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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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Wen Y, Chen X, Li R, Xie H, Zhi S, Wang K, Yi S, Liang W, Hu H, Rao S, Gao X. A novel prognostic risk-scoring system based on m 5C methylation regulator-mediated patterns for glioma patients. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200790. [PMID: 38595980 PMCID: PMC10965830 DOI: 10.1016/j.omton.2024.200790] [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] [Received: 06/13/2023] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
N5-methylcytosine (m5C) methylation modification plays a crucial role in the epigenetic mechanisms underlying tumorigenesis, aggressiveness, and malignancy in diffuse glioma. Our study aimed to develop a novel prognostic risk-scoring system to assess the impact of m5C modification in glioma patients. Initially, we identified two distinct m5C clusters based on the expression level of m5C regulators in The Cancer Genome Atlas glioblastoma (TCGA-GBM) dataset. Differentially expressed genes (DEGs) between the two m5C cluster groups were determined. Utilizing these m5C regulation-related DEGs, we classified glioma patients into three gene cluster groups: A, B, and C. Subsequently, an m5C scoring system was developed through a univariate Cox regression model, quantifying the m5C modification patterns utilizing six DEGs associated with disease prognosis. The resulting scoring system allowed us to categorize patients into high- or low-risk groups based on their m5C scores. In test (TCGA-GBM) and validation (Chinese Glioma Genome Atlas [CGGA]-1018 and CGGA-301) datasets, glioma patients with a higher m5C score consistently exhibited shorter survival durations, fewer isocitrate dehydrogenase (IDH) mutations, less 1p/19q codeletion and higher World Health Organization (WHO) grades. Additionally, distinct immune cell infiltration characteristics were observed among different m5C cluster groups and risk groups. Our study developed a novel prognostic scoring system based on m5C modification patterns for glioma patients, complementing existing molecular classifications and providing valuable insights into prognosis for glioma patients.
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Affiliation(s)
- Yutong Wen
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Xiaotong Chen
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Runtong Li
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Haiting Xie
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Shuai Zhi
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Kaitao Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Shang Yi
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Haiyan Hu
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, P.R. China
| | - Shitao Rao
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Xiaoya Gao
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
- Department of Pediatric Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
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Qi P, Yao QL, Lao IW, Ren M, Bai QM, Cai X, Xue T, Wei R, Zhou XY. A custom next-generation sequencing panel for 1p/19q codeletion and mutational analysis in gliomas. J Neuropathol Exp Neurol 2024; 83:258-267. [PMID: 38408388 DOI: 10.1093/jnen/nlae011] [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] [Indexed: 02/28/2024] Open
Abstract
The World Health Organization has updated their classification system for the diagnosis of gliomas, combining histological features with molecular data including isocitrate dehydrogenase 1 and codeletion of chromosomal arms 1p and 19q. 1p/19q codeletion analysis is commonly performed by fluorescence in situ hybridization (FISH). In this study, we developed a 57-gene targeted next-generation sequencing (NGS) panel including 1p/19q codeletion detection mainly to assess diagnosis and potential treatment response in melanoma, gastrointestinal stromal tumor, and glioma patients. Loss of heterozygosity analysis was performed using the NGS method on 37 formalin-fixed paraffin-embedded glioma tissues that showed 1p and/or 19q loss determined by FISH. Conventional methods were applied for the validation of some glioma-related gene mutations. In 81.1% (30 of 37) and 94.6% (35 of 37) of cases, 1p and 19q were found to be in agreement whereas concordance for 1p/19q codeletion and no 1p/19q codeletion was found in 94.7% (18 of 19) and 94.4% (17 of 18) of cases, respectively. Overall, comparing NGS results with those of conventional methods showed high concordance. In conclusion, the NGS panel allows reliable analysis of 1p/19q codeletion and mutation at the same time.
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Affiliation(s)
- Peng Qi
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Qian-Lan Yao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - I Weng Lao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Min Ren
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Qian-Ming Bai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Xu Cai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Tian Xue
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Ran Wei
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Xiao-Yan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
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Shah M, Anis SB, Yusuf I, Bajwa MH. Survival Analysis and Correlates with Molecular Epidemiology: 10-Year Retrospective Series of High-Grade Glioma in Pakistan. JOURNAL OF CANCER & ALLIED SPECIALTIES 2024; 10:565. [PMID: 38259678 PMCID: PMC10793716 DOI: 10.37029/jcas.v10i1.565] [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] [Received: 07/27/2023] [Accepted: 12/06/2023] [Indexed: 01/24/2024]
Abstract
Introduction High-grade gliomas are malignant, recurring primary central nervous system (CNS) tumors requiring extensive postoperative chemotherapy and radiation treatment. Isocitrate dehydrogenase (IDH), 1p19q, and ATRX mutations significantly influence survival and response to chemotherapy, as seen in many extensive studies from the Global North. This study aims to report data from the local region regarding progression-free survival and overall survival in light of molecular characteristics. Materials and Methods A 10-year retrospective series was conducted at the Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, with 285 patients presenting from 2008 to 2018. Prospective follow-up data was collected, and complete molecular profiles were available for patients presenting from 2010 onwards. Survival analysis was conducted through the Kaplan-Meier method, with log-rank reported. Results 70.53% (201) of patients were male, with a mean age at diagnosis of 43.33 ± 15.1 years. 265 patients within the cohort completed postoperative radiotherapy, while 141 patients underwent chemotherapy (procarbazine, lomustine, and vincristine, or temozolomide). Mean survival, in months, within the cohort was as follows: glioblastoma (14.1), anaplastic astrocytoma (27.5), and anaplastic oligodendroglioma (39.8). Survival curves showed a lower survival for IDH wild-type (P < 0.0001), ATRX mutated (P = 0.029), and 1p19q non-deleted (P = 0.008) tumors from Pakistan. Discussion Our findings quantified long-term survival outcomes for high-grade glioma from Pakistan, analyzing the various treatment patterns. Of particular importance, molecular sub-classification significantly predicted survival outcomes for IDH, ATRX, and 1p19 co-deletion mutations. Expanding brain tumor epidemiology will benefit assessing the efficacy of regional oncological centers and establishing standards of care.
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Affiliation(s)
- Mashal Shah
- Department of Surgery, The Aga Khan University, Karachi, Pakistan
| | - Saad Bin Anis
- Department of Surgical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan
| | - Irfan Yusuf
- Department of Surgical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan
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He L, Zhang H, Li T, Yang J, Zhou Y, Wang J, Saidaer T, Bai X, Liu X, Wang Y, Wang L. Identifying IDH-mutant and 1p/19q noncodeleted astrocytomas from nonenhancing gliomas: Manual recognition followed by artificial intelligence recognition. Neurooncol Adv 2024; 6:vdae013. [PMID: 38405203 PMCID: PMC10894653 DOI: 10.1093/noajnl/vdae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Abstract
Background The T2-FLAIR mismatch sign (T2FM) has nearly 100% specificity for predicting IDH-mutant and 1p/19q noncodeleted astrocytomas (astrocytomas). However, only 18.2%-56.0% of astrocytomas demonstrate a positive T2FM. Methods must be considered for distinguishing astrocytomas from negative T2FM gliomas. In this study, positive T2FM gliomas were manually distinguished from nonenhancing gliomas, and then a support vector machine (SVM) classification model was used to distinguish astrocytomas from negative T2FM gliomas. Methods Nonenhancing gliomas (regardless of pathological type or grade) diagnosed between January 2022 and October 2022 (N = 300) and November 2022 and March 2023 (N = 196) will comprise the training and validation sets, respectively. Our method for distinguishing astrocytomas from nonenhancing gliomas was examined and validated using the training set and validation set. Results The specificity of T2FM for predicting astrocytomas was 100% in both the training and validation sets, while the sensitivity was 42.75% and 67.22%, respectively. Using a classification model of SVM based on radiomics features, among negative T2FM gliomas, the accuracy was above 85% when the prediction score was greater than 0.70 in identifying astrocytomas and above 95% when the prediction score was less than 0.30 in identifying nonastrocytomas. Conclusions Manual screening of positive T2FM gliomas, followed by the SVM classification model to differentiate astrocytomas from negative T2FM gliomas, may be a more effective method for identifying astrocytomas in nonenhancing gliomas.
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Affiliation(s)
- Lei He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tianshi Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jianing Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yanpeng Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jiaxiang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tuerhong Saidaer
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaoyan Bai
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xing Liu
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, People’s Republic of China
- Chinese Institute for Brain Research, Beijing, People’s Republic of China
| | - Lei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, People’s Republic of China
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Herr J, Stoyanova R, Mellon EA. Convolutional Neural Networks for Glioma Segmentation and Prognosis: A Systematic Review. Crit Rev Oncog 2024; 29:33-65. [PMID: 38683153 DOI: 10.1615/critrevoncog.2023050852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Deep learning (DL) is poised to redefine the way medical images are processed and analyzed. Convolutional neural networks (CNNs), a specific type of DL architecture, are exceptional for high-throughput processing, allowing for the effective extraction of relevant diagnostic patterns from large volumes of complex visual data. This technology has garnered substantial interest in the field of neuro-oncology as a promising tool to enhance medical imaging throughput and analysis. A multitude of methods harnessing MRI-based CNNs have been proposed for brain tumor segmentation, classification, and prognosis prediction. They are often applied to gliomas, the most common primary brain cancer, to classify subtypes with the goal of guiding therapy decisions. Additionally, the difficulty of repeating brain biopsies to evaluate treatment response in the setting of often confusing imaging findings provides a unique niche for CNNs to help distinguish the treatment response to gliomas. For example, glioblastoma, the most aggressive type of brain cancer, can grow due to poor treatment response, can appear to grow acutely due to treatment-related inflammation as the tumor dies (pseudo-progression), or falsely appear to be regrowing after treatment as a result of brain damage from radiation (radiation necrosis). CNNs are being applied to separate this diagnostic dilemma. This review provides a detailed synthesis of recent DL methods and applications for intratumor segmentation, glioma classification, and prognosis prediction. Furthermore, this review discusses the future direction of MRI-based CNN in the field of neuro-oncology and challenges in model interpretability, data availability, and computation efficiency.
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Affiliation(s)
| | - Radka Stoyanova
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, Miami, Fl 33136, USA
| | - Eric Albert Mellon
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, Miami, Fl 33136, USA
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Bhrdwaj A, Abdalla M, Pande A, Madhavi M, Chopra I, Soni L, Vijayakumar N, Panwar U, Khan MA, Prajapati L, Gujrati D, Belapurkar P, Albogami S, Hussain T, Selvaraj C, Nayarisseri A, Singh SK. Structure-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation of EGFR for the Clinical Treatment of Glioblastoma. Appl Biochem Biotechnol 2023; 195:5094-5119. [PMID: 36976507 DOI: 10.1007/s12010-023-04430-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
Glioblastoma (GBM) is a WHO Grade IV tumor with poor visibility, a high risk of comorbidity, and exhibit limited treatment options. Resurfacing from second-rate glioma was originally classified as either mandatory or optional. Recent interest in personalized medicine has motivated research toward biomarker stratification-based individualized illness therapy. GBM biomarkers have been investigated for their potential utility in prognostic stratification, driving the development of targeted therapy and customizing therapeutic treatment. Due to the availability of a specific EGFRvIII mutational variation with a clear function in glioma-genesis, recent research suggests that EGFR has the potential to be a prognostic factor in GBM, while others have shown no clinical link between EGFR and survival. The pre-existing pharmaceutical lapatinib (PubChem ID: 208,908) with a higher affinity score is used for virtual screening. As a result, the current study revealed a newly screened chemical (PubChem CID: 59,671,768) with a higher affinity than the previously known molecule. When the two compounds are compared, the former has the lowest re-rank score. The time-resolved features of a virtually screened chemical and an established compound were investigated using molecular dynamics simulation. Both compounds are equivalent, according to the ADMET study. This report implies that the virtual screened chemical could be a promising Glioblastoma therapy.
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Affiliation(s)
- Anushka Bhrdwaj
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India
| | - Mohnad Abdalla
- Key Laboratory of Chemical Biology (Ministry of Education), Department of Pharmaceutics, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 Cultural West Road, Jinan, 250012, Shandong Province, People's Republic of China
| | - Aditi Pande
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India
| | - Maddala Madhavi
- Department of Zoology, Osmania University, Hyderabad, 500007, Telangana State, India
| | - Ishita Chopra
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India
| | - Lovely Soni
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India
| | - Natchimuthu Vijayakumar
- Department of Physics, M.Kumarasamy College of Engineering, Karur, 639113, Tamil Nadu, India
| | - Umesh Panwar
- Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India
| | - Mohd Aqueel Khan
- Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India
| | - Leena Prajapati
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India
| | - Deepika Gujrati
- Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Hyderabad, 500016, India
| | - Pranoti Belapurkar
- Department of Biosciences, Acropolis Institute, Indore, 453771, Madhya Pradesh, India
| | - Sarah Albogami
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
| | - Tajamul Hussain
- Research Chair for Biomedical Applications of Nanomaterials, Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
- Center of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Chandrabose Selvaraj
- Center for Transdisciplinary Research, Department of Pharmacology, Saveetha College of Dental and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, 600077, Tamil Nadu, India
| | - Anuraj Nayarisseri
- In silico Research Laboratory, Eminent Biosciences, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India.
- Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India.
- Research Chair for Biomedical Applications of Nanomaterials, Biochemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia.
- Bioinformatics Research Laboratory, LeGene Biosciences Pvt Ltd, 91, Sector-A, Mahalakshmi Nagar, Indore, 452010, Madhya Pradesh, India.
| | - Sanjeev Kumar Singh
- Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, 630003, Tamil Nadu, India.
- Department of Data Sciences, Centre of Biomedical Research, SGPGIMS Campus, Raebareli Rd, Lucknow, 226014, Uttar Pradesh, India.
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Zheng J, Wang L, Zhao S, Zhang W, Chang Y, Dheer A, Gao S, Xu S, Ayasoufi K, Al-kharboosh R, Xie M, Johnson AJ, Dong H, Quiñones-Hinojosa A, Wu LJ. TREM2 mediates MHCII-associated CD4 + T cell response against gliomas. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.05.535697. [PMID: 37066234 PMCID: PMC10104080 DOI: 10.1101/2023.04.05.535697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM2) was recently highlighted as a novel immune suppressive marker in peripheral tumors. The aim of this study was to characterize TREM2 expression in gliomas and investigate its contribution in glioma progression by using Trem2-/- mouse line. Our results showed that higher TREM2 expression was correlated with poor prognosis in glioma patients. Unexpectedly, TREM2 deficiency did not have a beneficial effect in a pre-clinical model of glioma. The increased TREM2 expression in glioma was likely due to increased myeloid cell infiltration, as evidenced by our single-cell analysis showing that almost all microglia and macrophages in gliomas were TREM2+. Furthermore, we found that deficiency of TREM2 impaired tumor-myeloid phagocytosis and MHCII presentation, and significantly reduced CD4+ T cells in tumor hemispheres. Our results revealed a previously unrecognized protective role of tumor-myeloid TREM2 in promoting MHCII-associated CD4+ T cell response against gliomas.
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Affiliation(s)
- Jiaying Zheng
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Lingxiao Wang
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Shunyi Zhao
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Wenjing Zhang
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Yuzhou Chang
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aastha Dheer
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Shan Gao
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Shengze Xu
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Rawan Al-kharboosh
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Manling Xie
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aaron J. Johnson
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
| | - Haidong Dong
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Long-Jun Wu
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
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9
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Ali RH, Alateeqi M, Jama H, Alrumaidhi N, Alqallaf A, Mohammed EM, Almurshed M, Bahzad S. Evaluation of the Oncomine Comprehensive Assay v3 panel for the detection of 1p/19q codeletion in oligodendroglial tumours. J Clin Pathol 2023; 76:103-110. [PMID: 34489310 DOI: 10.1136/jclinpath-2021-207876] [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: 08/09/2021] [Accepted: 08/26/2021] [Indexed: 01/24/2023]
Abstract
AIMS Accurate assessment of 1p/19q codeletion status in diffuse gliomas is of paramount importance for diagnostic, prognostic and predictive purposes. While targeted next generation sequencing (NGS) has been widely implemented for glioma molecular profiling, its role in detecting structural chromosomal variants is less well established, requiring supplementary informatic tools for robust detection. Herein, we evaluated a commercially available amplicon-based targeted NGS panel (Oncomine Comprehensive Assay v3) for the detection of 1p/19q losses in glioma tissues using an Ion Torrent platform and the standard built-in NGS data analysis pipeline solely. METHODS Using as little as 20 ng of DNA from formalin-fixed paraffin-embedded tissues, we analysed 25 previously characterised gliomas for multi-locus copy number losses (CNLs) on 1p and 19q, including 11 oligodendrogliomas (ODG) and 14 non-oligodendroglial (non-ODG) controls. Fluorescence in-situ hybridisation (FISH) was used as a reference standard. RESULTS The software confidently detected combined contiguous 1p/19q CNLs in 11/11 ODGs (100% sensitivity), using a copy number cut-off of ≤1.5 and a minimum of 10 amplicons covering the regions. Only partial non-specific losses were identified in non-ODGs (100% specificity). Copy number averages of ODG and non-ODG groups were significantly different (p<0.001). NGS was concordant with FISH and was superior to it in distinguishing partial from contiguous losses indicative of whole-arm chromosomal deletion. CONCLUSIONS This commercial NGS panel, along with the standard Ion Torrent algorithm, accurately detected 1p/19q losses in ODG samples, obviating the need for specialised custom-made informatic analyses. This can easily be incorporated into routine glioma workflow as an alternative to FISH.
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Affiliation(s)
- Rola H Ali
- Department of Pathology, Kuwait University, Jabriya, Kuwait .,Cytogenetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
| | - Mona Alateeqi
- Molecular Genetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
| | - Hiba Jama
- Molecular Genetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
| | - Noor Alrumaidhi
- Molecular Genetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
| | - Ali Alqallaf
- Cytogenetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
| | | | | | - Shakir Bahzad
- Molecular Genetics Laboratory, Kuwait Cancer Control Center, Shuwaikh, Kuwait
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Genomic and Epigenomic Features of Glioblastoma Multiforme and its Biomarkers. JOURNAL OF ONCOLOGY 2022; 2022:4022960. [PMID: 36185622 PMCID: PMC9519330 DOI: 10.1155/2022/4022960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/14/2022] [Accepted: 09/10/2022] [Indexed: 11/22/2022]
Abstract
Glioblastoma multiforme is a serious and life-threatening tumor of central nervous system, characterized by aggressive behavior, poor prognosis, and low survival rate. Despite of the availability of aggressive antitumor therapeutic regimen for glioblastoma (radiotherapy followed by chemotherapeutic dose), recovery rate, and patients' survival ratio is attributed to the lack of selectivity of therapeutic drugs and less advancement in cancer therapeutics over last decade. Moreover, tools employed in conventional diagnosis of glioblastoma are more invasive and painful, making the process excruciating for the patients. These challenges urge for the need of novel biomarkers for diagnosis, prognosis, and prediction purpose with less invasiveness and more patient compliance. This article will explore the genetic biomarkers isocitrate dehydrogenase mutation, MGMT mutations, and EGFR that can be deployed as an analytical tool in diagnosis of disease and prognosis of a therapeutic course. The review also highlights the importance of employing novel microRNAs as prognostic biomarkers. Recent clinical advancements to treat GBM and to prevent relapse of the disease are also discussed in this article in the hope of finding a robust and effective method to treat GBM.
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11
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Senhaji N, Squalli Houssaini A, Lamrabet S, Louati S, Bennis S. Molecular and Circulating Biomarkers in Patients with Glioblastoma. Int J Mol Sci 2022; 23:7474. [PMID: 35806478 PMCID: PMC9267689 DOI: 10.3390/ijms23137474] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/28/2022] [Accepted: 05/16/2022] [Indexed: 02/04/2023] Open
Abstract
Glioblastoma is the most aggressive malignant tumor of the central nervous system with a low survival rate. The difficulty of obtaining this tumor material represents a major limitation, making the real-time monitoring of tumor progression difficult, especially in the events of recurrence or resistance to treatment. The identification of characteristic biomarkers is indispensable for an accurate diagnosis, the rigorous follow-up of patients, and the development of new personalized treatments. Liquid biopsy, as a minimally invasive procedure, holds promise in this regard. The purpose of this paper is to summarize the current literature regarding the identification of molecular and circulating glioblastoma biomarkers and the importance of their integration as a valuable tool to improve patient care.
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Affiliation(s)
- Nadia Senhaji
- Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes 50000, Morocco
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Asmae Squalli Houssaini
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Salma Lamrabet
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
| | - Sara Louati
- Medical Biotechnology Laboratory, Faculty of Medicine and Pharmacy of Rabat, Mohammed Vth University, Rabat 10000, Morocco;
| | - Sanae Bennis
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco; (A.S.H.); (S.L.); (S.B.)
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12
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Brandner S, McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Leal ES, Faulkner CL, Palmer A, Wragg C, Jefferies S, Vale L, Higgins JPT, Kurian KM. Diagnostic accuracy of 1p/19q codeletion tests in oligodendroglioma: A comprehensive meta-analysis based on a Cochrane systematic review. Neuropathol Appl Neurobiol 2022; 48:e12790. [PMID: 34958131 PMCID: PMC9208578 DOI: 10.1111/nan.12790] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/23/2021] [Accepted: 11/27/2021] [Indexed: 11/29/2022]
Abstract
Codeletion of chromosomal arms 1p and 19q, in conjunction with a mutation in the isocitrate dehydrogenase 1 or 2 gene, is the molecular diagnostic criterion for oligodendroglioma, IDH mutant and 1p/19q codeleted. 1p/19q codeletion is a diagnostic marker and allows prognostication and prediction of the best drug response within IDH-mutant tumours. We performed a Cochrane review and simple economic analysis to establish the most sensitive, specific and cost-effective techniques for determining 1p/19q codeletion status. Fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) test methods were considered as reference standard. Most techniques (FISH, chromogenic in situ hybridisation [CISH], PCR, real-time PCR, multiplex ligation-dependent probe amplification [MLPA], single nucleotide polymorphism [SNP] array, comparative genomic hybridisation [CGH], array CGH, next-generation sequencing [NGS], mass spectrometry and NanoString) showed good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma, irrespective of whether FISH or PCR-based LOH was used as the reference standard. Both NGS and SNP array had a high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. Our findings suggest that G banding is not a suitable test for 1p/19q analysis. Within these limits, considering cost per diagnosis and using FISH as a reference, MLPA was marginally more cost-effective than other tests, although these economic analyses were limited by the range of available parameters, time horizon and data from multiple healthcare organisations.
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Affiliation(s)
- Sebastian Brandner
- Division of Neuropathology, The National Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
- Department of Neurodegenerative Disease, Queen Square Instituite of NeurologyUniversity College LondonLondonUK
| | - Alexandra McAleenan
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Hayley E. Jones
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Ashleigh Kernohan
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Tomos Robinson
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | | | - Claire L. Faulkner
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | | | - Luke Vale
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Julian P. T. Higgins
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Kathreena M. Kurian
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- Bristol Medical School: Brain Tumour Research Centre, Public Health SciencesUniversity of BristolBristolUK
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13
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Massaad E, Tabbarah A, Barmada M, Rbeiz J, Nasser S, Farra C. FISH analyses for 1p and 19q status on gliomas: Reporting an 8 years' experience from a tertiary care center in the Middle East. Ann Diagn Pathol 2022; 57:151899. [DOI: 10.1016/j.anndiagpath.2022.151899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 07/25/2021] [Accepted: 01/03/2022] [Indexed: 12/15/2022]
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14
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McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Spencer Leal E, Faulkner CL, Palmer A, Wragg C, Jefferies S, Brandner S, Vale L, Higgins JP, Kurian KM. Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma. Cochrane Database Syst Rev 2022; 3:CD013387. [PMID: 35233774 PMCID: PMC8889390 DOI: 10.1002/14651858.cd013387.pub2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Complete deletion of both the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q), known as 1p/19q codeletion, is a mutation that can occur in gliomas. It occurs in a type of glioma known as oligodendroglioma and its higher grade counterpart known as anaplastic oligodendroglioma. Detection of 1p/19q codeletion in gliomas is important because, together with another mutation in an enzyme known as isocitrate dehydrogenase, it is needed to make the diagnosis of an oligodendroglioma. Presence of 1p/19q codeletion also informs patient prognosis and prediction of the best drug treatment. The main two tests in use are fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) assays (also known as PCR-based short tandem repeat or microsatellite analysis). Many other tests are available. None of the tests is perfect, although PCR-based LOH is expected to have very high sensitivity. OBJECTIVES To estimate the sensitivity and specificity and cost-effectiveness of different deoxyribonucleic acid (DNA)-based techniques for determining 1p/19q codeletion status in glioma. SEARCH METHODS We searched MEDLINE, Embase and BIOSIS up to July 2019. There were no restrictions based on language or date of publication. We sought economic evaluation studies from the results of this search and using the National Health Service Economic Evaluation Database. SELECTION CRITERIA We included cross-sectional studies in adults with glioma or any subtype of glioma, presenting raw data or cross-tabulations of two or more DNA-based tests for 1p/19q codeletion. We also sought economic evaluations of these tests. DATA COLLECTION AND ANALYSIS We followed procedures outlined in the Cochrane Handbook for Diagnostic Test Accuracy Reviews. Two review authors independently screened titles/abstracts/full texts, performed data extraction, and undertook applicability and risk of bias assessments using QUADAS-2. Meta-analyses used the hierarchical summary ROC model to estimate and compare test accuracy. We used FISH and PCR-based LOH as alternate reference standards to examine how tests compared with those in common use, and conducted a latent class analysis comparing FISH and PCR-based LOH. We constructed an economic model to evaluate cost-effectiveness. MAIN RESULTS We included 53 studies examining: PCR-based LOH, FISH, single nucleotide polymorphism (SNP) array, next-generation sequencing (NGS), comparative genomic hybridisation (CGH), array comparative genomic hybridisation (aCGH), multiplex-ligation-dependent probe amplification (MLPA), real-time PCR, chromogenic in situ hybridisation (CISH), mass spectrometry (MS), restriction fragment length polymorphism (RFLP) analysis, G-banding, methylation array and NanoString. Risk of bias was low for only one study; most gave us concerns about how patients were selected or about missing data. We had applicability concerns about many of the studies because only patients with specific subtypes of glioma were included. 1520 participants contributed to analyses using FISH as the reference, 1304 participants to analyses involving PCR-based LOH as the reference and 262 participants to analyses of comparisons between methods from studies not including FISH or PCR-based LOH. Most evidence was available for comparison of FISH with PCR-based LOH (15 studies, 915 participants): PCR-based LOH detected 94% of FISH-determined codeletions (95% credible interval (CrI) 83% to 98%) and FISH detected 91% of codeletions determined by PCR-based LOH (CrI 78% to 97%). Of tumours determined not to have a deletion by FISH, 94% (CrI 87% to 98%) had a deletion detected by PCR-based LOH, and of those determined not to have a deletion by PCR-based LOH, 96% (CrI 90% to 99%) had a deletion detected by FISH. The latent class analysis suggested that PCR-based LOH may be slightly more accurate than FISH. Most other techniques appeared to have high sensitivity (i.e. produced few false-negative results) for detection of 1p/19q codeletion when either FISH or PCR-based LOH was considered as the reference standard, although there was limited evidence. There was some indication of differences in specificity (false-positive rate) with some techniques. Both NGS and SNP array had high specificity when considered against FISH as the reference standard (NGS: 6 studies, 243 participants; SNP: 6 studies, 111 participants), although we rated certainty in the evidence as low or very low. NGS and SNP array also had high specificity when PCR-based LOH was considered the reference standard, although with much more uncertainty as these results were based on fewer studies (just one study with 49 participants for NGS and two studies with 33 participants for SNP array). G-banding had low sensitivity and specificity when PCR-based LOH was the reference standard. Although MS had very high sensitivity and specificity when both FISH and PCR-based LOH were considered the reference standard, these results were based on only one study with a small number of participants. Real-time PCR also showed high specificity with FISH as a reference standard, although there were only two studies including 40 participants. We found no relevant economic evaluations. Our economic model using FISH as the reference standard suggested that the resource-optimising test depends on which measure of diagnostic accuracy is most important. With FISH as the reference standard, MLPA is likely to be cost-effective if society was willing to pay GBP 1000 or less for a true positive detected. However, as the value placed on a true positive increased, CISH was most cost-effective. Findings differed when the outcome measure changed to either true negative detected or correct diagnosis. When PCR-based LOH was used as the reference standard, MLPA was likely to be cost-effective for all measures of diagnostic accuracy at lower threshold values for willingness to pay. However, as the threshold values increased, none of the tests were clearly more likely to be considered cost-effective. AUTHORS' CONCLUSIONS In our review, most techniques (except G-banding) appeared to have good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma against both FISH and PCR-based LOH as a reference standard. However, we judged the certainty of the evidence low or very low for all the tests. There are possible differences in specificity, with both NGS and SNP array having high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. The economic analysis should be interpreted with caution due to the small number of studies.
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Affiliation(s)
- Alexandra McAleenan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hayley E Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Tomos Robinson
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne , UK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emmelyn Spencer Leal
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire L Faulkner
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Sarah Jefferies
- Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
| | - Sebastian Brandner
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Luke Vale
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kathreena M Kurian
- Bristol Medical School: Brain Tumour Research Centre, Public Health Sciences, University of Bristol, Bristol, UK
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15
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Liu ET, Zhou S, Li Y, Zhang S, Ma Z, Guo J, Guo L, Zhang Y, Guo Q, Xu L. Development and validation of an MRI-based nomogram for the preoperative prediction of tumor mutational burden in lower-grade gliomas. Quant Imaging Med Surg 2022; 12:1684-1697. [PMID: 35284257 PMCID: PMC8899970 DOI: 10.21037/qims-21-300] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/30/2021] [Indexed: 09/25/2023]
Abstract
BACKGROUND High tumor mutational burden (TMB) is an emerging biomarker of sensitivity to immune checkpoint inhibitors. In this study, we aimed to determine the value of magnetic resonance (MR)-based preoperative nomogram in predicting TMB status in lower-grade glioma (LGG) patients. METHODS Overall survival (OS) data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by using the Kaplan-Meier method and time-dependent receiver operating characteristic (tdROC) analysis. The magnetic resonance imaging (MRI) data of 168 subjects obtained from The Cancer Imaging Archive (TCIA) were retrospectively analyzed. The correlation was explored by univariate and multivariate regression analyses. Finally, we performed tenfold cross validation. TMB values were retrieved from the supplementary information of a previously published article. RESULTS The high TMB subtype was associated with the shortest median OS (high vs. low: 50.9 vs. 95.6 months, P<0.05). The tdROC for the high-TMB tumors was 74% (95% CI: 61-86%) for survival at 12 months, and 71% (95% CI: 60-82%) for survival at 24 months. Multivariate logistic regression analysis confirmed that three risk factors [extranodular growth: odds ratio (OR): 8.367, 95% CI: 3.153-22.199, P<0.01; length-width ratio ≥ median: OR: 1.947, 95% CI: 1.025-3.697, P<0.05; frontal lobe: OR: 0.455, 95% CI: 0.229-0.903, P<0.05] were significant independent predictors of high-TMB tumors. The nomogram showed good calibration and discrimination. This model had an area under the curve (AUC) of 0.736 (95% CI: 0.655-0.817). Decision curve analysis (DCA) demonstrated that the nomogram was clinically useful. The average accuracy of the tenfold cross validation was 71.6% for high-TMB tumors. CONCLUSIONS Our results indicated that a distinct OS disadvantage was associated with the high TMB group. In addition, extranodular growth, nonfrontal lobe tumors and length-width ratio ≥ median can be conveniently used to facilitate the prediction of high-TMB tumors.
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Affiliation(s)
- En-Tao Liu
- WeiLun PET Center, Department of Nuclear Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shuqin Zhou
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Yingwen Li
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Siwei Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Zelan Ma
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Junbiao Guo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Lei Guo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Yue Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Quanlai Guo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Li Xu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
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16
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Naidoo M, Jones L, Conboy B, Hamarneh W, D’Souza D, Anthony K, Machado LR. Duchenne muscular dystrophy gene expression is an independent prognostic marker for IDH mutant low-grade glioma. Sci Rep 2022; 12:3200. [PMID: 35217778 PMCID: PMC8881458 DOI: 10.1038/s41598-022-07223-2] [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: 07/20/2021] [Accepted: 02/04/2022] [Indexed: 11/18/2022] Open
Abstract
Alterations in the expression of the Duchenne muscular dystrophy (DMD) gene have been associated with the development, progression and survival outcomes of numerous cancers including tumours of the central nervous system. We undertook a detailed bioinformatic analysis of low-grade glioma (LGG) bulk RNAseq data to characterise the association between DMD expression and LGG survival outcomes. High DMD expression was significantly associated with poor survival in LGG with a difference in median overall survival between high and low DMD groups of over 7 years (P = < 0.0001). In a multivariate model, DMD expression remained significant (P = 0.02) and was an independent prognostic marker for LGG. The effect of DMD expression on overall survival was only apparent in isocitrate dehydrogenase (IDH) mutant cases where non-1p/19q co-deleted LGG patients could be further stratified into high/low DMD groups. Patients in the high DMD group had a median overall survival time almost halve that of the low DMD group. The expression of the individual DMD gene products Dp71, Dp71ab and Dp427m were also significantly associated with overall survival in LGG which have differential biological effects relevant to the pathogenesis of LGG. Differential gene expression and pathway analysis identifies dysregulated biological processes relating to ribosome biogenesis, synaptic signalling, neurodevelopment, morphogenesis and immune pathways. Genes spanning almost the entirety of chromosome 1p are upregulated in patients with high overall DMD, Dp71 and Dp427m expression which worsens survival outcomes for these patients. We confirmed dystrophin protein is variably expressed in LGG tumour tissue by immunohistochemistry and, overall, demonstrate that DMD expression has potential utility as an independent prognostic marker which can further stratify IDH mutant LGG to identify those at risk of poor survival. This knowledge may improve risk stratification and management of LGG.
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Affiliation(s)
- Michael Naidoo
- grid.44870.3fCentre for Physical Activity and Life Sciences, University of Northampton, University Drive, Northampton, NN1 5PH UK
| | - Leanne Jones
- grid.44870.3fCentre for Physical Activity and Life Sciences, University of Northampton, University Drive, Northampton, NN1 5PH UK
| | - Benjamin Conboy
- grid.44870.3fCentre for Physical Activity and Life Sciences, University of Northampton, University Drive, Northampton, NN1 5PH UK
| | - Wael Hamarneh
- grid.500651.7Northampton General Hospital NHS Trust, Northampton, NN1 5BD UK
| | - Darwin D’Souza
- grid.59734.3c0000 0001 0670 2351Icahn School of Medicine at Mount Sinai, New York City, USA
| | - Karen Anthony
- grid.44870.3fCentre for Physical Activity and Life Sciences, University of Northampton, University Drive, Northampton, NN1 5PH UK
| | - Lee R. Machado
- grid.44870.3fCentre for Physical Activity and Life Sciences, University of Northampton, University Drive, Northampton, NN1 5PH UK ,grid.9918.90000 0004 1936 8411Department of Genetics and Genome Science, University of Leicester, Leicester, LE1 7RH UK
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17
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Wang Z, Zhang J, Zhang H, Dai Z, Liang X, Li S, Peng R, Zhang X, Liu F, Liu Z, Yang K, Cheng Q. CMTM Family Genes Affect Prognosis and Modulate Immunocytes Infiltration in Grade II/III Glioma Patients by Influencing the Tumor Immune Landscape and Activating Associated Immunosuppressing Pathways. Front Cell Dev Biol 2022; 10:740822. [PMID: 35252165 PMCID: PMC8891612 DOI: 10.3389/fcell.2022.740822] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/03/2022] [Indexed: 12/21/2022] Open
Abstract
Lower-grade glioma (LGG) is one of the most common primary tumor types in adults. The chemokine-like factor (CKLF)-like Marvel transmembrane domain-containing (CMTM) family is widely expressed in the immune system and can modulate tumor progression. However, the role of the CMTM family in LGG remains unknown. A total of 508 LGG patients from The Cancer Genome Atlas (TCGA) database were used as a training cohort, and 155 LGG patients from the Chinese Glioma Genome Atlas (CGGA) array database, 142 LGG patients from the CGGA RNA-sequencing database, and 168 LGG patients from the GSE108474 database were used as the validation cohorts. Patients were subdivided into two groups using consensus clustering. The ENET algorithm was applied to build a scoring model based on the cluster model. Finally, ESTIMATE, CIBERSORT, and xCell algorithms were performed to define the tumor immune landscape. The expression levels of the CMTM family genes were associated with glioma grades and isocitrate dehydrogenase (IDH) status. Patients in cluster 2 and the high-risk score group exhibited a poor prognosis and were enriched with higher grade, wild-type IDH (IDH-WT), 1p19q non-codeletion, MGMT promoter unmethylation, and IDH-WT subtype. Patients in cluster 1 and low-risk score group were associated with high tumor purity and reduced immune cell infiltration. Enrichment pathways analysis indicated that several essential pathways involved in tumor progression were associated with the expression of CMTM family genes. Importantly, PD-1, PD-L1, and PD-L2 expression levels were increased in cluster 2 and high-risk groups. Therefore, the CMTM family contributes to LGG progression through modulating tumor immune landscape.
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Affiliation(s)
- Zeyu Wang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Hao Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xisong Liang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Shuwang Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Renjun Peng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xun Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Clinical Diagnosis and Therapy Center for Glioma of Xiangya Hospital, Central South University, Changsha, China
| | - Kui Yang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Quan Cheng, ; Kui Yang,
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Clinical Diagnosis and Therapy Center for Glioma of Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Quan Cheng, ; Kui Yang,
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Xiao Y, Yang K, Wang Z, Zhao M, Deng Y, Ji W, Zou Y, Qian C, Liu Y, Xiao H, Liu H. CD44-Mediated Poor Prognosis in Glioma Is Associated With M2-Polarization of Tumor-Associated Macrophages and Immunosuppression. Front Surg 2022; 8:775194. [PMID: 35187044 PMCID: PMC8850306 DOI: 10.3389/fsurg.2021.775194] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/29/2021] [Indexed: 12/31/2022] Open
Abstract
Background Glioma is the most common primary brain tumor with a poor prognosis. Key genes that are negatively related to prognosis may provide the therapy targets to cure glioma. To clarify the role of CD44 in glioma, we explored its function at bulk-transcriptome, spatial and single-cell transcriptome levels. Methods In total, expression profiles with survival data of whole-grade glioma from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA), RNA-seq data with anatomic information of glioblastoma (GBM) from the Ivy Glioblastoma Atlas Project, RNA-sequencing (RNA-seq) data from recurrent GBM receiving adjuvant anti-PD-1 immunotherapy accessed through GSE121810, and single-cell RNA-seq data of GBM under accession GSE103224 were enrolled in this study. CD44-specific findings were further analyzed by R language. Results CD44 is positively correlated with WHO grade of malignancy and is negatively related to prognosis in glioma. Meanwhile, CD44 predominantly expresses in GBM mesenchymal subtype, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses reveal that CD44 positively coexpressed genes are closely related to glioma immunity. Moreover, CD44+ cells mainly distribute in perinecrotic region with high expression of immune factors. At single-cell resolution, only malignant tumor cells, tumor-associated macrophages (TAMs), and T cells express CD44 in GBM. CD44+ malignant tumor cells are in mesenchymal-1-like (MES1-like) cellular state, and CD44+ TAMs are in M2 phenotype. CD44+ T cells have high expression of both PD-1 and PD-L1. CD44 and its directly interacted inhibitory immunomodulators are upregulated in patients with nonresponder recurrent GBM treated with PD-1 blockade therapy. Conclusion Our work demonstrates that CD44, a new M2 TAM biomarker, is involved in immune suppressor and promote glioma progression in glioma microenvironment. These results expand our understanding of CD44-specific clinical and immune features in glioma.
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Affiliation(s)
- Yong Xiao
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Kun Yang
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Zhen Wang
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Mengjie Zhao
- Department of Neuro-Psychiatric Institute, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, CT, United States
| | - Wei Ji
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- Department of Neurosurgery, Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Yuanjie Zou
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Chunfa Qian
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yong Liu
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Hong Xiao
- Department of Neuro-Psychiatric Institute, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- *Correspondence: Hong Xiao
| | - Hongyi Liu
- Department of Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- Hongyi Liu
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Zreik J, Kerezoudis P, Alvi MA, Yolcu YU, Kizilbash SH. Disparities in Reported Testing for 1p/19q Codeletion in Oligodendroglioma and Oligoastrocytoma Patients: An Analysis of the National Cancer Database. Front Oncol 2021; 11:746844. [PMID: 34858822 PMCID: PMC8630738 DOI: 10.3389/fonc.2021.746844] [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: 07/24/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
Purpose A chromosomal 1p/19q codeletion was included as a required diagnostic component of oligodendrogliomas in the 2016 World Health Organization (WHO) classification of central nervous system tumors. We sought to evaluate disparities in reported testing for 1p/19q codeletion among oligodendroglioma and oligoastrocytoma patients before and after the guidelines. Methods The National Cancer Database (NCDB) was queried for patients with histologically-confirmed WHO grade II/III oligodendroglioma or oligoastrocytoma from 2011-2017. Adjusted odds of having a reported 1p/19q codeletion test for patient- and hospital-level factors were calculated before (2011-2015) and after (2017) the guidelines. The adjusted likelihood of receiving adjuvant treatment (chemotherapy and/or radiotherapy) based on reported testing was also evaluated. Results Overall, 6,404 patients were identified. The reported 1p/19q codeletion testing rate increased from 45.8% in 2011 to 59.8% in 2017. From 2011-2015, lack of insurance (OR 0.77; 95% CI 0.62-0.97;p=0.025), lower zip code-level educational attainment (OR 0.62; 95% CI 0.49-0.78;p<0.001), and Northeast (OR 0.68; 95% CI 0.57-0.82;p<0.001) or Southern (OR 0.62; 95% CI 0.49-0.79;p<0.001) facility geographic region were negatively associated with reported testing. In 2017, Black race (OR 0.49; 95% CI 0.26-0.91;p=0.024) and Northeast (OR 0.50; 95% CI 0.30-0.84;p=0.009) or Southern (OR 0.42; 95% CI 0.22-0.78;p=0.007) region were negatively associated with reported testing. Patients with a reported test were more likely to receive adjuvant treatment (OR 1.73; 95% CI 1.46-2.04;p<0.001). Conclusion Despite the 2016 WHO guidelines, disparities in reported 1p/19q codeletion testing by geographic region persisted while new disparities in race/ethnicity were identified, which may influence oligodendroglioma and oligoastrocytoma patient management.
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Affiliation(s)
- Jad Zreik
- College of Medicine, Central Michigan University, Mount Pleasant, MI, United States
| | | | - Mohammed Ali Alvi
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Yagiz U Yolcu
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Sani H Kizilbash
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
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20
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Śledzińska P, Bebyn MG, Furtak J, Kowalewski J, Lewandowska MA. Prognostic and Predictive Biomarkers in Gliomas. Int J Mol Sci 2021; 22:ijms221910373. [PMID: 34638714 PMCID: PMC8508830 DOI: 10.3390/ijms221910373] [Citation(s) in RCA: 119] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/14/2021] [Accepted: 09/22/2021] [Indexed: 12/17/2022] Open
Abstract
Gliomas are the most common central nervous system tumors. New technologies, including genetic research and advanced statistical methods, revolutionize the therapeutic approach to the patient and reveal new points of treatment options. Moreover, the 2021 World Health Organization Classification of Tumors of the Central Nervous System has fundamentally changed the classification of gliomas and incorporated many molecular biomarkers. Given the rapid progress in neuro-oncology, here we compile the latest research on prognostic and predictive biomarkers in gliomas. In adult patients, IDH mutations are positive prognostic markers and have the greatest prognostic significance. However, CDKN2A deletion, in IDH-mutant astrocytomas, is a marker of the highest malignancy grade. Moreover, the presence of TERT promoter mutations, EGFR alterations, or a combination of chromosome 7 gain and 10 loss upgrade IDH-wildtype astrocytoma to glioblastoma. In pediatric patients, H3F3A alterations are the most important markers which predict the worse outcome. MGMT promoter methylation has the greatest clinical significance in predicting responses to temozolomide (TMZ). Conversely, mismatch repair defects cause hypermutation phenotype predicting poor response to TMZ. Finally, we discussed liquid biopsies, which are promising diagnostic, prognostic, and predictive techniques, but further work is needed to implement these novel technologies in clinical practice.
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Affiliation(s)
- Paulina Śledzińska
- Department of Thoracic Surgery and Tumors, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 85-067 Torun, Poland
- The F. Lukaszczyk Oncology Center, Molecular Oncology and Genetics Department, Innovative Medical Forum, 85-796 Bydgoszcz, Poland
| | - Marek G Bebyn
- The F. Lukaszczyk Oncology Center, Molecular Oncology and Genetics Department, Innovative Medical Forum, 85-796 Bydgoszcz, Poland
- Faculty of Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Jacek Furtak
- Department of Neurosurgery, 10th Military Research Hospital and Polyclinic, 85-681 Bydgoszcz, Poland
- Franciszek Lukaszczyk Oncology Center, Department of Neurooncology and Radiosurgery, 85-796 Bydgoszcz, Poland
| | - Janusz Kowalewski
- Department of Thoracic Surgery and Tumors, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 85-067 Torun, Poland
| | - Marzena A Lewandowska
- Department of Thoracic Surgery and Tumors, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 85-067 Torun, Poland
- The F. Lukaszczyk Oncology Center, Molecular Oncology and Genetics Department, Innovative Medical Forum, 85-796 Bydgoszcz, Poland
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21
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Kaminska B, Ochocka N, Segit P. Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas-Challenges and Perspectives. Cells 2021; 10:2264. [PMID: 34571910 PMCID: PMC8470971 DOI: 10.3390/cells10092264] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/20/2021] [Accepted: 08/28/2021] [Indexed: 12/13/2022] Open
Abstract
Single-cell technologies allow precise identification of tumor composition at the single-cell level, providing high-resolution insights into the intratumoral heterogeneity and transcriptional activity of cells in the tumor microenvironment (TME) that previous approaches failed to capture. Malignant gliomas, the most common primary brain tumors in adults, are genetically heterogeneous and their TME consists of various stromal and immune cells playing an important role in tumor progression and responses to therapies. Previous gene expression or immunocytochemical studies of immune cells infiltrating TME of malignant gliomas failed to dissect their functional phenotypes. Single-cell RNA sequencing (scRNA-seq) and cytometry by time-of-flight (CyTOF) are powerful techniques allowing quantification of whole transcriptomes or >30 protein targets in individual cells. Both methods provide unprecedented resolution of TME. We summarize the findings from these studies and the current state of knowledge of a functional diversity of immune infiltrates in malignant gliomas with different genetic alterations. A precise definition of functional phenotypes of myeloid and lymphoid cells might be essential for designing effective immunotherapies. Single-cell omics studies have identified crucial cell subpopulations and signaling pathways that promote tumor progression, influence patient survival or make tumors vulnerable to immunotherapy. We anticipate that the widespread usage of single-cell omics would allow rational design of oncoimmunotherapeutics.
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Affiliation(s)
- Bozena Kaminska
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 02-093 Warsaw, Poland; (N.O.); (P.S.)
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22
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Su C, Xu S, Lin D, He H, Chen Z, Damen FC, Ke C, Lv X, Cai K. Multi-parametric Z-spectral MRI may have a good performance for glioma stratification in clinical patients. Eur Radiol 2021; 32:101-111. [PMID: 34272981 DOI: 10.1007/s00330-021-08175-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/13/2021] [Accepted: 06/28/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVES To comprehensively and noninvasively risk-stratify glioma grade, isocitrate dehydrogenase (IDH) genotype, and 1p/19q codeletion status using multi-contrast Z-spectral magnetic resonance imaging (MRI). METHODS One hundred and thirteen patients with glioma were retrospectively included. Multiple contrasts contributing to Z-spectra, including direct saturation of water (DSW), semi-solid magnetization transfer contrast (MTC), amide proton transfer (APT) effect, aliphatic nuclear Overhauser effect, and the 2-ppm chemical exchange saturation transfer peak (CEST@2ppm), were fitted with five individual Lorentzian functions. Z-spectral contrasts were compared according to the three most important risk stratifications: tumor grade, IDH genotype, and 1p/19q codeletion status. We further investigated the differentiation of 1p/19q codeletion status within IDH mutant gliomas. The stratification performance of individual Z-spectral contrasts and their combination was quantified using receiver operating characteristic (ROC) analyses. RESULTS DSW was significantly different within grade, IDH genotypes, and 1p/19q codeletion status. APT was significantly different with grade and IDH mutation, but not with 1p/19q subtypes. CEST@2ppm was only significantly different with 1p/19q codeletion subtypes. DSW and CEST@2ppm were the two Z-spectral contrasts able to differentiate 1p/19q codeletion subtypes within IDH mutant gliomas. For differentiating glioma grades using ROC analyses, DSW achieved the largest AUC. For differentiating IDH genotypes, DSW and APT achieved comparable AUCs. DSW was the best metric for differentiating 1p/19q codeletion status within all patients and within the IDH mutant patients. Combining all Z-spectral contrasts improved sensitivity and specificity for all risk stratifications. CONCLUSIONS Multi-parametric Z-spectral MRI serves as a useful, comprehensive, and noninvasive imaging technique for glioma stratification in clinical patients. KEY POINTS • Multiple contrasts contributing to Z-spectra were separately fitted with Lorentzian functions. • Z-spectral contrasts were compared within the three most important and common tumor risk stratifications for gliomas: tumor grade, IDH genotype, and 1p/19q codeletion status. • The stratification performance of individual Z-spectral contrasts and their combination was quantified using receiver operating characteristic analyses, which found Z-spectral MRI to be a useful and comprehensive imaging biomarker for glioma stratification.
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Affiliation(s)
- Changliang Su
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China
| | - Shijie Xu
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China
| | - Danlin Lin
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China
| | - Haoqiang He
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China
| | - Zhenghe Chen
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China
| | - Frederick C Damen
- Department of Radiology College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Chao Ke
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China.
| | - Xiaofei Lv
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, 510060, Guangzhou, China.
| | - Kejia Cai
- Department of Radiology College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
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23
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Molecular and Circulating Biomarkers of Brain Tumors. Int J Mol Sci 2021; 22:ijms22137039. [PMID: 34210107 PMCID: PMC8268709 DOI: 10.3390/ijms22137039] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 06/27/2021] [Accepted: 06/27/2021] [Indexed: 02/07/2023] Open
Abstract
Brain tumors are the most common malignant primary intracranial tumors of the central nervous system. They are often recognized too late for successful therapy. Minimally invasive methods are needed to establish a diagnosis or monitor the response to treatment of CNS tumors. Brain tumors release molecular information into the circulation. Liquid biopsies collect and analyze tumor components in body fluids, and there is an increasing interest in the investigation of liquid biopsies as a substitute for tumor tissue. Tumor-derived biomarkers include nucleic acids, proteins, and tumor-derived extracellular vesicles that accumulate in blood or cerebrospinal fluid. In recent years, circulating tumor cells have also been identified in the blood of glioblastoma patients. In this review of the literature, the authors highlight the significance, regulation, and prevalence of molecular biomarkers such as O6-methylguanine-DNA methyltransferase, epidermal growth factor receptor, and isocitrate dehydrogenase. Herein, we critically review the available literature on plasma circulating tumor cells (CTCs), cell-free tumors (ctDNAs), circulating cell-free microRNAs (cfmiRNAs), and circulating extracellular vesicles (EVs) for the diagnosis and monitoring of brain tumor. Currently available markers have significant limitations. While much research has been conductedon these markers, there is still a significant amount that we do not yet understand, which may account for some conflicting reports in the literature.
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24
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The distribution of isocitrate dehydrogenase mutations, O6-methylguanine-DNA methyltransferase promoter methylation, and 1p/19q codeletion in different glioma subtypes and their correlation with glioma prognosis in Taiwanese population: A single center study. INTERDISCIPLINARY NEUROSURGERY 2021. [DOI: 10.1016/j.inat.2020.100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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25
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Shee K, Chambers M, Hughes EG, Almiron DA, Deharvengt SJ, Green D, Lefferts JA, Andrew AS, Hickey WF, Tsongalis GJ. Molecular genetic profiling reveals novel association between FLT3 mutation and survival in glioma. J Neurooncol 2020; 148:473-480. [PMID: 32583303 DOI: 10.1007/s11060-020-03567-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 06/16/2020] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Recent molecular characterization of gliomas has uncovered somatic gene variation and DNA methylation changes that are associated with etiology, prognosis, and therapeutic response. Here we describe genomic profiling of gliomas assessed for associations between genetic mutations and patient outcomes, including overall survival (OS) and recurrence-free survival (RFS). METHODS Mutations in a 50-gene cancer panel, 1p19q co-deletion, and MGMT promoter methylation (MGMT methylation) status were obtained from tumor tissue of 293 glioma patients. Multivariable regression models for overall survival (OS) and recurrence-free survival (RFS) were constructed for MGMT methylation, 1p19q co-deletion, and gene mutations controlling for age, treatment status, and WHO grade. RESULTS Mutational profiles of gliomas significantly differed based on WHO Grade, such as high prevalence of BRAF V600E, IDH1, and PTEN mutations in WHO Grade I, II/III, and IV tumors, respectively. In multivariate regression analysis, MGMT methylation and IDH1 mutations were significantly associated with improved OS (HR = 0.44, p = 0.0004 and HR = 0.21, p = 0.007, respectively), while FLT3 and TP53 mutations were significantly associated with poorer OS (HR = 19.46, p < 0.0001 and HR = 1.67, p = 0.014, respectively). MGMT methylation and IDH1 mutations were the only significant alterations associated with improved RFS in the model (HR = 0.42, p < 0.0001 and HR = 0.37, p = 0.002, respectively). These factors were then included in a combined model, which significantly exceeded the predictive value of the base model alone (age, surgery, radiation, chemo, grade) (likelihood ratio test OS p = 1.64 × 10-8 and RFS p = 3.80 × 10-7). CONCLUSIONS This study highlights the genomic landscape of gliomas in a single-institution cohort and identifies a novel association between FLT3 mutation and OS in gliomas.
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Affiliation(s)
- Kevin Shee
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany.
| | - Meagan Chambers
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany
| | - Edward G Hughes
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany
| | | | - Sophie J Deharvengt
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany.,Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany
| | - Donald Green
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany
| | - Joel A Lefferts
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany.,Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany
| | - Angeline S Andrew
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany.,Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, Germany
| | - William F Hickey
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany.,Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany
| | - Gregory J Tsongalis
- Geisel School of Medicine At Dartmouth, Hanover, NH, Germany. .,Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, 03756, Lebanon, NH, Germany.
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26
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Improved 3-year survival rates for glioblastoma multiforme are associated with trends in treatment: analysis of the national cancer database from 2004 to 2013. J Neurooncol 2020; 148:69-79. [DOI: 10.1007/s11060-020-03469-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 03/23/2020] [Indexed: 12/22/2022]
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27
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Yang J, Wang L, Xu Z, Wu L, Liu B, Wang J, Tian D, Xiong X, Chen Q. Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma Multiforme. Front Genet 2020; 11:253. [PMID: 32296458 PMCID: PMC7136556 DOI: 10.3389/fgene.2020.00253] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 03/02/2020] [Indexed: 12/13/2022] Open
Abstract
Background Gliomas are the most common intracranial tumors and are classified as I-IV. Among them, glioblastoma multiforme (GBM) is the most common invasive glioma with a poor prognosis. New molecular biomarkers that can predict clinical outcomes in GBM patients must be identified, which will help comprehend their pathogenesis and supply personalized treatment. Our research revealed four powerful survival indicators in GBM by reanalyzing microarray data and genetic sequencing data in public databases. Moreover, it unraveled new potential therapeutic targets which could help improve the survival time and quality of life of GBM patients. Materials and Methods To identify prognostic signatures in GBMs, we analyzed the gene profiling data of GBM and standard brain samples from the Gene Expression Omnibus, including four datasets and RNA sequencing data from The Cancer Genome Atlas (TCGA) containing 152 glioblastoma tissues. We performed the differential analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, weighted gene co-expression network analysis (WGCNA) and Cox regression analysis. Results After differential analysis in GSE12657, GSE15824, GSE42656 and GSE50161, overlapping differentially expressed genes were identified. We identified 110 up-regulated DEGs and 75 down-regulated DEGs in the GBM samples. Significantly enriched subclasses of the GO classification of these genes included mitotic sister chromatid separation, mitotic nuclear division and so on. In KEGG pathway analysis, the most abundant terms were ECM-receptor interaction and protein digestion and absorption. WGCNA analysis was performed on these 185 DEGs in 152 glioblastoma samples obtained from TCGA, and gene co-expression networks were constructed. We then performed a multivariate Cox analysis and established a Cox proportional hazards regression model using the top 20 genes significantly correlated with survival time. We identified a four-protein prognostic signature that could divide patients into high-risk and low-risk groups. Increased expression of SLC12A5, CCL2, IGFBP2, and PDPN was associated with increased risk scores. Finally, the K-M curves confirmed that these genes could be used as independent predictors of survival in patients with glioblastoma. Conclusion Our analytical study identified a set of potential biomarkers that could predict survival and may contribute to successful treatment of GBM patients.
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Affiliation(s)
- Ji'an Yang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Long Wang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhou Xu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Liquan Wu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Baohui Liu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Junmin Wang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Daofeng Tian
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiaoxing Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qianxue Chen
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
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Belgers V, Numan T, Kulik SD, Hillebrand A, de Witt Hamer PC, Geurts JJG, Reijneveld JC, Wesseling P, Klein M, Derks J, Douw L. Postoperative oscillatory brain activity as an add-on prognostic marker in diffuse glioma. J Neurooncol 2020; 147:49-58. [PMID: 31953611 PMCID: PMC7075827 DOI: 10.1007/s11060-019-03386-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 12/27/2019] [Indexed: 12/13/2022]
Abstract
Introduction Progression-free survival (PFS) in glioma patients varies widely, even when stratifying for known predictors (i.e. age, molecular tumor subtype, presence of epilepsy, tumor grade and Karnofsky performance status). Neuronal activity has been shown to accelerate tumor growth in an animal model, suggesting that brain activity may be valuable as a PFS predictor. We investigated whether postoperative oscillatory brain activity, assessed by resting-state magnetoencephalography is of additional value when predicting PFS in glioma patients. Methods We included 27 patients with grade II–IV gliomas. Each patient’s oscillatory brain activity was estimated by calculating broadband power (0.5–48 Hz) in 56 epochs of 3.27 s and averaged over 78 cortical regions of the Automated Anatomical Labeling atlas. Cox proportional hazard analysis was performed to test the predictive value of broadband power towards PFS, adjusting for known predictors by backward elimination. Results Higher broadband power predicted shorter PFS after adjusting for known prognostic factors (n = 27; HR 2.56 (95% confidence interval (CI) 1.15–5.70); p = 0.022). Post-hoc univariate analysis showed that higher broadband power also predicted shorter overall survival (OS; n = 38; HR 1.88 (95% CI 1.00–3.54); p = 0.038). Conclusions Our findings suggest that postoperative broadband power is of additional value in predicting PFS beyond already known predictors. Electronic supplementary material The online version of this article (10.1007/s11060-019-03386-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Vera Belgers
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Tianne Numan
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Shanna D Kulik
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Arjan Hillebrand
- Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Philip C de Witt Hamer
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Neurosurgery, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Jeroen J G Geurts
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Jaap C Reijneveld
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Pieter Wesseling
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Pathology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Martin Klein
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Medical Psychology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Jolanda Derks
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Linda Douw
- Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands.
- Brain Tumor Center, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands.
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th street, Charlestown, MA, USA.
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A review of predictive, prognostic and diagnostic biomarkers for brain tumours: towards personalised and targeted cancer therapy. JOURNAL OF RADIOTHERAPY IN PRACTICE 2019. [DOI: 10.1017/s1460396919000955] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
AbstractBackground:Brain tumours are relatively rare disease but present a large medical challenge as there is currently no method for early detection of the tumour and are typically not diagnosed until patients have progressed to symptomatic stage which significantly decreases chances of survival and also minimises treatment efficacy. However, if brain cancers can be diagnosed at early stages and also if clinicians have the potential to prospectively identify patients likely to respond to specific treatments, then there is a very high potential to increase patients’ treatment efficacy and survival. In recent years, there have been several investigations to identify biomarkers for brain cancer risk assessment, early detection and diagnosis, the likelihood of identifying which group of patients will benefit from a particular treatment and monitoring patient response to treatment.Materials and methods:This paper reports on a review of 21 current clinical and emerging biomarkers used in risk assessment, screening for early detection and diagnosis, and monitoring the response of treatment of brain cancers.Conclusion:Understanding biomarkers, molecular mechanisms and signalling pathways can potentially lead to personalised and targeted treatment via therapeutic targeting of specific genetic aberrant pathways which play key roles in malignant brain tumour formation. The future holds promising for the use of biomarker analysis as a major factor for personalised and targeted brain cancer treatment, since biomarkers have the potential to measure early disease detection and diagnosis, the risk of disease development and progression, improved patient stratification for various treatment paradigms, provide accurate information of patient response to a specific treatment and inform clinicians about the likely outcome of a brain cancer diagnosis independent of the treatment received.
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Cagney DN, Sul J, Huang RY, Ligon KL, Wen PY, Alexander BM. The FDA NIH Biomarkers, EndpointS, and other Tools (BEST) resource in neuro-oncology. Neuro Oncol 2019; 20:1162-1172. [PMID: 29294069 DOI: 10.1093/neuonc/nox242] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
In early 2016, the FDA and the National Institutes of Health (NIH) published the first version of the glossary included in the Biomarkers, EndpointS, and other Tools (BEST) resource.1 The BEST glossary was constructed to harmonize and clarify terms used in translational science and medical product development and to provide a common language used for communication by those agencies. It is considered a "living" document that will be updated in the future. This review will discuss the main biomarker and clinical outcome categories contained in the BEST glossary as they apply to neuro-oncology, as well as the overlapping and hierarchical relationships among them.
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Affiliation(s)
- Daniel N Cagney
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Joohee Sul
- Office of Hematology and Oncology Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Keith L Ligon
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Patrick Y Wen
- Center For Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Brian M Alexander
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts
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McAleenan A, Jones HE, Kernohan A, Faulkner CL, Palmer A, Dawson S, Wragg C, Jefferies S, Brandner S, Vale L, Higgins JPT, Kurian KM. Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma. Hippokratia 2019. [DOI: 10.1002/14651858.cd013387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Alexandra McAleenan
- University of Bristol; Population Health Sciences, Bristol Medical School; 39 Whatley Road Bristol UK BS8 2PS
| | - Hayley E Jones
- University of Bristol; Population Health Sciences, Bristol Medical School; 39 Whatley Road Bristol UK BS8 2PS
| | - Ashleigh Kernohan
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Claire L Faulkner
- Southmead Hospital; Bristol Genetics Laboratory, Pathology Sciences; North Bristol NHS Trust Bristol UK BS10 5NB
| | - Abigail Palmer
- Southmead Hospital; Bristol Genetics Laboratory, Pathology Sciences; North Bristol NHS Trust Bristol UK BS10 5NB
| | - Sarah Dawson
- University of Bristol; Population Health Sciences, Bristol Medical School; 39 Whatley Road Bristol UK BS8 2PS
| | - Christopher Wragg
- Southmead Hospital; Bristol Genetics Laboratory, Pathology Sciences; North Bristol NHS Trust Bristol UK BS10 5NB
| | - Sarah Jefferies
- Addenbrooke's Hospital; Department of Oncology; Hills Road Cambridge UK CB2 0QQ
| | - Sebastian Brandner
- The National Hospital for Neurology and Neurosurgery; Division of Neuropathology and Department of Neurodegeneration; University College Hospital NHS Foundation Trust and UCL Institute of Neurology Queen Square London UK WC1N 3BG
| | - Luke Vale
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Julian P T Higgins
- University of Bristol; Population Health Sciences, Bristol Medical School; 39 Whatley Road Bristol UK BS8 2PS
| | - Kathreena M Kurian
- University of Bristol; Bristol Medical School: Brain Tumour Research Centre, Public Health Sciences; Oakfield House, Oakfield Grove Bristol UK BS8 2BN
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Liu Z, Zhang T, Jiang H, Xu W, Zhang J. Conventional MR-based Preoperative Nomograms for Prediction of IDH/1p19q Subtype in Low-Grade Glioma. Acad Radiol 2019; 26:1062-1070. [PMID: 30393056 DOI: 10.1016/j.acra.2018.09.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 09/16/2018] [Accepted: 09/24/2018] [Indexed: 12/29/2022]
Abstract
RATIONALE AND OBJECTIVES To develop nomogram models incorporating MR and clinical features for preoperative prediction of isocitrate dehydrogenase (IDH)/1p19q subtype in patients with lower-grade gliomas (LGG). MATERIALS AND METHODS We classified LGG (149 patients) into three categories: (1) IDH mutation and 1p/19q codeletion, (2) IDH mutation and no 1p/19q codeletion, and (3) wild-type IDH. The correlation between clinical and MR features and IDH/1p19q subtype was analyzed. RESULTS (1) Multivariate analysis showed that hemorrhage (yes vs no odds ratio [OR]: 12.775), enhancing margin (poorly vs well defined OR: 17.87), and SVZ (SVZ+ vs SVZ- OR: 0.304 were associated with a higher incidence of IDHmut-codel status (All p < 0.05). (2) Multivariate analysis showed that age (≥40 years vs <40 years OR: 0.139), hemorrhage (yes vs no OR: 0.095), enhancing margin (poorly vs well defined OR: 0.275), volume (>60 cm3 vs ≤60 cm3 OR: 5.111), and the shortest distance from the tumor centroid to the edge of the lateral ventricles (CS) (>30 mm vs ≤30 mm OR: 3.766) were associated with a higher incidence of IDHmut-noncodel status. (3) Multivariate analysis showed age (≥40 years vs <40 years OR: 17.311), tumor site (other vs frontal lobe OR: 4.696), volume (>60 cm3 vs ≤60 cm3 OR: 0.188), CS (>30 mm vs ≤30 mm OR: 0.285), necrosis (yes vs no OR: 0.193), and proportion CE tumor (>5% vs ≤5% OR: 5.253) were associated with a higher incidence of IDHwt status. Three nomogram models showed good discrimination (all area under the curve > 0.8) and calibration. CONCLUSION Clinical and MR features may therefore be used to facilitate the preoperative prediction of LGG IDH/1p19q subtype.
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Hu YJ, Zhang LF, Ding C, Chen D, Chen J. Hypofractionated stereotactic radiotherapy combined with chemotherapy or not in the management of recurrent malignant gliomas: A systematic review and meta-analysis. Clin Neurol Neurosurg 2019; 183:105401. [PMID: 31260910 DOI: 10.1016/j.clineuro.2019.105401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 06/07/2019] [Accepted: 06/24/2019] [Indexed: 02/05/2023]
Abstract
Hypofractionated stereotactic radiotherapy (HFSRT) is a common salvage treatment for recurrent malignant glioma (MG). However, it remains controversial whether the combination of HFSRT and chemotherapy could improve survival for patients with recurrent MG compared to HFSRT alone. The present systematic review and meta-analysis aims to investigate this question, and tries to determine to what extent the addition of chemotherapy to HFSRT affects survival. A systematic review was performed to analyse the survival for patients treated with HFSRT combined with chemotherapy or not. Hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) were pooled with random effects; and standard mean difference (MD) with 95% CIs for OS were pooled using the same strategy. A total of 7 studies including 388 patients with recurrent MG were eligible for our study. The OS survival of patients receiving combination therapy ranged from 8.7 to 23 months, and the median OS of patients underwent HFSRT ranged from 3.9 to 12 months. The meta-analyses resulted in the pooled HR of 0.44 (95% CI 0.30-0.65, p < 0.0001) (Cochran Q statistic 4.70, P = 0.320, I2 = 14.8%) and pooled standard MD of 0.80 months (95% CI 0.41-1.18, p < 0.001) (Cochran Q statistic 10.16, p = 0.71, I2 = 50.8%). The present study suggests that HFSRT + chemotherapy confers a slight survival improvement for patients with recurrent MG as compared with sole HFSRT management. To draw a more solid conclusion, greater investigation is warranted.
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Affiliation(s)
- Y J Hu
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - L F Zhang
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - C Ding
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - D Chen
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - J Chen
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
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Georgakis MK, Tsivgoulis G, Pourtsidis A, Petridou ET. Gliomatosis Cerebri Among Children and Adolescents: An Individual-Patient Data Meta-analysis of 182 Patients. J Child Neurol 2019; 34:394-401. [PMID: 30887873 DOI: 10.1177/0883073819836551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Gliomatosis cerebri is a rare but fatal widespread infiltrating central nervous system tumor. We aimed to describe diagnostic and prognostic features of gliomatosis cerebri among children and adolescents. METHODS We conducted a systematic literature review for published case reports and case series on patients with histologically confirmed gliomatosis cerebri and extracted data on an individual patient level for those aged 0-18 years. Multivariable Cox proportional hazard models were fit for overall survival. RESULTS Following screening of 274 published studies, 182 gliomatosis cerebri patients (63% males) aged 0-18 years with individual-level data available were identified. The most common presenting symptoms were seizures (52%), focal motor deficits (36%), and headache (30%). Imaging showed bilateral hemisphere involvement in 60%, infratentorial infiltration in 39%, and a focal contrast-enhanced mass (type II gliomatosis cerebri) in 27% of cases. Anaplastic astrocytoma was the most common histologic subtype of pediatric gliomatosis cerebri, whereas MGMT promoter methylation, IDH1 mutations, and codeletion of 1p/19q were less common molecular aberrations, as compared to adult gliomatosis cerebri. In the multivariable analyses, age at diagnosis >4 years, extended central nervous system infiltration, coordination abnormalities, and cognitive decline were predictors of worse outcome. Conversely, IDH1 mutations were associated with prolonged overall survival. Chemotherapy and extended surgical resection were associated with improved outcome, whereas radiotherapy was not associated with overall survival and was inferior to chemotherapy alone. CONCLUSION Gliomatosis cerebri among children and adolescents presents distinct histopathologic and molecular features compared to adults. However, similar associations of chemotherapy, and, when feasible, extended surgical resection, with favorable outcomes were noted among the 2 age groups.
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Affiliation(s)
- Marios K Georgakis
- 1 Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Tsivgoulis
- 2 Second Department of Neurology, "Attikon" University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- 3 Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Apostolos Pourtsidis
- 4 Department of Paediatric Hematology and Oncology, Panagiotis and Aglaia Kyriakou Children's Hospital, Athens, Greece
| | - Eleni Th Petridou
- 1 Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- 5 Unit of Clinical Epidemiology, Karolinska Institute, Stockholm, Sweden
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Khan M, Muzumdar D, Shiras A. Attenuation of Tumor Suppressive Function of FBXO16 Ubiquitin Ligase Activates Wnt Signaling In Glioblastoma. Neoplasia 2018; 21:106-116. [PMID: 30530053 PMCID: PMC6288984 DOI: 10.1016/j.neo.2018.11.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 11/12/2018] [Accepted: 11/12/2018] [Indexed: 12/23/2022] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive and lethal types of brain tumor. Despite the advancements in conventional or targeted therapies, median survival of GBM patients is less than 12 months. Amongst various signaling pathways aberrantly activated in glioma, active Wnt/β-catenin signaling pathway is one of the crucial oncogenic players. β-catenin, an important mediator of Wnt signaling pathway, gets phosphorylated by GSK3β complex. Phosphorylated β-catenin is specifically recognized by β-Trcp1, a F-box/WD40-repeat protein and with the help of Skp1 it plays a central role in recruiting phosphorylated β-catenin for degradation. In GBM, expression of β-TrCP1 and its affinity for β catenin is reported to be very low. Hence, we investigated whether any other members of the E3 ubiquitin ligase family could be involved in degradation of nuclear β-catenin. We here report that FBXO16, a component of SCF E3 ubiquitin ligase complex, is an interacting protein partner for β-catenin and mediates its degradation. Next, we show that FBXO16 functions as a tumor suppressor in GBM. Under normal growth conditions, FBXO16 proteasomally degrades β-catenin in a GSK-3β independent manner. Specifically, the C-terminal region of FBXO16 targets the nuclear β-catenin for degradation and inhibits TCF4/LEF1 dependent Wnt signaling pathway. The nuclear fraction of β-catenin undergoes K-48 linked poly-ubiquitination in presence of FBXO16. In summary, we show that due to low expression of FBXO16, the β-catenin is not targeted in glioma cells leading to its nuclear accumulation resulting in active Wnt signaling. Activated Wnt signaling potentiates the glioma cells toward a highly proliferative and malignant state.
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Affiliation(s)
- Mohsina Khan
- National Centre for Cell Science (NCCS), SP Pune University Campus, Ganeshkhind, Pune, 411007, India
| | - Dattatraya Muzumdar
- Department of Neurosurgery, King Edward Memorial Hospital, Parel, Mumbai 400 012. India
| | - Anjali Shiras
- National Centre for Cell Science (NCCS), SP Pune University Campus, Ganeshkhind, Pune, 411007, India.
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Georgakis MK, Tsivgoulis G, Spinos D, Liaskas A, Herrlinger U, Petridou ET. Prognostic Factors and Survival of Gliomatosis Cerebri: A Systematic Review and Meta-Analysis. World Neurosurg 2018; 120:e818-e854. [DOI: 10.1016/j.wneu.2018.08.173] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 08/21/2018] [Accepted: 08/22/2018] [Indexed: 01/29/2023]
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Nguyen HS, Shabani S, Awad AJ, Kaushal M, Doan N. Molecular Markers of Therapy-Resistant Glioblastoma and Potential Strategy to Combat Resistance. Int J Mol Sci 2018; 19:ijms19061765. [PMID: 29899215 PMCID: PMC6032212 DOI: 10.3390/ijms19061765] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 06/11/2018] [Accepted: 06/13/2018] [Indexed: 12/22/2022] Open
Abstract
Glioblastoma (GBM) is the most common primary malignant tumor of the central nervous system. With its overall dismal prognosis (the median survival is 14 months), GBMs demonstrate a resounding resilience against all current treatment modalities. The absence of a major progress in the treatment of GBM maybe a result of our poor understanding of both GBM tumor biology and the mechanisms underlying the acquirement of treatment resistance in recurrent GBMs. A comprehensive understanding of these markers is mandatory for the development of treatments against therapy-resistant GBMs. This review also provides an overview of a novel marker called acid ceramidase and its implication in the development of radioresistant GBMs. Multiple signaling pathways were found altered in radioresistant GBMs. Given these global alterations of multiple signaling pathways found in radioresistant GBMs, an effective treatment for radioresistant GBMs may require a cocktail containing multiple agents targeting multiple cancer-inducing pathways in order to have a chance to make a substantial impact on improving the overall GBM survival.
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Affiliation(s)
- Ha S Nguyen
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
- Faculty of Neurosurgery, California Institute of Neuroscience, Thousand Oaks, CA 91360, USA.
| | - Saman Shabani
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Ahmed J Awad
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus 11941, Palestine.
| | - Mayank Kaushal
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Ninh Doan
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
- Department of Neurosurgery, Mitchell Cancer Institute, University of South Alabama, Mobile, AL 36688, USA.
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Kuga D, Hata N, Akagi Y, Amemiya T, Sangatsuda Y, Hatae R, Yoshimoto K, Mizoguchi M, Iihara K. The Effectiveness of Salvage Treatments for Recurrent Lesions of Oligodendrogliomas Previously Treated with Upfront Chemotherapy. World Neurosurg 2018; 114:e735-e742. [PMID: 29551724 DOI: 10.1016/j.wneu.2018.03.069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND We previously reported a favorable outcome in a case series of patients with oligodendrogliomas treated with upfront chemotherapy; however, their progression-free survival (PFS) was relatively short considering their long-term overall survival (OS). This suggests that salvage treatments after progression were effective. However, the clinical impact of salvage treatments on outcomes of patients with recurrent oligodendrogliomas has not been precisely investigated. METHODS Our case series included 28 patients with newly diagnosed isocitrate dehydrogenase-mutant and 1p/19q-codeleted oligodendroglial tumors treated with upfront procarbazine, nimustine, and vincristine. Clinical outcomes and patterns of recurrence were reviewed retrospectively. RESULTS The median follow-up period of enrolled patients was 90.2 months. Disease progression occurred in 15 patients (53.6%), whereas the cancer appeared as local relapse alone in 14 (93.3%) patients. Salvage treatments were performed for all local relapses; thereafter, most of the subsequent progressions also appeared as resectable local relapses. The 5-year PFS and OS rates from the first progression were 30.3% and 92.9%, respectively. These relatively short PFS and favorable OS indicated the effectiveness of salvage treatment even after multiple progression. Thus far, 9 (60%) of 15 patients are deterioration-free with locally controlled lesions or complete remission; however, clinical deterioration was observed in 6 patients, and 4 of them experienced dissemination. CONCLUSIONS In isocitrate dehydrogenase-mutant and 1p/19q-codeleted oligodendrogliomas, most of the tumors that demonstrated early progression appeared as local, nonlethal lesions, which have been well-controlled by salvage treatments. A precise diagnosis of oligodendrogliomas using molecular parameters is crucial to receive the best benefit from salvage treatment.
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Affiliation(s)
- Daisuke Kuga
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Nobuhiro Hata
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yojiro Akagi
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takeo Amemiya
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yuhei Sangatsuda
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ryusuke Hatae
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masahiro Mizoguchi
- Department of Neurosurgery, Kitakyushu Municipal Medical Center, Fukuoka, Japan
| | - Koji Iihara
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Chung LK, Pelargos PE, Chan AM, Demos JV, Lagman C, Sheppard JP, Nguyen T, Chang YL, Hojat SA, Prins RM, Liau LM, Nghiemphu L, Lai A, Cloughesy TF, Yong WH, Gordon LK, Wadehra M, Yang I. Tissue microarray analysis for epithelial membrane protein-2 as a novel biomarker for gliomas. Brain Tumor Pathol 2017; 35:1-9. [PMID: 28887715 DOI: 10.1007/s10014-017-0300-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 08/28/2017] [Indexed: 12/16/2022]
Abstract
Epithelial membrane protein-2 (EMP2) expression is noted in many human cancers. We evaluated EMP2 as a biomarker in gliomas. A large tissue microarray of lower grade glioma (WHO grades II-III, n = 19 patients) and glioblastoma (GBM) (WHO grade IV, n = 50 patients) was stained for EMP2. EMP2 expression was dichotomized to low or high expression scores and correlated with clinical data. The mean EMP2 expression was 1.68 in lower grade gliomas versus 2.20 in GBMs (P = 0.01). The percentage of samples with high EMP2 expression was greater in GBMs than lower grade gliomas (90.0 vs. 52.6%, P = 0.001). No significant difference was found between median survival among patients with GBM tumors exhibiting high EMP2 expression and survival of those with low EMP2 expression (8.38 vs. 10.98 months, P = 0.39). However, EMP2 expression ≥2 correlated with decreased survival (r = -0.39, P = 0.001). The EMP2 expression level also correlated with Ki-67 positivity (r = 0.34, P = 0.008). The mortality hazard ratio for GBM patients with EMP2 score of 3 or higher was 1.92 (CI 0.69-5.30). Our findings suggest that elevated EMP2 expression is associated with GBM. With other biomarkers, EMP2 may have use as a molecular target for the diagnosis and treatment of gliomas.
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Affiliation(s)
- Lawrance K Chung
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Panayiotis E Pelargos
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Ann M Chan
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, 924 Westwood Blvd, Seventh Floor, Los Angeles, CA, 90095, USA
| | - Joanna V Demos
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Carlito Lagman
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - John P Sheppard
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Thien Nguyen
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Yu-Ling Chang
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, 924 Westwood Blvd, Seventh Floor, Los Angeles, CA, 90095, USA
| | - Seyed A Hojat
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, 924 Westwood Blvd, Seventh Floor, Los Angeles, CA, 90095, USA
| | - Robert M Prins
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Linda M Liau
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 8-684 Factor Building, Los Angeles, CA, 90095, USA
| | - Leia Nghiemphu
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Albert Lai
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Timothy F Cloughesy
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - William H Yong
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, 924 Westwood Blvd, Seventh Floor, Los Angeles, CA, 90095, USA
| | - Lynn K Gordon
- Department of Ophthalmology, University of California, Los Angeles, 100 Stein Plaza, Los Angeles, CA, 90095, USA
| | - Madhuri Wadehra
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, 924 Westwood Blvd, Seventh Floor, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 8-684 Factor Building, Los Angeles, CA, 90095, USA
| | - Isaac Yang
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, Los Angeles, CA, 90095, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 8-684 Factor Building, Los Angeles, CA, 90095, USA.
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Sasmita AO, Wong YP, Ling APK. Biomarkers and therapeutic advances in glioblastoma multiforme. Asia Pac J Clin Oncol 2017; 14:40-51. [PMID: 28840962 DOI: 10.1111/ajco.12756] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 07/04/2017] [Indexed: 02/06/2023]
Abstract
Glioblastoma multiforme (GBM) is a malignant tumor within the brain. Generally classified as primary and secondary with several different subtypes, ample molecular biomarkers have risen throughout the years which have garnered the attention of researchers. The advancements in genomics and proteomics have allowed researchers to gather prominent molecular biomarkers. All these biomarkers are gathered by means of biopsy or bodily fluid sample collection and are quantitatively analyzed by polymerase chain reaction coupled with other computational technologies. This review highlights the significance, regulation and prevalence of molecular biomarkers such as O6 -methylguanine-DNA methyltransferase, epidermal growth factor receptor vIII, isocitrate dehydrogenase mutation and several others which expressed differently in different types and molecular subtypes of GBM. The discoveries and roles of GBM-specific microRNAs including miR-21 and miR-10b as biomarkers with promising prognostic values were also delineated. The role and mechanism of biomarkers in GBM tumorigenesis are essential in the development of therapy for patients suffering from the disease itself. Thus, this review also discusses the mechanisms, effects and limitations of therapy such as temozolomide, viral gene transfer, biomarker-based vaccines or even engineered T cells for more specific responses. Biomarkers have displayed a high value and could eventually be utilized as drug targets. It is hoped that by combining different aspects of the disease which present with different biomarkers could lead to the development of a robust, effective and innovative take on GBM therapy.
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Affiliation(s)
- Andrew Octavian Sasmita
- Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia
| | - Ying Pei Wong
- Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia
| | - Anna Pick Kiong Ling
- Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia
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41
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Zacharia BE, DiStefano N, Mader MM, Chohan MO, Ogilvie S, Brennan C, Gutin P, Tabar V. Prior malignancies in patients harboring glioblastoma: an institutional case-study of 2164 patients. J Neurooncol 2017; 134:245-251. [PMID: 28551847 DOI: 10.1007/s11060-017-2512-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 05/22/2017] [Indexed: 12/18/2022]
Abstract
More patients are surviving long-term following a cancer diagnosis and as such are at risk for second malignancies. As the most common primary brain tumor, glioblastoma (GBM) will not infrequently occur in this population. No study has examined the incidence of prior cancer (PC) in patients harboring GBM. Here we evaluate the epidemiological features, as well as the molecular and clinical characteristics of GBM as a second cancer. Utilizing a web-based cancer data management system at our institution, we identified 2164 patients harboring GBM from 2007 to 2014. We collected baseline demographic, molecular, and clinical data. Univariate analysis was performed to compare the cohort of GBM patients with and without PC diagnosis. Survival differences were analyzed with Kaplan-Meier and log-rank testing. A Cox-proportional hazards model was fit for multivariable analysis. 170 patients (7.9%) harboring GBM had a PC diagnosis. The median interval between diagnoses was 79 months. The most common pathologies were breast (18.8%) and prostate (18.8%) cancer. Patients with a PC were older at the time of GBM diagnosis than those without PC (66 vs. 59 years, p < 0.001) and were more likely to be white (88.2 vs. 72.8%, p < 0.001). Patients with PC were more likely to harbor an EGFR (20 vs. 12.3%, p < 0.001) or MGMT mutation (17.6 vs. 11.6%, p < 0.001). Median survival was 13 months in the PC cohort and 15 months in the cohort without PC (p = NS). Age, KPS, and diagnosis year were the only factors which influenced outcome in multivariable analysis. Patients who develop GBM following a prior malignancy constitute ~8% of patients with GBM. Despite significant molecular differences these two cohorts appear to have a similar overall prognosis and clinical course. Thus, whether or not a patient harbors a malignancy prior to diagnosis of GBM should not exclude him or her from aggressive treatment or for consideration of novel investigational therapies.
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Affiliation(s)
- Brad E Zacharia
- Department of Neurosurgery, Penn State University, Milton S. Hershey Medical Center, Hershey, PA, USA. .,Penn State Hershey Neurosurgery, 30 Hope Drive, EC 110, Hershey, PA, 17033, USA.
| | - Natalie DiStefano
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marius M Mader
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Muhammad O Chohan
- Department of Neurosurgery, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA
| | - Shahiba Ogilvie
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cameron Brennan
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Philip Gutin
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viviane Tabar
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Contribution of 1p, 19q, 9p and 10q Automated Analysis by FISH to the Diagnosis and Prognosis of Oligodendroglial Tumors According to WHO 2016 Guidelines. PLoS One 2016; 11:e0168728. [PMID: 28030632 PMCID: PMC5193469 DOI: 10.1371/journal.pone.0168728] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 12/05/2016] [Indexed: 01/19/2023] Open
Abstract
Objective To study the feasibility and the diagnostic and prognostic interest of automated analysis of 1p, 19q, 9p and 10q status by FISH technique in oligodendroglial tumors. Methods We analyzed a retrospective series of 33 consecutive gliomas with oligodendroglial histology (originally diagnosed as 24 oligodendrogliomas and 9 oligoastrocytomas). For all cases, automated FISH analysis of 1p, 19q, 9p and 10q status were performed and compared to clinical and histological data, ATRX, IDH1R132H and alpha-internexin status (studied by immunohistochemistry) and overall survival (OS). Manual analysis of 9p and 10q status were also performed and compared to automated analysis to verify the concordance of the two methods. Results The 33 gliomas were reclassified into 13 low-grade oligodendrogliomas (OII), 10 anaplastic oligodendrogliomas (OIII), 3 diffuse astrocytomas (AII), 3 anaplastic astrocytomas (AIII) and 4 glioblastomas (GBM) according to the WHO 2016 histological criteria. The 1p and/or 19q imbalanced status were restricted to astrocytomas with no correlation to their grade or their OS. Chromosome 9p deletion was restricted to OIII (70%) and GBM (100%) and was correlated with a shorter OS in the total cohort (p = 0.0007), the oligodendroglioma cohort (p = 0.03) and the astrocytoma cohort (p = 0.001). Concordance between 9p manual and automated analysis was satisfactory (81%, κ = 0.69). Chromosome 10q deletion was restricted to GBMs (50%) and was correlated with a poor OS in both the total cohort (p = 0.003) and the astrocytoma (AS) cohort (p = 0.04). Concordance between manual and automated analysis was satisfactory (79%, κ = 0.62). Conclusion Automated analysis of 1p, 19q, 9p and 10q status by FISH is a reliable technique which allows for refined classification of oligodendroglial tumors. 1p and/or 19q imbalanced status is evidence of astrocytic differentiation. 9p deletion is found in high grade oligodendrogliomas and astrocytomas with a poor OS. 10q is related to GBM status and a poor OS.
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Basaran R, Uslu S, Gucluer B, Onoz M, Isik N, Tiryaki M, Yakicier C, Sav A, Elmaci I. Impact of 1p/19q codeletion on the diagnosis and prognosis of different grades of meningioma. Br J Neurosurg 2016; 30:571-6. [PMID: 27173440 DOI: 10.1080/02688697.2016.1181155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Meningiomas are one of the most common tumours to affect the central nervous system. Genetic mutations are important in meningeal tumourigenesis, progression and prognosis. In this study, we aimed to examine the effect of 1p/19q deletion on the diagnosis and prognosis of meningioma subtypes using the fluorescence in situ hybridization (FISH) method. METHODS Twenty-four patients with meningioma were retrospectively studied. Tumour samples were obtained from 10 typical, 11 atypical and three anaplastic malignant meningiomas. The most representative tumour sections were screened for 1p/19q deletion using the FISH method. RESULTS Of the 24 patients, eight were women (33.3%) and 16 (66.7%) were men. The mean age was 56.6 years. The higher-grade meningioma was usually seen in males and had a higher rate of deletion on 1p (p = 0.001). There was a statistically significant difference between the grades and the rate of deletion on 19q (p = 0.042) and between the grades and the rates of polysomy, monosomy and amplification on 19q (p = 0.002; p = 0.001; p = 0.002, respectively). There was no statistical difference between 1p/19q codeletion and the grades of meningioma (p > 0.05). We detected higher level of Ki-67 in the condition of codeletion but did not find a statistical difference (p = 0.0553). CONCLUSION Deletion on 1p, as well as deletion, polysomy, monosomy and amplification on 19q, are detected more frequently in high grade meningiomas. This amplification is most likely due to the amplification of oncogenes.
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Affiliation(s)
- Recep Basaran
- a Department of Neurosurgery , Istanbul Medeniyet University, Goztepe Education and Research Hospital , Istanbul , Turkey
| | - Serap Uslu
- b Department of Histology and Embryology , Istanbul Medeniyet University School of Medicine , Istanbul , Turkey
| | - Berrin Gucluer
- c Department of Pathology , Istanbul Medeniyet University, Goztepe Education and Research Hospital , Istanbul , Turkey
| | - Mustafa Onoz
- d Department of Neurosurgery , Memorial Hospital , Istanbul , Turkey
| | - Nejat Isik
- a Department of Neurosurgery , Istanbul Medeniyet University, Goztepe Education and Research Hospital , Istanbul , Turkey
| | - Mehmet Tiryaki
- e Department of Neurosurgery , Dr. Lutfi Kirdar Kartal Education and Research Hospital , Istanbul , Turkey
| | - Cengiz Yakicier
- f Department of Molecular Genetics, Acibadem University School of Medicine , Istanbul , Turkey
| | - Aydin Sav
- g Department of Pathology, Acibadem University School of Medicine , Istanbul , Turkey
| | - Ilhan Elmaci
- d Department of Neurosurgery , Memorial Hospital , Istanbul , Turkey
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44
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Ellingson BM, Nguyen HN, Lai A, Nechifor RE, Zaw O, Pope WB, Yong WH, Nghiemphu PL, Liau LM, Cloughesy TF. Contrast-enhancing tumor growth dynamics of preoperative, treatment-naive human glioblastoma. Cancer 2016; 122:1718-27. [PMID: 26998740 DOI: 10.1002/cncr.29957] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Revised: 01/11/2016] [Accepted: 01/27/2016] [Indexed: 11/10/2022]
Abstract
BACKGROUND Little is known about the natural growth characteristics of untreated glioblastoma before surgical or therapeutic intervention, because patients are rapidly treated after preliminary radiographic diagnosis. Understanding the growth characteristics of uninhibited human glioblastoma may be useful for characterizing changes in response to therapy. Thus, the objective of the current study was to explore tumor growth dynamics in a cohort of patients with untreated glioblastoma before surgical or therapeutic intervention. METHODS Ninety-five patients with glioblastoma who had measurable enhancing disease on >2 magnetic resonance imaging scans before surgery were identified. Tumor growth rates were quantified in 4 different ways (the percentage change per day, the absolute rate of change per day, the estimated volumetric doubling time, and the radial expansion rate) using 3 different approaches (bidirectional product, enhancing disease, and total lesion volume). RESULTS The median volumetric doubling time was 21.1 days, the percentage change in tumor volume was 2.1% per day, and the rate of change in total lesion volume was 0.18 cc per day. The length of follow-up between magnetic resonance imaging examinations should be >28 days to detect progressive disease with high specificity. Small initial tumor sizes (<3 cm in greatest dimension) are biased toward a large percentage change at follow-up. CONCLUSIONS Presurgical, treatment-naive glioblastoma growth dynamics can be estimated in a variety of ways with similar results. The percentage changes in tumor size and volume depend on baseline tumor size and the time interval between scans. Cancer 2016;122:1718-27. © 2016 American Cancer Society.
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Affiliation(s)
- Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Biomedical Physics, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Bioengineering, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Huytram N Nguyen
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Albert Lai
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Ruben E Nechifor
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Okkar Zaw
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - William H Yong
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Phioanh L Nghiemphu
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Linda M Liau
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Neurosurgery, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California
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Karsy M, Neil JA, Guan J, Mahan MA, Mark MA, Colman H, Jensen RL. A practical review of prognostic correlations of molecular biomarkers in glioblastoma. Neurosurg Focus 2015; 38:E4. [PMID: 25727226 DOI: 10.3171/2015.1.focus14755] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Despite extensive efforts in research and therapeutics, achieving longer survival for patients with glioblastoma (GBM) remains a formidable challenge. Furthermore, because of rapid advances in the scientific understanding of GBM, communication with patients regarding the explanations and implications of genetic and molecular markers can be difficult. Understanding the important biomarkers that play a role in GBM pathogenesis may also help clinicians in educating patients about prognosis, potential clinical trials, and monitoring response to treatments. This article aims to provide an up-to-date review that can be discussed with patients regarding common molecular markers, namely O-6-methylguanine-DNA methyltransferase (MGMT), isocitrate dehydrogenase 1 and 2 (IDH1/2), p53, epidermal growth factor receptor (EGFR), platelet-derived growth factor receptor (PDGFR), phosphatase and tensin homolog (PTEN), phosphoinositide 3-kinase (PI3K), and 1p/19q. The importance of the distinction between a prognostic and a predictive biomarker as well as clinical trials regarding these markers and their relevance to clinical practice are discussed.
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Affiliation(s)
- Michael Karsy
- Department of Neurosurgery, Clinical Neuroscience Center; and
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46
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Pinkham M, Telford N, Whitfield G, Colaco R, O'Neill F, McBain C. FISHing Tips: What Every Clinician Should Know About 1p19q Analysis in Gliomas Using Fluorescence in situ Hybridisation. Clin Oncol (R Coll Radiol) 2015; 27:445-53. [DOI: 10.1016/j.clon.2015.04.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 04/01/2015] [Accepted: 04/07/2015] [Indexed: 11/25/2022]
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47
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Molecularly based management of gliomas in clinical practice. Neurol Sci 2015; 36:1551-7. [PMID: 26194534 DOI: 10.1007/s10072-015-2332-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2014] [Accepted: 07/08/2015] [Indexed: 10/23/2022]
Abstract
Histological subtyping and grading of malignancy are the cornerstone of the present World Health Organization (WHO) Classification of CNS tumors. However, among diffuse gliomas of the adult, patients with histologically identical tumors may have different outcomes. As the genomic analysis of these tumors has progressed, it has become clear that specific molecular features transcend histologically defined variants, and may become markers of prognostic and/or predictive value. At the present time, the number of molecular biomarkers with confirmed clinical relevance (MGMT promoter methylation, 1p/19q codeletion, IDH1/2 mutations) remains limited, but new technologies will hopefully provide new candidates requiring rigorous validation in well-designed clinical trials.
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48
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Hayashi S, Sasaki H, Kimura T, Abe T, Nakamura T, Kitamura Y, Miwa T, Kameyama K, Hirose Y, Yoshida K. Molecular-genetic and clinical characteristics of gliomas with astrocytic appearance and total 1p19q loss in a single institutional consecutive cohort. Oncotarget 2015; 6:15871-81. [PMID: 25991674 PMCID: PMC4599243 DOI: 10.18632/oncotarget.3869] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Accepted: 04/02/2015] [Indexed: 12/18/2022] Open
Abstract
The prognostic significance of 1p19q loss in astrocytic gliomas has been inconclusive.We collected 57 gliomas with total 1p19q loss from among 218 cases of WHO grade-II/III gliomas operated at Keio University Hospital between 1990 and 2010. These tumors were classified as oligodendroglial or "astrocytic" by a WHO-criteria-based institutional diagnosis. Chromosomal copy number aberrations (CNAs), IDH 1/2 mutations, MGMT promoter methylation, and expression of p53 and ATRX were assessed. Survival outcome was compared between the two histological groups.Of the 57 codeleted gliomas, 37, 16, and four were classified as oligodendroglial, "astrocytic", and unclassified, respectively. Comparative genomic hybridization revealed that although chromosome 7q/7 gain was more frequent in "astrocytic" gliomas, other CNAs occurred at a similar frequency in both groups. None of the "astrocytic" gliomas showed p53 accumulation, and ATRX loss was found in three of the 15 "astrocytic" gliomas. The estimated overall survival (OS) curves in the patients with codeleted oligodendroglial and "astrocytic" gliomas overlapped, and the median OS was 187 and 184 months, respectively. Histopathological re-assessment by a single pathologist showed consistent results.Gliomas with total 1p19q loss with "astrocytic" features have molecular and biological characteristics comparable to those of oligodendroglial tumors.
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Affiliation(s)
- Saeko Hayashi
- Department of Neurosurgery, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Hikaru Sasaki
- Department of Neurosurgery, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Tokuhiro Kimura
- Department of Pathology, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
- Present address: Department of Pathology, Yamaguchi University Graduate, School of Medicine, Minami-kogushi, Ube, Yamaguchi, Japan
| | - Takayuki Abe
- Center for Clinical Research, Department of Preventive Medicine and Public Health, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Takumi Nakamura
- Department of Neurosurgery, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yohei Kitamura
- Department of Neurosurgery, Saiseikai Utsunomiya Hospital, Takebayashi, Utsunomiya, Tochigi, Japan
| | - Tomoru Miwa
- Department of Neurosurgery, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Kaori Kameyama
- Division of Diagnostic Pathology, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yuichi Hirose
- Department of Neurosurgery, Fujita Health University School of Medicine, Kutsukake-cho, Toyoake, Aichi, Japan
| | - Kazunari Yoshida
- Department of Neurosurgery, Keio University School of Medicine, Shinanomachi, Shinjuku-ku, Tokyo, Japan
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Olson K, Sands SA. Cognitive training programs for childhood cancer patients and survivors: A critical review and future directions. Child Neuropsychol 2015; 22:509-36. [PMID: 26070928 DOI: 10.1080/09297049.2015.1049941] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
A robust literature has developed documenting neurocognitive late effects in survivors of leukemia and central nervous system (CNS) tumors, the most frequent cancer diagnoses of childhood. Patterns of late effects include deficits in attention and concentration, working memory, processing speed, and executive function, as well as other domains. As childhood cancer survivors are living longer, ameliorating deficits both in broad and specific neurocognitive domains has been increasingly recognized as an endeavor of paramount importance. Interventions to improve cognitive functioning were first applied to the field of pediatric oncology in the 1990s, based on strategies used effectively with adults who had sustained a traumatic brain injury (TBI). Compilation and modification of these techniques has led to the development of structured cognitive training programs, with the effectiveness and feasibility of such interventions currently an active area of research. Consequently, the purpose of this critical review is to: (1) review cognitive training programs intended to remediate or prevent neurocognitive deficits in pediatric cancer patients and survivors, (2) critically analyze training program strengths and weaknesses to inform practice, and (3) provide recommendations for future directions of clinical care and research.
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Affiliation(s)
- Katie Olson
- a Children's National Medical Center , Divisions of Hematology and Oncology , Washington , DC , USA
| | - Stephen A Sands
- b Columbia University Medical Center, Herbert Irving Division of Child & Adolescent Oncology , New York , NY , USA
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Heidenreich B, Rachakonda PS, Hosen I, Volz F, Hemminki K, Weyerbrock A, Kumar R. TERT promoter mutations and telomere length in adult malignant gliomas and recurrences. Oncotarget 2015; 6:10617-33. [PMID: 25797251 PMCID: PMC4496380 DOI: 10.18632/oncotarget.3329] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 02/09/2015] [Indexed: 02/03/2023] Open
Abstract
In this report on 303 gliomas we show the highest frequency of TERT promoter mutations in gliobastomas (80%) followed by oligodendrogliomas (70%) and astrocytomas (39%). We observed positive association between TERT promoter and IDH mutations in oligodendroglial tumors (OR = 26.3; 95% CI 2.5-250.2) and inverse association in primary glioblastomas (OR = 0.13; 95% CI 0.03-0.58). Tumors with TERT promoter mutations compared to those without showed increased TERT transcription; we also showed difference in the transcription levels due to the two main mutations. Tumors with TERT promoter mutations had shorter telomeres than those without. The patients with only TERT promoter mutations showed worst survival (median survival 14.6 months) and patients with both IDH and TERT promoter mutations showed best survival (246.5 months). In patients with astrocytoma, the TERT promoter mutations only associated with poor survival (P < 0.0001); IDH mutations and 1p/19q deletions associated with increased survival (P = 0.0004). TERT promoter mutations in low grade gliomas associated with reduced progression free survival (HR 10.2; 95% CI 1.9 - 55.9). While our data affirm the role of TERT promoter mutations in glial tumors, effects on transcription and telomere length emphasise the importance of telomere biology in disease genesis and outcome.
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Affiliation(s)
- Barbara Heidenreich
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
| | | | - Ismail Hosen
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
| | - Florian Volz
- Department of Neurosurgery, University Medical Center Freiburg, Freiburg 79106, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Lund 22100, Sweden
| | - Astrid Weyerbrock
- Department of Neurosurgery, University Medical Center Freiburg, Freiburg 79106, Germany
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg 69120, Germany
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