherapy responses. Using a discovery cohort of 173 meningiomas, we developed a 34-gene expression risk score and performed clinical and analytical validation of this biomarker on independent meningiomas from 12 institutions across 3 continents (N = 1,856), including 103 meningiomas from a prospective clinical trial. The gene expression biomarker improved discrimination of outcomes compared with all other systems tested (N = 9) in the clinical validation cohort for local recurrence (5-year area under the curve (AUC) 0.81) and overall survival (5-year AUC 0.80). The increase in AUC compared with the standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval 0.07 to 0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% confidence interval 0.37 to 0.78, P = 0.0001) and suggested postoperative management could be refined for 29.8% of patients. In sum, our results identify a targeted gene expression biomarker that improves discrimination of meningioma outcomes, including prediction of postoperative radiotherapy responses.
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Affiliation(s)
- William C Chen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
| | - Abrar Choudhury
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Mei-Yin C Polley
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | | | - Kanish Mirchia
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Sybren L N Maas
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Abigail K Suwala
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - Minhee Won
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - James C Bayley
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Akdes S Harmanci
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Arif O Harmanci
- Center for Secure Artificial Intelligence for Healthcare, Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, USA
| | - Tiemo J Klisch
- Department of Molecular and Human Genetics, Baylor College of Medicine, and Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Minh P Nguyen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Kathleen McCortney
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - Theresa J Yu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Varun Bhave
- Department of Neurosurgery, Brigham and Women's Hospital, and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tai-Chung Lam
- Department of Clinical Oncology, The University of Hong Kong, Pokfulam, China
| | - Jenny Kan-Suen Pu
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Lai-Fung Li
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Gilberto Ka-Kit Leung
- Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China
| | - Jason W Chan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Haley K Perlow
- Department of Radiation Oncology, Ohio State University, Columbus, OH, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University, Columbus, OH, USA
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | | | - Christian Mawrin
- Department of Neuropathology, University of Magdeburg, Magdeburg, Germany
| | - Sameer Agnihotri
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adam Resnick
- Department of Neurological Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Brian R Rood
- Brain Tumor Institute, Children's National Hospital, Washington, DC, USA
| | - Jessica Chew
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Jacob S Young
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Lauren Boreta
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Steve E Braunstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Jessica Schulte
- Neurosciences Department, University of California San Diego, La Jolla, CA, USA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - James P Chandler
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - David A Solomon
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - C Leland Rogers
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - Stephanie L Pugh
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
| | - Minesh P Mehta
- NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA
- Miami Neuroscience Institute, Baptist Health, Miami, FL, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Craig M Horbinski
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
- Department of Pathology, Northwestern University, Chicago, IL, USA
| | | | - Arie Perry
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Akash J Patel
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA.
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
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13
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Meredith DM, Pisapia DJ. 2021 World Health Organization Classification of Brain Tumors. Continuum (Minneap Minn) 2023; 29:1638-1661. [PMID: 38085892 DOI: 10.1212/con.0000000000001355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
OBJECTIVE The classification of brain tumors is a rapidly evolving field that requires extensive integration of molecular diagnostic findings from an expanding set of platforms and assays. This article summarizes the schema presented in the 5th edition of the World Health Organization (WHO) classification of central nervous system (CNS) tumors while highlighting diagnostic molecular findings and discussing the strengths and weaknesses of commonly available testing modalities. LATEST DEVELOPMENTS Several major changes in practice were introduced with the 5th edition of the CNS WHO classification, including molecular grading of adult diffuse gliomas, the introduction of many new entities within the spectrum of pediatric gliomas and glioneuronal tumors, and the widespread adoption of methylation classes as useful or even necessary diagnostic criteria. Additionally, several revisions to nomenclature (eg, IDH-mutant gliomas) were introduced for simplicity and to disambiguate from other tumor types. ESSENTIAL POINTS The classification of brain tumors continues to grow in complexity alongside our improved understanding of their nuanced molecular underpinnings.
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Tomanelli M, Florio T, Vargas GC, Pagano A, Modesto P. Domestic Animal Models of Central Nervous System Tumors: Focus on Meningiomas. Life (Basel) 2023; 13:2284. [PMID: 38137885 PMCID: PMC10744527 DOI: 10.3390/life13122284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/09/2023] [Indexed: 12/24/2023] Open
Abstract
Intracranial primary tumors (IPTs) are aggressive forms of malignancies that cause high mortality in both humans and domestic animals. Meningiomas are frequent adult IPTs in humans, dogs, and cats, and both benign and malignant forms cause a decrease in life quality and survival. Surgery is the primary therapeutic approach to treat meningiomas, but, in many cases, it is not resolutive. The chemotherapy and targeted therapy used to treat meningiomas also display low efficacy and many side effects. Therefore, it is essential to find novel pharmacological approaches to increase the spectrum of therapeutic options for meningiomas. This review analyzes the similarities between human and domestic animal (dogs and cats) meningiomas by evaluating the molecular and histological characteristics, diagnosis criteria, and treatment options and highlighting possible research areas to identify novel targets and pharmacological approaches, which are useful for the diagnosis and therapy of this neoplasia to be used in human and veterinary medicine.
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Affiliation(s)
- Michele Tomanelli
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
| | - Tullio Florio
- Pharmacology Section, Department of Internal Medicine (DIMI), University of Genova, 16126 Genova, Italy;
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Gabriela Coronel Vargas
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
| | - Aldo Pagano
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Paola Modesto
- National Reference Center for Veterinary and Comparative Oncology, Veterinary Medical Research Institute for Piemonte, Liguria and Valle d’Aosta, 10154 Torino, Italy
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15
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Halabi R, Dakroub F, Haider MZ, Patel S, Amhaz NA, Reslan MA, Eid AH, Mechref Y, Darwiche N, Kobeissy F, Omeis I, Shaito AA. Unveiling a Biomarker Signature of Meningioma: The Need for a Panel of Genomic, Epigenetic, Proteomic, and RNA Biomarkers to Advance Diagnosis and Prognosis. Cancers (Basel) 2023; 15:5339. [PMID: 38001599 PMCID: PMC10670806 DOI: 10.3390/cancers15225339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Meningiomas are the most prevalent primary intracranial tumors. The majority are benign but can undergo dedifferentiation into advanced grades classified by World Health Organization (WHO) into Grades 1 to 3. Meningiomas' tremendous variability in tumor behavior and slow growth rates complicate their diagnosis and treatment. A deeper comprehension of the molecular pathways and cellular microenvironment factors implicated in meningioma survival and pathology is needed. This review summarizes the known genetic and epigenetic aberrations involved in meningiomas, with a focus on neurofibromatosis type 2 (NF2) and non-NF2 mutations. Novel potential biomarkers for meningioma diagnosis and prognosis are also discussed, including epigenetic-, RNA-, metabolomics-, and protein-based markers. Finally, the landscape of available meningioma-specific animal models is overviewed. Use of these animal models can enable planning of adjuvant treatment, potentially assisting in pre-operative and post-operative decision making. Discovery of novel biomarkers will allow, in combination with WHO grading, more precise meningioma grading, including meningioma identification, subtype determination, and prediction of metastasis, recurrence, and response to therapy. Moreover, these biomarkers may be exploited in the development of personalized targeted therapies that can distinguish between the 15 diverse meningioma subtypes.
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Affiliation(s)
- Reem Halabi
- Department of Biological and Chemical Sciences, Lebanese International University, Beirut 1105, Lebanon;
| | - Fatima Dakroub
- Department of Experimental Pathology, Microbiology and Immunology and Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut 1107, Lebanon;
| | - Mohammad Z. Haider
- Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar; (M.Z.H.); (A.H.E.)
| | - Stuti Patel
- Department of Biology, University of Florida, Gainesville, FL 32601, USA; (S.P.); (N.A.A.)
| | - Nayef A. Amhaz
- Department of Biology, University of Florida, Gainesville, FL 32601, USA; (S.P.); (N.A.A.)
| | - Mohammad A. Reslan
- Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut 1107, Lebanon; (M.A.R.); (N.D.); (F.K.)
| | - Ali H. Eid
- Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar; (M.Z.H.); (A.H.E.)
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA;
| | - Nadine Darwiche
- Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut 1107, Lebanon; (M.A.R.); (N.D.); (F.K.)
| | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut 1107, Lebanon; (M.A.R.); (N.D.); (F.K.)
- Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Ibrahim Omeis
- Hammoud Hospital University Medical Center, Saida 652, Lebanon
- Division of Neurosurgery, Penn Medicine, Lancaster General Health, Lancaster, PA 17601, USA
| | - Abdullah A. Shaito
- Biomedical Research Center, College of Medicine, and Department of Biomedical Sciences at College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar
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16
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Padevit L, Vasella F, Friedman J, Mutschler V, Jenkins F, Held U, Rushing EJ, Wirsching HG, Weller M, Regli L, Neidert MC. A prognostic model for tumor recurrence and progression after meningioma surgery: preselection for further molecular work-up. Front Oncol 2023; 13:1279933. [PMID: 38023177 PMCID: PMC10646388 DOI: 10.3389/fonc.2023.1279933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose The selection of patients for further therapy after meningioma surgery remains a challenge. Progress has been made in this setting in selecting patients that are more likely to have an aggressive disease course by using molecular tests such as gene panel sequencing and DNA methylation profiling. The aim of this study was to create a preselection tool warranting further molecular work-up. Methods All patients undergoing surgery for resection or biopsy of a cranial meningioma from January 2013 until December 2018 at the University Hospital Zurich with available tumor histology were included. Various prospectively collected clinical, radiological, histological and immunohistochemical variables were analyzed and used to train a logistic regression model to predict tumor recurrence or progression. Regression coefficients were used to generate a scoring system grading every patient into low, intermediate, and high-risk group for tumor progression or recurrence. Results Out of a total of 13 variables preselected for this study, previous meningioma surgery, Simpson grade, progesterone receptor staining as well as presence of necrosis and patternless growth on histopathological analysis of 378 patients were included into the final model. Discrimination showed an AUC of 0.81 (95% CI 0.73 - 0.88), the model was well-calibrated. Recurrence-free survival was significantly decreased in patients in intermediate and high-risk score groups (p-value < 0.001). Conclusion The proposed prediction model showed good discrimination and calibration. This prediction model is based on easily obtainable information and can be used as an adjunct for patient selection for further molecular work-up in a tertiary hospital setting.
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Affiliation(s)
- Luis Padevit
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Flavio Vasella
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jason Friedman
- Department of Informatics, Eidgenössische Technische Hochschule (ETH) Zürich, Zurich, Switzerland
| | - Valentino Mutschler
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Freya Jenkins
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Ulrike Held
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Elisabeth Jane Rushing
- Department of Neuropathology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Hans-Georg Wirsching
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Marian Christoph Neidert
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurosurgery, Kantonsspital St. Gallen, St. Gallen, Switzerland
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17
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Herrgott GA, Snyder JM, She R, Malta TM, Sabedot TS, Lee IY, Pawloski J, Podolsky-Gondim GG, Asmaro KP, Zhang J, Cannella CE, Nelson K, Thomas B, deCarvalho AC, Hasselbach LA, Tundo KM, Newaz R, Transou A, Morosini N, Francisco V, Poisson LM, Chitale D, Mukherjee A, Mosella MS, Robin AM, Walbert T, Rosenblum M, Mikkelsen T, Kalkanis S, Tirapelli DPC, Weisenberger DJ, Carlotti CG, Rock J, Castro AV, Noushmehr H. Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas. Nat Commun 2023; 14:5669. [PMID: 37704607 PMCID: PMC10499807 DOI: 10.1038/s41467-023-41434-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/31/2023] [Indexed: 09/15/2023] Open
Abstract
Recurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to recur using noninvasive approaches could inform treatment strategy, whether intervention or monitoring. In this study, we analyze the DNA methylation levels in blood (serum and plasma) and tissue samples from 155 meningioma patients, compared to other central nervous system tumor and non-tumor entities. We discover DNA methylation markers unique to meningiomas and use artificial intelligence to create accurate and universal models for identifying and predicting meningioma recurrence, using either blood or tissue samples. Here we show that liquid biopsy is a potential noninvasive and reliable tool for diagnosing and predicting outcomes in meningioma patients. This approach can improve personalized management strategies for these patients.
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Affiliation(s)
- Grayson A Herrgott
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - James M Snyder
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Ruicong She
- Department of Public Health, Biostatistics, Henry Ford Health, Detroit, MI, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Thais S Sabedot
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Ian Y Lee
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Jacob Pawloski
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Guilherme G Podolsky-Gondim
- Department of Neurosurgery, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Karam P Asmaro
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Jiaqi Zhang
- Department of Public Health, Biostatistics, Henry Ford Health, Detroit, MI, USA
| | - Cara E Cannella
- Department of Public Health, Biostatistics, Henry Ford Health, Detroit, MI, USA
| | - Kevin Nelson
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Bartow Thomas
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Ana C deCarvalho
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Laura A Hasselbach
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Kelly M Tundo
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Rehnuma Newaz
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Andrea Transou
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Natalia Morosini
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Victor Francisco
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Laila M Poisson
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
- Department of Public Health, Biostatistics, Henry Ford Health, Detroit, MI, USA
| | | | - Abir Mukherjee
- Department of Pathology, Henry Ford Health, Detroit, MI, USA
| | - Maritza S Mosella
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Adam M Robin
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Tobias Walbert
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Mark Rosenblum
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Tom Mikkelsen
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Steven Kalkanis
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Daniela P C Tirapelli
- Department of Neurosurgery, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Daniel J Weisenberger
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Carlos G Carlotti
- Department of Neurosurgery, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Jack Rock
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA
| | - Ana Valeria Castro
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA.
- Department of Physiology, Michigan State University, E. Lansing, MI, USA.
| | - Houtan Noushmehr
- Department of Neurosurgery, Omics Laboratory, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, MI, USA.
- Department of Physiology, Michigan State University, E. Lansing, MI, USA.
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Kober P, Mossakowska BJ, Rusetska N, Baluszek S, Grecka E, Konopiński R, Matyja E, Oziębło A, Mandat T, Bujko M. Epigenetic Downregulation of Hsa-miR-193b-3p Increases Cyclin D1 Expression Level and Cell Proliferation in Human Meningiomas. Int J Mol Sci 2023; 24:13483. [PMID: 37686289 PMCID: PMC10487813 DOI: 10.3390/ijms241713483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
Meningiomas are common intracranial tumors in adults. Abnormal microRNA (miRNA) expression plays a role in their pathogenesis. Change in miRNA expression level can be caused by impaired epigenetic regulation of miRNA-encoding genes. We found the genomic region covering the MIR193B gene to be DNA hypermethylated in meningiomas based on analysis of genome-wide methylation (HumanMethylation450K Illumina arrays). Hypermethylation of MIR193B was also confirmed via bisulfite pyrosequencing. Both hsa-miR-193b-3p and hsa-miR-193b-5p are downregulated in meningiomas. Lower expression of hsa-miR-193b-3p and higher MIR193B methylation was observed in World Health Organization (WHO) grade (G) II/III tumors as compared to GI meningiomas. CCND1 mRNA was identified as a target of hsa-miR-193b-3p as further validated using luciferase reporter assay in IOMM-Lee meningioma cells. IOMM-Lee cells transfected with hsa-miR-193b-3p mimic showed a decreased cyclin D1 level and lower cell viability and proliferation, confirming the suppressive nature of this miRNA. Cyclin D1 protein expression (immunoreactivity) was higher in atypical than in benign meningiomas, accordingly to observations of lower hsa-miR-193b-3p levels in GII tumors. The commonly observed hypermethylation of MIR193B in meningiomas apparently contributes to the downregulation of hsa-miR-193b-3p. Since hsa-miR-193b-3p regulates proliferation of meningioma cells through negative regulation of cyclin D1 expression, it seems to be an important tumor suppressor in meningiomas.
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Affiliation(s)
- Paulina Kober
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Beata Joanna Mossakowska
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Natalia Rusetska
- Department of Experimental Immunology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland (R.K.)
| | - Szymon Baluszek
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Emilia Grecka
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Ryszard Konopiński
- Department of Experimental Immunology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland (R.K.)
| | - Ewa Matyja
- Department of Experimental and Clinical Neuropathology, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Artur Oziębło
- Department of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Tomasz Mandat
- Department of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Mateusz Bujko
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
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19
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Clynch A, Richardson GE, Mustafa MA, Gillespie CS, Rathi N, Bakhsh A, Zakaria R, Islim AI, Millward CP, Jenkinson MD. Beyond the WHO classification of meningioma: using molecular diagnostics to guide management. ADVANCES IN CLINICAL NEUROSCIENCE & REHABILITATION 2023; 22:WVJZ9783. [PMID: 37860270 PMCID: PMC7615222 DOI: 10.47795/wvjz9783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Meningioma are the most common primary brain tumour. Classically, meningioma are phenotypically grouped using the World Health Organisation (WHO) classification system. However, it is now understood that the WHO approach overfits tumours into three grades, resulting in similarly graded tumours displaying phenotypically distinct behaviour. There is a growing body of research investigating the molecular biology of these tumours, including genomic, transcriptomic, metabolomic, proteomic, and methylomic profiling. Such advancements in molecular profiling of meningioma are providing greater accuracy in prognostication of tumours. Furthermore, a clearer understanding of tumour molecular biology highlights potential targets for pharmacotherapies. Currently, the routine application of in-depth tumour molecular analysis is limited, however as it becomes more widely available it will likely result in improved patient care. This review seeks to explore the important developments in meningioma molecular biology, discussed in the context of their clinical importance.
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20
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Azab MA, Cole K, Earl E, Cutler C, Mendez J, Karsy M. Medical Management of Meningiomas. Neurosurg Clin N Am 2023; 34:319-333. [PMID: 37210123 DOI: 10.1016/j.nec.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Meningiomas represent the most common type of benign tumor of the extra-axial compartment. Although most meningiomas are benign World Health Organization (WHO) grade 1 lesions, the increasingly prevalent of WHO grade 2 lesion and occasional grade 3 lesions show worsened recurrence rates and morbidity. Multiple medical treatments have been evaluated but show limited efficacy. We review the status of medical management in meningiomas, highlighting successes and failures of various treatment options. We also explore newer studies evaluating the use of immunotherapy in management.
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Affiliation(s)
- Mohammed A Azab
- Biomolecular Sciences Graduate Program, Boise State University, 1910 University Drive, Boise, ID 83725, USA
| | - Kyril Cole
- School of Medicine, University of Utah, 30 North 1900 East, Salt Lake City, UT 84132, USA
| | - Emma Earl
- School of Medicine, University of Utah, 30 North 1900 East, Salt Lake City, UT 84132, USA
| | - Chris Cutler
- Chicago Medical School, Rosalind Franklin University of Medicine and Science, 3333 N Green Bay Rd., North Chicago, IL 60064, USA
| | - Joe Mendez
- Department of Neurosurgery, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Dr., Salt Lake City, UT 84112, USA
| | - Michael Karsy
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, 175 North Medical Drive East, Salt Lake City, UT 84132, USA.
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21
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Ma J, Li D, Hong Y, Zhang Y, Song L, Chen L, Chen Y, Zhang J, Wu Z, Zhang D, Wang L. Different clinical and cytogenetic features of primary skull base meningiomas and non-skull base meningiomas. J Neurooncol 2023:10.1007/s11060-023-04351-1. [PMID: 37266847 DOI: 10.1007/s11060-023-04351-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 05/22/2023] [Indexed: 06/03/2023]
Abstract
PURPOSE To investigate the different clinical and cytogenetic features of skull base meningiomas (SBMs) and non-SBMs (NSBMs). METHODS We conducted a retrospective study on a series of 316 patients with primary intracranial meningiomas. The t-test and the Chi-square test were used to analyze the differences between 194 SBMs and 122 NSBMs. The Cox analysis was used to determine prognostic factors for tumor recurrence. RESULTS Compared with NSBMs, on average, the age of patients with SBMs was about 2.88 years younger (p = 0.024); the duration of operation of SBMs was 2.73 h longer (p < 0.001); the duration of hospital stays of patients with SBMs was about 6.76 days longer (p < 0.001); the tumor volume was 7.69 cm3 smaller (p = 0.025); the intraoperative blood loss was 147.61ml more (p = 0.039); the total cost of SBMs was 1.39 times more (p < 0.001); the preoperative KPS, postoperative KPS, and follow-up KPS of patients with SBMs were all respectively lower (p < 0.001); Gross total resection was less achieved (p < 0.001). SBMs (average of 20.80 per sample) had a smaller total number of copy number variations (CNVs) than NSBMs (29.98 per sample) (p = 0.009). Extremely large CNVs (> 5 Mb) were more likely to present in NSBMs (p < 0.001). Cox analysis showed that subtotal resection (p = 0.002) and the total number of CNVs (p = 0.015) were independent risk factors for tumor recurrence. CONCLUSIONS The clinical and cytogenetic features of SBMs were different from NSBMs. Moreover, the degree of resection and the total number of whole-genome CNVs were independent prognostic factors for tumor recurrence.
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Affiliation(s)
- Junpeng Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Da Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yaqiang Hong
- Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China
| | - Yuan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lairong Song
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liangpeng Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yujia Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Junting Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhen Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dake Zhang
- Key Laboratory of Biomechanics and Mechanobiology, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Ministry of Education, Beihang University, Beijing, China
| | - Liang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- , No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
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Barresi V, Ammendola S, Simbolo M, Pedron S, Caffo M, Scarpa A. Atypical meningiomas with an immunohistochemical profile consistent with hypermetabolic or proliferative molecular groups show high mitotic index, chromosomal instability, and higher recurrence risk. Virchows Arch 2023:10.1007/s00428-023-03537-2. [PMID: 37014425 DOI: 10.1007/s00428-023-03537-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 04/05/2023]
Abstract
The use of adjuvant radiotherapy is controversial for atypical meningiomas undergoing gross total resection. It has recently been proposed that meningiomas may be classified into four molecular groups (MG): immunogenic (MG1), benign NF2-wildtype (MG2), hypermetabolic (MG3), and proliferative (MG4). The two latter have the worst prognosis, and it has been suggested that they can be identified using ACADL and MCM2 immunostainings. We studied 55 primary atypical meningiomas, treated with gross total resection and no adjuvant therapies, to assess whether ACADL and MCM2 immuno-expression may identify patients at higher recurrence risk, thus requiring adjuvant treatments. Twelve cases resulted ACADL-/MCM2-, 9 ACADL + /MCM2-, 17 ACADL + /MCM2 + , and 17 ACADL-/MCM2 + . MCM2 + meningiomas displayed more frequent atypical features (prominent nucleoli, small cells with high nuclear-to-cytoplasmic ratio) and CDKN2A hemizygous deletion (HeDe) (P = 0.011). The immunoexpression of ACADL and/or MCM2 was significantly associated with higher mitotic index, 1p and 18q deletions, increased recurrence rate (P = 0.0006), and shorter recurrence-free survival (RFS) (P = 0.032). At multivariate analysis, carried out including ACADL/MCM2 immuno-expression, mitotic index, and CDKN2A HeDe as covariates, this latter resulted a significant and independent prognosticator of shorter RFS (P = 0.0003).
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Affiliation(s)
- Valeria Barresi
- Department of Diagnostics and Public Health, University of Verona, Policlinico G.B. Rossi, P.Le L.A. Scuro, 10, 37138, Verona, Italy.
| | - Serena Ammendola
- Department of Diagnostics and Public Health, University of Verona, Policlinico G.B. Rossi, P.Le L.A. Scuro, 10, 37138, Verona, Italy
| | - Michele Simbolo
- Department of Diagnostics and Public Health, University of Verona, Policlinico G.B. Rossi, P.Le L.A. Scuro, 10, 37138, Verona, Italy
| | - Serena Pedron
- Department of Diagnostics and Public Health, University of Verona, Policlinico G.B. Rossi, P.Le L.A. Scuro, 10, 37138, Verona, Italy
| | - Maria Caffo
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, Unit of Neurosurgery, Messina, Italy
| | - Aldo Scarpa
- Department of Diagnostics and Public Health, University of Verona, Policlinico G.B. Rossi, P.Le L.A. Scuro, 10, 37138, Verona, Italy
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23
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Davidson C. Histopathologic and Molecular Evaluation of Meningioma. Neurosurg Clin N Am 2023; 34:311-318. [DOI: 10.1016/j.nec.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
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24
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Raleigh D, Chen W, Choudhury A, Youngblood M, Polley MY, Lucas CH, Mirchia K, Maas S, Suwala A, Won M, Bayley J, Harmanci A, Harmanci A, Klisch T, Nguyen M, Vasudevan H, McCortney K, Yu T, Bhave V, Lam TC, Pu J, Leung G, Chang J, Perlow H, Palmer J, Haberler C, Berghoff A, Preusser M, Nicolaides T, Mawrin C, Agnihotri S, Resnick A, Rood B, Chew J, Young J, Boreta L, Braunstein S, Schulte J, Butowski N, Santagata S, Spetzler D, Bush NAO, Villanueva-Meyer J, Chandler J, Solomon D, Rogers C, Pugh S, Mehta M, Sneed P, Berger M, Horbinski C, McDermott M, Perry A, Bi W, Patel A, Sahm F, Magill S. Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses. RESEARCH SQUARE 2023:rs.3.rs-2663611. [PMID: 36993741 PMCID: PMC10055655 DOI: 10.21203/rs.3.rs-2663611/v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and current indications for postoperative radiotherapy are controversial. Recent studies have proposed prognostic meningioma classification systems using DNA methylation profiling, copy number variants, DNA sequencing, RNA sequencing, histology, or integrated models based on multiple combined features. Targeted gene expression profiling has generated robust biomarkers integrating multiple molecular features for other cancers, but is understudied for meningiomas. Methods Targeted gene expression profiling was performed on 173 meningiomas and an optimized gene expression biomarker (34 genes) and risk score (0 to 1) was developed to predict clinical outcomes. Clinical and analytical validation was performed on independent meningiomas from 12 institutions across 3 continents (N = 1856), including 103 meningiomas from a prospective clinical trial. Gene expression biomarker performance was compared to 9 other classification systems. Results The gene expression biomarker improved discrimination of postoperative meningioma outcomes compared to all other classification systems tested in the independent clinical validation cohort for local recurrence (5-year area under the curve [AUC] 0.81) and overall survival (5-year AUC 0.80). The increase in area under the curve compared to the current standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval [CI] 0.07-0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% CI 0.37-0.78, P = 0.0001) and re-classified up to 52.0% meningiomas compared to conventional clinical criteria, suggesting postoperative management could be refined for 29.8% of patients. Conclusions A targeted gene expression biomarker improves discrimination of meningioma outcomes compared to recent classification systems and predicts postoperative radiotherapy responses.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Minhee Won
- NRG Statistics and Data Management Center
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joshua Palmer
- The Ohios State University James Comprehensive Cancer Center
| | | | | | | | | | | | | | | | - Brian Rood
- Center for Cancer and Immunology Research, Children's National Research Institute
| | | | | | | | - Steve Braunstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco California
| | | | | | | | | | | | | | | | | | - C Rogers
- NRG Statistics and Data Management Center
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DNA methylation provides diagnostic value for meningioma recurrence in clinical practice. Acta Neurochir (Wien) 2023; 165:1323-1331. [PMID: 36920663 DOI: 10.1007/s00701-023-05550-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 02/14/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Meningiomas are the most common intracranial tumors. Recent advancements in the genetic profiling of tumors have allowed information including DNA copy number analysis, mutational analysis, and RNA sequencing to be more frequently reported, in turn allowing better characterization of meningiomas. In recent years, analysis of tumor methylomes that reflects both cell-origin methylation signatures and somatically acquired DNA methylation changes has been utilized to better classify meningiomas with great success. METHOD We report DNA methylation profiling on meningiomas from 17 patients. Formalin-fixed paraffin-embedded (FFPE) meningioma tumor samples were processed, loaded onto the Infinium Methylation EPIC array, and scanned using the Illumina IScan system. Raw IDAT files were processed through the the CNS tumor classifier developed by the Molecular Neuropathology group at the German Cancer Research Center (DKFZ). Corresponding genomics were captured using targeted sequencing panels. RESULT Among the meningioma samples, 13 samples were classified as "benign," two samples as "intermediate," and the remaining three samples (from two patients) as "malignant," based on previously validated classification algorithms. In addition to tumor methylation profiling, we also present information that includes patient demographics, clinical presentations, tumor characteristics (including size and location), surgical approaches, and mutational analysis. The two patients who provided the samples with "malignant" methylation classifications had tumor recurrence, reflecting a more aggressive disease course. CONCLUSION In accordance with prior reports, our case series provides support that tumor DNA methylation profiling adds meaningful classification information and may be beneficial to incorporate in clinical practice. Our report also reveals that DNA methylation combined with WHO histology classification can more accurately predict tumor behavior than WHO classification alone.
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Eaton C, Avalos L, Liu SJ, Casey-Clyde T, Bisignano P, Lucas CH, Stevenson E, Choudhury A, Vasudevan H, Magill S, Krogan N, Villanueva-Meyer J, Swaney D, Raleigh D. Merlin S13 phosphorylation controls meningioma Wnt signaling and magnetic resonance imaging features. RESEARCH SQUARE 2023:rs.3.rs-2577844. [PMID: 36993679 PMCID: PMC10055685 DOI: 10.21203/rs.3.rs-2577844/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Meningiomas are the most common primary intracranial tumors and are associated with inactivation of the tumor suppressor NF2/Merlin, but one-third of meningiomas retain Merlin expression and typically have favorable clinical outcomes. Biochemical mechanisms underlying Merlin-intact meningioma growth are incompletely understood, and non-invasive biomarkers that predict meningioma outcomes and could be used to guide treatment de-escalation or imaging surveillance of Merlin-intact meningiomas are lacking. Here we integrate single-cell RNA sequencing, proximity-labeling proteomic mass spectrometry, mechanistic and functional approaches, and magnetic resonance imaging (MRI) across meningioma cells, xenografts, and human patients to define biochemical mechanisms and an imaging biomarker that distinguish Merlin-intact meningiomas with favorable clinical outcomes from meningiomas with unfavorable clinical outcomes. We find Merlin drives meningioma Wnt signaling and tumor growth through a feed-forward mechanism that requires Merlin dephosphorylation on serine 13 (S13) to attenuate inhibitory interactions with β-catenin and activate the Wnt pathway. Meningioma MRI analyses of xenografts and human patients show Merlin-intact meningiomas with S13 phosphorylation and favorable clinical outcomes are associated with high apparent diffusion coefficient (ADC) on diffusion-weighted imaging. In sum, our results shed light on Merlin posttranslational modifications that regulate meningioma Wnt signaling and tumor growth in tumors without NF2/Merlin inactivation. To translate these findings to clinical practice, we establish a non-invasive imaging biomarker that could be used to guide treatment de-escalation or imaging surveillance for patients with favorable meningiomas.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Nevan Krogan
- Quantitative Biosciences Institute, University of California San Francisco
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27
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Choudhury A, Chen WC, Lucas CHG, Bayley JC, Harmanci AS, Maas SLN, Santagata S, Klisch T, Perry A, Bi WL, Sahm F, Patel AJ, Magill ST, Raleigh DR. Hypermitotic meningiomas harbor DNA methylation subgroups with distinct biological and clinical features. Neuro Oncol 2023; 25:520-530. [PMID: 36227281 PMCID: PMC10013643 DOI: 10.1093/neuonc/noac224] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Meningiomas, the most common primary intracranial tumors, can be separated into 3 DNA methylation groups with distinct biological drivers, clinical outcomes, and therapeutic vulnerabilities. Alternative meningioma grouping schemes using copy number variants, gene expression profiles, somatic short variants, or integrated molecular models have been proposed. These data suggest meningioma DNA methylation groups may harbor subgroups unifying contrasting theories of meningioma biology. METHODS A total of 565 meningioma DNA methylation profiles from patients with comprehensive clinical follow-up at independent discovery (n = 200) or validation (n = 365) institutions were reanalyzed and classified into Merlin-intact, Immune-enriched, or Hypermitotic DNA methylation groups. RNA sequencing from the discovery (n = 200) or validation (n = 302) cohort were analyzed in the context of DNA methylation groups to identify subgroups. Biological features and clinical outcomes were analyzed across meningioma grouping schemes. RESULTS RNA sequencing revealed differential enrichment of FOXM1 target genes across two subgroups of Hypermitotic meningiomas. Differential expression and ontology analyses showed the subgroup of Hypermitotic meningiomas without FOXM1 target gene enrichment was distinguished by gene expression programs driving macromolecular metabolism. Analysis of genetic, epigenetic, gene expression, or cellular features revealed Hypermitotic meningioma subgroups were concordant with Proliferative or Hypermetabolic meningiomas, which were previously reported alongside Merlin-intact and Immune-enriched tumors using an integrated molecular model. The addition of DNA methylation subgroups to clinical models refined the prediction of postoperative outcomes compared to the addition of DNA methylation groups. CONCLUSIONS Meningiomas can be separated into three DNA methylation groups and Hypermitotic meningiomas can be subdivided into Proliferative and Hypermetabolic subgroups, each with distinct biological and clinical features.
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Affiliation(s)
- Abrar Choudhury
- Departments of Radiation Oncology and Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - William C Chen
- Departments of Radiation Oncology and Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Calixto-Hope G Lucas
- Departments of Radiation Oncology and Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - James C Bayley
- Department of Neurosurgery, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA
| | - Akdes S Harmanci
- Department of Neurosurgery, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA
| | - Sybren L N Maas
- Departments of Pathology, Leiden University Medical Center, Leiden, and Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sandro Santagata
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tiemo Klisch
- Department of Molecular and Human Genetics, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA
| | - Arie Perry
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Wenya Linda Bi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Akash J Patel
- Department of Neurosurgery, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
| | - David R Raleigh
- Departments of Radiation Oncology and Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
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Guidry BS, Chotai S, Tang AR, Le CH, Grisham CJ, McDermott JR, Kelly PD, Morone PJ, Thompson RC, Chambless LB. Association between preoperative hematologic markers and aggressive behavior in meningiomas. Clin Neurol Neurosurg 2023; 226:107629. [PMID: 36822137 DOI: 10.1016/j.clineuro.2023.107629] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/03/2023] [Accepted: 02/12/2023] [Indexed: 02/18/2023]
Abstract
INTRODUCTION Meningiomas have varying degrees of aggressive behavior. Some systemic hematologic makers are associated with malignancy, but their value in predicting aggressive meningioma behavior is not fully understood. OBJECTIVE To evaluate the association between preoperative markers such as neutrophil-lymphocyte ratio (NLR), neutrophil-monocyte ratio (NMR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and prognostic nutritional index (PNI), and diagnostic and prognostic factors including WHO grade, proliferation index, presence of edema on preoperative MRI, and tumor recurrence. METHODS A retrospective review of patients treated between 2000 and 2019 with a preoperative complete blood count (CBC) differential lab draw before intracranial meningioma resection was conducted. All preoperative steroid dosages were converted to dexamethasone equivalents. Primary outcomes included presence/absence of perilesional edema, WHO grade, Ki-67/MIB-index, and recurrence. Univariate and multivariable regression analyses were conducted. RESULTS A total of 209 meningioma patients were included. Of these, 143 (68 %) were WHO grade I, 61 (29 %) grade II and 5 (2 %) were grade III. Recurrence was reported in 19 (9.1 %) tumors. No hematologic markers were associated with recurrence. In separate multivariable logistic analyses, no biomarkers were associated with perilesional edema or WHO grade. MLR was associated with higher MIB-index (p = 0.018, OR 6.57, 95 % CI 1.37-30.91). CONCLUSION Most hematologic markers were not associated with meningioma invasiveness, grade, proliferative index, or aggressiveness. Preoperative MLR was associated with high proliferation index in patients undergoing surgery for intracranial meningioma. Higher MLR could be a surrogate for meningioma proliferation and has potential to be used as an adjunct for risk-stratifying meningiomas.
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Affiliation(s)
| | - Silky Chotai
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alan R Tang
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Chi H Le
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | | | - Patrick D Kelly
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter J Morone
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
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Franca RA, Della Monica R, Corvino S, Chiariotti L, Del Basso De Caro M. WHO grade and pathological markers of meningiomas: Clinical and prognostic role. Pathol Res Pract 2023; 243:154340. [PMID: 36738518 DOI: 10.1016/j.prp.2023.154340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 01/23/2023] [Indexed: 01/26/2023]
Abstract
In recent years, WHO grading criteria have emerged as an inaccurate tool to correctly predict the risk of progression/recurrence for meningioma patients. Therefore, great efforts were made to find further prognostic factors that could predict the clinical course of meningiomas. Why morphological criteria are not able alone to correctly predict outcome in all patients? What are the biological parameters underlying a more aggressive behavior? Are there any molecular markers can be integrated in the risk assessment? Could new technologies, such as methylome profiling, contribute to provide additional tools in patients prognostic evaluation? We performed a literature review to find answers to these questions. Meningiomas have been demonstrated to be extremely heterogeneous neoplasms, also from the genetic and epigenetic standpoints. However, WHO Classification of Tumours of the central Nervous System 5th edition introduced only CDKN2A/B deletion and TERT promoter mutations as poor prognostic, grade 3 defining parameters. The different proposals of integrated grading, taking into account cytogenetic alterations and study of methylation profile, have not yet been incorporated in WHO grading criteria. Work in progress: this is the summary of current knowledge. Further studies are needed to expand the diagnostic and prognostic equipment to be integrated into clinical practice.
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Affiliation(s)
- Raduan Ahmed Franca
- Department of Advanced Biomedical Sciences, Pathology Section, University of Naples "Federico II", Naples, Italy.
| | - Rosa Della Monica
- CEINGE Biotecnologie Avanzate scarl, via Gaetano Salvatore, 486, Naples, Italy.
| | - Sergio Corvino
- Department of Neuroscience, Reproductive and Odontostomatological Sciences, Division of Neurosurgery, Università di Napoli Federico II, Naples 80131, Italy.
| | - Lorenzo Chiariotti
- CEINGE Biotecnologie Avanzate scarl, via Gaetano Salvatore, 486, Naples, Italy.
| | - Marialaura Del Basso De Caro
- Department of Advanced Biomedical Sciences, Pathology Section, University of Naples "Federico II", Naples, Italy.
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Wang EJ, Haddad AF, Young JS, Morshed RA, Wu JPH, Salha DM, Butowski N, Aghi MK. Recent advances in the molecular prognostication of meningiomas. Front Oncol 2023; 12:910199. [PMID: 36686824 PMCID: PMC9845914 DOI: 10.3389/fonc.2022.910199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 11/17/2022] [Indexed: 01/05/2023] Open
Abstract
Meningiomas are the most common primary intracranial neoplasm. While traditionally viewed as benign, meningiomas are associated with significant patient morbidity, and certain meningioma subgroups display more aggressive and malignant behavior with higher rates of recurrence. Historically, the risk stratification of meningioma recurrence has been primarily associated with the World Health Organization histopathological grade and surgical extent of resection. However, a growing body of literature has highlighted the value of utilizing molecular characteristics to assess meningioma aggressiveness and recurrence risk. In this review, we discuss preclinical and clinical evidence surrounding the use of molecular classification schemes for meningioma prognostication. We also highlight how molecular data may inform meningioma treatment strategies and future directions.
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Affiliation(s)
- Elaina J. Wang
- Department of Neurological Surgery, Brown University, Rhode Island Hospital, Providence, RI, United States
| | - Alexander F. Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Ramin A. Morshed
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Joshua P. H. Wu
- Department of Neurological Surgery, Brown University, Rhode Island Hospital, Providence, RI, United States
| | - Diana M. Salha
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Manish K. Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States,*Correspondence: Manish K. Aghi,
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31
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Li S, Wang C, Chen J, Lan Y, Zhang W, Kang Z, Zheng Y, Zhang R, Yu J, Li W. Signaling pathways in brain tumors and therapeutic interventions. Signal Transduct Target Ther 2023; 8:8. [PMID: 36596785 PMCID: PMC9810702 DOI: 10.1038/s41392-022-01260-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 01/05/2023] Open
Abstract
Brain tumors, although rare, contribute to distinct mortality and morbidity at all ages. Although there are few therapeutic options for brain tumors, enhanced biological understanding and unexampled innovations in targeted therapies and immunotherapies have considerably improved patients' prognoses. Nonetheless, the reduced response rates and unavoidable drug resistance of currently available treatment approaches have become a barrier to further improvement in brain tumor (glioma, meningioma, CNS germ cell tumors, and CNS lymphoma) treatment. Previous literature data revealed that several different signaling pathways are dysregulated in brain tumor. Importantly, a better understanding of targeting signaling pathways that influences malignant behavior of brain tumor cells might open the way for the development of novel targeted therapies. Thus, there is an urgent need for a more comprehensive understanding of the pathogenesis of these brain tumors, which might result in greater progress in therapeutic approaches. This paper began with a brief description of the epidemiology, incidence, risk factors, as well as survival of brain tumors. Next, the major signaling pathways underlying these brain tumors' pathogenesis and current progress in therapies, including clinical trials, targeted therapies, immunotherapies, and system therapies, have been systemically reviewed and discussed. Finally, future perspective and challenges of development of novel therapeutic strategies in brain tumor were emphasized.
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Affiliation(s)
- Shenglan Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Can Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyi Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lan
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Weichunbai Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhuang Kang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rong Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianyu Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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The multiomic landscape of meningiomas: a review and update. J Neurooncol 2023; 161:405-414. [PMID: 36840836 PMCID: PMC9988797 DOI: 10.1007/s11060-023-04253-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/26/2023] [Indexed: 02/26/2023]
Abstract
PURPOSE Meningiomas are the most common primary brain tumor in adults. Traditionally they have been understudied compared to other central nervous system (CNS) tumors. However over the last decade, there has been renewed interest in uncovering the molecular topography of these tumors, with landmark studies identifying key driver alterations contributing to meningioma development and progression. Recent work from several independent research groups have integrated different genomic and epigenomic platforms to develop a molecular-based classification scheme for meningiomas that could supersede histopathological grading in terms of diagnostic accuracy, biological relevance, and outcome prediction, keeping pace with contemporary grading schemes for other CNS tumors including gliomas and medulloblastomas. METHODS Here we summarize the studies that have uncovered key alterations in meningiomas which builds towards the discovery of consensus molecular groups in meningiomas by integrating these findings. These groups supersede WHO grade and other clinical factors in being able to accurately predict tumor biology and clinical outcomes following surgery. RESULTS Despite differences in the nomenclature of recently uncovered molecular groups across different studies, the biological similarities between these groups enables us to likely reconciliate these groups into four consensus molecular groups: two benign groups largely dichotomized by NF2-status, and two clinically aggressive groups defined by their hypermetabolic transcriptome, and by their preponderance of proliferative, cell-cycling pathways respectively. CONCLUSION Future work, including by our group and others are underway to validate these molecular groups and harmonize the nomenclature for routine clinical use.
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Mair MJ, Berghoff AS, Brastianos PK, Preusser M. Emerging systemic treatment options in meningioma. J Neurooncol 2023; 161:245-258. [PMID: 36181606 PMCID: PMC9989003 DOI: 10.1007/s11060-022-04148-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/25/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Meningiomas are the most frequently diagnosed intracranial neoplasms. Usually, they are treated by surgical resection in curative intent. Radiotherapy and stereotactic radiosurgery are commonly applied in the adjuvant setting in newly diagnosed atypical (CNS WHO grade 2), and anaplastic (CNS WHO grade 3) meningioma, especially if gross total resection is not feasible, and in recurrent cases. Conversely, the evidence for pharmacotherapy in meningioma is scarce. METHODS The available literature of systemic treatment in meningioma was screened using PubMed, and ongoing clinical trials were explored using ClinicalTrials.gov. RESULTS Classical cytotoxic agents, somatostatin analogs, and antihormone treatments have shown only limited efficacy. In contrast, tyrosine kinase inhibitors and monoclonal antibodies, especially those targeting angiogenic signaling such as sunitinib and bevacizumab, have shown promising antitumoral activity in small phase 2 trials. Moreover, results of recent landmark studies on (epi-)genetic alterations in meningioma revealed potential therapeutic targets which are currently under investigation. These include inhibitors of mammalian target of rapamycin (mTOR), focal adhesion kinase (FAK), cyclin-dependent kinases (CDK), phosphoinositide-3-kinase (PI3K), sonic hedgehog signaling, and histone deacetylases. In addition, clinical trials evaluating immune checkpoint inhibitors such as ipilimumab, nivolumab, pembrolizumab and avelumab are currently being conducted and early results suggest clinically meaningful responses in a subset of patients. CONCLUSIONS There is a paucity of high-level evidence on systemic treatment options in meningioma. However, interesting novel treatment targets have been identified in the last decade. Positive signals of anti-angiogenic agents, genomically targeted agents and immunotherapy in early phase trials should be confirmed in large prospective controlled trials.
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Affiliation(s)
- Maximilian J Mair
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Vienna, Austria
| | - Priscilla K Brastianos
- Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Vienna, Austria.
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Bailo M, Gagliardi F, Boari N, Spina A, Piloni M, Castellano A, Mortini P. Meningioma and Other Meningeal Tumors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1405:73-97. [PMID: 37452935 DOI: 10.1007/978-3-031-23705-8_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Meningiomas develop from meningothelial cells and approximately account for more than 30 percent of central nervous system (CNS) tumors. They can occur anywhere in the dura, most often intracranially and at dural reflection sites. Half of the cases are usually at parasagittal/falcine and convexity locations; other common sites are sphenoid ridge, suprasellar, posterior fossa, and olfactory groove. The female-to-male ratio is approximately 2 or 3-1, and the median age at diagnosis is 65 years. Meningiomas are generally extremely slow-growing tumors; many are asymptomatic or paucisymptomatic at diagnosis and are discovered incidentally. Clinical manifestations, when present, are influenced by the tumor site and by the time course over which it develops. Meningiomas are divided into three grades. Grade I represents the vast majority of cases; they are considered typical or benign, although their CNS location can still lead to severe morbidity or mortality, resulting in a reported ten-year net survival of over 80%. Atypical (WHO grade II) meningiomas are considered "intermediate grade" malignancies and represent 5-7% of cases. They show a tendency for recurrence and malignant degeneration with a relevant increase in tumor cell migration and surrounding tissue infiltration; ten-year net survival is reported over 60%. The anaplastic subtype (WHO III) represents only 1-3% of cases, and it is characterized by a poor prognosis (ten-year net survival of 15%). The treatment of choice for these tumors stands on complete microsurgical resection in case the subsequent morbidities are assumed minimal. On the other hand, and in case the tumor is located in critical regions such as the skull base, or the patient may have accompanied comorbidities, or it is aimed to avoid intensive treatment, some other approaches, including stereotactic radiosurgery and radiotherapy, were recommended as safe and effective choices to be considered as a primary treatment option or complementary to surgery. Adjuvant radiosurgery/radiotherapy should be considered in the case of atypical and anaplastic histology, especially when a residual tumor is identifiable in postoperative imaging. A "watchful waiting" strategy appears reasonable for extremely old individuals and those with substantial comorbidities or low-performance status, while there is a reduced threshold for therapeutic intervention for relatively healthy younger individuals due to the expectation that tumor progression will inevitably necessitate proactive treatment. To treat and manage meningioma efficiently, the assessments of both neurosurgeons and radiation oncologists are essential. The possibility of other rarer tumors, including hemangiopericytomas, solitary fibrous tumors, lymphomas, metastases, melanocytic tumors, and fibrous histiocytoma, must be considered when a meningeal lesion is diagnosed, especially because the ideal diagnostic and therapeutic approaches might differ significantly in every tumor type.
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Affiliation(s)
- Michele Bailo
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy.
| | - Filippo Gagliardi
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
| | - Nicola Boari
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
| | - Alfio Spina
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
| | - Martina Piloni
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
| | - Antonella Castellano
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
| | - Pietro Mortini
- Department of Neurosurgery and Gamma Knife Radiosurgery, I.R.C.C.S. Ospedale San Raffaele, Vita-Salute University, Via Olgettina 60, 20132, Milano, Italy
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Go KO, Kim YZ. Brain Invasion and Trends in Molecular Research on Meningioma. Brain Tumor Res Treat 2023; 11:47-58. [PMID: 36762808 PMCID: PMC9911709 DOI: 10.14791/btrt.2022.0044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Meningiomas are the most common primary brain tumors in adults. The treatment of non-benign meningiomas remains a challenging task, and after the publication of the 2021 World Health Organization classification, the importance of molecular biological classification is emerging. In this article, we introduce the mechanisms of brain invasion in atypical meningioma and review the genetic factors involved along with epigenetic regulation. First, it is important to understand the three major steps for brain invasion of meningeal cells: 1) degradation of extracellular matrix by proteases, 2) promotion of tumor cell migration to resident cells by adhesion molecules, and 3) neovascularization and supporting cells by growth factors. Second, the genomic landscape of meningiomas should be analyzed by major categories, such as germline mutations in NF2 and somatic mutations in non-NF2 genes (TRAF7, KLF4, AKT1, SMO, and POLR2A). Finally, epigenetic alterations in meningiomas are being studied, with a focus on DNA methylation, histone modification, and RNA interference. Increasing knowledge of the molecular landscape of meningiomas has allowed the identification of prognostic and predictive markers that can guide therapeutic decision-making processes and the timing of follow-up.
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Affiliation(s)
- Kyeong-O Go
- Department of Neurosurgery, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Korea
| | - Young Zoon Kim
- Division of Neuro Oncology and Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.
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Millward CP, Keshwara S, Islim AI, Zakaria R, Jenkinson MD. Clinical Presentation and Prognosis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1416:5-20. [PMID: 37432616 DOI: 10.1007/978-3-031-29750-2_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Over the past three decades, the care for patients with meningioma has steadily improved as a result of a better understanding of the natural history, molecular biology, and classification of these tumors. Surgical frameworks for management have been established and validated with more options for adjuvant and salvage treatment available for patients with residual or recurrent disease. Overall these advances have improved clinical outcomes and prognosis.Alongside the improved clinical management has come an increase in biological understanding of these tumors. The number of publications within the field of meningioma research continues to expand and biological studies identifying molecular factors at the cytogenic and genomic level offer exciting potential for more personalized management strategies. As survival and understanding have increased, treatment outcomes are moving from traditional metrics, which describe the morbidity and mortality to more patient-centered measures. The subjective experiences of patients with meningioma are gaining interest among clinical researchers and it is recognized that even supposedly mild symptoms arising from meningioma can have a significant effect on a patient's quality of life.This chapter reviews the varied clinical presentations of meningioma, which in the modern era of widespread brain imaging must include a discussion of incidental meningioma. The second part examines prognosis and the clinical, pathological, and molecular factors that can be used to predict outcomes.
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Affiliation(s)
- Christopher P Millward
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Sumirat Keshwara
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Abdurrahman I Islim
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Rasheed Zakaria
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Michael D Jenkinson
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK.
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37
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Hachem LD, Nater A, Fehlings MG. Spinal Meningiomas. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1416:69-78. [PMID: 37432620 DOI: 10.1007/978-3-031-29750-2_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Spinal meningiomas are relatively rare, but account for a significant proportion of primary spinal tumors in adults. These meningiomas can be found anywhere along the spinal column and their diagnosis is often delayed due to their slow growth and the lack of significant neurological symptoms until they reach a critical size, at which point signs of spinal cord or nerve root compression generally manifest and progress. If left untreated, spinal meningiomas can cause severe neurological deficits including rendering patients paraplegic or tetraplegic. In this chapter we will review the clinical features of spinal meningiomas, their surgical management, and detail molecular features that differentiate them from intracranial meningiomas.
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Affiliation(s)
- Laureen D Hachem
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Anick Nater
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Michael G Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
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Vaubel RA, Kumar R, Weiskittel TM, Jenkins S, Dasari S, Uhm JH, Lachance DH, Brown PD, Van Gompel JJ, Jenkins RB, Kipp BR, Sukov WR, Giannini C, Johnson DR, Raghunathan A. Genomic markers of recurrence risk in atypical meningioma following gross total resection. Neurooncol Adv 2023; 5:vdad004. [PMID: 36845294 PMCID: PMC9950854 DOI: 10.1093/noajnl/vdad004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Background Meningiomas are the most common primary central nervous system (CNS) tumor in adults and CNS World Health Organization grade 2 (atypical) meningiomas show an intermediate risk of recurrence/progression. Molecular parameters are needed to better inform management following gross total resection (GTR). Methods We performed comprehensive genomic analysis of tumor tissue from 63 patients who underwent radiologically confirmed GTR of a primary grade 2 meningioma, including a CLIA-certified target next-generation sequencing panel (n = 61), chromosomal microarray (n = 63), genome-wide methylation profiling (n = 62), H3K27me3 immunohistochemistry (n = 62), and RNA-sequencing (n = 19). Genomic features were correlated with long-term clinical outcomes (median follow-up: 10 years) using Cox proportional hazards regression modeling and published molecular prognostic signatures were evaluated. Results The presence of specific copy number variants (CNVs), including -1p, -10q, -7p, and -4p, was the strongest predictor of decreased recurrence-free survival (RFS) within our cohort (P < .05). NF2 mutations were frequent (51%) but did not show a significant association with RFS. DNA methylation-based classification assigned tumors to DKFZ Heidelberg benign (52%) or intermediate (47%) meningioma subclasses and was not associated with RFS. H3K27 trimethylation (H3K27me3) was unequivocally lost in 4 tumors, insufficient for RFS analysis. Application of published integrated histologic/molecular grading systems did not improve prediction of recurrence risk over the presence of -1p or -10q alone. Conclusions CNVs are strong predictors of RFS in grade 2 meningiomas following GTR. Our study supports incorporation of CNV profiling into clinical evaluation to better guide postoperative patient management, which can be readily implemented using existing, clinically validated technologies.
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Affiliation(s)
- Rachael A Vaubel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rahul Kumar
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Taylor M Weiskittel
- Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA
| | - Sarah Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Surendra Dasari
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Joon H Uhm
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Jamie J Van Gompel
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Benjamin R Kipp
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - William R Sukov
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Caterina Giannini
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Derek R Johnson
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aditya Raghunathan
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
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DNA methylation profiling of meningiomas highlights clinically distinct molecular subgroups. J Neurooncol 2023; 161:339-356. [PMID: 36564673 DOI: 10.1007/s11060-022-04220-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/15/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Introduction of the classification of brain tumours based on DNA methylation profile has significantly changed the diagnostic approach. Due to the paucity of data on the molecular profiling of meningiomas and their clinical implications, no effective therapies and new treatments have been implemented. METHODS DNA methylation profiling, copy number analysis, targeted sequencing and H3K27me3 expression was performed on 35 meningiomas and 5 controls. RESULTS Unsupervised hierarchical clustering (UHC) analysis revealed four distinct molecular subgroups: Malignant; Intermediate; Benign A, and Benign B. Molecular heterogeneity was observed within the same grade as the Intermediate, Benign A, and Benign B subgroups were composed of WHO grade 1 as well as grade 2 cases. There was association of mutations with distinct methylation subgroups (NF2, AKT1, SMO, TRAF7 and pTERT). Loss of chromosome 22q was observed across all subgroups. 1p/14q co-deletion was seen in 50% of malignant and intermediate while CDKN2A loss was predominantly observed in malignant subgroup (50%). Majority of malignant (75%) and a small proportion of other subgroups (Intermediate: 25%, Benign A: 38.5%, and Benign B: 20%) harboured H3K27me3 loss. 38,734 genes were dysregulated amongst the four subgroups. DKFZ classified 71% cases with acceptable score. On survival analysis, methylation profiling had significant impact on progression-free-survival in WHO grade1 and 2 meningiomas (p = 0.0051). CONCLUSION Genome-wide DNA methylation profiling highlights clinically distinct molecular subgroups and heterogeneity within the same grade of meningiomas. Molecular profiling can usher in a paradigm shift in meningioma classification, prognostic prediction, and treatment strategy.
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Malta TM, Snyder J, Noushmehr H, Castro AV. Advances in Central Nervous System Tumor Classification. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1416:121-135. [PMID: 37432624 DOI: 10.1007/978-3-031-29750-2_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Historically, the classification of tumors of the central nervous system (CNS) relies on the histologic appearance of cells under a microscope; however, the molecular era of medicine has resulted in new diagnostic paradigms anchored in the intrinsic biology of disease. The 2021 World Health Organization (WHO) reformulated the classification of CNS tumors to incorporate molecular parameters, in addition to histology, to define many tumor types. A contemporary classification system with integrated molecular features aims to provide an unbiased tool to define tumor subtype, the risk of tumor progression, and even the response to certain therapeutic agents. Meningiomas are heterogeneous tumors as depicted by the current 15 distinct variants defined by histology in the 2021 WHO classification, which also incorporated the first moelcular critiera for meningioma grading: homozygous loss of CDKN2A/B and TERT promoter mutation as criteria for a WHO grade 3 meningioma. The proper classification and clinical management of meningioma patients requires a multidisciplinary approach, which in addition to the information on microscopic (histology) and macroscopic (Simpson grade and imaging), should also include molecular alterations. In this chapter, we present the most up-to-date knowledge in CNS tumor classification, particularly in meningioma, in the molecular era and how it could affect their future classification and clinical management of patients with these diseases.
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Affiliation(s)
- Tathiane M Malta
- School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - James Snyder
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
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Molecular classification and grading of meningioma. J Neurooncol 2023; 161:373-381. [PMID: 36802047 DOI: 10.1007/s11060-022-04228-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/21/2022] [Indexed: 02/21/2023]
Abstract
PURPOSE Meningiomas are the most common primary intracranial tumor in older adults (Ostrom et al. in Neuro Oncol 21(Suppl 5):v1-v100, 2019). Treatment is largely driven by, in addition to patient characteristics and extent of resection/Simpson grade, the World Health Organization (WHO) grading of meningiomas. The current grading scheme, based predominantly on histologic features and only limited molecular characterization of these tumors (WHO Classification of Tumours Editorial Board, in: Central nervous system tumours, International Agency for Research on Cancer, Lyon, 2021), (Mirian et al. in J Neurol Neurosurg Psychiatry 91(4):379-387, 2020), does not consistently reflect the biologic behavior of meningiomas. This leads to both under-treatment and over-treatment of patients, and hence, suboptimal outcomes (Rogers et al. in Neuro Oncol 18(4):565-574). The goal of this review is to synthesize studies to date investigating molecular features of meningiomas as they relate to patient outcomes, in order to clarify best practices in assessing and, therefore, treating meningiomas. METHODS The available literature of genomic landscape and molecular features of in meningioma was screened using PubMed. RESULTS Greater understanding of meningiomas is reached by integrating histopathology, mutational analysis, DNA copy number changes, DNA methylation profiles, and potentially additional modalities to fully capture the clinical and biologic heterogeneity of these tumors. CONCLUSION Diagnosis and classification of meningioma is best accomplished using a combination of histopathology with genomic and epigenomic factors. Future classification schemes may benefit from such an integrated approach.
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Janah R, Rujito L, Wahyono DJ. Expressions of Progesterone Receptor of Orbital Meningiomas in Indonesia. Asian Pac J Cancer Prev 2022; 23:4137-4143. [PMID: 36579995 PMCID: PMC9971458 DOI: 10.31557/apjcp.2022.23.12.4137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE Visual disturbances that can heal after a complete resection of orbital meningiomas are only about 2.9%. Grading and expression of the progesterone receptor (PR) in orbital meningiomas, according to World Health Organization (WHO) is a useful predictive value of recurrence in the treatment management of orbital meningiomas. This study aims to determine the relationship of PR expression on the grading of orbital meningiomas as tumour prognostic factors. METHODS This cross-sectional observational analysis observed 44 orbital meningioma in Cicendo Eye Hospital Bandung and Hasan Sadikin Hospital between 2017-2020. We performed of mRNA PR with RT-qPCR technique and calculation with the 2∆∆Ct formula. Statistical analysis used the Kruskal-Wallis Test, followed by the Mann-Whitney post hoc test with p<0.005. RESULTS Relative expression of mRNA PR in meningioma orbita grade I to grade III decreased significantly the expression of relative mRNA PR at grade I, II, III of 21.69±44.35, 20.39±26.30 and 1.25±0.85, with Kruskal-Wallis test, p =0.007. Mann Whitney's test results showed relative mRNA PR expression between grades I and II not different (p = 0.055), relative expression mRNA PR between grades I and III differed significantly (p = 0.024), and relative expression mRNA PR between grades I and III was not different (p = 0.638). CONCLUSION mRNA PR expression is viable for prognostic value, predicting recurrence and implementing more effective management of subsequent therapy, it must be combined with other markers to determine the nature of the orbital meningioma.
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Affiliation(s)
- Raudatul Janah
- Doctoral Degree of Biological Science Programme, Faculty of Biology, Universitas Jenderal Soedirman Purwokerto, Indonesia. ,Department of Anatomical Pathology PMN Cicendo Eye Hospital Bandung, Indonesia. ,For Correspondence:
| | - Lantip Rujito
- Department of Biology and Molecular, Faculty of Medicine, Universitas Jenderal Soedirman Purwokerto, Indonesia.
| | - Daniel Joko Wahyono
- Department of Genetics and Molecular Biology, Faculty of Biology, Universitas Jenderal Sudirman, Purwokerto, Indonesia.
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Prognostic significance of telomerase reverse transcriptase promoter gen mutations in high grade meningiomas. BIOMEDICA : REVISTA DEL INSTITUTO NACIONAL DE SALUD 2022; 42:574-590. [PMID: 36511679 PMCID: PMC9792127 DOI: 10.7705/biomedica.6100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Indexed: 12/14/2022]
Abstract
Introduction: Mutations in the promoter region of telomerase reverse transcriptase occur frequently in meningiomas.
Objective: To estimate the prognostic importance of telomerase reverse transcriptase mutations in Colombian patients with grades II and III meningioma.
Materials and methods: This was a multicenter retrospective cohort study of patients diagnosed with refractory or recurrent WHO grades II and III meningiomas, recruited between 2011 and 2018, and treated with systemic therapy (sunitinib, everolimus ± octreotide, and bevacizumab). Mutation status of the telomerase reverse transcriptase promoter was established by PCR.
Results: Forty patients were included, of which telomerase reverse transcriptase mutations were found in 21 (52.5%), being C228T and C250T the most frequent variants with 87.5 % and 14.3 %, respectively. These were more frequent among patients with anaplastic meningiomas (p=0.18), with more than 2 recurrences (p=0.04); and in patients with parasagittal region and anterior fossa lesions (p=0.05). Subjects characterized as having punctual mutations were more frequently administered with everolimus, sunitinib and bevacizumab drug series (p=0.06). Overall survival was 23.7 months (CI95% 13.1-34.2) and 43.4 months (CI95% 37.5-49.3; p=0.0001) between subjects with and without mutations, respectively. Multivariate analysis showed that the number of recurrences and the presence of telomerase reverse transcriptase mutations were tthe only variables that negatively affected overall survival.
Conclusions: Mutations in telomerase reverse transcriptase allows the identification of high-risk patients and could be useful in the selection of the best medical treatment.
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Clinical Management of Supratentorial Non-Skull Base Meningiomas. Cancers (Basel) 2022; 14:cancers14235887. [PMID: 36497370 PMCID: PMC9737260 DOI: 10.3390/cancers14235887] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022] Open
Abstract
Supratentorial non-skull base meningiomas are the most common primary central nervous system tumor subtype. An understanding of their pathophysiology, imaging characteristics, and clinical management options will prove of substantial value to the multi-disciplinary team which may be involved in their care. Extensive review of the broad literature on the topic is conducted. Narrowing the scope to meningiomas located in the supratentorial non-skull base anatomic location highlights nuances specific to this tumor subtype. Advances in our understanding of the natural history of the disease and how findings from both molecular pathology and neuroimaging have impacted our understanding are discussed. Clinical management and the rationale underlying specific approaches including observation, surgery, radiation, and investigational systemic therapies is covered in detail. Future directions for probable advances in the near and intermediate term are reviewed.
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45
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Maier AD. Malignant meningioma. APMIS 2022; 130 Suppl 145:1-58. [DOI: 10.1111/apm.13276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Andrea Daniela Maier
- Department of Neurosurgery, Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Department of Pathology, Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
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46
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Chen WC, Perlow HK, Choudhury A, Nguyen MP, Mirchia K, Youngblood MW, Lucas CHG, Palmer JD, Magill ST, Raleigh DR. Radiotherapy for meningiomas. J Neurooncol 2022; 160:505-515. [PMID: 36315366 PMCID: PMC9722800 DOI: 10.1007/s11060-022-04171-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 12/12/2022]
Abstract
Meningiomas are the most common primary central nervous system neoplasm. Despite promising recent progress in elucidating the genomic landscape and underlying biology of these histologically, molecularly, and clinically diverse tumors, the mainstays of meningioma treatment remain maximal safe resection and radiation therapy. The aim of this review of meningioma radiotherapy is to provide a concise summary of the history, current evidence, and future for application of radiotherapy in meningioma treatment.
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Affiliation(s)
- William C Chen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA. .,Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.
| | - Haley K Perlow
- Department of Radiation Oncology, Ohio State University, Columbus, OH, 43210, USA
| | - Abrar Choudhury
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA.,Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Minh P Nguyen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA.,Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Kanish Mirchia
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA.,Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.,Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Northwestern University, Chicago, IL, 60611, USA
| | | | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University, Columbus, OH, 43210, USA
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, 60611, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA. .,Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.
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47
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Landscape of genetic variants in sporadic meningiomas captured with clinical genomics. Acta Neurochir (Wien) 2022; 164:2491-2503. [PMID: 35881312 DOI: 10.1007/s00701-022-05316-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 07/12/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Meningiomas are the most common primary central nervous system tumor. Previous studies have characterized recurrent genetic alterations that can predict patient prognosis and potentially provide new avenues for therapeutic intervention. Continued efforts to characterize the genomic changes in meningioma samples can aid in the discovery of therapeutic targets and appropriate patient stratification. METHODS We performed targeted genomic sequencing on 25 primary and 2 recurrent meningiomas using a 500-gene panel, including canonical meningioma drivers. We further detail the genomic profiles and relevant clinical findings in three cases of angiomatous meningiomas and two recurrent atypical meningiomas. RESULTS Our approach uncovers a diverse landscape of genomic variants in meningioma samples including mutations in established meningioma-related genes NF2, AKT1, PIK3CA, and TRAF7. In addition to known meningioma drivers, we uncover variants in genes encoding other PI3K subunits, Notch/hedgehog/Wnt signaling pathway components, and chromatin regulators. We additionally identify 22 genes mutated across multiple samples. Three patients included in the study were diagnosed with angiomatous WHO grade I meningiomas, all three of which contained variants in the PI3K-AKT signaling pathway previously described to regulate tumor angiogenesis. Analysis of patient-matched primary and recurrent atypical meningiomas revealed clonal enrichment for mutations in the SWI/SNF complex subunits ARID1A and SMARCA4. CONCLUSIONS Targeted genomics implemented in neuro-oncology care can enhance our understanding of the genetic underpinnings of central nervous system tumors, including meningiomas. These molecular signatures may be clinically useful in dictating treatment strategies and patient follow-up.
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Deng J, Hua L, Bian L, Chen H, Chen L, Cheng H, Dou C, Geng D, Hong T, Ji H, Jiang Y, Lan Q, Li G, Liu Z, Qi S, Qu Y, Shi S, Sun X, Wang H, You Y, Yu H, Yue S, Zhang J, Zhang X, Wang S, Mao Y, Zhong P, Gong Y. Molecular diagnosis and treatment of meningiomas: an expert consensus (2022). Chin Med J (Engl) 2022; 135:1894-1912. [PMID: 36179152 PMCID: PMC9746788 DOI: 10.1097/cm9.0000000000002391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Indexed: 11/27/2022] Open
Abstract
ABSTRACT Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients. REGISTRATION Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
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Affiliation(s)
- Jiaojiao Deng
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
- National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Lingyang Hua
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai 200040, China
- Neurosurgical Institute of Fudan University, Shanghai 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China
| | - Liuguan Bian
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ligang Chen
- Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China
| | - Hongwei Cheng
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Changwu Dou
- Department of Neurosurgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 750306, China
| | - Dangmurenjiapu Geng
- Department of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011, China
| | - Tao Hong
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Hongming Ji
- Department of Neurosurgery, Shanxi Medical University Shanxi Provincial People's Hospital, Taiyuan, Shanxi 030012, China
| | - Yugang Jiang
- Department of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Qing Lan
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Soochow, Jiangsu 215004, China
| | - Gang Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong 250063, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Songtao Qi
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yan Qu
- Department of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi’an, Shaanxi 710038, China
| | - Songsheng Shi
- Department of Neurosurgery, Fujian Medical University Affiliated Union Hospital, Fuzhou, Fujian 350001, China
| | - Xiaochuan Sun
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - Haijun Wang
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China
| | - Yongping You
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Hualin Yu
- Department of Neurosurgery, Kunming Medical University First Affiliated Hospital, Kunming, Yunnan 650032, China
| | - Shuyuan Yue
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jianming Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Xiaohua Zhang
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ping Zhong
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai 200040, China
- Neurosurgical Institute of Fudan University, Shanghai 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China
| | - Ye Gong
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
- National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai 200040, China
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Gadot R, Khan AB, Patel R, Goethe E, Shetty A, Hadley CC, V JCB, Harmanci AS, Klisch TJ, Yoshor D, Sheth SA, Patel AJ. Predictors of postoperative seizure outcome in supratentorial meningioma. J Neurosurg 2022; 137:515-524. [PMID: 35099915 DOI: 10.3171/2021.9.jns211738] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/01/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Meningiomas are the most common primary intracranial tumor. Seizures are common sequelae of meningioma development. Meningioma patients with seizures can be effectively treated with resection, with reports of seizure freedom of 60%-90%. Still, many patients manifest persistent epilepsy. Determining factors associated with worsened seizure outcomes remains critical in improving the quality of life for these patients. The authors sought to identify clinical, radiological, and histological factors associated with worse seizure outcomes in patients with supratentorial meningioma and preoperative seizures. METHODS The authors retrospectively reviewed the charts of 384 patients who underwent meningioma resection from 2008 to 2020. The charts of patients with a documented history of preoperative seizures were further reviewed for clinical, radiological, operative, perioperative, histological, and postoperative factors associated with seizures. Engel class at last follow-up was retrospectively assigned by the authors and further grouped into favorable (class I) and worse (class II-IV) outcomes. Factors were subsequently compared by group using comparative statistics. Univariable and multivariable regression models were utilized to identify independent predictors of worse seizure outcome. RESULTS Fifty-nine patients (15.4%) were found to have preoperative seizures, of whom 57 had sufficient postoperative data to determine Engel class outcome. Forty-two patients (74%) had Engel class I outcomes. The median follow-up was 17 months. Distinct margins on preoperative imaging (p = 0.012), Simpson grade I resection (p = 0.004), postresection ischemia (p = 0.019), WHO grade (p = 0.019), and recurrent disease (p = 0.015) were found to be the strongest predictors of Engel class outcome in univariable logistic regression. MIB-1 index (p = 0.001) and residual volume (p = 0.014) at last follow-up were found to be the strongest predictors of Engel class outcome in univariable generalized linear regression. Postresection ischemia (p = 0.012), WHO grade (p = 0.022), recurrent disease (p = 0.038), and MIB-1 index (p = 0.002) were found to be the strongest independent predictors of Engel class outcomes in multivariable analysis. CONCLUSIONS Postresection ischemia, higher WHO grade, elevated MIB-1 index, and disease recurrence independently predict postresection seizure persistence in patients with supratentorial meningioma. Further understanding of the etiology of these markers may aid in elucidation of this complex disease process and guide management to prevent worse outcomes.
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Affiliation(s)
- Ron Gadot
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - A Basit Khan
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Rajan Patel
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Eric Goethe
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Arya Shetty
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | | | - James C Bayley V
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Akdes S Harmanci
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Tiemo J Klisch
- 2Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas
| | - Daniel Yoshor
- 3Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | - Sameer A Sheth
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
| | - Akash J Patel
- 1Department of Neurosurgery, Baylor College of Medicine, Houston
- 2Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas
- 4Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, Texas
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Cao J, Yan W, Li G, Zhan Z, Hong X, Yan H. Incidence and Survival of Benign, Borderline, and Malignant Meningioma Patients in the United States from 2004 to 2018. Int J Cancer 2022; 151:1874-1888. [PMID: 35779059 DOI: 10.1002/ijc.34198] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 06/06/2022] [Accepted: 06/20/2022] [Indexed: 11/09/2022]
Abstract
Meningioma is the most common primary central nervous system tumor, and its incidence is increasing. A systematic epidemiological and clinical analysis is required to better estimate its public health impact and understand its prognostic factors. Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2018 for all types of meningiomas without an age restriction. Age-adjusted incidence rates (IRs) and 95% confidence intervals were estimated according to sex, age, race, ethnicity, and tumor location. Kaplan-Meier analysis and multivariate Cox proportional hazard models were used to analyze the overall survival (OS). The competing risk regression model of Fine-Gray was used to analyze cause-specific survival. Data from a total of 109,660 meningioma patients were analyzed. A majority of patients were older than 60 years, and only 0.41% of patients were 0-19 years. The meningioma IRs were higher in females, Black, and non-Hispanic patients than in males, White, and Hispanic patients, respectively, and IRs increased with age. The ratio of IRs for females to males was 2.1 and also increased with age, peaking at 3.6 in the 45-49-year-old group. Older and male patients with all types of meningiomas, Black patients with benign and borderline meningiomas, and patients with larger borderline and malignant meningiomas showed poorer prognosis. For all meningioma types, surgical resection improved survival. The reported incidence rates and survival trends covered all demographics and subtypes of meningiomas. Older age, male sex, Black race, and tumor size may be important prognostic factors for meningioma cases, and tumor resection can substantially improve survival among meningioma patients.
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Affiliation(s)
- Junguo Cao
- Xi'an People's Hospital (Xi'an Fourth Hospital), Shaanxi Eye Hospital, Northwest University Affiliated People's Hospital, Xi'an, Shaanxi Province, China.,Division of Experimental Neurosurgery, Department of Neurosurgery, University of Heidelberg, Heidelberg, Germany
| | - Weijia Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Shaanxi Eye Hospital, Northwest University Affiliated People's Hospital, Xi'an, Shaanxi Province, China.,Department of Ophthalmology, University of Heidelberg, Heidelberg, Germany
| | - Guihong Li
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhixin Zhan
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Xinyu Hong
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Hong Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Shaanxi Eye Hospital, Northwest University Affiliated People's Hospital, Xi'an, Shaanxi Province, China
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