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Moodi F, Khodadadi Shoushtari F, Ghadimi DJ, Valizadeh G, Khormali E, Salari HM, Ohadi MAD, Nilipour Y, Jahanbakhshi A, Rad HS. Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors. J Magn Reson Imaging 2024; 60:923-938. [PMID: 38031466 DOI: 10.1002/jmri.29146] [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: 08/11/2023] [Revised: 11/07/2023] [Accepted: 11/11/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Glioma grading transformed in World Health Organization (WHO) 2021 CNS tumor classification, integrating molecular markers. However, the impact of this change on radiomics-based machine learning (ML) classifiers remains unexplored. PURPOSE To assess the performance of ML in classifying glioma tumor grades based on various WHO criteria. STUDY TYPE Retrospective. SUBJECTS A neuropathologist regraded gliomas of 237 patients into WHO 2016 and 2021 from 2007 criteria. FIELD STRENGTH/SEQUENCE Multicentric 0.5 to 3 Tesla; pre- and post-contrast T1-weighted, T2-weighted, and fluid-attenuated inversion recovery. ASSESSMENT Radiomic features were selected using random forest-recursive feature elimination. The synthetic minority over-sampling technique (SMOTE) was implemented for data augmentation. Stratified 10-fold cross-validation with and without SMOTE was used to evaluate 11 classifiers for 3-grade (2, 3, and 4; WHO 2016 and 2021) and 2-grade (low and high grade; WHO 2007 and 2021) classification. Additionally, we developed the models on data randomly divided into training and test sets (mixed-data analysis), or data divided based on the centers (independent-data analysis). STATISTICAL TESTS We assessed ML classifiers using sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve (AUC). Top performances were compared with a t-test and categorical data with the chi-square test using a significance level of P < 0.05. RESULTS In the mixed-data analysis, Stacking Classifier without SMOTE achieved the highest accuracy (0.86) and AUC (0.92) in 3-grade WHO 2021 grouping. The results of WHO 2021 were significantly better than WHO 2016 (P-value<0.0001). In the 2-grade analysis, ML achieved 1.00 in all metrics. In the independent-data analysis, ML classifiers showed strong discrimination between grade 2 and 4, despite lower performance metrics than the mixed analysis. DATA CONCLUSION ML algorithms performed better in glioma tumor grading based on WHO 2021 criteria. Nonetheless, the clinical use of ML classifiers needs further investigation. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Farzan Moodi
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | | | - Delaram J Ghadimi
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Gelareh Valizadeh
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran
| | - Ehsan Khormali
- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Hanieh Mobarak Salari
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Amin Dabbagh Ohadi
- Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran
- Departments of Pediatric Neurosurgery Children's Medical Center Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Yalda Nilipour
- Pediatric Pathology Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amin Jahanbakhshi
- Stem Cell and Regenerative Medicine Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
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Zhang X, Zhang X, Liu T, Sha K. Comprehensive analysis of the prognostic and immunological signature of TNFAIP8 family genes in human glioma. Sci Rep 2024; 14:17875. [PMID: 39090168 PMCID: PMC11294591 DOI: 10.1038/s41598-024-68784-y] [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: 04/08/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024] Open
Abstract
TNFAIP8 family molecules have been recognized for their involvement in the progression of tumors across a range of cancer types. Emerging experimental data suggests a role for certain TNFAIP8 family molecules in the development of glioma. Nonetheless, the comprehensive understanding of the genomic alterations, prognostic significance, and immunological profiles of TNFAIP8 family molecules in glioma remains incomplete. In the study, using the comprehensive bioinformatics tools, we explored the unique functions of 4 TNFAIP8 members including TNFAIP8, TNFAIP8L1, TNFAIP8L2 and TNFAIP8L3 in glioma. The expressions of TNFAIP8, TNFAIP8L1, TNFAIP8L2, and TNFAIP8L3 were notably upregulated in glioma tissues compared to normal tissues. Furthermore, survival analysis indicated that elevated expression levels of TNFAIP8, TNFAIP8L1 and TNFAIP8L2 were correlated with unfavorable outcomes in terms of overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) among glioma patients. Genetic modifications, such as mutations and copy number alterations, within the TNFAIP8 family exhibited a significant association with extended OS, DSS and PFS in individuals diagnosed with glioma. The findings suggest a noteworthy correlation between TNFAIP8 family members and the age and 1p/19q codeletion status of glioma patients. We also found that there were significant relationships between TNFAIP8 family expression and tumor immunity in glioma. Furthermore, functional annotation of TNFAIP8 family members and their co-expressed genes in gliomas was carried out using GO and KEGG pathway analysis. The GO analysis revealed that the primary biological processes influenced by the TNFAIP8 family co-expressed genes included cell chemotaxis, temperature homeostasis, and endocytic vesicle formation. Additionally, the KEGG analysis demonstrated that TNFAIP8 family co-expressed genes are involved in regulating various pathways such as inflammatory mediator regulation of TRP channels, pathways in cancer, prolactin signaling pathway, and Fc gamma R-mediated phagocytosis. Overall, the findings suggest that TNFAIP8 family members may play a significant role in the development of glioma and have the potential to serve as prognostic indicators and therapeutic targets for individuals with glioma.
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Affiliation(s)
- Xuezhong Zhang
- Department of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, China
| | - Xuebin Zhang
- Department of Anorectal Surgery, Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, China
| | - Tonggang Liu
- Department of Infectious Diseases, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, China.
| | - Kaihui Sha
- Binzhou Medical University School of Nursing, Binzhou, 256603, Shandong, China.
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Chen J, Hu J, Li X, Zong S, Zhang G, Guo Z, Jing Z. Enhydrin suppresses the malignant phenotype of GBM via Jun/Smad7/TGF-β1 signaling pathway. Biochem Pharmacol 2024; 226:116380. [PMID: 38945276 DOI: 10.1016/j.bcp.2024.116380] [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: 12/05/2023] [Revised: 06/05/2024] [Accepted: 06/20/2024] [Indexed: 07/02/2024]
Abstract
GBM is the most threatening form of brain tumor. The advancement of GBM is propelled by the growth, infiltration, and movement of cancer cells. Understanding the underlying mechanisms and identifying new therapeutic agents are crucial for effective GBM treatment. Our research focused on examining the withhold influence of Enhydrin on the destructive activity of GBM cells, both in laboratory settings and within living organisms. By employing network pharmacology and bioinformatics analysis, we have determined that Jun serves as the gene of interest, and EMT as the critical signaling pathway. Mechanistically, Enhydrin inhibits the activity of the target gene Jun to increase the expression of Smad7, which is infinitively regulated by the transcription factor Jun, and as the inhibitory transcription factor, Smad7 can down-regulate TGF-β1 and the subsequent Smad2/3 signaling pathway. Consequently, this whole process greatly hinders the EMT mechanism of GBM, leading to the notable decline in cell proliferation, invasion, and migration. In summary, our research shows that Enhydrin hinders EMT by focusing on the Jun/Smad7/TGF-β1 signaling pathway, presenting a promising target for treating GBM. Moreover, Enhydrin demonstrates encouraging prospects as a new medication for GBM treatment.
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Affiliation(s)
- Junhua Chen
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Jinpeng Hu
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Xinqiao Li
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Shengliang Zong
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Guoqing Zhang
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Zhengting Guo
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Zhitao Jing
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
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Serrano-Sponton L, Lange F, Dauth A, Krenzlin H, Perez A, Januschek E, Schumann S, Jussen D, Czabanka M, Ringel F, Keric N, Gonzalez-Escamilla G. Harnessing the frontal aslant tract's structure to assess its involvement in cognitive functions: new insights from 7-T diffusion imaging. Sci Rep 2024; 14:17455. [PMID: 39075100 PMCID: PMC11286763 DOI: 10.1038/s41598-024-67013-w] [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: 01/28/2024] [Accepted: 07/08/2024] [Indexed: 07/31/2024] Open
Abstract
The first therapeutical goal followed by neurooncological surgeons dealing with prefrontal gliomas is attempting supramarginal tumor resection preserving relevant neurological function. Therefore, advanced knowledge of the frontal aslant tract (FAT) functional neuroanatomy in high-order cognitive domains beyond language and speech processing would help refine neurosurgeries, predicting possible relevant cognitive adverse events and maximizing the surgical efficacy. To this aim we performed the recently developed correlational tractography analyses to evaluate the possible relationship between FAT's microstructural properties and cognitive functions in 27 healthy subjects having ultra-high-field (7-Tesla) diffusion MRI. We independently assessed FAT segments innervating the dorsolateral prefrontal cortices (dlPFC-FAT) and the supplementary motor area (SMA-FAT). FAT microstructural robustness, measured by the tract's quantitative anisotropy (QA), was associated with a better performance in episodic memory, visuospatial orientation, cognitive processing speed and fluid intelligence but not sustained selective attention tests. Overall, the percentual tract volume showing an association between QA-index and improved cognitive scores (pQACV) was higher in the SMA-FAT compared to the dlPFC-FAT segment. This effect was right-lateralized for verbal episodic memory and fluid intelligence and bilateralized for visuospatial orientation and cognitive processing speed. Our results provide novel evidence for a functional specialization of the FAT beyond the known in language and speech processing, particularly its involvement in several higher-order cognitive domains. In light of these findings, further research should be encouraged to focus on neurocognitive deficits and their impact on patient outcomes after FAT damage, especially in the context of glioma surgery.
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Affiliation(s)
- Lucas Serrano-Sponton
- Department of Neurosurgery, Sana Clinic Offenbach, Johann Wolfgang Goethe University Frankfurt am Main Academic Hospitals, Starkenburgring 66, 63069, Offenbach am Main, Germany
| | - Felipa Lange
- Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany
| | - Alice Dauth
- Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany
| | - Harald Krenzlin
- Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany
| | - Ana Perez
- Department of Neurology, Oslo University Hospital HF, Sognsvannsveien 20, 0372, Oslo, Norway
| | - Elke Januschek
- Department of Neurosurgery, Sana Clinic Offenbach, Johann Wolfgang Goethe University Frankfurt am Main Academic Hospitals, Starkenburgring 66, 63069, Offenbach am Main, Germany
| | - Sven Schumann
- Institute of Anatomy, University Medical Center of the Johannes Gutenberg-University Mainz, Johann-Joachim-Becher-Weg 13, 55128, Mainz, Germany
| | - Daniel Jussen
- Department of Neurosurgery, University Medical Center of the Johann Wolfgang Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Marcus Czabanka
- Department of Neurosurgery, University Medical Center of the Johann Wolfgang Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Florian Ringel
- Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany
| | - Naureen Keric
- Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neuroscience, Rhine Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeck Str. 1, 55131, Mainz, Germany.
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Lu F, Jiang X, Lin K, Zheng P, Wu S, Zeng G, Wei D. Oncogenic Gene CNOT7 Promotes Progression and Induces Poor Prognosis of Glioma. Mol Biotechnol 2024:10.1007/s12033-024-01223-5. [PMID: 38985240 DOI: 10.1007/s12033-024-01223-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/21/2024] [Indexed: 07/11/2024]
Abstract
Glioma is the most common malignant brain tumor in the central nervous system with the poor prognosis of patients. The CNOT7 (CCR4-NOT Transcription Complex Subunit 7) is an important functional subunit of CCR4-NOT protein complex that has not been reported in glioma. In this study, we aimed to explore the function of CNOT7 in glioma. The TCGA (The Cancer Genome Atlas) and CGGA (Chinese Glioma Genome Atlas) databases were used for investigating the expression and survival condition of CNOT7 in glioma. The cellular function experiments of qRT-PCR, CCK-8 assays, wound healing assays, and Transwell assays were conducted to verify the function of knockdown CNOT7 in the glioma cell lines DBTRG and U251. Enrichment analysis was used to explore the molecular mechanism of CONT7 in glioma. What is more, the upstream regulation transcription factors of CNOT7 were analyzed based on the ChIP-Atlas and cBioportal (provisional) databases, and verified by the qRT-PCR and luciferase reporter assay. The CNOT7 was highly expressed in glioma and presented the poorer prognosis. The knockdown of CNOT7 inhibited the proliferation, migration, and invasion of glioma cell line, compared to control group. The enrichment analysis revealed that the CNOT7 participated in the development of glioma via G2M checkpoint, E2F targets, IL6-JAK-STAT3, and TNF-α signaling pathways via NF-κB. Besides, it was found that the HDAC2 (Human histone deacetylase-2) contributes to increased CNOT7 expression in glioma. The high-expressed CNOT7 is an oncogene with poor prognosis and participate the progression of glioma.
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Affiliation(s)
- Feng Lu
- Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fuzhou University Affiliated Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - Xiulong Jiang
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - Kun Lin
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - Pengfeng Zheng
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - Shizhong Wu
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - Guangming Zeng
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China
| | - De Wei
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, 134 East Street, Fuzhou, 350001, China.
- Department of Neurosurgery, Fujian Provincial Hospital, 134 East Street, Fuzhou, 350001, China.
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Gan Y, Yu Y, Xu H, Piao H. Liposomal Nanomaterials: A Rising Star in Glioma Treatment. Int J Nanomedicine 2024; 19:6757-6776. [PMID: 38983132 PMCID: PMC11232959 DOI: 10.2147/ijn.s470478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 06/22/2024] [Indexed: 07/11/2024] Open
Abstract
Glioma is a primary malignant tumor in the central nervous system. In recent years, the treatment of glioma has developed rapidly, but the overall survival of glioma patients has not significantly improved. Due to the presence of the blood-brain barrier and intracranial tumor barrier, many drugs with good effects to cure glioma in vitro cannot be accurately transported to the corresponding lesions. In order to enable anti-tumor drugs to overcome the barriers and target glioma, nanodrug delivery systems have emerged recently. It is gratifying that liposomes, as a multifunctional nanodrug delivery carrier, which can be compatible with hydrophilic and hydrophobic drugs, easily functionalized by various targeted ligands, biodegradable, and hypoimmunogenic in vivo, has become a quality choice to solve the intractable problem of glioma medication. Therefore, we focused on the liposome nanodrug delivery system, and summarized its current research progress in glioma. Hopefully, this review may provide new ideas for the research and development of liposome-based nanomaterials for the clinical treatment of glioma.
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Affiliation(s)
- Yu Gan
- Department of Neurosurgery, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, People’s Republic of China
- Central Laboratory, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, People’s Republic of China
| | - Yingying Yu
- Department of Neurosurgery, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, People’s Republic of China
| | - Huizhe Xu
- Central Laboratory, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, People’s Republic of China
| | - Haozhe Piao
- Department of Neurosurgery, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, People’s Republic of China
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Papadimitrakis D, Perdikakis M, Gargalionis AN, Papavassiliou AG. Biomarkers in Cerebrospinal Fluid for the Diagnosis and Monitoring of Gliomas. Biomolecules 2024; 14:801. [PMID: 39062515 PMCID: PMC11274947 DOI: 10.3390/biom14070801] [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: 06/07/2024] [Revised: 07/01/2024] [Accepted: 07/03/2024] [Indexed: 07/28/2024] Open
Abstract
Gliomas are the most common type of malignant brain tumor and are characterized by a plethora of heterogeneous molecular alterations. Current treatments require the emergence of reliable biomarkers that will aid personalized treatment decisions and increase life expectancy. Glioma tissues are not as easily accessible as other solid tumors; therefore, detecting prominent biomarkers in biological fluids is necessary. Cerebrospinal fluid (CSF) circulates adjacent to the cerebral parenchyma and holds promise for discovering useful prognostic, diagnostic, and predictive biomarkers. In this review, we summarize extensive research regarding the role of circulating DNA, tumor cells, proteins, microRNAs, metabolites, and extracellular vesicles as potential CSF biomarkers for glioma diagnosis, prognosis, and monitoring. Future studies should address discrepancies and issues of specificity regarding CSF biomarkers, as well as the validation of candidate biomarkers.
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Affiliation(s)
- Dimosthenis Papadimitrakis
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.P.); (M.P.)
| | - Miltiadis Perdikakis
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.P.); (M.P.)
| | - Antonios N. Gargalionis
- Laboratory of Clinical Biochemistry, Medical School, ‘Attikon’ University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Athanasios G. Papavassiliou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.P.); (M.P.)
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Tataranu LG, Turliuc S, Rizea RE, Dricu A, Alexandru O, Staicu GA, Kamel A. A Synopsis of Biomarkers in Glioblastoma: Past and Present. Curr Issues Mol Biol 2024; 46:6903-6939. [PMID: 39057054 PMCID: PMC11275428 DOI: 10.3390/cimb46070412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/27/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
Accounting for 48% of malignant brain tumors in adults, glioblastoma has been of great interest in the last decades, especially in the biomolecular and neurosurgical fields, due to its incurable nature and notable neurological morbidity. The major advancements in neurosurgical technologies have positively influenced the extent of safe tumoral resection, while the latest progress in the biomolecular field of GBM has uncovered new potential therapeutical targets. Although GBM currently has no curative therapy, recent progress has been made in the management of this disease, both from surgical and molecular perspectives. The main current therapeutic approach is multimodal and consists of neurosurgical intervention, radiotherapy, and chemotherapy, mostly with temozolomide. Although most patients will develop treatment resistance and tumor recurrence after surgical removal, biomolecular advancements regarding GBM have contributed to a better understanding of this pathology and its therapeutic management. Over the past few decades, specific biomarkers have been discovered that have helped predict prognosis and treatment responses and contributed to improvements in survival rates.
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Affiliation(s)
- Ligia Gabriela Tataranu
- Neurosurgical Department, University of Medicine and Pharmacy “Carol Davila”, 020022 Bucharest, Romania;
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
| | - Serban Turliuc
- Medical Department, University of Medicine and Pharmacy “G. T. Popa”, 700115 Iasi, Romania;
| | - Radu Eugen Rizea
- Neurosurgical Department, University of Medicine and Pharmacy “Carol Davila”, 020022 Bucharest, Romania;
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
| | - Anica Dricu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Oana Alexandru
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Georgiana-Adeline Staicu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy, 200349 Craiova, Romania (O.A.); (G.-A.S.)
| | - Amira Kamel
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, 041915 Bucharest, Romania;
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Kucinska M, Pospieszna J, Tang J, Lisiak N, Toton E, Rubis B, Murias M. The combination therapy using tyrosine kinase receptors inhibitors and repurposed drugs to target patient-derived glioblastoma stem cells. Biomed Pharmacother 2024; 176:116892. [PMID: 38876048 DOI: 10.1016/j.biopha.2024.116892] [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: 03/13/2024] [Revised: 05/20/2024] [Accepted: 06/05/2024] [Indexed: 06/16/2024] Open
Abstract
The lesson from many studies investigating the efficacy of targeted therapy in glioblastoma (GBM) showed that a future perspective should be focused on combining multiple target treatments. Our research aimed to assess the efficacy of drug combinations against glioblastoma stem cells (GSCs). Patient-derived cells U3042, U3009, and U3039 were obtained from the Human Glioblastoma Cell Culture resource. Additionally, the study was conducted on a GBM commercial U251 cell line. Gene expression analysis related to receptor tyrosine kinases (RTKs), stem cell markers and genes associated with significant molecular targets was performed, and selected proteins encoded by these genes were assessed using the immunofluorescence and flow cytometry methods. The cytotoxicity studies were preceded by analyzing the expression of specific proteins that serve as targets for selected drugs. The cytotoxicity study using the MTS assay was conducted to evaluate the effects of selected drugs/candidates in monotherapy and combinations. The most cytotoxic compounds for U3042 cells were Disulfiram combined with Copper gluconate (DSF/Cu), Dacomitinib, and Foretinib with IC50 values of 52.37 nM, 4.38 µM, and 4.54 µM after 24 h incubation, respectively. Interactions were assessed using SynergyFinder Plus software. The analysis enabled the identification of the most effective drug combinations against patient-derived GSCs. Our findings indicate that the most promising drug combinations are Dacomitinib and Foretinib, Dacomitinib and DSF/Cu, and Foretinib and AZD3759. Since most tested combinations have not been previously examined against glioblastoma stem-like cells, these results can shed new light on designing the therapeutic approach to target the GSC population.
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Affiliation(s)
- Malgorzata Kucinska
- Department of Toxicology, Poznan University of Medical Sciences 3 Rokietnicka Street, Poznan 60-806, Poland.
| | - Julia Pospieszna
- Department of Toxicology, Poznan University of Medical Sciences 3 Rokietnicka Street, Poznan 60-806, Poland.
| | - Jing Tang
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
| | - Natalia Lisiak
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, 3 Rokietnicka Street, Poznan 60-806, Poland.
| | - Ewa Toton
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, 3 Rokietnicka Street, Poznan 60-806, Poland.
| | - Blazej Rubis
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, 3 Rokietnicka Street, Poznan 60-806, Poland.
| | - Marek Murias
- Department of Toxicology, Poznan University of Medical Sciences 3 Rokietnicka Street, Poznan 60-806, Poland.
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Chakrabarti I, Mazumder S. What Changed in CNS5? A Mini-Review on General Changes and Adult Diffuse Gliomas. Ann Afr Med 2024; 23:255-261. [PMID: 39034544 DOI: 10.4103/aam.aam_63_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/03/2023] [Indexed: 07/23/2024] Open
Abstract
The fifth edition of the WHO classification of tumors of the central nervous system (WHO CNS5) was published in 2021 which is the sixth version of the international standard for the diagnostics of CNS tumors. Regular updates of the consortium to inform molecular and practical approaches to CNS tumor taxonomy (cIMPACT-NOW) shaped the WHO CNS5 which continues the trend of incorporating the molecular characteristics of tumors into the histological and immunohistochemical findings. The various updates can be classified into general changes across all tumors and specific changes within the tumor groups. This mini-review highlights the general changes and the major changes in adult diffuse gliomas.
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Affiliation(s)
- Indranil Chakrabarti
- Department of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Kalyani, West Bengal, India
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11
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Yadav P, Vengoji R, Jain M, Batra SK, Shonka N. Pathophysiological role of histamine signaling and its implications in glioblastoma. Biochim Biophys Acta Rev Cancer 2024; 1879:189146. [PMID: 38955315 DOI: 10.1016/j.bbcan.2024.189146] [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: 01/08/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
Glioblastoma (GBM), an extremely aggressive and prevalent malignant brain tumor, remains a challenge to treat. Despite a multimodality treatment approach, GBM recurrence remains inevitable, particularly with the emergence of temozolomide (TMZ) resistance and limited treatment options. Surprisingly, previous studies show that a history of allergies, atopy, or asthma is inversely associated with GBM risk. Further, the electronic medical record at the University Hospital of Lausanne showed that the GBM patients taking antihistamine during treatment had better survival. Histamine is an essential neurotransmitter in the brain and plays a significant role in regulating sleep, hormonal balance, and cognitive functions. Elevated levels of histamine and increased histamine receptor expression have been found in different tumors and their microenvironments, including GBM. High histamine 1 receptor (HRH1) expression is inversely related to overall and progression-free survival in GBM patients, further emphasizing the role of histamine in disease progression. This review aims to provide insights into the challenges of GBM treatment, the role of histamine in GBM progression, and the rationale for considering antihistamines as targeted therapy. The review concludes by encouraging further investigation into antihistamine mechanisms and their impact on the tumor microenvironment.
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Affiliation(s)
- Poonam Yadav
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
| | - Raghupathy Vengoji
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
| | - Maneesh Jain
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA.
| | - Nicole Shonka
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA; Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE 68198-6840, USA.
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12
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Gorodezki D, Chiang J, Viaene AN, Sievers P, Schmid S, Holzer U, Paulsen F, Schuhmann MU, Witt O, Schittenhelm J, Ebinger M. A multi-institutional series of a novel, recurrent TRIM24::MET fusion-driven infant-type hemispheric glioma reveals significant clinico-pathological heterogeneity. Acta Neuropathol Commun 2024; 12:101. [PMID: 38902810 PMCID: PMC11191198 DOI: 10.1186/s40478-024-01817-9] [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: 03/14/2024] [Accepted: 06/06/2024] [Indexed: 06/22/2024] Open
Abstract
Within the past decade, incremental integration of molecular characteristics into the classification of central nervous system neoplasms increasingly facilitated precise diagnosis and advanced stratification, beyond potentially providing the foundation for advanced targeted therapies. We report a series of three cases of infant-type hemispheric glioma (IHG) involving three infants diagnosed with neuroepithelial tumors of the cerebral hemispheres harboring a novel, recurrent TRIM24::MET fusion. Histopathology showed glial tumors with either low-grade or high-grade characteristics, while molecular characterization found an additional homozygous CDKN2A/B deletion in two cases. Two patients showed leptomeningeal dissemination, while multiple supra- and infratentorial tumor manifestations were found in one case. Following subtotal resection (two cases) and biopsy (one case), treatment intensity of adjuvant chemotherapy regimens did not reflect in the progression patterns within the reported cases. Two patients showed progression after first-line treatment, of which one patient died not responding to tyrosine kinase inhibitor cabozantinib. As the detection of a recurrent TRIM24::MET fusion expands the spectrum of renowned driving fusion genes in IHG, this comparative illustration may indicate a distinct clinico-pathological heterogeneity of tumors bearing this driver alteration. Upfront clinical trials of IHG promoting further characterization and the implementation of individualized therapies involving receptor tyrosine kinase inhibition are required.
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Affiliation(s)
- David Gorodezki
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany.
| | - Jason Chiang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Philipp Sievers
- Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Simone Schmid
- Department of Neuropathology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ursula Holzer
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Frank Paulsen
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Martin U Schuhmann
- Section of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Olaf Witt
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology and Immunology, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jens Schittenhelm
- Department of Neuropathology, Institute of Pathology, University Hospital Tübingen, Tübingen, Germany
| | - Martin Ebinger
- Department of Hematology and Oncology, University Children's Hospital Tübingen, Tübingen, Germany
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13
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Gue R, Lakhani DA. The 2021 World Health Organization Central Nervous System Tumor Classification: The Spectrum of Diffuse Gliomas. Biomedicines 2024; 12:1349. [PMID: 38927556 PMCID: PMC11202067 DOI: 10.3390/biomedicines12061349] [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: 05/13/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
The 2021 edition of the World Health Organization (WHO) classification of central nervous system tumors introduces significant revisions across various tumor types. These updates, encompassing changes in diagnostic techniques, genomic integration, terminology, and grading, are crucial for radiologists, who play a critical role in interpreting brain tumor imaging. Such changes impact the diagnosis and management of nearly all central nervous system tumor categories, including the reclassification, addition, and removal of specific tumor entities. Given their pivotal role in patient care, radiologists must remain conversant with these revisions to effectively contribute to multidisciplinary tumor boards and collaborate with peers in neuro-oncology, neurosurgery, radiation oncology, and neuropathology. This knowledge is essential not only for accurate diagnosis and staging, but also for understanding the molecular and genetic underpinnings of tumors, which can influence treatment decisions and prognostication. This review, therefore, focuses on the most pertinent updates concerning the classification of adult diffuse gliomas, highlighting the aspects most relevant to radiological practice. Emphasis is placed on the implications of new genetic information on tumor behavior and imaging findings, providing necessary tools to stay abreast of advancements in the field. This comprehensive overview aims to enhance the radiologist's ability to integrate new WHO classification criteria into everyday practice, ultimately improving patient outcomes through informed and precise imaging assessments.
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Affiliation(s)
- Racine Gue
- Department of Neuroradiology, West Virginia University, Morgantown, WV 26506, USA
| | - Dhairya A. Lakhani
- Department of Neuroradiology, West Virginia University, Morgantown, WV 26506, USA
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA
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14
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Pandey A, Chandla A, Mekonnen M, Hovis GEA, Teton ZE, Patel KS, Everson RG, Wadehra M, Yang I. Safety and Efficacy of Laser Interstitial Thermal Therapy as Upfront Therapy in Primary Glioblastoma and IDH-Mutant Astrocytoma: A Meta-Analysis. Cancers (Basel) 2024; 16:2131. [PMID: 38893250 PMCID: PMC11171930 DOI: 10.3390/cancers16112131] [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: 05/01/2024] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
Although primary studies have reported the safety and efficacy of LITT as a primary treatment in glioma, they are limited by sample sizes and institutional variation in stereotactic parameters such as temperature and laser power. The current literature has yet to provide pooled statistics on outcomes solely for primary brain tumors according to the 2021 WHO Classification of Tumors of the Central Nervous System (WHO CNS5). In the present study, we identify recent articles on primary CNS neoplasms treated with LITT without prior intervention, focusing on relationships with molecular profile, PFS, and OS. This meta-analysis includes the extraction of data from primary sources across four databases using the Covidence systematic review manager. The pooled data suggest LITT may be a safe primary management option with tumor ablation rates of 94.8% and 84.6% in IDH-wildtype glioblastoma multiforme (GBM) and IDH-mutant astrocytoma, respectively. For IDH-wildtype GBM, the pooled PFS and OS were 5.0 and 9.0 months, respectively. Similar to rates reported in the prior literature, the neurologic and non-neurologic complication rates for IDH-wildtype GBM were 10.3% and 4.8%, respectively. The neurologic and non-neurologic complication rates were somewhat higher in the IDH-mutant astrocytoma cohort at 33% and 8.3%, likely due to a smaller cohort size.
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Affiliation(s)
- Aryan Pandey
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
| | - Anubhav Chandla
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
| | - Mahlet Mekonnen
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
| | - Gabrielle E. A. Hovis
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
| | - Zoe E. Teton
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
- Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Kunal S. Patel
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
- Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA
| | - Richard G. Everson
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
- Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- Ronald Reagan UCLA Medical Center, Los Angeles, CA 90095, USA
| | - Madhuri Wadehra
- Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA
- Department of Pathology and Laboratory Medicine, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
| | - Isaac Yang
- Department of Neurosurgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA (M.M.)
- Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- Ronald Reagan UCLA Medical Center, Los Angeles, CA 90095, USA
- Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
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15
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Silva Santana L, Borges Camargo Diniz J, Mothé Glioche Gasparri L, Buccaran Canto A, Batista Dos Reis S, Santana Neville Ribeiro I, Gadelha Figueiredo E, Paulo Mota Telles J. Application of Machine Learning for Classification of Brain Tumors: A Systematic Review and Meta-Analysis. World Neurosurg 2024; 186:204-218.e2. [PMID: 38580093 DOI: 10.1016/j.wneu.2024.03.152] [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: 01/21/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Classifying brain tumors accurately is crucial for treatment and prognosis. Machine learning (ML) shows great promise in improving tumor classification accuracy. This study evaluates ML algorithms for differentiating various brain tumor types. METHODS A systematic review and meta-analysis were conducted, searching PubMed, Embase, and Web of Science up to March 14, 2023. Studies that only investigated image segmentation accuracy or brain tumor detection instead of classification were excluded. We extracted binary diagnostic accuracy data, constructing contingency tables to derive sensitivity and specificity. RESULTS Fifty-one studies were included. The pooled area under the curve for glioblastoma versus lymphoma and low-grade versus high-grade gliomas were 0.99 (95% confidence interval [CI]: 0.98-1.00) and 0.89, respectively. The pooled sensitivity and specificity for benign versus malignant tumors were 0.90 (95% CI: 0.85-0.93) and 0.93 (95% CI: 0.90-0.95), respectively. The pooled sensitivity and specificity for low-grade versus high-grade gliomas were 0.99 (95% CI: 0.97-1.00) and 0.94, (95% CI: 0.79-0.99), respectively. Primary versus metastatic tumor identification yields sensitivity and specificity of 0.89, (95% CI: 0.83-0.93) and 0.87 (95% CI: 0.82-0.91), correspondingly. The differentiation of gliomas from pituitary tumors yielded the highest results among primary brain tumor classifications: sensitivity of 0.99 (95% CI: 0.99-1.00) and specificity of 0.99 (95% CI: 0.98-1.00). CONCLUSIONS ML demonstrated excellent performance in classifying brain tumor images, with near-maximum area under the curves, sensitivity, and specificity.
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Affiliation(s)
| | | | | | | | | | - Iuri Santana Neville Ribeiro
- Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Eberval Gadelha Figueiredo
- Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - João Paulo Mota Telles
- Department of Neurology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
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16
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Pacult MA, Przybylowski CJ, Raza SM, DeMonte F. Surgical Management of High-Grade Meningiomas. Cancers (Basel) 2024; 16:1978. [PMID: 38893100 PMCID: PMC11171173 DOI: 10.3390/cancers16111978] [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: 08/24/2023] [Revised: 09/27/2023] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Maximal resection with the preservation of neurological function are the mainstays of the surgical management of high-grade meningiomas. Surgical morbidity is strongly associated with tumor size, location, and invasiveness, whereas patient survival is strongly associated with the extent of resection, tumor biology, and patient health. A versatile microsurgical skill set combined with a cogent multimodality treatment plan is critical in order to achieve optimal patient outcomes. Continued refinement in surgical techniques in conjunction with directed radiotherapeutic and medical therapies will define future treatment.
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Affiliation(s)
- Mark A. Pacult
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, AZ 85013, USA;
| | - Colin J. Przybylowski
- Division of Neurosurgery, Fukushima Brain Tumor Center, Raleigh Neurosurgical Clinic, Raleigh, NC 27609, USA;
| | - Shaan M. Raza
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA;
| | - Franco DeMonte
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA;
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17
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Albakr A, Baghdadi A, Karmur BS, Lama S, Sutherland GR. Meningioma recurrence: Time for an online prediction tool? Surg Neurol Int 2024; 15:155. [PMID: 38840600 PMCID: PMC11152515 DOI: 10.25259/sni_43_2024] [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: 01/17/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
Background Meningioma, the most common brain tumor, traditionally considered benign, has a relatively high risk of recurrence over a patient's lifespan. In addition, with the emergence of several clinical, radiological, and molecular variables, it is becoming evident that existing grading criteria, including Simpson's and World Health Organization classification, may not be sufficient or accurate. As web-based tools for widespread accessibility and usage become commonplace, such as those for gene identification or other cancers, it is timely for meningioma care to take advantage of evolving new markers to help advance patient care. Methods A scoping review of the meningioma literature was undertaken using the MEDLINE and Embase databases. We reviewed original studies and review articles from September 2022 to December 2023 that provided the most updated information on the demographic, clinical, radiographic, histopathological, molecular genetics, and management of meningiomas in the adult population. Results Our scoping review reveals a large body of meningioma literature that has evaluated the determinants for recurrence and aggressive tumor biology, including older age, female sex, genetic abnormalities such as telomerase reverse transcriptase promoter mutation, CDKN2A deletion, subtotal resection, and higher grade. Despite a large body of evidence on meningiomas, however, we noted a lack of tools to aid the clinician in decision-making. We identified the need for an online, self-updating, and machine-learning-based dynamic model that can incorporate demographic, clinical, radiographic, histopathological, and genetic variables to predict the recurrence risk of meningiomas. Conclusion Although a challenging endeavor, a recurrence prediction tool for meningioma would provide critical information for the meningioma patient and the clinician making decisions on long-term surveillance and management of meningiomas.
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Affiliation(s)
| | | | - Brij S. Karmur
- Department of Clinical Neurosciences, Project neuroArm, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
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18
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Zheng Y, Wang X, Ji Q, Fang A, Song L, Xu X, Lin Y, Peng Y, Yu J, Xie L, Chen F, Li X, Zhu S, Zhang B, Zhou L, Yu C, Wang Y, Wang L, Hu H, Zhang Z, Liu B, Wu Z, Li W. OH2 oncolytic virus: A novel approach to glioblastoma intervention through direct targeting of tumor cells and augmentation of anti-tumor immune responses. Cancer Lett 2024; 589:216834. [PMID: 38537773 DOI: 10.1016/j.canlet.2024.216834] [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: 10/28/2023] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/01/2024]
Abstract
Glioblastoma (GBM), the deadliest central nervous system cancer, presents a poor prognosis and scant therapeutic options. Our research spotlights OH2, an oncolytic viral therapy derived from herpes simplex virus 2 (HSV-2), which demonstrates substantial antitumor activity and favorable tolerance in GBM. The extraordinary efficacy of OH2 emanates from its unique mechanisms: it selectively targets tumor cells replication, powerfully induces cytotoxic DNA damage stress, and kindles anti-tumor immune responses. Through single-cell RNA sequencing analysis, we discovered that OH2 not only curtails the proliferation of cancer cells and tumor-associated macrophages (TAM)-M2 but also bolsters the infiltration of macrophages, CD4+ and CD8+ T cells. Further investigation into molecular characteristics affecting OH2 sensitivity revealed potential influencers such as TTN, HMCN2 or IRS4 mutations, CDKN2A/B deletion and IDO1 amplification. This study marks the first demonstration of an HSV-2 derived OV's effectiveness against GBM. Significantly, these discoveries have driven the initiation of a phase I/II clinical trial (ClinicalTrials.gov: NCT05235074). This trial is designed to explore the potential of OH2 as a therapeutic option for patients with recurrent central nervous system tumors following surgical intervention.
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Affiliation(s)
- Yi Zheng
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaomin Wang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiang Ji
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Aizhong Fang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lairong Song
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoying Xu
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Lin
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yichen Peng
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jianyu Yu
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lei Xie
- Department of Neurosurgery, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Feng Chen
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaojie Li
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Sipeng Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Botao Zhang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lili Zhou
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chunna Yu
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - YaLi Wang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Liang Wang
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Han Hu
- National ''111'' Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Provincial Cooperative Innovation Center of Industrial Fermentation, College of Bioengineering, Hubei University of Technology, Wuhan, China
| | - Ziyi Zhang
- Binhui Biopharmaceutical Co., Ltd., Wuhan, China
| | - Binlei Liu
- National ''111'' Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Provincial Cooperative Innovation Center of Industrial Fermentation, College of Bioengineering, Hubei University of Technology, Wuhan, China.
| | - Zhen Wu
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
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19
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Li Y, Chen L, Huang L, Li X, Huang Q, Tang L, Huang Z, Zhu L, Li T. A radiomics-based nomogram may be useful for predicting telomerase reverse transcriptase promoter mutation status in adult glioblastoma. Brain Behav 2024; 14:e3528. [PMID: 38798094 PMCID: PMC11128771 DOI: 10.1002/brb3.3528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 04/07/2024] [Accepted: 04/19/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND AND PURPOSE As a crucial diagnostic and prognostic biomarker, telomerase reverse transcriptase (TERT) promoter mutation holds immense significance for personalized treatment of patients with glioblastoma (GBM). In this study, we developed a radiomics nomogram to determine the TERT promoter mutation status and assessed its prognostic efficacy in GBM patients. METHODS The study retrospectively included 145 GBM patients. A comprehensive set of 3736 radiomics features was extracted from preoperative magnetic resonance imaging, including T2-weighted imaging, T1-weighted imaging (T1WI), contrast-enhanced T1WI, and fluid-attenuated inversion recovery. The construction of the radiomics model was based on integrating the radiomics signature (rad-score)with clinical features. Receiver-operating characteristic curve analysis was employed to evaluate the discriminative ability of the prediction model, and the risk score was used to stratify patient outcomes. RESULTS The least absolute shrinkage and selection operator classifier identified 10 robust features for constructing the prediction model, and the radiomics nomogram exhibited excellent performance in predicting TERT promoter mutation status, with area under the curve values of.906 (95% confidence interval [CI]:.850-.963) and.899 (95% CI:.708-.966) in the training and validation sets, respectively. The clinical utility of the radiomics nomogram is further supported by calibration curve and decision curve analyses. Additionally, the radiomics nomogram effectively stratified GBM patients with significantly different prognoses (HR = 1.767, p = .019). CONCLUSION The radiomics nomogram holds promise as a modality for evaluating TERT promoter mutations and prognostic outcomes in patients with GBM.
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Affiliation(s)
- Yao Li
- Department of NeurosurgeryLiuzhou Worker's HospitalGuangxiChina
| | - Ling Chen
- Department of RadiologyLiuzhou Worker's HospitalGuangxiChina
| | - Lizhao Huang
- Department of RadiologyLiuzhou Worker's HospitalGuangxiChina
| | - Xuedong Li
- Department of NeurosurgeryLiuzhou Worker's HospitalGuangxiChina
| | - Qidan Huang
- Department of NeurosurgeryLiuzhou Worker's HospitalGuangxiChina
| | - Lifang Tang
- Department of RadiologyLiuzhou Worker's HospitalGuangxiChina
| | - Zhiwei Huang
- Department of NeurosurgeryLiuzhou Worker's HospitalGuangxiChina
| | - Li Zhu
- Department of RadiologyLiuzhou Worker's HospitalGuangxiChina
| | - Tao Li
- Department of RadiologyLiuzhou Worker's HospitalGuangxiChina
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20
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Zanotto A, Glover RN, Zanotto T, Boele FW. Rehabilitation in People Living with Glioblastoma: A Narrative Review of the Literature. Cancers (Basel) 2024; 16:1699. [PMID: 38730651 PMCID: PMC11083409 DOI: 10.3390/cancers16091699] [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: 02/16/2024] [Revised: 03/21/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
Glioblastoma is the most common primary malignant brain tumor. While preliminary data point to the positive effects of rehabilitation for patients with glioblastoma, there are unique challenges for clinicians working with this population, including limited life expectancy and/or rapid neurological deterioration. The aim of this article is to review the literature on rehabilitation of adults with glioblastoma, including the feasibility of interventions, their effectiveness, as well as the current clinical practice. The reviewed literature suggests that rehabilitation has been found beneficial for improving the functional prognosis and quality of life of adults with glioblastoma and is desired by patients. We summarize the qualitative evidence regarding healthcare professionals' and patients' perspectives on the use of supportive care services. We conclude there is a need for the design of effective rehabilitation programs for patients with glioblastoma, as well as for the development of glioblastoma-specific clinical guidelines for rehabilitation practitioners.
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Affiliation(s)
- Anna Zanotto
- Department of Occupational Therapy Education, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA; (R.N.G.); (T.Z.)
| | - Rebecca N. Glover
- Department of Occupational Therapy Education, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA; (R.N.G.); (T.Z.)
| | - Tobia Zanotto
- Department of Occupational Therapy Education, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA; (R.N.G.); (T.Z.)
| | - Florien W. Boele
- Patient Centred Outcomes Research Group, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds LS2 9JT, UK
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds LS2 9JT, UK
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21
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Li G, Xiong Z, Li Y, Yan C, Cheng Y, Wang Y, Li J, Dai Z, Zhang D, Du W, Men C, Shi C. Hypoxic microenvironment-induced exosomes confer temozolomide resistance in glioma through transfer of pyruvate kinase M2. Discov Oncol 2024; 15:110. [PMID: 38598023 PMCID: PMC11006647 DOI: 10.1007/s12672-024-00963-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 03/30/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVE Glioma, a malignant primary brain tumor, is notorious for its high incidence rate. However, the clinical application of temozolomide (TMZ) as a treatment option for glioma is often limited due to resistance, which has been linked to hypoxic glioma cell-released exosomes. In light of this, the present study aimed to investigate the role of exosomal pyruvate kinase M2 (PKM2) in glioma cells that exhibit resistance to TMZ. METHODS Sensitive and TMZ-resistant glioma cells were subjected to either a normoxic or hypoxic environment, and the growth patterns and enzymatic activity of glycolysis enzymes were subsequently measured. From these cells, exosomal PKM2 was isolated and the subsequent effect on TMZ resistance was examined and characterized, with a particular focus on understanding the relevant mechanisms. Furthermore, the intercellular communication between hypoxic resistant cells and tumor-associated macrophages (TAMs) via exosomal PKM2 was also assessed. RESULTS The adverse impact of hypoxic microenvironments on TMZ resistance in glioma cells was identified and characterized. Among the three glycolysis enzymes that were examined, PKM2 was found to be a critical mediator in hypoxia-triggered TMZ resistance. Upregulation of PKM2 was found to exacerbate the hypoxia-mediated TMZ resistance. Exosomal PKM2 were identified and isolated from hypoxic TMZ-resistant glioma cells, and were found to be responsible for transmitting TMZ resistance to sensitive glioma cells. The exosomal PKM2 also contributed towards mitigating TMZ-induced apoptosis in sensitive glioma cells, while also causing intracellular ROS accumulation. Additionally, hypoxic resistant cells also released exosomal PKM2, which facilitated TMZ resistance in tumor-associated macrophages. CONCLUSION In the hypoxic microenvironment, glioma cells become resistant to TMZ due to the delivery of PKM2 by exosomes. Targeted modulation of exosomal PKM2 may be a promising strategy for overcoming TMZ resistance in glioma.
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Affiliation(s)
- Guofu Li
- Department of Neurosurgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Ziyu Xiong
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Ying Li
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Cong Yan
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yingying Cheng
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Yuwen Wang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Jingwei Li
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Zifeng Dai
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Dongdong Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Wenzhong Du
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Chunyang Men
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Changbin Shi
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
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22
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Martín-Noguerol T, Santos-Armentia E, Ramos A, Luna A. An update on susceptibility-weighted imaging in brain gliomas. Eur Radiol 2024:10.1007/s00330-024-10703-w. [PMID: 38581609 DOI: 10.1007/s00330-024-10703-w] [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: 11/18/2023] [Revised: 02/17/2024] [Accepted: 02/23/2024] [Indexed: 04/08/2024]
Abstract
Susceptibility-weighted imaging (SWI) has become a standard component of most brain MRI protocols. While traditionally used for detecting and characterising brain hemorrhages typically associated with stroke or trauma, SWI has also shown promising results in glioma assessment. Numerous studies have highlighted SWI's role in differentiating gliomas from other brain lesions, such as primary central nervous system lymphomas or metastases. Additionally, SWI aids radiologists in non-invasively grading gliomas and predicting their phenotypic profiles. Various researchers have suggested incorporating SWI as an adjunct sequence for predicting treatment response and for post-treatment monitoring. A significant focus of these studies is on the detection of intratumoural susceptibility signals (ITSSs) in gliomas, which are indicative of microhemorrhages and vessels within the tumour. The quantity, distribution, and characteristics of these ITSSs can provide radiologists with more precise information for evaluating and characterising gliomas. Furthermore, the potential benefits and added value of performing SWI after the administration of gadolinium-based contrast agents (GBCAs) have been explored. This review offers a comprehensive, educational, and practical overview of the potential applications and future directions of SWI in the context of glioma assessment. CLINICAL RELEVANCE STATEMENT: SWI has proven effective in evaluating gliomas, especially through assessing intratumoural susceptibility signal changes, and is becoming a promising, easily integrated tool in MRI protocols for both pre- and post-treatment assessments. KEY POINTS: • Susceptibility-weighted imaging is the most sensitive sequence for detecting blood and calcium inside brain lesions. • This sequence, acquired with and without gadolinium, helps with glioma diagnosis, characterisation, and grading through the detection of intratumoural susceptibility signals. • There are ongoing challenges that must be faced to clarify the role of susceptibility-weighted imaging for glioma assessment.
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Affiliation(s)
| | | | - Ana Ramos
- Department of Neuroradiology, University Hospital, 12 de Octubre, Madrid, Spain
| | - Antonio Luna
- MRI Unit, Radiology Department, HT Medica, Carmelo Torres 2, 23007, Jaén, Spain
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23
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Zhang HW, Zhang HB, Liu XL, Deng HZ, Zhang YZ, Tang XM, Lin F, Huang B. Clinical Assessment of Magnetic Resonance Spectroscopy and Diffusion-Weighted Imaging in Diffuse Glioma: Insights Into Histological Grading and IDH Classification. Can Assoc Radiol J 2024:8465371241238917. [PMID: 38577746 DOI: 10.1177/08465371241238917] [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: 04/06/2024] Open
Abstract
PURPOSE To assess the diagnostic utility of clinical magnetic resonance spectroscopy (MRS) and diffusion-weighted imaging (DWI) in distinguishing between histological grading and isocitrate dehydrogenase (IDH) classification in adult diffuse gliomas. METHODS A retrospective analysis was conducted on 247 patients diagnosed with adult diffuse glioma. Experienced radiologists evaluated DWI and MRS images. The Kruskal-Wallis test examined differences in DWI and MRS-related parameters across histological grades, while the Mann-Whitney U test assessed molecular classification. Receiver Operating Characteristic (ROC) curves evaluated parameter effectiveness. Survival curves, stratified by histological grade and IDH classification, were constructed using the Kaplan-Meier test. RESULTS The cohort comprised 141 males and 106 females, with ages ranging from 19 to 85 years. The Kruskal-Wallis test revealed significant differences in ADC mean, Cho/NAA, and Cho/Cr concerning glioma histological grade (P < .01). Subsequent application of Dunn's test showed significant differences in ADC mean among each histological grade (P < .01). Notably, Cho/NAA exhibited a marked distinction between grade 2 and grade 3/4 gliomas (P < .01). The Mann-Whitney U test indicated that only ADC mean showed statistical significance for IDH molecular classification (P < .01). ROC curves were constructed to demonstrate the effectiveness of the specified parameters. Survival curves were also delineated to portray survival outcomes categorized by histological grade and IDH classification. Conclusions: Clinical MRS demonstrates efficacy in glioma histological grading but faces challenges in IDH classification. Clinical DWI's ADC mean parameter shows significant distinctions in both histological grade and IDH classification.
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Affiliation(s)
- Han-Wen Zhang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hong-Bo Zhang
- Department of Radiology, The Seventh Affiliated Hospital Sun Yat-sen University, Shenzhen, China
| | - Xiao-Lei Liu
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hua-Zhen Deng
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Yu-Zhe Zhang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xu-Mei Tang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Fan Lin
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Biao Huang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
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24
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Sun W, Xu D, Li H, Li S, Bao Q, Song X, Topgaard D, Xu H. Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI. MAGMA (NEW YORK, N.Y.) 2024:10.1007/s10334-024-01154-x. [PMID: 38578520 DOI: 10.1007/s10334-024-01154-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 04/06/2024]
Abstract
OBJECTIVE To assess the performance of hybrid multi-dimensional magnetic resonance imaging (HM-MRI) in quantifying hematoxylin and eosin (H&E) staining results, grading and predicting isocitrate dehydrogenase (IDH) mutation status of gliomas. MATERIALS AND METHODS Included were 71 glioma patients (mean age, 50.17 ± 13.38 years; 35 men). HM-MRI images were collected at five different echo times (80-200 ms) with seven b-values (0-3000 s/mm2). A modified three-compartment model with very-slow, slow and fast diffusion components was applied to calculate HM-MRI metrics, including fractions, diffusion coefficients and T2 values of each component. Pearson correlation analysis was performed between HM-MRI derived fractions and H&E staining derived percentages. HM-MRI metrics were compared between high-grade and low-grade gliomas, and between IDH-wild and IDH-mutant gliomas. Using receiver operational characteristic (ROC) analysis, the diagnostic performance of HM-MRI in grading and genotyping was compared with mono-exponential models. RESULTS HM-MRI metrics FDvery-slow and FDslow demonstrated a significant correlation with the H&E staining results (p < .05). Besides, FDvery-slow showed the highest area under ROC curve (AUC = 0.854) for grading, while Dslow showed the highest AUC (0.845) for genotyping. Furthermore, a combination of HM-MRI metrics FDvery-slow and T2Dslow improved the diagnostic performance for grading (AUC = 0.876). DISCUSSION HM-MRI can aid in non-invasive diagnosis of gliomas.
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Affiliation(s)
- Wenbo Sun
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China
| | - Dan Xu
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China
| | - Huan Li
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China
| | - Sirui Li
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China
| | - Qingjia Bao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, Hubei, People's Republic of China
| | - Xiaopeng Song
- Central Research Institute, United-Imaging Healthcare, Shanghai, China
| | - Daniel Topgaard
- Department of Chemistry, Lund University, P.O.B. 124, 221 00, Lund, Sweden.
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, People's Republic of China.
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25
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Chen X, Peng YN, Cheng FL, Cao D, Tao AY, Chen J. Survival Analysis of Patients Undergoing Intraoperative Contrast-enhanced Ultrasound in the Surgical Treatment of Malignant Glioma. Curr Med Sci 2024; 44:399-405. [PMID: 38632142 DOI: 10.1007/s11596-024-2840-z] [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: 09/03/2023] [Accepted: 01/02/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVE Complete resection of malignant gliomas is often challenging. Our previous study indicated that intraoperative contrast-enhanced ultrasound (ICEUS) could aid in the detection of residual tumor remnants and the total removal of brain lesions. This study aimed to investigate the survival rates of patients undergoing resection with or without the use of ICEUS and to assess the impact of ICEUS on the prognosis of patients with malignant glioma. METHODS A total of 64 patients diagnosed with malignant glioma (WHO grade HI and IV) who underwent surgery between 2012 and 2018 were included. Among them, 29 patients received ICEUS. The effects of ICEUS on overall survival (OS) and progression-free survival (PFS) of patients were evaluated. A quantitative analysis was performed to compare ICEUS parameters between gliomas and the surrounding tissues. RESULTS The ICEUS group showed better survival rates both in OS and PFS than the control group. The univariate analysis revealed that age, pathology and ICEUS were significant prognostic factors for PFS, with only age being a significant prognostic factor for OS. In multivariate analysis, age and ICEUS were significant prognostic factors for both OS and PFS. The quantitative analysis showed that the intensity and transit time of microbubbles reaching the tumors were significantly different from those of microbubbles reaching the surrounding tissue. CONCLUSION ICEUS facilitates the identification of residual tumors. Age and ICEUS are prognostic factors for malignant glioma surgery, and use of ICEUS offers a better prognosis for patients with malignant glioma.
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Affiliation(s)
- Xu Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Ya-Ni Peng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang-Ling Cheng
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dan Cao
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - An-Yu Tao
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jian Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Valerius AR, Webb MJ, Hammad N, Sener U, Malani R. Cerebrospinal Fluid Liquid Biopsies in the Evaluation of Adult Gliomas. Curr Oncol Rep 2024; 26:377-390. [PMID: 38488990 DOI: 10.1007/s11912-024-01517-6] [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] [Accepted: 03/05/2024] [Indexed: 03/17/2024]
Abstract
PURPOSE OF REVIEW This review aims to discuss recent research regarding the biomolecules explored in liquid biopsies and their potential clinical uses for adult-type diffuse gliomas. RECENT FINDINGS Evaluation of tumor biomolecules via cerebrospinal fluid (CSF) is an emerging technology in neuro-oncology. Studies to date have already identified various circulating tumor DNA, extracellular vesicle, micro-messenger RNA and protein biomarkers of interest. These biomarkers show potential to assist in multiple avenues of central nervous system (CNS) tumor evaluation, including tumor differentiation and diagnosis, treatment selection, response assessment, detection of tumor progression, and prognosis. In addition, CSF liquid biopsies have the potential to better characterize tumor heterogeneity compared to conventional tissue collection and CNS imaging. Current imaging modalities are not sufficient to establish a definitive glioma diagnosis and repeated tissue sampling via conventional biopsy is risky, therefore, there is a great need to improve non-invasive and minimally invasive sampling methods. CSF liquid biopsies represent a promising, minimally invasive adjunct to current approaches which can provide diagnostic and prognostic information as well as aid in response assessment.
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Affiliation(s)
| | - Mason J Webb
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Nouran Hammad
- Jordan University of Science and Technology School of Medicine, Irbid, Jordan
| | - Ugur Sener
- Department of Neurology, Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Rachna Malani
- University of UT - Huntsman Cancer Institute (Department of Neurosurgery), Salt Lake City, UT, USA
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Kardian AS, Mack S. The Intersection of Epigenetic Alterations and Developmental State in Pediatric Ependymomas. Dev Neurosci 2024:000537694. [PMID: 38527429 DOI: 10.1159/000537694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 02/03/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Ependymomas are the third most common brain cancer in children and have no targeted therapies. They are divided into at least 9 major subtypes based on molecular characteristics and major drivers and have few genetic mutations compared to the adult form of this disease, leading to investigation of other mechanisms. SUMMARY Epigenetic alterations such as transcriptional programs activated by oncofusion proteins and alterations in histone modifications play an important role in development of this disease. Evidence suggests these alterations interact with the developmental epigenetic programs in the cell of origin to initiate neoplastic transformation and later disease progression, perhaps by keeping a portion of tumor cells in a developmental, proliferative state. KEY MESSAGES To better understand this disease, research on its developmental origins and associated epigenetic states needs to be further pursued. This could lead to better treatments, which are currently lacking due to the difficult-to-drug nature of known drivers such as fusion proteins. Epigenetic and developmental states characteristic of these tumors may not just be potential therapeutic targets, but used as a tool to find new avenues of treatment.
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28
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Joshi R, Sharma A, Kulshreshtha R. Noncoding RNA landscape and their emerging roles as biomarkers and therapeutic targets in meningioma. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200782. [PMID: 38596289 PMCID: PMC10951709 DOI: 10.1016/j.omton.2024.200782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Meningiomas are among the most prevalent primary CNS tumors in adults, accounting for nearly 38% of all brain neoplasms. The World Health Organization (WHO) grade assigned to meningiomas guides medical care in patients and is primarily based on tumor histology and malignancy potential. Although often considered benign, meningiomas with complicated histology, limited accessibility for surgical resection, and/or higher malignancy potential (WHO grade 2 and WHO grade 3) are harder to combat, resulting in significant morbidity. With limited treatment options and no systemic therapies, it is imperative to understand meningioma tumorigenesis at the molecular level and identify novel therapeutic targets. The last decade witnessed considerable progress in understanding the noncoding RNA landscape of meningioma, with microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) emerging as molecular entities of interest. This review aims to highlight the commonly dysregulated miRNAs and lncRNAs in meningioma and their correlation with meningioma progression, malignancy, recurrence, and radioresistance. The role of "key" miRNAs as biomarkers and their therapeutic potential has also been reviewed in detail. Furthermore, current and emerging therapeutic modalities for meningioma have been discussed, with emphasis on the need to identify and subsequently employ clinically relevant miRNAs and lncRNAs as novel therapeutic targets and biomarkers.
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Affiliation(s)
- Ritanksha Joshi
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Anuja Sharma
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Ritu Kulshreshtha
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
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29
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Puranik AD, Dev ID, Rangarajan V, Kulkarni S, Shetty N, Gala K, Sahu A, Bhattacharya K, Dasgupta A, Chatterjee A, Gupta T, Sridhar E, Sahay A, Shetty P, Singh V, Moiyadi A, Menon N, Purandare NC, Agrawal A, Shah S, Choudhury S, Ghosh S, Jha AK. PRRT with Lu-177 DOTATATE in Treatment-Refractory Progressive Meningioma: Initial Experience from a Tertiary-Care Neuro-Oncology Center. Neurol India 2024; 72:278-284. [PMID: 38691470 DOI: 10.4103/ni.neurol-india-d-23-00252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 11/15/2023] [Indexed: 05/03/2024]
Abstract
PURPOSE Refractory and/or recurrent meningiomas have poor outcomes, and the treatment options are limited. Peptide receptor radionuclide therapy (PRRT) has been used in this setting with promising results. We have documented our experience of using intravenous (IV) and intra-arterial (IA) approaches of Lu-177 DOTATATE PRRT. METHODS Eight patients with relapsed/refractory high-grade meningioma received PRRT with Lu-177 DOTATATE by IV and an IA route. At least 2 cycles were administered. Time to progression was calculated from the first PRRT session to progression. The response was assessed on MRI using RANO criteria, and visual analysis of uptake was done on Ga-68 DOTANOC PET/CT. Post-therapy dosimetry calculations for estimating the absorbed dose were performed. RESULTS Median time to progression was 8.9 months. One patient showed disease progression, whereas seven patients showed stable disease at 4 weeks following 2 cycles of PRRT. Dosimetric analysis showed higher dose and retention time by IA approach. No significant peri-procedural or PRRT associated toxicity was seen. CONCLUSION PRRT is a safe and effective therapeutic option for relapsed/refractory meningioma. The IA approach yields better dose delivery and should be routinely practised.
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Affiliation(s)
- Ameya D Puranik
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Indraja D Dev
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Venkatesh Rangarajan
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suyash Kulkarni
- Department of Radiodiagnosis, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Nitin Shetty
- Department of Radiodiagnosis, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kunal Gala
- Department of Radiodiagnosis, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Arpita Sahu
- Department of Radiodiagnosis, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kajari Bhattacharya
- Department of Radiodiagnosis, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Archya Dasgupta
- Department of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Abhishek Chatterjee
- Department of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Epari Sridhar
- Department of Pathology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Ayushi Sahay
- Department of Pathology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Prakash Shetty
- Department of Neurosurgery, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Vikas Singh
- Department of Neurosurgery, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Aliasgar Moiyadi
- Department of Neurosurgery, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Nandini Menon
- Department of Medical Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Nilendu C Purandare
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Archi Agrawal
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sneha Shah
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sayak Choudhury
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suchismita Ghosh
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Ashish Kumar Jha
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
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Maalim AA, Wang Z, Huang Y, Lei T. RACK1 Promotes Meningioma Progression by Activation of NF-κB Pathway via Preventing CSNK2B from Ubiquitination Degradation. Cancers (Basel) 2024; 16:767. [PMID: 38398158 PMCID: PMC10886518 DOI: 10.3390/cancers16040767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/05/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Higher-grade meningiomas (WHO grade II and III) are characterized by aggressive invasiveness and high postoperative recurrence rates. The prognosis remains inadequate even with adjuvant radiotherapy and currently there is no definitive pharmacological treatment strategy and target for malignant meningiomas. This study aims to unveil the mechanisms driving the malignant progression of meningiomas and to identify potential inhibitory targets, with significant clinical implications. Implementing techniques such as protein immunoprecipitation, mass spectrometry, RNA interference, and transcriptome sequencing, we investigated the malignancy mechanisms in meningioma cell lines IOMM-LEE and CH157-MN. Additionally, in vivo experiments were carried out on nude mice. We discovered a positive correlation between meningioma malignancy and the levels of the receptor for activated C kinase 1 (RACK1), which interacts with CSNK2B, the β subunit of casein kinase 2 (CK2), inhibiting its ubiquitination and subsequent degradation. This inhibition allows CK2 to activate the NF-κb pathway, which increases the transcription of CDK4 and cyclin D3, resulting in the transition of the cell cycle into the G2/M phase. The RACK1 inhibitor, harringtonolide (HA), significantly suppressed the malignant tendencies of meningioma cells. Our study suggests that RACK1 may play a role in the malignant progression of meningiomas, and therefore, targeting RACK1 could emerge as an effective strategy for reducing the malignancy of these tumors.
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Affiliation(s)
- Ali Abdi Maalim
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China; (A.A.M.); (Z.W.)
- Sino-German Neuro-Oncology Molecular Laboratory, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zihan Wang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China; (A.A.M.); (Z.W.)
- Sino-German Neuro-Oncology Molecular Laboratory, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yimin Huang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China; (A.A.M.); (Z.W.)
- Sino-German Neuro-Oncology Molecular Laboratory, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ting Lei
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China; (A.A.M.); (Z.W.)
- Sino-German Neuro-Oncology Molecular Laboratory, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
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Wei R, Lu S, Lai S, Liang F, Zhang W, Jiang X, Zhen X, Yang R. A subregion-based RadioFusionOmics model discriminates between grade 4 astrocytoma and glioblastoma on multisequence MRI. J Cancer Res Clin Oncol 2024; 150:73. [PMID: 38305926 PMCID: PMC10837235 DOI: 10.1007/s00432-023-05603-3] [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: 09/17/2023] [Accepted: 12/26/2023] [Indexed: 02/03/2024]
Abstract
PURPOSE To explore a subregion-based RadioFusionOmics (RFO) model for discrimination between adult-type grade 4 astrocytoma and glioblastoma according to the 2021 WHO CNS5 classification. METHODS 329 patients (40 grade 4 astrocytomas and 289 glioblastomas) with histologic diagnosis was retrospectively collected from our local institution and The Cancer Imaging Archive (TCIA). The volumes of interests (VOIs) were obtained from four multiparametric MRI sequences (T1WI, T1WI + C, T2WI, T2-FLAIR) using (1) manual segmentation of the non-enhanced tumor (nET), enhanced tumor (ET), and peritumoral edema (pTE), and (2) K-means clustering of four habitats (H1: high T1WI + C, high T2-FLAIR; (2) H2: high T1WI + C, low T2-FLAIR; (3) H3: low T1WI + C, high T2-FLAIR; and (4) H4: low T1WI + C, low T2-FLAIR). The optimal VOI and best MRI sequence combination were determined. The performance of the RFO model was evaluated using the area under the precision-recall curve (AUPRC) and the best signatures were identified. RESULTS The two best VOIs were manual VOI3 (putative peritumoral edema) and clustering H34 (low T1WI + C, high T2-FLAIR (H3) combined with low T1WI + C and low T2-FLAIR (H4)). Features fused from four MRI sequences ([Formula: see text]) outperformed those from either a single sequence or other sequence combinations. The RFO model that was trained using fused features [Formula: see text] achieved the AUPRC of 0.972 (VOI3) and 0.976 (H34) in the primary cohort (p = 0.905), and 0.971 (VOI3) and 0.974 (H34) in the testing cohort (p = 0.402). CONCLUSION The performance of subregions defined by clustering was comparable to that of subregions that were manually defined. Fusion of features from the edematous subregions of multiple MRI sequences by the RFO model resulted in differentiation between grade 4 astrocytoma and glioblastoma.
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Affiliation(s)
- Ruili Wei
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, GuangZhou, China
| | - Songlin Lu
- School of Biomedical Engineering, Southern Medical University, GuangZhou, China
| | - Shengsheng Lai
- School of Medical Equipment, Guangdong Food and Drug Vocational College, Guangzhou, China
| | - Fangrong Liang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, GuangZhou, China
| | - Wanli Zhang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, GuangZhou, China
| | - Xinqing Jiang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, GuangZhou, China
| | - Xin Zhen
- School of Biomedical Engineering, Southern Medical University, GuangZhou, China.
| | - Ruimeng Yang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, GuangZhou, China.
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Tobochnik S, Dorotan MKC, Ghosh HS, Lapinskas E, Vogelzang J, Reardon DA, Ligon KL, Bi WL, Smirnakis SM, Lee JW. Glioma genetic profiles associated with electrophysiologic hyperexcitability. Neuro Oncol 2024; 26:323-334. [PMID: 37713468 PMCID: PMC10836775 DOI: 10.1093/neuonc/noad176] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND Distinct genetic alterations determine glioma aggressiveness, however, the diversity of somatic mutations contributing to peritumoral hyperexcitability and seizures over the course of the disease is uncertain. This study aimed to identify tumor somatic mutation profiles associated with clinically significant hyperexcitability. METHODS A single center cohort of adults with WHO grades 1-4 glioma and targeted exome sequencing (n = 1716) was analyzed and cross-referenced with a validated EEG database to identify the subset of individuals who underwent continuous EEG monitoring (n = 206). Hyperexcitability was defined by the presence of lateralized periodic discharges and/or electrographic seizures. Cross-validated discriminant analysis models trained exclusively on recurrent somatic mutations were used to identify variants associated with hyperexcitability. RESULTS The distribution of WHO grades and tumor mutational burdens were similar between patients with and without hyperexcitability. Discriminant analysis models classified the presence or absence of EEG hyperexcitability with an overall accuracy of 70.9%, regardless of IDH1 R132H inclusion. Predictive variants included nonsense mutations in ATRX and TP53, indel mutations in RBBP8 and CREBBP, and nonsynonymous missense mutations with predicted damaging consequences in EGFR, KRAS, PIK3CA, TP53, and USP28. This profile improved estimates of hyperexcitability in a multivariate analysis controlling for age, sex, tumor location, integrated pathologic diagnosis, recurrence status, and preoperative epilepsy. Predicted somatic mutation variants were over-represented in patients with hyperexcitability compared to individuals without hyperexcitability and those who did not undergo continuous EEG. CONCLUSION These findings implicate diverse glioma somatic mutations in cancer genes associated with peritumoral hyperexcitability. Tumor genetic profiling may facilitate glioma-related epilepsy prognostication and management.
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Affiliation(s)
- Steven Tobochnik
- Department of Neurology, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Hia S Ghosh
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Emily Lapinskas
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jayne Vogelzang
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - David A Reardon
- Department of Medical Oncology, Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Keith L Ligon
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stelios M Smirnakis
- Department of Neurology, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jong Woo Lee
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Schaumann A, Hammar C, Alsleben S, Schulz M, Grün A, Lankes E, Tietze A, Koch A, Hernáiz Driever P, Thomale UW. Neurosurgical treatment of pediatric brain tumors - results from a single center multidisciplinary setup. Childs Nerv Syst 2024; 40:381-393. [PMID: 37730915 PMCID: PMC10837233 DOI: 10.1007/s00381-023-06123-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/09/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE The challenge of pediatric brain tumor surgery is given due to a relative low prevalence but high heterogeneity in age, localization, and pathology. Improvements of long-term overall survival rates were achieved during the past decades stressing the importance of a multidisciplinary decision process guided by a national treatment protocol. We reviewed the entire spectrum of pediatric brain tumor surgeries from the perspective of an interdisciplinary pediatric neuro-oncology center in Germany. METHODS Every patient who underwent brain tumor surgery from January 2010 to June 2017 in our Pediatric Neurosurgery department was retrospectively included and evaluated regarding the course of treatment. Perioperative data such as tumor localization, timing of surgery, extent of resection, neuropathological diagnosis, transfusion rates, oncologic and radiation therapy, and neurological follow-up including morbidity and mortality were evaluated. RESULTS Two hundred ninety-three pediatric brain tumor patients were applicable (age: 8.28 ± 5.62 years, 1.22:1.0 m:f). A total of 531 tumor surgical interventions was performed within these patients (457 tumor resections, 74 tumor biopsies; mean interventions per patient 1.8 ± 1.2). Due to a critical neurologic status, 32 operations (6%) were performed on the day of admission. In 65.2% of all cases, tumor were approached supratentorially. Most frequent diagnoses of the cases were glial tumors (47.8%) and embryonal tumors (17.6%). Preoperative planned extent of resection was achieved in 92.7%. Pre- and postoperative neurologic deficits resolved completely in 30.7%, whereas symptom regressed in 28.6% of surgical interventions. New postoperative neurologic deficit was observed in 10.7%, which resolved or improved in 80% of these cases during 30 days. The mortality rate was 1%. CONCLUSION We outlined the center perspective of a specialized pediatric neuro-oncological center describing the heterogeneous distribution of cases regarding age-related prevalence, tumor localization, and biology, which requires a high multidisciplinary expertise. The study contributes to define challenges in treating pediatric brain tumors and to develop quality indicators for pediatric neuro-oncological surgery. We assume that an adequate volume load of patients within a interdisciplinary infrastructure is warranted to aim for effective treatment and decent quality of life for the majority of long-term surviving pediatric tumor patients.
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Affiliation(s)
- A Schaumann
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Pediatric Neurosurgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - C Hammar
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Pediatric Neurosurgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - S Alsleben
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Pediatric Neurosurgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - M Schulz
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Pediatric Neurosurgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - A Grün
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department for Radiation Oncology and Radiotherapy, Augustenburger Platz 1, 13353, Berlin, Germany
| | - E Lankes
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Endocrinology and Diabetes, Augustenburger Platz 1, 13353, Berlin, Germany
| | - A Tietze
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Neuroradiology, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Arend Koch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Neuropathology, Berlin, Germany
| | - P Hernáiz Driever
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Hematology and Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
| | - U-W Thomale
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Pediatric Neurosurgery, Augustenburger Platz 1, 13353, Berlin, Germany.
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Kurokawa R, Hagiwara A, Kurokawa M, Ellingson BM, Baba A, Moritani T. Diffusion histogram profiles predict molecular features of grade 4 in histologically lower-grade adult diffuse gliomas following WHO classification 2021. Eur Radiol 2024; 34:1367-1375. [PMID: 37581661 PMCID: PMC10853353 DOI: 10.1007/s00330-023-10071-x] [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: 03/09/2023] [Revised: 06/30/2023] [Accepted: 07/06/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVES In the latest World Health Organization classification 2021, grade 4 adult diffuse gliomas can be diagnosed with several molecular features even without histological evidence of necrosis or microvascular proliferation. We aimed to explore whole tumor histogram-derived apparent diffusion coefficient (ADC) histogram profiles for differentiating between the presence (Mol-4) and absence (Mol-2/3) of grade 4 molecular features in histologically lower-grade gliomas. METHODS Between June 2019 and October 2022, 184 adult patients with diffuse gliomas underwent MRI. After excluding 121 patients, 18 (median age, 64.5 [range, 37-84 years]) Mol-4 and 45 (median 40 [range, 18-73] years) Mol-2/3 patients with histologically lower-grade gliomas were enrolled. Whole tumor volume-of-interest-derived ADC histogram profiles were calculated and compared between the two groups. Stepwise logistic regression analysis with Akaike's information criterion using the ADC histogram profiles with p values < 0.01 and age at diagnosis was used to identify independent variables for predicting the Mol-4 group. RESULTS The 90th percentile (p < 0.001), median (p < 0.001), mean (p < 0.001), 10th percentile (p = 0.014), and entropy (p < 0.001) of normalized ADC were lower, and kurtosis (p < 0.001) and skewness (p = 0.046) were higher in the Mol-4 group than in the Mol-2/3 group. Multivariate logistic regression analysis revealed that the entropy of normalized ADC and age at diagnosis were independent predictive parameters for the Mol-4 group with an area under the curve of 0.92. CONCLUSION ADC histogram profiles may be promising preoperative imaging biomarkers to predict molecular grade 4 among histologically lower-grade adult diffuse gliomas. CLINICAL RELEVANCE STATEMENT This study highlighted the diagnostic usefulness of ADC histogram profiles to differentiate histologically lower grade adult diffuse gliomas with the presence of molecular grade 4 features and those without. KEY POINTS • ADC histogram profiles to predict molecular CNS WHO grade 4 status among histologically lower-grade adult diffuse gliomas were evaluated. • Entropy of ADC and age were independent predictive parameters for molecular grade 4 status. • ADC histogram analysis is useful for predicting molecular grade 4 among histologically lower-grade gliomas.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA.
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Akifumi Hagiwara
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Radiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA
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Yang L, Huang Z, Deng Y, Zhang X, Lv Z, Huang H, Sun Q, Liu H, Liang H, He B, Hu F. Characterization of the m6A/m1A/m5C/m7G-related regulators on the prognosis and immune microenvironment of glioma by integrated analysis of scRNA-seq and bulk RNA-seq data. J Gene Med 2024; 26:e3666. [PMID: 38391150 DOI: 10.1002/jgm.3666] [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: 07/27/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Proliferation, metabolism, tumor occurrence and development in gliomas are greatly influenced by RNA modifications. However, no research has integrated the four RNA methylation regulators of m6A, m1A, m5C and m7G in gliomas to analyze their relationship with glioma prognosis and intratumoral heterogeneity. METHODS Based on three in-house single-cell RNA-sequencing (scRNA-seq) data, the glioma heterogeneity and characteristics of m6A/m1A/m5C/m7G-related regulators were elucidated. Based on publicly available bulk RNA-sequencing (RNA-seq) data, a risk-score system for predicting the overall survival (OS) for gliomas was established by three machine learning methods and multivariate Cox regression analysis, and validated in an independent cohort. RESULTS Seven cell types were identified in gliomas by three scRNA-seq data, and 22 m6A/m1A/m5C/m7G-related regulators among the marker genes of different cell subtypes were discovered. Three m6A/m1A/m5C/m7G-related regulators were selected to construct prognostic risk-score model, including EIFA, NSUN6 and TET1. The high-risk patients showed higher immune checkpoint expression, higher tumor microenvironment scores, as well as higher tumor mutation burden and poorer prognosis compared with low-risk patients. Additionally, the area under the curve values of the risk score and nomogram were 0.833 and 0.922 for 3 year survival and 0.759 and 0.885 for 5 year survival for gliomas. EIF3A was significantly highly expressed in glioma tissues in our in-house RNA-sequencing data (p < 0.05). CONCLUSION These findings may contribute to further understanding of the role of m6A/m1A/m5C/m7G-related regulators in gliomas, and provide novel and reliable biomarkers for gliomas prognosis and treatment.
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Affiliation(s)
- Longkun Yang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China
- Department of Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Zhicong Huang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China
- Department of Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Ying Deng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China
- Department of Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Xing Zhang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China
| | - Zhonghua Lv
- Department of Neurosurgery, The Tumor hospital Affiliated to Harbin Medical University, Harbin, Heilongjiang, China
| | - Hao Huang
- Department of Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Qian Sun
- Department of Neurosurgery, The Tumor hospital Affiliated to Harbin Medical University, Harbin, Heilongjiang, China
| | - Hui Liu
- Department of Neurosurgery, The Tumor hospital Affiliated to Harbin Medical University, Harbin, Heilongjiang, China
| | - Hongsheng Liang
- Department of Neurosurgery, The First Hospital Affiliated to Harbin Medical University, Harbin, Heilongjiang, China
| | - Baochang He
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Fulan Hu
- Department of Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, China
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Biricioiu MR, Sarbu M, Ica R, Vukelić Ž, Kalanj-Bognar S, Zamfir AD. Advances in Mass Spectrometry of Gangliosides Expressed in Brain Cancers. Int J Mol Sci 2024; 25:1335. [PMID: 38279335 PMCID: PMC10816113 DOI: 10.3390/ijms25021335] [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: 12/05/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024] Open
Abstract
Gangliosides are highly abundant in the human brain where they are involved in major biological events. In brain cancers, alterations of ganglioside pattern occur, some of which being correlated with neoplastic transformation, while others with tumor proliferation. Of all techniques, mass spectrometry (MS) has proven to be one of the most effective in gangliosidomics, due to its ability to characterize heterogeneous mixtures and discover species with biomarker value. This review highlights the most significant achievements of MS in the analysis of gangliosides in human brain cancers. The first part presents the latest state of MS development in the discovery of ganglioside markers in primary brain tumors, with a particular emphasis on the ion mobility separation (IMS) MS and its contribution to the elucidation of the gangliosidome associated with aggressive tumors. The second part is focused on MS of gangliosides in brain metastases, highlighting the ability of matrix-assisted laser desorption/ionization (MALDI)-MS, microfluidics-MS and tandem MS to decipher and structurally characterize species involved in the metastatic process. In the end, several conclusions and perspectives are presented, among which the need for development of reliable software and a user-friendly structural database as a search platform in brain tumor diagnostics.
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Affiliation(s)
- Maria Roxana Biricioiu
- National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania; (M.R.B.); (M.S.); (R.I.)
- Faculty of Physics, West University of Timisoara, 300223 Timisoara, Romania
| | - Mirela Sarbu
- National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania; (M.R.B.); (M.S.); (R.I.)
| | - Raluca Ica
- National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania; (M.R.B.); (M.S.); (R.I.)
| | - Željka Vukelić
- Department of Chemistry and Biochemistry, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia;
| | - Svjetlana Kalanj-Bognar
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia;
| | - Alina D. Zamfir
- National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania; (M.R.B.); (M.S.); (R.I.)
- Department of Technical and Natural Sciences, “Aurel Vlaicu” University of Arad, 310330 Arad, Romania
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Mori JO, Keegan J, Flynn RL, Heaphy CM. Alternative lengthening of telomeres: mechanism and the pathogenesis of cancer. J Clin Pathol 2024; 77:82-86. [PMID: 37890990 DOI: 10.1136/jcp-2023-209005] [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: 08/21/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023]
Abstract
Telomere maintenance and elongation allows cells to gain replicative immortality and evade cellular senescence during cancer development. While most cancers use telomerase to maintain telomere lengths, a subset of cancers engage the alternative lengthening of telomeres (ALT) pathway for telomere maintenance. ALT is present in 5%-10% of all cancers, although the prevalence is dramatically higher in certain cancer types, including complex karyotype sarcomas, isocitrate dehydrogenase-mutant astrocytoma (WHO grade II-IV), pancreatic neuroendocrine tumours, neuroblastoma and chromophobe hepatocellular carcinomas. ALT is maintained through a homology-directed DNA repair mechanism. Resembling break-induced replication, this aberrant process results in dramatic cell-to-cell telomere length heterogeneity, widespread chromosomal instability and chronic replication stress. Additionally, ALT-positive cancers frequently harbour inactivating mutations in either chromatin remodelling proteins (ATRX, DAXX and H3F3A) or DNA damage repair factors (SMARCAL1 and SLX4IP). ALT can readily be detected in tissue by assessing the presence of unique molecular characteristics, such as large ultrabright nuclear telomeric foci or partially single-stranded telomeric DNA circles (C-circles). Importantly, ALT has been validated as a robust diagnostic and prognostic biomarker for certain cancer types and may even be exploited as a therapeutic target via small molecular inhibitors and/or synthetic lethality approaches.
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Affiliation(s)
- Joakin O Mori
- Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Joshua Keegan
- Pharmacology, Physiology & Biophysics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Rachel L Flynn
- Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Pharmacology, Physiology & Biophysics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Christopher M Heaphy
- Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Pathology and Laboratory Medicine, Boston Medical Center, Boston, Massachusetts, USA
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Perez-Roca E, Negreiros T, Casavilca-Zambrano S, Ojeda-Medina L, Díaz-Coronado R. Prognostic factors of pediatric ependymomas at a National Cancer Reference Center in Peru. Front Oncol 2024; 13:1331790. [PMID: 38298447 PMCID: PMC10828566 DOI: 10.3389/fonc.2023.1331790] [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: 11/01/2023] [Accepted: 12/13/2023] [Indexed: 02/02/2024] Open
Abstract
Background Ependymomas are central nervous system tumors that significantly impact the quality of life and carry a high mortality rate. Both the disease itself and its treatment cause significant morbidity. At a national level in Peru, there are no reports on clinical characteristics of the disease. Methods This retrospective study captured patient aged less than 19 years with a diagnosis of ependymoma from 2012 to 2022 at a tertiary center in Lima. Results 85 patients were included with a median follow-up time was 51.6 months. The 5-year overall survival and progression-free survival were 55.89% (95% CI: 44.28 - 65.99) and 37.71% (95% CI: 26,21-49,16) respectively. The main prognostic factors identified were completed treatment (p=0.019), adjuvant chemotherapy (p=0.048), presence of metastasis (p=0.012), and disease recurrence (p=0.02). Conclusions The survival of patients with ependymoma is below that reported in high-income countries. Incomplete treatment and treatment abandonment are factors that negatively impact the prognosis. Further studies are needed to identify barriers in the referral and treatment process for patients with ependymoma.
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Affiliation(s)
| | - Tatiana Negreiros
- Radiotherapy Department, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | | | - Luis Ojeda-Medina
- Neurosurgery Department, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | - Rosdali Díaz-Coronado
- School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
- Pediatric Oncology Department, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
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Cheng X, Liu Z, Chang H, Liang W, Li P, Gao Y. WD repeat domain 76 predicts poor prognosis in lower grade glioma and provides an original target for immunotherapy. Eur J Med Res 2024; 29:13. [PMID: 38173030 PMCID: PMC10763342 DOI: 10.1186/s40001-023-01605-6] [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: 10/15/2022] [Accepted: 12/19/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The WD40 repeat (WDR) domain provides scaffolds for numerous protein-protein interactions in multiple biological processes. WDR domain 76 (WDR76) has complex functionality owing to its diversified interactions; however, its mechanism in LGG has not yet been reported. METHODS Transcriptomic data from public databases were multifariously analyzed to explore the role of WDR76 in LGG pathology and tumor immunity. Laboratory experiments were conducted to confirm these results. RESULTS The results first confirmed that high expression of WDR76 in LGG was not only positively associated with clinical and molecular features of malignant LGG, but also served as an independent prognostic factor that predicted shorter survival in patients with LGG. Furthermore, high expression of WDR76 resulted in the upregulation of oncogenes, such as PRC1 and NUSAP1, and the activation of oncogenic mechanisms, such as the cell cycle and Notch signaling pathway. Finally, WDR76 was shown to be involved in LGG tumor immunity by promoting the infiltration of immune cells, such as M2 macrophages, and the expression of immune checkpoints, such as PDCD1 (encoding PD-1). CONCLUSIONS This study shows for the first time the diagnostic and prognostic value of WDR76 in LGG and provides a novel personalized biomarker for future targeted therapy and immunotherapy. Thus, WDR76 may significantly improve the prognosis of patients with LGG.
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Affiliation(s)
- Xingbo Cheng
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Zhendong Liu
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Haigang Chang
- Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, 453100, Henan, China
| | - Wenjia Liang
- People's Hospital of Henan University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Pengxu Li
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Yanzheng Gao
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China.
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Silva FFVE, Di Domenico M, Caponio VCA, Pérez-Sayáns M, Camolesi GCV, Rojo-Álvarez LI, Ballini A, García-García A, Padín-Iruegas ME, Suaréz-Peñaranda JM. Pyrosequencing Analysis of O-6-Methylguanine-DNA Methyltransferase Methylation at Different Cut-Offs of Positivity Associated with Treatment Response and Disease-Specific Survival in Isocitrate Dehydrogenase-Wildtype Grade 4 Glioblastoma. Int J Mol Sci 2024; 25:612. [PMID: 38203783 PMCID: PMC10779484 DOI: 10.3390/ijms25010612] [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: 12/06/2023] [Revised: 12/29/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024] Open
Abstract
The O-6-methylguanine-DNA methyltransferase (MGMT) gene is a critical guardian of genomic integrity. MGMT methylation in diffuse gliomas serves as an important determinant of patients' prognostic outcomes, more specifically in glioblastomas (GBMs). In GBMs, the absence of MGMT methylation, known as MGMT promoter unmethylation, often translates into a more challenging clinical scenario, tending to present resistance to chemotherapy and a worse prognosis. A pyrosequencing (PSQ) technique was used to analyze MGMT methylation status at different cut-offs (5%, 9%, and 11%) in a sample of 78 patients diagnosed with IDH-wildtype grade 4 GBM. A retrospective analysis was provided to collect clinicopathological and prognostic data. A statistical analysis was used to establish an association between methylation status and treatment response (TR) and disease-specific survival (DSS). The patients with methylated MGMT status experienced progressive disease rates of 84.6%, 80%, and 78.4% at the respective cut-offs of 5%, 9%, and 11%. The number was considerably higher when considering unmethylated patients, as all patients (100%), regardless of the cut-off, presented progressive disease. Regarding disease-specific survival (DSS), the Hazard Ratio (HR) was HR = 0.74 (0.45-1.24; p = 0.251); HR = 0.82 (0.51-1.33; p = 0.425); and HR = 0.79 (0.49-1.29; p = 0.350), respectively. Our study concludes that there is an association between MGMT unmethylation and worse TR and DSS. The 9% cut-off demonstrated a greater potential for patient survival as a function of time, which may shed light on the future need for standardization of MGMT methylation positivity parameters in PSQ.
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Affiliation(s)
- Fábio França Vieira e Silva
- Department of Medicine and Dentistry, University of Santiago de Compostela, San Francisco Street, s/n, 15782 Santiago de Compostela, Spain (M.P.-S.); (G.C.V.C.); (A.G.-G.); (J.M.S.-P.)
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via Abramo Lincoln, 5, 81100 Caserta, Italy; (M.D.D.); (A.B.)
| | - Marina Di Domenico
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via Abramo Lincoln, 5, 81100 Caserta, Italy; (M.D.D.); (A.B.)
| | - Vito Carlo Alberto Caponio
- Department of Clinical and Experimental Medicine, University of Foggia, Via Napoli, 20, 71122 Foggia, Italy;
| | - Mario Pérez-Sayáns
- Department of Medicine and Dentistry, University of Santiago de Compostela, San Francisco Street, s/n, 15782 Santiago de Compostela, Spain (M.P.-S.); (G.C.V.C.); (A.G.-G.); (J.M.S.-P.)
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
| | - Gisela Cristina Vianna Camolesi
- Department of Medicine and Dentistry, University of Santiago de Compostela, San Francisco Street, s/n, 15782 Santiago de Compostela, Spain (M.P.-S.); (G.C.V.C.); (A.G.-G.); (J.M.S.-P.)
| | - Laura Isabel Rojo-Álvarez
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
| | - Andrea Ballini
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via Abramo Lincoln, 5, 81100 Caserta, Italy; (M.D.D.); (A.B.)
| | - Abel García-García
- Department of Medicine and Dentistry, University of Santiago de Compostela, San Francisco Street, s/n, 15782 Santiago de Compostela, Spain (M.P.-S.); (G.C.V.C.); (A.G.-G.); (J.M.S.-P.)
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
| | - María Elena Padín-Iruegas
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
- Human Anatomy and Embryology Area, Department of Functional Biology and Health Sciences, University of Vigo, Lagoas-Marcosende, s/n, 36310 Vigo, Spain
| | - Jose Manuel Suaréz-Peñaranda
- Department of Medicine and Dentistry, University of Santiago de Compostela, San Francisco Street, s/n, 15782 Santiago de Compostela, Spain (M.P.-S.); (G.C.V.C.); (A.G.-G.); (J.M.S.-P.)
- Health Research Institute of Santiago de Compostela (FIDIS), Santiago de Compostela University Clinical Hospital, University of Santiago de Compostela, Choupana Street, s/n, 15706 Santiago de Compostela, Spain;
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Ji YL, Kang K, Lv QL, Wang DP. Roles of lncRNA-MALAT1 in the Progression and Prognosis of Gliomas. Mini Rev Med Chem 2024; 24:786-792. [PMID: 37859309 DOI: 10.2174/0113895575253875230922055711] [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: 03/30/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 10/21/2023]
Abstract
Long noncoding RNAs (lncRNAs) represent a large subgroup of RNA transcripts that lack the function of coding proteins and may be essential universal genes involved in carcinogenesis and metastasis. LncRNA metastasis-associated lung adenocarcinoma transcript 1 (lncRNAMALAT1) is overexpressed in various human tumors, including gliomas. However, the biological function and molecular mechanism of action of lncRNA-MALAT1 in gliomas have not yet been systematically elucidated. Accumulating evidence suggests that the abnormal expression of lncRNA-MALAT1 in gliomas is associated with various physical properties of the glioma, such as tumor growth, metastasis, apoptosis, drug resistance, and prognosis. Furthermore, lncRNAs, as tumor progression and prognostic markers in gliomas, may affect tumorigenesis, proliferation of glioma stem cells, and drug resistance. In this review, we summarize the knowledge on the biological functions and prognostic value of lncRNA-MALAT1 in gliomas. This mini-review aims to deepen the understanding of lncRNA-MALAT1 as a novel potential therapeutic target for the individualized precision treatment of gliomas.
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Affiliation(s)
- Yu-Long Ji
- Department of Radiation Oncology, Jiangxi Key Laboratory of Translational Cancer Research, Jiangxi Cancer Hospital, Jiangxi Province, China
| | - Kai Kang
- School of Public Health, Fudan University, Shanghai, 200032, China
- Department of Research and Surveillance Evaluation, Shanghai Municipal Center for Health Promotion, Shanghai, 200040, China
| | - Qiao-Li Lv
- Department of Radiation Oncology, Jiangxi Key Laboratory of Translational Cancer Research, Jiangxi Cancer Hospital, Jiangxi Province, China
| | - Da-Peng Wang
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Glavatskyi O, Khranovska N, Skachkova O, Gorbach O, Khmelnytskyi H, Shuba I, Pedachenko Y, Zemskova O, Zemskova O. DENDRITIC CELLS IN GLIOBLASTOMA TREATMENT: A MODERN VIEW OF THE PROBLEM AND OWN EXPERIENCE. Exp Oncol 2023; 45:282-296. [PMID: 38186026 DOI: 10.15407/exp-oncology.2023.03.282] [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: 12/27/2023] [Indexed: 01/09/2024]
Abstract
Glioblastoma (GBM) is the most aggressive primary malignant brain tumor in adults. The improvement of the efficacy of GBM treatment is an urgent problem encouraging the development of novel therapeutic strategies, in particular, immunotherapeutic modalities. With more understanding of the intimate interrelationships between the immune system and the mechanisms involved in cancer origin and progression, the skepticism related to the relevance of the immunotherapeutic approaches in the treatment of brain tumors is gradually decreasing. The review discloses the modern concepts on the association between CNS and the immune system. For a long time, CNS was considered as the immunoprivileged site that prevents the effects of immunotherapy in the treatment of brain tumors. Nowadays, these views are reconsidered, which opens the way to the use of immunotherapeutic approaches in GBM treatment. The results of the recent clinical trials on immunotherapy as a supplement to the conventional GBM treatment are considered. Vaccines based on the dendritic cell (DC) technology are regarded as the most promising for this purpose. The preliminary results of the Ukrainian clinical study are also presented and discussed. The results of the international clinical trials as well as our own experience give evidence of the relevance for using DC vaccines in the complex treatment of GBM, which is supported by the increased survival of patients and the safety of vaccine application. It is of high importance that GBM patients with the most unfavorable prognosis can benefit from DC vaccines as a component of the complex treatment. The prospects for immunotherapy in neurooncology are discussed.
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Affiliation(s)
- O Glavatskyi
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - N Khranovska
- State Non-commercial Enterprise "National Cancer Institute", Kyiv, Ukraine
| | - O Skachkova
- State Non-commercial Enterprise "National Cancer Institute", Kyiv, Ukraine
| | - O Gorbach
- State Non-commercial Enterprise "National Cancer Institute", Kyiv, Ukraine
| | - H Khmelnytskyi
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - I Shuba
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - Ye Pedachenko
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - O Zemskova
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine.
| | - O Zemskova
- State Institution "Academician Romodanov Institute of Neurosurgery, the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine.
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Zeng S, Ma H, Xie D, Huang Y, Yang J, Lin F, Ma Z, Wang M, Yang Z, Zhao J, Chu J. Tumor Multiregional Mean Apparent Propagator (MAP) Features in Evaluating Gliomas-A Comparative Study With Diffusion Kurtosis Imaging (DKI). J Magn Reson Imaging 2023. [PMID: 38131220 DOI: 10.1002/jmri.29202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Glioma classification affects treatment and prognosis. Reliable imaging methods for preoperatively evaluating gliomas are essential. PURPOSE To evaluate tumor multiregional mean apparent propagator (MAP) features in glioma diagnosis and to compare those with diffusion-kurtosis imaging (DKI). STUDY TYPE Retrospective study. SUBJECTS 70 untreated glioma patients (31 LGGs (low-grade gliomas), 34 women; mean age, 47 ± 12 years, training (60%, n = 42) and testing cohorts (40%, n = 28)). FIELD STRENGTH/SEQUENCE 3-T, diffusion-MRI using q-space Cartesian grid sampling with 11 different b-values. ASSESSMENT Tumor multiregional MAP (mean squared displacement (MSD); q-space inverse variance (QIV); non-Gaussianity (NG); axial/radial non-Gaussianity (NGAx, NGRad); return-to-origin/axis/plane probability (RTOP, RTAP, and RTPP)); and DKI metrics (axial/mean/radial kurtosis (AK, MK, and RK)) on tumor parenchyma (TP) and peritumoral areas (PT) in histopathologically gliomas grading and genotyping were assessed. STATISTICAL TESTS Mann-Whitney U; Kruskal-Wallis; Benjamini-Hochberg; Bonferroni-correction; receiver operating curve (ROC) and area under curve (AUC); DeLong's test; Random Forest (RF). P value<0.05 was considered statistically significant after multiple comparisons correction. RESULTS Compared with LGGs, MSD, and QIV were significantly lower in TP, whereas NG, NGAx, NGRad, RTOP, RTAP, RTPP, and DKI metrics were significantly higher in HGGs (high-grade gliomas) (P ≤ 0.007), as well as in isocitrate-dehydrogenase (IDH)-mutated than IDH-wildtype gliomas (P ≤ 0.039). These trends were reversed for PT (tumor grades, P ≤ 0.011; IDH-mutation status, P ≤ 0.012). ROC analysis showed that, in TP, DKI metrics performed best in TP (AUC 0.83), whereas in PT, RTPP performed best (AUC 0.77) in glioma grading. AK performed best in TP (AUC 0.77), whereas MSD and RTPP performed best in PT (AUC 0.73) in IDH genotyping. Further RF analysis with DKI and MAP demonstrated good performance in grading (AUC 0.91, Accuracy 82%) and IDH genotyping (AUC 0.87, Accuracy 79%). DATA CONCLUSION Tumor multiregional MAP features could effectively evaluate gliomas. The performance of MAP may be similar to DKI in TP, while in PT, MAP may outperform DKI. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Shanmei Zeng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Hui Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Dingxiang Xie
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yingqian Huang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jia Yang
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Fangzeng Lin
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Zuliwei Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Mengzhu Wang
- Department of MR Scientific Marketing, Siemens Healthineers, Guangzhou, Guangdong, China
| | - Zhiyun Yang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jing Zhao
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jianping Chu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Chirlaque MD, Peris-Bonet R, Sánchez A, Cruz O, Marcos-Gragera R, Gutiérrez-Ávila G, Quirós-García JR, Almela-Vich F, López de Munain A, Sánchez MJ, Franch-Sureda P, Ardanaz E, Galceran J, Martos C, Salmerón D, Gatta G, Botta L, Cañete A. Childhood and Adolescent Central Nervous System Tumours in Spain: Incidence and Survival over 20 Years: A Historical Baseline for Current Assessment. Cancers (Basel) 2023; 15:5889. [PMID: 38136432 PMCID: PMC10742240 DOI: 10.3390/cancers15245889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/04/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Central nervous system (CNS) neoplasms are highly frequent solid tumours in children and adolescents. While some studies have shown a rise in their incidence in Europe, others have not. Survival remains limited. We addressed two questions about these tumours in Spain: (1) Is incidence increasing? and (2) Has survival improved? METHODS This population-based study included 1635 children and 328 adolescents from 11 population-based cancer registries with International Classification of Childhood Cancer Group III tumours, incident in 1983-2007. Age-specific and age-standardised (world population) incidence rates (ASRws) were calculated. Incidence time trends were characterised using annual percent change (APC) obtained with Joinpoint. Cases from 1991 to 2005 (1171) were included in Kaplan-Meier survival analyses, and the results were evaluated with log-rank and log-rank for trend tests. Children's survival was age-standardised using: (1) the age distribution of cases and the corresponding trends assessed with Joinpoint; and (2) European weights for comparison with Europe. RESULTS ASRw 1983-2007: children: 32.7 cases/106; adolescents: 23.5 cases/106. The overall incidence of all tumours increased across 1983-2007 in children and adolescents. Considering change points, the APCs were: (1) children: 1983-1993, 4.3%^ (1.1; 7.7); 1993-2007, -0.2% (-1.9; 1.6); (2) adolescents: 1983-2004: 2.9%^ (0.9; 4.9); 2004-2007: -7.7% (-40; 41.9). For malignant tumours, the trends were not significant. 5-year survival was 65% (1991-2005), with no significant trends (except for non-malignant tumours). CONCLUSIONS CNS tumour incidence in Spain was found to be similar to that in Europe. Rises in incidence may be mostly attributable to changes in the registration of non-malignant tumours. The overall malignant CNS tumour trend was compatible with reports for Southern Europe. Survival was lower than in Europe, without improvement over time. We provide a baseline for assessing current paediatric oncology achievements and incidence in respect of childhood and adolescent CNS tumours.
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Affiliation(s)
- Maria D. Chirlaque
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.D.C.); (R.M.-G.); (M.J.S.); (E.A.); (D.S.)
- Department of Epidemiology, Murcia Regional Health Authority, 30071 Murcia, Spain;
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, El Palmar, 30120 Murcia, Spain
| | - Rafael Peris-Bonet
- Spanish Registry of Childhood Tumours (RETI-SEHOP), University of Valencia, Faculty of Medicine, 46010 Valencia, Spain
| | - Antonia Sánchez
- Department of Epidemiology, Murcia Regional Health Authority, 30071 Murcia, Spain;
| | - Ofelia Cruz
- Neuro-Oncology Unit, Paediatric Cancer Centre, Sant Joan de Déu Hospital, Esplugues de Llobregat, 08950 Barcelona, Spain;
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.D.C.); (R.M.-G.); (M.J.S.); (E.A.); (D.S.)
- Epidemiology Unit and Girona Cancer Registry, Oncology Co-Ordination Plan, Catalonian Oncology Institute, 17004 Girona, Spain
- Josep Trueta Girona Biomedical Research Institute (IDIBGI), Salt, 17190 Girona, Spain
- Statistics, Econometrics and Health Research Group (GRECS), University of Girona, 17004 Girona, Spain
- Josep Carreras Leukaemia Research Institute, 08916 Badalona, Spain
| | | | | | - Fernando Almela-Vich
- Valencian Regional Childhood Cancer Registry, Non-Communicable Disease Epidemiology and Surveillance Department, General Subdirectorate of Epidemiology and Health Surveillance, General Directorate of Public Health and Addictions, Regional Public Health Authority, Valencian Regional Authority, 46010 Valencia, Spain;
| | - Arantza López de Munain
- Basque Country Cancer Registry, Health Department, Basque Country Regional Authority, 01010 Vitoria-Gasteiz, Spain;
| | - Maria J. Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.D.C.); (R.M.-G.); (M.J.S.); (E.A.); (D.S.)
- Andalusian School of Public Health (EASP), 18011 Granada, Spain
- Granada Bio-Health Research Institute, 18012 Granada, Spain
| | - Paula Franch-Sureda
- Mallorca Cancer Registry, General Directorate of Public Health and Participation, Balearic Isles Health Research Institute (IdISBa), 07010 Palma de Mallorca, Spain;
| | - Eva Ardanaz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.D.C.); (R.M.-G.); (M.J.S.); (E.A.); (D.S.)
- Navarre Public Health Institute, 31003 Pamplona, Spain
- IdiSNA, Navarre Health Research Institute, 31008 Pamplona, Spain
| | - Jaume Galceran
- Tarragona Cancer Registry, Cancer Epidemiology and Prevention Service, Sant Joan de Reus University Teaching Hospital, 43204 Reus, Spain;
- Pere Virgili Health Research Institute (IISPV), 43204 Reus, Spain
- Faculty of Medicine and Health Sciences, Rovira i Virgili University (URV), 43003 Reus, Spain
| | - Carmen Martos
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 46020 Valencia, Spain;
| | - Diego Salmerón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; (M.D.C.); (R.M.-G.); (M.J.S.); (E.A.); (D.S.)
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, El Palmar, 30120 Murcia, Spain
- Department of Health and Social Sciences, University of Murcia, 30100 Murcia, Spain
| | - Gemma Gatta
- Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS, Istituto Nazionale dei Tumori, 20133 Milan, Italy; (G.G.); (L.B.)
| | - Laura Botta
- Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS, Istituto Nazionale dei Tumori, 20133 Milan, Italy; (G.G.); (L.B.)
| | - Adela Cañete
- Spanish Registry of Childhood Tumours (RETI-SEHOP), University of Valencia, Faculty of Medicine, 46010 Valencia, Spain
- Paediatric Oncology Department, La Fe Hospital, 46026 Valencia, Spain
- Paediatrics, Obstetrics and Gynaecology Department, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain
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Nakhate V, Gonzalez Castro LN. Artificial intelligence in neuro-oncology. Front Neurosci 2023; 17:1217629. [PMID: 38161802 PMCID: PMC10755952 DOI: 10.3389/fnins.2023.1217629] [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: 05/05/2023] [Accepted: 11/14/2023] [Indexed: 01/03/2024] Open
Abstract
Artificial intelligence (AI) describes the application of computer algorithms to the solution of problems that have traditionally required human intelligence. Although formal work in AI has been slowly advancing for almost 70 years, developments in the last decade, and particularly in the last year, have led to an explosion of AI applications in multiple fields. Neuro-oncology has not escaped this trend. Given the expected integration of AI-based methods to neuro-oncology practice over the coming years, we set to provide an overview of existing technologies as they are applied to the neuropathology and neuroradiology of brain tumors. We highlight current benefits and limitations of these technologies and offer recommendations on how to appraise novel AI-tools as they undergo consideration for integration into clinical workflows.
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Affiliation(s)
- Vihang Nakhate
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - L. Nicolas Gonzalez Castro
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- The Center for Neuro-Oncology, Dana–Farber Cancer Institute, Boston, MA, United States
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Wang Z, Cai H, Li Z, Sun W, Zhao E, Cui H. Histone demethylase KDM4B accelerates the progression of glioblastoma via the epigenetic regulation of MYC stability. Clin Epigenetics 2023; 15:192. [PMID: 38093312 PMCID: PMC10720090 DOI: 10.1186/s13148-023-01608-4] [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] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Glioblastoma (GBM) is the most malignant and invasive human brain tumor. Histone demethylase 4B (KDM4B) is abnormally expressed in GBM, but the molecular mechanisms by which KDM4B affects the malignant tumor progression are not well defined. METHODS GBM cell lines and xenograft tumor samples were subjected to quantitative PCR (qPCR), Western blot, immunohistochemical staining (IHC), as well as ubiquitination, immunoprecipitation (IP), and chromatin immunoprecipitation (ChIP) assays to investigate the role of KDM4B in the progression of GBM. RESULTS Here, we report that KDM4B is an epigenetic activator of GBM progression. Abnormal expression of KDM4B is correlated with a poor prognosis in GBM patients. In GBM cell lines, KDM4B silencing significantly inhibited cell survival, proliferation, migration, and invasion, indicating that KDM4B is essential for the anchorage-independent growth and tumorigenic activity of GBM cells. Mechanistically, KDM4B silencing led to downregulation of the oncoprotein MYC and suppressed the expression of cell cycle proteins and epithelial-to-mesenchymal transition (EMT)-related proteins. Furthermore, we found that KDM4B regulates MYC stability through the E3 ligase complex SCFFBXL3+CRY2 and epigenetically activates the transcription of CCNB1 by removing the repressive chromatin mark histone H3 lysine 9 trimethylation (H3K9me3). Finally, we provide evidence that KDM4B epigenetically activates the transcription of miR-181d-5p, which enhances MYC stability. CONCLUSIONS Our study has uncovered a KDM4B-dependent epigenetic mechanism in the control of tumor progression, providing a rationale for utilizing KDM4B as a promising therapeutic target for the treatment of MYC-amplified GBM.
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Affiliation(s)
- Zhongze Wang
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China
- State Key Laboratory for Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Fujian, 361102, China
| | - Huarui Cai
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China
- Jinfeng Laboratory, Chongqing, 401329, China
- Chongqing Engineering and Technology Research Center for Silk Biomaterials and Regenerative Medicine, Chongqing, 400716, China
| | - Zekun Li
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China
| | - Wei Sun
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China
| | - Erhu Zhao
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China.
- Jinfeng Laboratory, Chongqing, 401329, China.
- Chongqing Engineering and Technology Research Center for Silk Biomaterials and Regenerative Medicine, Chongqing, 400716, China.
| | - Hongjuan Cui
- State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, No.2 Tiansheng Road, Beibei district, Chongqing, 400715, China.
- Jinfeng Laboratory, Chongqing, 401329, China.
- Chongqing Engineering and Technology Research Center for Silk Biomaterials and Regenerative Medicine, Chongqing, 400716, China.
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Toader C, Eva L, Costea D, Corlatescu AD, Covache-Busuioc RA, Bratu BG, Glavan LA, Costin HP, Popa AA, Ciurea AV. Low-Grade Gliomas: Histological Subtypes, Molecular Mechanisms, and Treatment Strategies. Brain Sci 2023; 13:1700. [PMID: 38137148 PMCID: PMC10741942 DOI: 10.3390/brainsci13121700] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Low-Grade Gliomas (LGGs) represent a diverse group of brain tumors originating from glial cells, characterized by their unique histopathological and molecular features. This article offers a comprehensive exploration of LGGs, shedding light on their subtypes, histological and molecular aspects. By delving into the World Health Organization's grading system, 5th edition, various specificities were added due to an in-depth understanding of emerging laboratory techniques, especially genomic analysis. Moreover, treatment modalities are extensively discussed. The degree of surgical resection should always be considered according to postoperative quality of life and cognitive status. Adjuvant therapies focused on chemotherapy and radiotherapy depend on tumor grading and invasiveness. In the current literature, emerging targeted molecular therapies are well discussed due to their succinctly therapeutic effect; in our article, those therapies are summarized based on posttreatment results and possible adverse effects. This review serves as a valuable resource for clinicians, researchers, and medical professionals aiming to deepen their knowledge on LGGs and enhance patient care.
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Affiliation(s)
- Corneliu Toader
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
- Department of Vascular Neurosurgery, National Institute of Neurology and Neurovascular Diseases, 077160 Bucharest, Romania
| | - Lucian Eva
- Department of Neurosurgery, Dunarea de Jos University, 800010 Galati, Romania
- Department of Neurosurgery, Clinical Emergency Hospital “Prof. Dr. Nicolae Oblu”, 700309 Iasi, Romania
| | - Daniel Costea
- Department of Neurosurgery, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Antonio Daniel Corlatescu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Razvan-Adrian Covache-Busuioc
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Bogdan-Gabriel Bratu
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Luca Andrei Glavan
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Horia Petre Costin
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Andrei Adrian Popa
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
| | - Alexandru Vlad Ciurea
- Department of Neurosurgery, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.T.); (A.D.C.); (R.-A.C.-B.); (B.-G.B.); (L.A.G.); (H.P.C.); (A.A.P.); (A.V.C.)
- Neurosurgery Department, Sanador Clinical Hospital, 010991 Bucharest, Romania
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Guan Y, Han J, Chen D, Zhan Y, Chen J. Aquaporin 1 overexpression may enhance glioma tumorigenesis by interacting with the transcriptional regulation networks of Foxo4, Maz, and E2F families. Chin Neurosurg J 2023; 9:34. [PMID: 38057925 DOI: 10.1186/s41016-023-00342-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 09/06/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND The glioblastoma has served as a valuable experimental model system for investigating the growth and invasive properties of glioblastoma. Aquaporin-1 (AQP1) in facilitating cell migration and potentially contributing to tumor progression. In this study, we analyzed the role of AQP1 overexpression in glioblastoma and elucidated the main mechanisms involved. METHODS AQP1 overexpression recombinant vector was introduced into C6 rat glioma cells to construct an AQP1 overexpression C6 cell line, and its effect on cell viability and migration ability was detected by MTT and Transwell. RNA was extracted by Trizol method for gene sequencing and transcriptomics analysis, and the differentially expressed genes (DEGs) were enriched for up- and downregulated genes by Principal component analysis (PCA), and the molecular mechanism of AQP1 overexpression was analyzed in comparison with the control group using the NCBI GEO database. Statistical analysis was performed using Mann-Whitney paired two tailed t test. RESULTS The cell viability of AQP1-transfected cell lines increased by 23% and the mean distance traveled increased by 67% compared with the control group. Quantitative analysis of gene expression showed that there were 12,121 genes with an average transcripts per million (TPM) value greater than 1. DEGs accounted for 13% of the genes expressed, with the highest correlation with upregulated genes being FOXO4 and MAZ, and the highest with downregulated genes being E2F TFs. CONCLUSIONS AQP1 may be implicated in glioma formation by interacting with the transcriptional regulation networks involving the FOXO4, MAZ, and E2F1/2. These findings shed light on the potential significance of AQP1 in glioma pathogenesis and warrant further investigations to unravel the underlying molecular mechanisms.
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Affiliation(s)
- Ying Guan
- Department of Ultrasound, The First Affiliated Hospital of Hainan Medical College, Haikou City, 570102, Hainan Province, China
| | - Jinhua Han
- Department of Radiology, The First Affiliated Hospital of Hainan Medical College, Haikou City, 570102, Hainan Province, China
| | - Die Chen
- Department of Ultrasound, The First Affiliated Hospital of Hainan Medical College, Haikou City, 570102, Hainan Province, China
| | - Yuefu Zhan
- Department of Radiology, Hainan Children's Hospital, Haikou City, 571103, Hainan Province, China
| | - Jianqiang Chen
- Department of Radiology, The First Affiliated Hospital of Hainan Medical College, Haikou City, 570102, Hainan Province, China.
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Chen L, Chen R, Li T, Huang L, Tang C, Li Y, Zeng Z. MRI radiomics model for predicting TERT promoter mutation status in glioblastoma. Brain Behav 2023; 13:e3324. [PMID: 38054695 PMCID: PMC10726789 DOI: 10.1002/brb3.3324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/05/2023] [Accepted: 10/31/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND AND PURPOSE The presence of TERT promoter mutations has been associated with worse prognosis and resistance to therapy for patients with glioblastoma (GBM). This study aimed to determine whether the combination model of different feature selections and classification algorithms based on multiparameter MRI can be used to predict TERT subtype in GBM patients. METHODS A total of 143 patients were included in our retrospective study, and 2553 features were obtained. The datasets were randomly divided into training and test sets in a ratio of 7:3. The synthetic minority oversampling technique was used to achieve data balance. The Pearson correlation coefficients were used for dimension reduction. Three feature selections and five classification algorithms were used to model the selected features. Finally, 10-fold cross validation was applied to the training dataset. RESULTS A model with eight features generated by recursive feature elimination (RFE) and linear discriminant analysis (LDA) showed the greatest diagnostic performance (area under the curve values for the training, validation, and testing sets: 0.983, 0.964, and 0.926, respectively), followed by relief and random forest (RF), analysis of variance and RF. Furthermore, the relief was the optimal feature selection for separately evaluating those five classification algorithms, and RF was the most preferable algorithm for separately assessing the three feature selectors. ADC entropy was the parameter that made the greatest contribution to the discrimination of TERT mutations. CONCLUSIONS Radiomics model generated by RFE and LDA mainly based on ADC entropy showed good performance in predicting TERT promoter mutations in GBM.
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Affiliation(s)
- Ling Chen
- Department of RadiologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Department of RadiologyLiuzhou Worker's HospitalThe Fourth Affiliated HospitalGuangxi Medical UniversityNanningGuangxiChina
| | - Runrong Chen
- Department of RadiologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Tao Li
- Department of RadiologyLiuzhou Worker's HospitalThe Fourth Affiliated HospitalGuangxi Medical UniversityNanningGuangxiChina
| | - Lizhao Huang
- Department of RadiologyLiuzhou Worker's HospitalThe Fourth Affiliated HospitalGuangxi Medical UniversityNanningGuangxiChina
| | - Chuyun Tang
- Department of RadiologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Yao Li
- Department of NeurosurgeryLiuzhou Worker's HospitalThe Fourth Affiliated HospitalGuangxi Medical UniversityNanningGuangxiChina
| | - Zisan Zeng
- Department of RadiologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
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Zhang Y, Wu X, Zhu J, Lu R, Ouyang Y. Knockdown of SLC39A14 inhibits glioma progression by promoting erastin-induced ferroptosis SLC39A14 knockdown inhibits glioma progression. BMC Cancer 2023; 23:1120. [PMID: 37978473 PMCID: PMC10655456 DOI: 10.1186/s12885-023-11637-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Ferroptosis is a newly classified form of regulated cell death with implications in various tumor progression pathways. However, the roles and mechanisms of ferroptosis-related genes in glioma remain unclear. METHODS Bioinformatics analysis was employed to identify differentially expressed ferroptosis-related genes in glioma. The expression levels of hub genes were assessed using real-time reverse transcriptase-polymerase chain reaction (RT-qPCR). To explore the role of SLC39A14 in glioma, a series of in vitro assays were conducted, including cell counting kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU), flow cytometry, wound healing, and Transwell assays. Enzyme-linked immunosorbent assay (ELISA) was utilized to measure the levels of indicators associated with ferroptosis. Hematoxylin-eosin (HE) and immunohistochemistry (IHC) staining were performed to illustrate the clinicopathological features of the mouse transplantation tumor model. Additionally, Western blot analysis was used to assess the expression of the cGMP-PKG pathway-related proteins. RESULTS Seven ferroptosis-related hub genes, namely SLC39A14, WWTR1, STEAP3, NOTCH2, IREB2, HIF1A, and FANCD2, were identified, all of which were highly expressed in glioma. Knockdown of SLC39A14 inhibited glioma cell proliferation, migration, and invasion, while promoting apoptosis. Moreover, SLC39A14 knockdown also facilitated erastin-induced ferroptosis, leading to the suppression of mouse transplantation tumor growth. Mechanistically, SLC39A14 knockdown inhibited the cGMP-PKG signaling pathway activation. CONCLUSION Silencing SLC39A14 inhibits ferroptosis and tumor progression, potentially involving the regulation of the cGMP-PKG signaling pathway.
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Affiliation(s)
- Yunwen Zhang
- Department of Neurosurgery, First Clinical Medical College of Gannan Medical University, No.1 Xueyuan Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
| | - Xinghai Wu
- Department of Neurosurgery, Zhangye People's Hospital Affiliated to Hexi University, No. 67 Xihuan Road, Ganzhou District, Zhangye City, 734000, Gansu Province, China
| | - Jiyong Zhu
- Department of Neurosurgery, Guilin Municipal Hospital of Traditional Chinese Medicine, Guangxi Zhuang Autonomous Region, No. 2 Lingui Road, Xiangshan District, Guilin City, 541002, China
| | - Ruibin Lu
- Department of Neurosurgery, First Clinical Medical College of Gannan Medical University, No.1 Xueyuan Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
| | - Yian Ouyang
- Department of Neurosurgery, First Affiliated Hospital of Gannan Medical University, No.23 Qingnian Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China.
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