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Zhang H, Yang B. ADAM12 Silencing Mediated by FOXC2 Represses Meningioma Progression Through Inactivating the JAK1/STAT3/VEGFA Pathway. Biochem Genet 2024:10.1007/s10528-024-10893-4. [PMID: 39066954 DOI: 10.1007/s10528-024-10893-4] [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: 05/18/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024]
Abstract
Meningioma is a prevalently intracranial tumor, and the malignant type is aggressive with high recurrence. A Disintegrin and Metalloprotease 12 (ADAM12) is a common oncogene and differentially expressed in meningioma. However, its roles and mechanisms in meningioma development remain obscure. The differentially expressed genes in meningioma were analyzed by GEO (GSE77259 and GSE43290) datasets and weighted gene co-expression network analysis (WGCNA) based on GSE16581. ADAM12 expression was measured via qRT-PCR and western blot. The correlation between ADAM12 and FOXC2 was predicted through JASPER tool and identified via luciferase reporter analysis. Cell proliferation, migration and invasion were investigated using CCK-8, EdU, transwell assays. The JAK1/STAT3/VEGFA signaling was activated by IL-6, and analyzed via western blot. The differentially expressed ADAM12 in meningioma was screened by WGCNA and GEO analyses. ADAM12 silencing repressed meningioma cell proliferation, and decreased migration and invasion. The transcription factor FOXC2 expression was enhanced in meningioma based on GSE77259 and GSE43290 datasets, and positively induced ADAM12 transcription. The JAK1/STAT3/VEGFA signaling was inactivated due to ADAM12 silencing and activated via IL-6. Upregulation of FOXC2 promoted cell proliferation, migration and invasion, and these effects were reversed by silencing ADAM12. ADAM12 knockdown mediated via FOXC2 silencing restrained proliferation, migration and invasion of meningioma cells through inactivating the JAK1/STAT3/VEGFA pathway.
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Affiliation(s)
- Huaming Zhang
- Department of Neurosurgery, China Resources Wisco General Hospital, Wuhan University of Science and Technology, No. 209 Yejin Avenue, Qingshan District, Wuhan, 430080, Hubei, China.
| | - Bing Yang
- Department of Neurology, Wuhan Eighth Hospital, Wuhan, 430014, Hubei, China
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Hughes CJ, Alderman C, Wolin AR, Fields KM, Zhao R, Ford HL. All eyes on Eya: A unique transcriptional co-activator and phosphatase in cancer. Biochim Biophys Acta Rev Cancer 2024; 1879:189098. [PMID: 38555001 PMCID: PMC11111358 DOI: 10.1016/j.bbcan.2024.189098] [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: 12/15/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/02/2024]
Abstract
The Eya family of proteins (consisting of Eyas1-4 in mammals) play vital roles in embryogenesis by regulating processes such as proliferation, migration/invasion, cellular survival and pluripotency/plasticity of epithelial and mesenchymal states. Eya proteins carry out such diverse functions through a unique combination of transcriptional co-factor, Tyr phosphatase, and PP2A/B55α-mediated Ser/Thr phosphatase activities. Since their initial discovery, re-expression of Eyas has been observed in numerous tumor types, where they are known to promote tumor progression through a combination of their transcriptional and enzymatic activities. Eya proteins thus reinstate developmental processes during malignancy and represent a compelling class of therapeutic targets for inhibiting tumor progression.
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Affiliation(s)
- Connor J Hughes
- Medical Scientist Training Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Department of Pharmacology, University of Colorado Anschutz Medical Campus, 12800 East 19th Avenue, Aurora, CO 80045, United States of America
| | - Christopher Alderman
- Medical Scientist Training Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Molecular Biology Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America
| | - Arthur R Wolin
- Department of Pharmacology, University of Colorado Anschutz Medical Campus, 12800 East 19th Avenue, Aurora, CO 80045, United States of America; Molecular Biology Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America
| | - Kaiah M Fields
- Department of Pharmacology, University of Colorado Anschutz Medical Campus, 12800 East 19th Avenue, Aurora, CO 80045, United States of America; Molecular Biology Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America
| | - Rui Zhao
- Medical Scientist Training Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Molecular Biology Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America.
| | - Heide L Ford
- Medical Scientist Training Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America; Department of Pharmacology, University of Colorado Anschutz Medical Campus, 12800 East 19th Avenue, Aurora, CO 80045, United States of America; Molecular Biology Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States of America.
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Cheng H, Hua L, Tang H, Bao Z, Xu X, Zhu H, Wang S, Jiapaer Z, Bhatia R, Dunn IF, Deng J, Wang D, Sun S, Luan S, Ji J, Xie Q, Yang X, Lei J, Li G, Wang X, Gong Y. CBX7 reprograms metabolic flux to protect against meningioma progression by modulating the USP44/c-MYC/LDHA axis. J Mol Cell Biol 2024; 15:mjad057. [PMID: 37791390 PMCID: PMC11195615 DOI: 10.1093/jmcb/mjad057] [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: 01/11/2022] [Revised: 07/10/2023] [Accepted: 10/02/2023] [Indexed: 10/05/2023] Open
Abstract
Meningioma is one of the most common primary neoplasms in the central nervous system, but no specific molecularly targeted therapy has been approved for the clinical treatment of aggressive meningiomas. There is hence an urgent demand to decrypt the biological and molecular landscape of malignant meningioma. Here, through the in-silica prescreening and 10-year follow-up studies of 445 meningioma patients, we uncovered that CBX7 expression progressively decreases with malignancy grade and neoplasia stage in meningioma, and a high CBX7 expression level predicts a favorable prognosis in meningioma patients. CBX7 restoration significantly induces cell cycle arrest and inhibits meningioma cell proliferation. iTRAQ-based proteomics analysis indicated that CBX7 restoration triggers the metabolic shift from glycolysis to oxidative phosphorylation. The mechanistic study demonstrated that CBX7 promotes the proteasome-dependent degradation of c-MYC protein by transcriptionally inhibiting the expression of a c-MYC deubiquitinase, USP44, consequently attenuates c-MYC-mediated transactivation of LDHA transcripts, and further inhibits glycolysis and subsequent cell proliferation. More importantly, the functional role of CBX7 was further confirmed in subcutaneous and orthotopic meningioma xenograft mouse models and meningioma patients. Altogether, our results shed light on the critical role of CBX7 in meningioma malignancy progression and identify the CBX7/USP44/c-MYC/LDHA axis as a promising therapeutic target against meningioma progression.
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Affiliation(s)
- Haixia Cheng
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Lingyang Hua
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Hailiang Tang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zhongyuan Bao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China
| | - Xiupeng Xu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China
| | - Hongguang Zhu
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Shuyang Wang
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Zeyidan Jiapaer
- Xinjiang Key Laboratory of Biology Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830046, China
| | - Roma Bhatia
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Ian F Dunn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73117, USA
| | - Jiaojiao Deng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Daijun Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Shuchen Sun
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Shihai Luan
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Jing Ji
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China
| | - Qing Xie
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Xinyu Yang
- Fangshan Hospital of Beijing, University of Traditional Chinese Medicine, Beijing 102400, China
| | - Ji Lei
- Center for Transplantation Science, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Guoping Li
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Xianli Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ye Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
- Department of Critical Care Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China
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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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Fan H, Song L, Fan J, Ma J, Li X, Zhang J, Hu J, Wu Z, Zhang D, Wang L. Decoding meningioma heterogeneity and neoplastic cell-macrophage interaction through single-cell transcriptome profiling across pathological grades. J Transl Med 2023; 21:751. [PMID: 37880655 PMCID: PMC10599053 DOI: 10.1186/s12967-023-04445-4] [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: 05/23/2023] [Accepted: 08/16/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Analyzing meningioma of distinct pathological types at the single-cell level can provide new and valuable insights into the specific biological mechanisms of each cellular subpopulation, as well as their vital interplay within the tumor microenvironment. METHODS We recruited patients diagnosed with four distinct types of meningioma and performed single-cell RNA sequencing on their tumor samples, concurrently analyzing a publicly available dataset for comparison. Next, we separated the cells into discrete clusters and identified their unique identities. Using pseudotime analysis, we demonstrated cellular differentiation and dynamics. To investigate biological function, we employed weighted gene co-expression network analysis, gene regulatory network, and gene set enrichment analysis. Additionally, we conducted cell-cell communication analyses to characterize interactions among different clusters and validated a crucial interaction using multiple immunofluorescence staining. RESULTS The single-cell transcriptomic profiles for five meningioma of different pathological types demonstrated that neoplastic cells exhibited high inter-sample heterogeneity and diverse biological functions featured by metabolic regulation. A small cluster of neoplastic cells (N5 cluster, < 3%) was most proliferative, indicated by high expression of MKI67 and TOP2A. They were primarily observed in our atypical and transitional meningioma samples and located at the beginning of the pseudotime differentiation branch for neoplastic cells. Macrophages, the most abundant immune cells present, showed two distinct developmental trajectories, one promoting and the other suppressing meningioma growth, with the MIF-CD74 interaction serving as the primary signaling pathway for MIF signals in the tumor environment. Unexpectedly, despite its small cluster size, the N5 cluster demonstrated a significant contribution in this interaction. By staining pathological sections of more samples, we found that this interaction was widely present in different types of meningiomas. CONCLUSIONS Meningioma neoplastic cells' diverse types cause inter-sample heterogeneity and a wide range of functions. Some proliferative neoplastic cell may educate macrophages, which promotes tumorigenesis possibly through the MIF-CD74 interaction. It provides novel clues for future potential therapeutic avenues.
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Affiliation(s)
- Hailang Fan
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine, Beihang University, Beijing, 100191, China
| | - Lairong Song
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jian Fan
- Department of Urology, Peking University First Hospital, Institute of Urology, National Urological Cancer Center, Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Peking University, Beijing, 100871, China
| | - Junpeng Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xiaojie Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Junting Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jian Hu
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77054-1901, USA
- MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 77225-0334, USA
| | - Zhen Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Dake Zhang
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
| | - Liang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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Zhu S, Li W, Zhang H, Yan Y, Mei Q, Wu K. Retinal determination gene networks: from biological functions to therapeutic strategies. Biomark Res 2023; 11:18. [PMID: 36750914 PMCID: PMC9906957 DOI: 10.1186/s40364-023-00459-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 01/28/2023] [Indexed: 02/09/2023] Open
Abstract
The retinal determinant gene network (RDGN), originally discovered as a critical determinator in Drosophila eye specification, has become an important regulatory network in tumorigenesis and progression, as well as organogenesis. This network is not only associated with malignant biological behaviors of tumors, such as proliferation, and invasion, but also regulates the development of multiple mammalian organs. Three members of this conservative network have been extensively investigated, including DACH, SIX, and EYA. Dysregulated RDGN signaling is associated with the initiation and progression of tumors. In recent years, it has been found that the members of this network can be used as prognostic markers for cancer patients. Moreover, they are considered to be potential therapeutic targets for cancer. Here, we summarize the research progress of RDGN members from biological functions to signaling transduction, especially emphasizing their effects on tumors. Additionally, we discuss the roles of RDGN members in the development of organs and tissue as well as their correlations with the pathogenesis of chronic kidney disease and coronary heart disease. By summarizing the roles of RDGN members in human diseases, we hope to promote future investigations into RDGN and provide potential therapeutic strategies for patients.
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Affiliation(s)
- Shuangli Zhu
- grid.412793.a0000 0004 1799 5032Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Wanling Li
- grid.412793.a0000 0004 1799 5032Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China ,grid.470966.aCancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032 China
| | - Hao Zhang
- grid.412793.a0000 0004 1799 5032Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Yuheng Yan
- grid.412793.a0000 0004 1799 5032Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Qi Mei
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
| | - Kongming Wu
- Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China. .,Cancer Center, Tongji hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Plasma concentration of Bisphenol A and leptin in patients with meningioma and glioma: A pilot study. Adv Med Sci 2022; 67:229-233. [PMID: 35594764 DOI: 10.1016/j.advms.2022.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/22/2022] [Accepted: 04/14/2022] [Indexed: 11/23/2022]
Abstract
PURPOSE Recent increase in incidence of meningiomas suggests the need to search for new risk factors. Leptin, a potentially pro-angiogenic and proliferative agent, could be a candidate for this role, as its expression correlates with body mass index (BMI). Because development of meningioma has also been linked to sex hormones, bisphenol A (BPA), a known xenoestrogen, can also be taken into consideration as a potential risk factor. The aim of this study was to determine plasma concentrations of both substances in patients with meningiomas and to match it to patients with gliomas - a group of brain tumors less hormone- and BMI-dependent. MATERIALS & METHODS Concentrations of BPA and leptin were measured in plasma of 24 patients with low grade meningioma and in 29 patients with glioma, using gas chromatography-mass spectrometry (GC-MS) and ELISA kits, respectively. The concentrations of both substances in patients with neoplasms were interpreted in relation to their concentration in healthy population, published in recent reports. RESULTS Free and conjugated BPA were present in both meningioma and glioma patients. Moreover, their concentrations far exceeded those reported in the healthy population. Nevertheless, the level of leptin revealed to be significantly higher in meningioma patients than in glioma patients. CONCLUSIONS Occurrence of both meningioma and glioma may be accompanied by increased concentrations of leptin and BPA. Further large-scale studies are needed to clarify whether the presence of both substances may play a role in pathogenesis or influence clinical course in patients with brain neoplasms.
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MPscore: A Novel Predictive and Prognostic Scoring for Progressive Meningioma. Cancers (Basel) 2021; 13:cancers13051113. [PMID: 33807688 PMCID: PMC7961759 DOI: 10.3390/cancers13051113] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Subtyping for meningioma is urgently required to stratify the patients with high risks of recurrence and progression due to the intertumoral heterogeneity in meningioma. Here, we performed a consensus clustering of 179 meningiomas and identified progressive subtype (subtype 3) based the transcriptome profiles. Loss of chromosome 1q along with Neurofibromin 2 (NF2) mutation or loss of chromosome 22p is exclusively presented in subtype 3 meningioma. DNA methylation analyses of meningioma subtypes also suggested hypermethylation was observed in subtype 3 meningioma. Our findings identified low expression of Alkaline Phosphatase (ALPL) is the most significant feature in progressive subtype of meningioma. We constructed and validated a meningioma progression score (MPscore) to characterize the progressive phenotype in meningioma. The predictive accuracy has also been validated in three independent cohorts. Therefore, MPscore can be potentially useful for meningioma recurrence prediction and stratification. Abstract Meningioma is the most common tumor in central nervous system (CNS). Although most cases of meningioma are benign (WHO grade I) and curable by surgical resection, a few tumors remain diagnostically and therapeutically challenging due to the frequent recurrence and progression. The heterogeneity of meningioma revealed by DNA methylation profiling suggests the demand of subtyping for meningioma. Therefore, we performed a clustering analyses to characterize the progressive features of meningioma and constructed a meningioma progression score to predict the risk of the recurrence. A total of 179 meningioma transcriptome from RNA sequencing was included for progression subtype clustering. Four biologically distinct subtypes (subtype 1, subtype 2, subtype 3 and subtype 4) were identified. Copy number alternation and genomewide DNA methylation of each subtype was also characterized. Immune cell infiltration was examined by the microenvironment cell populations counter. All anaplastic meningiomas (7/7) and most atypical meningiomas (24/32) are enriched in subtype 3 while no WHO II or III meningioma presents in subtype 1, suggesting subtype 3 meningioma is a progressive subtype. Stemness index and immune response are also heterogeneous across four subtypes. Monocytic lineage is the most immune cell type in all meningiomas, except for subtype 1. CD8 positive T cells are predominantly observed in subtype 3. To extend the clinical utility of progressive meningioma subtyping, we constructed the meningioma progression score (MPscore) by the signature genes in subtype 3. The predictive accuracy and prognostic capacity of MPscore has also been validated in three independent cohort. Our study uncovers four biologically distinct subtypes in meningioma and the MPscore is potentially helpful in the recurrence risk prediction and response to treatments stratification in meningioma.
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Helgager J, Driver J, Hoffman S, Bi WL. Molecular Advances in Central Nervous System Mesenchymal Tumors. Surg Pathol Clin 2020; 13:291-303. [PMID: 32389268 DOI: 10.1016/j.path.2020.02.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Mesenchymal tumors of the central nervous system (CNS) comprise an array of neoplasms that may arise from or secondarily affect the CNS and its immediate surroundings. This review focuses on meningiomas and solitary fibrous tumors, the most common primary CNS mesenchymal tumors, and discusses recent advances in unveiling the molecular landscapes of these neoplasms. An effort is made to underscore those molecular findings most relevant to tumor diagnostics and prognostication from a practical perspective. As molecular techniques become more readily used at the clinical level, such alterations may strengthen formal grading schemes and lend themselves to treatment with targeted therapies.
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Affiliation(s)
- Jeffrey Helgager
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph Driver
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Samantha Hoffman
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wenya Linda Bi
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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10
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Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging. Nat Protoc 2019; 14:2900-2930. [PMID: 31534232 DOI: 10.1038/s41596-019-0206-y] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 06/03/2019] [Indexed: 12/27/2022]
Abstract
Multiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A growing number of methods applicable to formalin-fixed, paraffin-embedded (FFPE) tissue sections have been described, the majority of which rely on antibodies for antigen detection and mapping. This protocol provides step-by-step procedures for confirming the selectivity and specificity of antibodies used in fluorescence-based tissue imaging and for the construction and validation of antibody panels. Although the protocol is implemented using tissue-based cyclic immunofluorescence (t-CyCIF) as an imaging platform, these antibody-testing methods are broadly applicable. We demonstrate assembly of a 16-antibody panel for enumerating and localizing T cells and B cells, macrophages, and cells expressing immune checkpoint regulators. The protocol is accessible to individuals with experience in microscopy and immunofluorescence; some experience in computation is required for data analysis. A typical 30-antibody dataset for 20 FFPE slides can be generated within 2 weeks.
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11
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Mendelian randomization provides support for obesity as a risk factor for meningioma. Sci Rep 2019; 9:309. [PMID: 30670737 PMCID: PMC6343031 DOI: 10.1038/s41598-018-36186-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/16/2018] [Indexed: 02/07/2023] Open
Abstract
Little is known about the causes of meningioma. Obesity and obesity-related traits have been reported in several epidemiological observational studies to be risk factors for meningioma. We performed an analysis of genetic variants associated with obesity-related traits to assess the relationship with meningioma risk using Mendelian randomization (MR), an approach unaffected by biases from temporal variability and reverse causation that might have affected earlier investigations. We considered 11 obesity-related traits, identified genetic instruments for these factors, and assessed their association with meningioma risk using data from a genome-wide association study comprising 1,606 meningioma patients and 9,823 controls. To evaluate the causal relationship between the obesity-related traits and meningioma risk, we consider the estimated odds ratio (OR) of meningioma for each genetic instrument. We identified positive associations between body mass index (odds ratio [ORSD] = 1.27, 95% confidence interval [CI] = 1.03–1.56, P = 0.028) and body fat percentage (ORSD = 1.28, 95% CI = 1.01–1.63, P = 0.042) with meningioma risk, albeit non-significant after correction for multiple testing. Associations for basal metabolic rate, diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, systolic blood pressure, total cholesterol, triglycerides and waist circumference with risk of meningioma were non-significant. Our analysis provides additional support for obesity being associated with an increased risk of meningioma.
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12
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Dunn IF, Du Z, Touat M, Sisti MB, Wen PY, Umeton R, Dubuc AM, Ducar M, Canoll PD, Severson E, Elvin JA, Ramkissoon SH, Lin JR, Cabrera L, Acevedo B, Sorger PK, Ligon KL, Santagata S, Reardon DA. Mismatch repair deficiency in high-grade meningioma: a rare but recurrent event associated with dramatic immune activation and clinical response to PD-1 blockade. JCO Precis Oncol 2018; 2018. [PMID: 30801050 DOI: 10.1200/po.18.00190] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Ian F Dunn
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA
| | - Ziming Du
- Department of Pathology, Brigham and Women's Hospital, Boston, MA.,Ludwig Center at Harvard Medical School, Boston, MA
| | - Mehdi Touat
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA
| | - Michael B Sisti
- Department of Neurosurgery, Columbia University Medical Center, New York City, NY
| | - Patrick Y Wen
- Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Renato Umeton
- Department of Informatics, Dana-Farber Cancer Institute, Boston, MA
| | - Adrian M Dubuc
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Matthew Ducar
- Department of Informatics, Dana-Farber Cancer Institute, Boston, MA.,Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - Peter D Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York City, NY
| | | | | | - Shakti H Ramkissoon
- Foundation Medicine, Inc., Morrisville, NC.,Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jia-Ren Lin
- Ludwig Center at Harvard Medical School, Boston, MA.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA
| | - Lais Cabrera
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Brenda Acevedo
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Peter K Sorger
- Ludwig Center at Harvard Medical School, Boston, MA.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA.,Department of Systems Biology, Harvard Medical School, Boston, MA
| | - Keith L Ligon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Boston, MA.,Ludwig Center at Harvard Medical School, Boston, MA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA
| | - David A Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.,Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA
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