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Snider S, De Domenico P, Roncelli F, Bisoglio A, Braga M, Ghelfi A, Barzaghi LR, Mura C, Mortini P, Gagliardi F. Pre‑operative mean platelet volume is associated with overall survival in patients with IDH‑wildtype glioblastoma undergoing maximal safe resection. Oncol Lett 2024; 28:576. [PMID: 39397801 PMCID: PMC11467840 DOI: 10.3892/ol.2024.14709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/13/2024] [Indexed: 10/15/2024] Open
Abstract
Glioblastoma (GBM) is the most common, fast-growing, and aggressive malignant primary CNS tumor, with a survival time of ~15 months despite the use of surgery and adjuvant treatments. In recent years, there has been a growing interest in exploring the potential contribution of hemostasis and platelet activation in GBM biology. The present study assessed the association between the pre-operative coagulation profile [as indicated by prothrombin time (PT) ratio and activated partial thromboplastin time (aPTT) ratio], overall platelets (PLT) count and the mean platelet volume (MPV) with tumoral characteristics and overall survival in patients with isocitrate dehydrogenase-wildtype (IDH-wt) GBM.
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Affiliation(s)
- Silvia Snider
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Pierfrancesco De Domenico
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Francesca Roncelli
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Andrea Bisoglio
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Matteo Braga
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Anna Ghelfi
- Department of Neurosurgery, Duke University, Durham, NC 27701, USA
| | - Lina Raffaella Barzaghi
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Cinzia Mura
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Pietro Mortini
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
| | - Filippo Gagliardi
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), I-20132 Milan, Italy
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Hao J, Huang Z, Zhang S, Song K, Wang J, Gao C, Fang Z, Zhang N. Deciphering the multifaceted roles and clinical implications of 2-hydroxyglutarate in cancer. Pharmacol Res 2024; 209:107437. [PMID: 39349213 DOI: 10.1016/j.phrs.2024.107437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 09/13/2024] [Accepted: 09/24/2024] [Indexed: 10/02/2024]
Abstract
Increasing evidence indicates that 2-hydroxyglutarate (2HG) is an oncometabolite that drives tumour formation and progression. Due to mutations in isocitrate dehydrogenase (IDH) and the dysregulation of other enzymes, 2HG accumulates significantly in tumour cells. Due to its structural similarity to α-ketoglutarate (αKG), accumulated 2HG leads to the competitive inhibition of αKG-dependent dioxygenases (αKGDs), such as KDMs, TETs, and EGLNs. This inhibition results in epigenetic alterations in both tumour cells and the tumour microenvironment. This review comprehensively discusses the metabolic pathways of 2HG and the subsequent pathways influenced by elevated 2HG levels. We will delve into the molecular mechanisms by which 2HG exerts its oncogenic effects, particularly focusing on epigenetic modifications. This review will also explore the various methods available for the detection of 2HG, emphasising both current techniques and emerging technologies. Furthermore, 2HG shows promise as a biomarker for clinical diagnosis and treatment. By integrating these perspectives, this review aims to provide a comprehensive overview of the current understanding of 2HG in cancer biology, highlight the importance of ongoing research, and discuss future directions for translating these findings into clinical applications.
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Affiliation(s)
- Jie Hao
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Ziyi Huang
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Siyue Zhang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Kefan Song
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Juncheng Wang
- Advanced Medical Research Institute, Shandong University, Jinan, China
| | - Chao Gao
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Zhiqing Fang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Ning Zhang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China.
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3
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Wang Z, Shu J, Feng L. T2-FLAIR imaging-based radiomic features for predicting early postoperative recurrence of grade II gliomas. Future Oncol 2024:1-8. [PMID: 39268928 DOI: 10.1080/14796694.2024.2397327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 08/23/2024] [Indexed: 09/15/2024] Open
Abstract
Aim: To develop and validate a T2-weighted-fluid attenuated inversion recovery (T2-FLAIR) images-based radiomics model for predicting early postoperative recurrence (within 1 year) in patients with low-grade gliomas (LGGs).Methods: A retrospective analysis was performed by collecting clinical, pathological and magnetic resonance imaging (MRI) data from patients with LGG between 2017 and 2022. Regions of interest were delineated and radiomic features were extracted from T2-FLAIR images using 3D-Slicer software. To minimize redundant features, the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm was used. Patients were categorized into two groups based on recurrence status: the recurrence group (RG) and the non-recurrence group (NRG). Radiomic features were used to develop models using three machine learning approaches: logistic regression (LR), random forest (RF) and support vector machine (SVM). The performance of the radiomic features was validated using fivefold cross-validation.Results: After rigorous screening, 105 patients met the inclusion criteria, and five radiomic features were identified. After 5-folds cross-validation, the average areas under the curves for LR, RF and SVM were 0.813, 0.741 and 0.772, respectively.Conclusion: T2-FLAIR-based radiomic features effectively predicted early recurrence in postoperative LGGs.
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Affiliation(s)
- Zhenhua Wang
- Department of Oncology, Qiandongnan Hospital affiliated to Guizhou Medical University (People's Hospital of Qiandongnan Miao & Dong Autonomous Prefecture), No. 31, Shaoshan South Road, Kaili, Guizhou Province, China
| | - Jinzhong Shu
- Department of Oncology, Qiandongnan Hospital affiliated to Guizhou Medical University (People's Hospital of Qiandongnan Miao & Dong Autonomous Prefecture), No. 31, Shaoshan South Road, Kaili, Guizhou Province, China
| | - Linjun Feng
- Department of Oncology, Qiandongnan Hospital affiliated to Guizhou Medical University (People's Hospital of Qiandongnan Miao & Dong Autonomous Prefecture), No. 31, Shaoshan South Road, Kaili, Guizhou Province, China
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4
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Papacocea SI, Vrinceanu D, Dumitru M, Manole F, Serboiu C, Papacocea MT. Molecular Profile as an Outcome Predictor in Glioblastoma along with MRI Features and Surgical Resection: A Scoping Review. Int J Mol Sci 2024; 25:9714. [PMID: 39273661 PMCID: PMC11395592 DOI: 10.3390/ijms25179714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/06/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive malignant tumors of the brain. We queried PubMed for articles about molecular predictor markers in GBM. This scoping review aims to analyze the most important outcome predictors in patients with GBM and to compare these factors in terms of absolute months of survival benefit and percentages. Performing a gross total resection for patients with GBM undergoing optimal chemo- and radiotherapy provides a significant benefit in overall survival compared to those patients who received a subtotal or partial resection. However, compared to IDH-Wildtype GBMs, patients with IDH-Mutant 1/2 GBMs have an increased survival. MGMT promoter methylation status is another strong outcome predictor for patients with GBM. In the reviewed literature, patients with methylated MGMT promoter lived approximately 50% to 90% longer than those with an unmethylated MGMT gene promoter. Moreover, KPS is an important predictor of survival and quality of life, demonstrating that we should refrain from aggressive surgery in important brain areas. As new therapies (such as TTFs) emerge, we are optimistic that the overall median survival will increase, even for IDH-Wildtype GBMs. In conclusion, molecular profiles are stronger outcome predictors than the extent of neurosurgical resection for GBM.
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Affiliation(s)
- Serban Iancu Papacocea
- Neurosurgery Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Daniela Vrinceanu
- ENT Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Mihai Dumitru
- ENT Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Felicia Manole
- ENT Department, Faculty of Medicine, University of Oradea, 410073 Oradea, Romania
| | - Crenguta Serboiu
- Cellular Biology and Histology Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Marius Toma Papacocea
- Neurosurgery Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
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Mazzoleni A, Awuah WA, Sanker V, Bharadwaj HR, Aderinto N, Tan JK, Huang HYR, Poornaselvan J, Shah MH, Atallah O, Tawfik A, Elmanzalawi MEAE, Ghozlan SH, Abdul-Rahman T, Moyondafoluwa JA, Alexiou A, Papadakis M. Chromosomal instability: a key driver in glioma pathogenesis and progression. Eur J Med Res 2024; 29:451. [PMID: 39227895 PMCID: PMC11373396 DOI: 10.1186/s40001-024-02043-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024] Open
Abstract
Chromosomal instability (CIN) is a pivotal factor in gliomas, contributing to their complexity, progression, and therapeutic challenges. CIN, characterized by frequent genomic alterations during mitosis, leads to genetic abnormalities and impacts cellular functions. This instability results from various factors, including replication errors and toxic compounds. While CIN's role is well documented in cancers like ovarian cancer, its implications for gliomas are increasingly recognized. CIN influences glioma progression by affecting key oncological pathways, such as tumor suppressor genes (e.g., TP53), oncogenes (e.g., EGFR), and DNA repair mechanisms. It drives tumor evolution, promotes inflammatory signaling, and affects immune interactions, potentially leading to poor clinical outcomes and treatment resistance. This review examines CIN's impact on gliomas through a narrative approach, analyzing data from PubMed/Medline, EMBASE, the Cochrane Library, and Scopus. It highlights CIN's role across glioma subtypes, from adult glioblastomas and astrocytomas to pediatric oligodendrogliomas and astrocytomas. Key findings include CIN's effect on tumor heterogeneity and its potential as a biomarker for early detection and monitoring. Emerging therapies targeting CIN, such as those modulating tumor mutation burden and DNA damage response pathways, show promise but face challenges. The review underscores the need for integrated therapeutic strategies and improved bioinformatics tools like CINdex to advance understanding and treatment of gliomas. Future research should focus on combining CIN-targeted therapies with immune modulation and personalized medicine to enhance patient outcomes.
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Affiliation(s)
- Adele Mazzoleni
- Barts and the London School of Medicine and Dentistry, London, UK
| | | | - Vivek Sanker
- Department Of Neurosurgery, Trivandrum Medical College, Trivandrum, India
| | | | - Nicholas Aderinto
- Internal Medicine Department, LAUTECH Teaching Hospital, Ogbomoso, Nigeria
| | | | - Helen Ye Rim Huang
- Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
| | | | | | - Oday Atallah
- Department of Neurosurgery, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Aya Tawfik
- Faculty of Biotechnology, October University for Modern Sciences and Arts (MSA), Giza, Egypt
| | | | - Sama Hesham Ghozlan
- Arab Academy for Science, Technology & Maritime Transport, Alexandria, Egypt
| | | | | | - Athanasios Alexiou
- University Centre for Research & Development, Chandigarh University, Chandigarh-Ludhiana Highway, Mohali, Punjab, India
- Funogen, Department of Research & Development, Athens, Greece
- Department of Research & Development, AFNP Med, 1030, Vienna, Austria
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, 2770, Australia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten-Herdecke, University of Witten-Herdecke, Heusnerstrasse 40, 42283, Wuppertal, Germany.
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Dakal TC, Kakde GS, Maurya PK. Genomic, epigenomic and transcriptomic landscape of glioblastoma. Metab Brain Dis 2024:10.1007/s11011-024-01414-8. [PMID: 39180605 DOI: 10.1007/s11011-024-01414-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024]
Abstract
The mostly aggressive and extremely malignant type of central nervous system is Glioblastoma (GBM), which is characterized by an extremely short average survival time of lesser than 16 months. The primary cause of this phenomenon can be attributed to the extensively altered genome of GBM, which is characterized by the dysregulation of numerous critical signaling pathways and epigenetics regulations associated with proliferation, cellular growth, survival, and apoptosis. In light of this, different genetic alterations in critical signaling pathways and various epigenetics regulation mechanisms are associated with GBM and identified as distinguishing markers. Such GBM prognostic alterations are identified in PI3K/AKT, p53, RTK, RAS, RB, STAT3 and ZIP4 signaling pathways, metabolic pathway (IDH1/2), as well as alterations in epigenetic regulation genes (MGMT, CDKN2A-p16INK4aCDKN2B-p15INK4b). The exploration of innovative diagnostic and therapeutic approaches that specifically target these pathways is utmost importance to enhance the future medication for GBM. This study provides a comprehensive overview of dysregulated epigenetic mechanisms and signaling pathways due to mutations, methylation, and copy number alterations of in critical genes in GBM with prevalence and emphasizing their significance.
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Affiliation(s)
- Tikam Chand Dakal
- Genome and Computational Biology Lab, Mohanlal Sukhadia, University, Udaipur, Rajasthan, 313001, India.
| | - Ganesh S Kakde
- Department of Biochemistry, Central University of Haryana, Mahendergarh, 123031, Haryana, India
| | - Pawan Kumar Maurya
- Department of Biochemistry, Central University of Haryana, Mahendergarh, 123031, Haryana, India.
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Batool SM, Escobedo AK, Hsia T, Ekanayake E, Khanna SK, Gamblin AS, Zheng H, Skog J, Miller JJ, Stemmer-Rachamimov AO, Cahill DP, Balaj L, Carter BS. Clinical utility of a blood based assay for the detection of IDH1.R132H-mutant gliomas. Nat Commun 2024; 15:7074. [PMID: 39152110 PMCID: PMC11329733 DOI: 10.1038/s41467-024-51332-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 08/05/2024] [Indexed: 08/19/2024] Open
Abstract
Glioma represents the most common central nervous system neoplasm in adults. Current classification scheme utilizes molecular alterations, particularly IDH1.R132H, to stratify lesions into distinct prognostic groups. Identification of the single nucleotide variant through traditional tissue biopsy assessment poses procedural risks and does not fully reflect the heterogeneous and evolving tumor landscape. Here, we introduce a liquid biopsy assay, mt-IDH1dx. The blood-based test allows minimally invasive detection of tumor-derived extracellular vesicle RNA using only 2 ml plasma volume. We perform rigorous, blinded validation testing across the study population (n = 133), comprising of IDH1.R132H patients (n = 80), IDH1 wild-type gliomas (n = 44), and age matched healthy controls (n = 9). Results from our plasma testing demonstrate an overall sensitivity of 75.0% (95% CI: 64.1%-84.0%), specificity 88.7% (95% CI: 77.0%-95.7%), positive predictive value 90.9%, and negative predictive value 70.1% compared to the tissue gold standard. In addition to fundamental diagnostic applications, the study also highlights the utility of mt-IDH1dx platform for blood-based monitoring and surveillance, offering valuable prognostic information. Finally, the optimized workflow enables rapid and efficient completion of both tumor tissue and plasma testing in under 4 hours from the time of sampling.
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Affiliation(s)
- Syeda Maheen Batool
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ana K Escobedo
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tiffaney Hsia
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Emil Ekanayake
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sirena K Khanna
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Austin S Gamblin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hui Zheng
- Center for Biostatistics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Johan Skog
- Exosome Diagnostics, a Bio-Techne Brand, Waltham, MA, USA
| | - Julie J Miller
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leonora Balaj
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Bob S Carter
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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8
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Chen WF, Chuang JMJ, Yang SN, Chen NF, Bhattacharya M, Liu HT, Dhama K, Chakraborty C, Wen ZH. Gene expression profiling and the isocitrate dehydrogenase mutational landscape of temozolomide‑resistant glioblastoma. Oncol Lett 2024; 28:378. [PMID: 38939621 PMCID: PMC11209862 DOI: 10.3892/ol.2024.14511] [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: 09/21/2023] [Accepted: 04/09/2024] [Indexed: 06/29/2024] Open
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer that occurs more frequently than other brain tumors. The present study aimed to reveal a novel mechanism of temozolomide resistance in GBM using bioinformatics and wet lab analyses, including meta-Z analysis, Kaplan-Meier survival analysis, protein-protein interaction (PPI) network establishment, cluster analysis of co-expressed gene networks, and hierarchical clustering of upregulated and downregulated genes. Next-generation sequencing and quantitative PCR analyses revealed downregulated [tyrosine kinase with immunoglobulin and epidermal growth factor homology domains 1 (TIE1), calcium voltage-gated channel auxiliary subunit α2Δ1 (CACNA2D1), calpain 6 (CAPN6) and a disintegrin and metalloproteinase with thrombospondin motifs 6 (ADAMTS6)] and upregulated [serum amyloid (SA)A1, SAA2, growth differentiation factor 15 (GDF15) and ubiquitin specific peptidase 26 (USP26)] genes. Different statistical models were developed for these genes using the Z-score for P-value conversion, and Kaplan-Meier plots were constructed using several patient cohorts with brain tumors. The highest number of nodes was observed in the PPI network was for ADAMTS6 and TIE1. The PPI network model for all genes contained 35 nodes and 241 edges. Immunohistochemical staining was performed using isocitrate dehydrogenase (IDH)-wild-type or IDH-mutant GBM samples from patients and a significant upregulation of TIE1 (P<0.001) and CAPN6 (P<0.05) protein expression was demonstrated in IDH-mutant GBM in comparison with IDH-wild-type GBM. Structural analysis revealed an IDH-mutant model demonstrating the mutant residues (R132, R140 and R172). The findings of the present study will help the future development of novel biomarkers and therapeutics for brain tumors.
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Affiliation(s)
- Wu-Fu Chen
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan, R.O.C
- Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung 80424, Taiwan, R.O.C
| | - Jimmy Ming-Jung Chuang
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan, R.O.C
| | - San-Nan Yang
- Department of Pediatrics, E-DA Hospital, School of Medicine, College of Medicine I-Shou University, Kaohsiung 82445, Taiwan, R.O.C
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan, R.O.C
| | - Nan-Fu Chen
- Division of Neurosurgery, Department of Surgery, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan, R.O.C
- Center for General Education, Cheng Shiu University, Kaohsiung 833301, Taiwan, R.O.C
| | | | - Hsin-Tzu Liu
- Department of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 970374, Taiwan, R.O.C
| | - Kuldeep Dhama
- Division of Pathology, Indian Council of Agriculture Research-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, India
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India
| | - Zhi-Hong Wen
- Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung 80424, Taiwan, R.O.C
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Squalli Houssaini A, Lamrabet S, Nshizirungu JP, Senhaji N, Sekal M, Karkouri M, Bennis S. Glioblastoma Vaccines as Promising Immune-Therapeutics: Challenges and Current Status. Vaccines (Basel) 2024; 12:655. [PMID: 38932383 PMCID: PMC11209492 DOI: 10.3390/vaccines12060655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/02/2024] [Accepted: 05/08/2024] [Indexed: 06/28/2024] Open
Abstract
Glioblastoma (GBM) is the most common and aggressive malignant brain tumor. Standard treatments including surgical resection, radiotherapy, and chemotherapy, have failed to significantly improve the prognosis of glioblastoma patients. Currently, immunotherapeutic approaches based on vaccines, chimeric antigen-receptor T-cells, checkpoint inhibitors, and oncolytic virotherapy are showing promising results in clinical trials. The combination of different immunotherapeutic approaches is proving satisfactory and promising. In view of the challenges of immunotherapy and the resistance of glioblastomas, the treatment of these tumors requires further efforts. In this review, we explore the obstacles that potentially influence the efficacy of the response to immunotherapy and that should be taken into account in clinical trials. This article provides a comprehensive review of vaccine therapy for glioblastoma. In addition, we identify the main biomarkers, including isocitrate dehydrogenase, epidermal growth factor receptor, and telomerase reverse transcriptase, known as potential immunotherapeutic targets in glioblastoma, as well as the current status of clinical trials. This paper also lists proposed solutions to overcome the obstacles facing immunotherapy in glioblastomas.
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Affiliation(s)
- 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;
| | - 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;
| | - Jean Paul Nshizirungu
- Biology Department, School of Science, College of Science and Technology, University of Rwanda, Kigali P.O. Box 3900, Rwanda;
| | - Nadia Senhaji
- Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes 50000, Morocco;
| | - Mohammed Sekal
- Laboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco;
| | - Mehdi Karkouri
- Department of Pathological Anatomy, Ibn Rochd University Hospital of Casablanca, Casablanca 20250, Morocco;
- Laboratory of Cellular and molecular Pathology, Faculty of Medicine and Pharmacy of Casablanca, Hassan II University, Casablanca 20360, 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;
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10
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Barzegar Behrooz A, Darzi Ramandi H, Latifi-Navid H, Peymani P, Tarharoudi R, Momeni N, Sabaghpour Azarian MM, Eltonsy S, Pour-Rashidi A, Ghavami S. Genetic Prognostic Factors in Adult Diffuse Gliomas: A 10-Year Experience at a Single Institution. Cancers (Basel) 2024; 16:2121. [PMID: 38893240 PMCID: PMC11172038 DOI: 10.3390/cancers16112121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/26/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
Gliomas are primary brain lesions involving cerebral structures without well-defined boundaries and constitute the most prevalent central nervous system (CNS) neoplasms. Among gliomas, glioblastoma (GB) is a glioma of the highest grade and is associated with a grim prognosis. We examined how clinical variables and molecular profiles may have affected overall survival (OS) over the past ten years. A retrospective study was conducted at Sina Hospital in Tehran, Iran and examined patients with confirmed glioma diagnoses between 2012 and 2020. We evaluated the correlation between OS in GB patients and sociodemographic as well as clinical factors and molecular profiling based on IDH1, O-6-Methylguanine-DNA Methyltransferase (MGMT), TERTp, and epidermal growth factor receptor (EGFR) amplification (EGFR-amp) status. Kaplan-Meier and multivariate Cox regression models were used to assess patient survival. A total of 178 patients were enrolled in the study. The median OS was 20 months, with a 2-year survival rate of 61.0%. Among the 127 patients with available IDH measurements, 100 (78.7%) exhibited mutated IDH1 (IDH1-mut) tumors. Of the 127 patients with assessed MGMT promoter methylation (MGMTp-met), 89 (70.1%) had MGMT methylated tumors. Mutant TERTp (TERTp-mut) was detected in 20 out of 127 cases (15.7%), while wildtype TERTp (wildtype TERTp-wt) was observed in 107 cases (84.3%). Analyses using multivariable models revealed that age at histological grade (p < 0.0001), adjuvant radiotherapy (p < 0.018), IDH1 status (p < 0.043), and TERT-p status (p < 0.014) were independently associated with OS. Our study demonstrates that patients with higher tumor histological grades who had received adjuvant radiotherapy exhibited IDH1-mut or presented with TERTp-wt experienced improved OS. Besides, an interesting finding showed an association between methylation of MGMTp and TERTp status with tumor location.
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Affiliation(s)
- Amir Barzegar Behrooz
- Department of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, MB R3E 0J9, Canada;
- Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran 1416634793, Iran;
- Brain Cancer Research Group, Department of Cancer, Asu Vanda Gene Industrial Research Company, Tehran 1533666398, Iran; (R.T.); (N.M.)
| | - Hadi Darzi Ramandi
- Department of Plant Production and Genetics, Bu-Ali Sina University, Hamedan 6517838623, Iran;
- Department of Molecular Physiology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research Education and Extension Organization (AREEO), Karaj 7155863511, Iran
- Department of Biostatistics, Asu Vanda Gene Industrial Research Company, Tehran 1533666398, Iran
| | - Hamid Latifi-Navid
- Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran 1416634793, Iran;
- Department of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, P.O. Box 14965/161, Tehran 1497716316, Iran
- School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran 1953833511, Iran
| | - Payam Peymani
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (P.P.); (S.E.)
| | - Rahil Tarharoudi
- Brain Cancer Research Group, Department of Cancer, Asu Vanda Gene Industrial Research Company, Tehran 1533666398, Iran; (R.T.); (N.M.)
- Department of Molecular and Cellular Sciences, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran 1477893855, Iran
| | - Nasrin Momeni
- Brain Cancer Research Group, Department of Cancer, Asu Vanda Gene Industrial Research Company, Tehran 1533666398, Iran; (R.T.); (N.M.)
- Department of Molecular and Cellular Sciences, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran 1477893855, Iran
| | | | - Sherif Eltonsy
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (P.P.); (S.E.)
| | - Ahmad Pour-Rashidi
- Brain Cancer Research Group, Department of Cancer, Asu Vanda Gene Industrial Research Company, Tehran 1533666398, Iran; (R.T.); (N.M.)
- Department of Neurosurgery, Sina Hospital, Tehran University of Medical Sciences, Tehran 1416634793, Iran
| | - Saeid Ghavami
- Department of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, MB R3E 0J9, Canada;
- Research Institute of Oncology and Hematology, Cancer Care Manitoba-University of Manitoba, Winnipeg, MB R3E 0V9, Canada
- Biology of Breathing Theme, Children Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
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11
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Nayarisseri A, Bandaru S, Khan A, Sharma K, Bhrdwaj A, Kaur M, Ghosh D, Chopra I, Panicker A, Kumar A, Saravanan P, Belapurkar P, Mendonça Junior FJB, Singh SK. Epigenetic dysregulation in cancers by isocitrate dehydrogenase 2 (IDH2). ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 141:223-253. [PMID: 38960475 DOI: 10.1016/bs.apcsb.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Recent advances in genome-wide studies have revealed numerous epigenetic regulations brought about by genes involved in cellular metabolism. Isocitrate dehydrogenase (IDH), an essential enzyme, that converts isocitrate into -ketoglutarate (KG) predominantly in the tricarboxylic acid (TCA) cycle, has gained particular importance due to its cardinal role in the metabolic pathway in cells. IDH1, IDH2, and IDH3 are the three isomeric IDH enzymes that have been shown to regulate cellular metabolism. Of particular importance, IDH2 genes are associated with several cancers, including gliomas, oligodendroglioma, and astrocytomas. These mutations lead to the production of oncometabolite D-2-hydroxyglutarate (D-2-HG), which accumulates in cells promoting tumor growth. The enhanced levels of D-2-HG competitively inhibit α-KG dependent enzymes, inhibiting cell TCA cycle, upregulating the cell growth and survival relevant HIF-1α pathway, promoting DNA hypermethylation related epigenetic activity, all of which synergistically contribute to carcinogenesis. The present review discusses epigenetic mechanisms inIDH2 regulation in cells and further its clinical implications.
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Affiliation(s)
- Anuraj Nayarisseri
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Bioinformatics Research Laboratory, LeGene Biosciences Pvt Ltd, Indore, Madhya Pradesh, India.
| | - Srinivas Bandaru
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Department of Biotechnology, Koneru Lakshmaiah Educational Foundation (KLEF), Green Fields, Vaddeswaram, Andhra Pradesh, India
| | - Arshiya Khan
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Khushboo Sharma
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Anushka Bhrdwaj
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Manmeet Kaur
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India
| | - Dipannita Ghosh
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India
| | - Ishita Chopra
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | - Aravind Panicker
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India
| | - Abhishek Kumar
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India; Department of Biosciences, Acropolis Institute, Indore, Madhya Pradesh, India
| | - Priyadevi Saravanan
- In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India
| | - Pranoti Belapurkar
- Department of Biosciences, Acropolis Institute, Indore, Madhya Pradesh, India
| | | | - Sanjeev Kumar Singh
- Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India
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12
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Vatankhahan H, Esteki F, Jabalameli MA, Kiani P, Ehtiati S, Movahedpour A, Vakili O, Khatami SH. Electrochemical biosensors for early diagnosis of glioblastoma. Clin Chim Acta 2024; 557:117878. [PMID: 38493942 DOI: 10.1016/j.cca.2024.117878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
Glioblastoma (GBM) is a highly aggressive and life-threatening neurological malignancy of predominant astrocyte origin. This type of neoplasm can develop in either the brain or the spine and is also known as glioblastoma multiforme. Although current diagnostic methods such as magnetic resonance imaging (MRI) and positron emission tomography (PET) facilitate tumor location, these approaches are unable to assess disease severity. Furthermore, interpretation of imaging studies requires significant expertise which can have substantial inter-observer variability, thus challenging diagnosis and potentially delaying treatment. In contrast, biosensing systems offer a promising alternative to these traditional approaches. These technologies can continuously monitor specific molecules, providing valuable real-time data on treatment response, and could significantly improve patient outcomes. Among various types of biosensors, electrochemical systems are preferred over other types, as they do not require expensive or complex equipment or procedures and can be made with readily available materials and methods. Moreover, electrochemical biosensors can detect very small amounts of analytes with high accuracy and specificity by using various signal amplification strategies and recognition elements. Considering the advantages of electrochemical biosensors compared to other biosensing methods, we aim to highlight the potential application(s) of these sensors for GBM theranostics. The review's innovative insights are expected to antecede the development of novel biosensors and associated diagnostic platforms, ultimately restructuring GBM detection strategies.
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Affiliation(s)
- Hamid Vatankhahan
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farnaz Esteki
- Department of Medical Laboratory Sciences, School of Paramedicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohammad Amin Jabalameli
- Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Pouria Kiani
- Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sajad Ehtiati
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Omid Vakili
- Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran; Autophagy Research Center, Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Seyyed Hossein Khatami
- Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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13
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Shen Y, Thng DKH, Wong ALA, Toh TB. Mechanistic insights and the clinical prospects of targeted therapies for glioblastoma: a comprehensive review. Exp Hematol Oncol 2024; 13:40. [PMID: 38615034 PMCID: PMC11015656 DOI: 10.1186/s40164-024-00512-8] [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: 12/30/2023] [Accepted: 04/08/2024] [Indexed: 04/15/2024] Open
Abstract
Glioblastoma (GBM) is a fatal brain tumour that is traditionally diagnosed based on histological features. Recent molecular profiling studies have reshaped the World Health Organization approach in the classification of central nervous system tumours to include more pathogenetic hallmarks. These studies have revealed that multiple oncogenic pathways are dysregulated, which contributes to the aggressiveness and resistance of GBM. Such findings have shed light on the molecular vulnerability of GBM and have shifted the disease management paradigm from chemotherapy to targeted therapies. Targeted drugs have been developed to inhibit oncogenic targets in GBM, including receptors involved in the angiogenic axis, the signal transducer and activator of transcription 3 (STAT3), the PI3K/AKT/mTOR signalling pathway, the ubiquitination-proteasome pathway, as well as IDH1/2 pathway. While certain targeted drugs showed promising results in vivo, the translatability of such preclinical achievements in GBM remains a barrier. We also discuss the recent developments and clinical assessments of targeted drugs, as well as the prospects of cell-based therapies and combinatorial therapy as novel ways to target GBM. Targeted treatments have demonstrated preclinical efficacy over chemotherapy as an alternative or adjuvant to the current standard of care for GBM, but their clinical efficacy remains hindered by challenges such as blood-brain barrier penetrance of the drugs. The development of combinatorial targeted therapies is expected to improve therapeutic efficacy and overcome drug resistance.
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Affiliation(s)
- Yating Shen
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Dexter Kai Hao Thng
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Andrea Li Ann Wong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Haematology-Oncology, National University Hospital, Singapore, Singapore
| | - Tan Boon Toh
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore, Singapore.
- The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore.
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14
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Li J, Wei Y, Liu J, Cheng S, Zhang X, Qiu H, Li J, He C. Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma. Biosci Rep 2024; 44:BSR20231400. [PMID: 38419527 DOI: 10.1042/bsr20231400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/01/2024] [Accepted: 02/28/2024] [Indexed: 03/02/2024] Open
Abstract
Increasing evidence has demonstrated that cancer cell metabolism is a critical factor in tumor development and progression; however, its role in glioblastoma (GBM) remains limited. In the present study, we classified GBM into three metabolism subtypes (MC1, MC2, and MC3) through cluster analysis of 153 GBM samples from the RNA-sequencing data of The Cancer Genome Atlas (TCGA) based on 2752 metabolism-related genes (MRGs). We further explored the prognostic value, metabolic signatures, immune infiltration, and immunotherapy sensitivity of the three metabolism subtypes. Moreover, the metabolism scoring model was established to quantify the different metabolic characteristics of the patients. Results showed that MC3, which is associated with a favorable survival outcome, had higher proportions of isocitrate dehydrogenase (IDH) mutations and lower tumor purity and proliferation. The MC1 subtype, which is associated with the worst prognosis, shows a higher number of segments and homologous recombination defects and significantly lower mRNA expression-based stemness index (mRNAsi) and epigenetic-regulation-based mRNAsi. The MC2 subtype has the highest T-cell exclusion score, indicating a high likelihood of immune escape. The results were validated using an independent dataset. Five MRGs (ACSL1, NDUFA2, CYP1B1, SLC11A1, and COX6B1) correlated with survival outcomes were identified based on metabolism-related co-expression module analysis. Laboratory-based validation tests further showed the expression of these MRGs in GBM tissues and how their expression influences cell function. The results provide a reference for developing clinical management approaches and treatments for GBM.
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Affiliation(s)
- Jiahui Li
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215228, China
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Yutian Wei
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Jiali Liu
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Shupeng Cheng
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Xia Zhang
- Center of Rehabilitation Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shanxi Province 710054, China
| | - Huaide Qiu
- Faculty of Rehabilitation Science, Nanjing Normal University of Special Education, Nanjing, Jiangsu Province 210038, China
| | - Jianan Li
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Chuan He
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215228, China
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15
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Meel M, Jindal A, Kumar M, Mathur K, Singh A. IDH1, ATRX, p53, and Ki67 Expression in Glioblastoma patients: Their Clinical and Prognostic Significance-A Prospective Study. Asian J Neurosurg 2024; 19:14-20. [PMID: 38751398 PMCID: PMC11093636 DOI: 10.1055/s-0042-1750783] [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] [Indexed: 05/18/2024] Open
Abstract
Context Glioblastoma multiforme (GBM) is a malignant and aggressive primary brain tumor with a poor prognosis. This adverse prognosis is due to the tumor's tendency for advancement and recurrence caused by highly intrusive nature of the persisting GBM cells that actively escape from the main tumor mass into the surrounding normal brain tissue. On the basis of biomarker illustration, it can be classified into molecular subgroups. Aims (1) To determine the expression of IDH1, ATRX, p53, and Ki67 by immunohistochemistry, in a cohort of GBMs. (2) To determine whether altered protein expression of any of these growth-control genes in GBM will show association with patient survival. (3) To establish prognostically distinct molecular subgroups of GBM, irrespective of histopathological diagnosis. Results In this prospective observational study, 35 histologically diagnosed cases of glioblastoma were enrolled. The mean age at the time of presentation was 43.46 ± 17.25 years with a male:female ratio of 1.3:1. Of the 35 cases, microvascular proliferation was seen in 23 cases. Large foci of necrosis (>50%) were seen in 10 cases and 27 cases had mitotic count ≥ 5/high power field (HPF). Of 35 cases, 5 (14.3%) cases showed IDH1 immunopositivity and 30 (85.7%) cases were negative for IDH1. ATRX was retained in 24 (68.6%) cases, while it was lost in 11 (31.4%) cases. The p53 immunoexpression was seen in 31 (88.6%) cases, whereas p53 was negative in 4 (11.4%) cases. The overall median survival (OS) was 6 months. In two protein pairs, the three compositions were IDH1-/p53+ (74.3%), ATRX +/IDH1- (62.9%), and ATRX +/p53+ (57.1%). Combined three-protein immunohistochemical analysis revealed five different molecular variants. Also, 8.6% (3/35) of the samples had aberrant protein expression of all three proteins, i.e., ATRX-/p53 +/IDH1 + , while 11.4% (4/35) were wild-type protein expression group, i.e., ATRX +/p53-/IDH1-. Conclusion In patients with single protein expression, Kaplan-Meier survival analysis showed statistically better OS in IDH1 mutant glioblastomas. In cases with double protein pairs, IDH1/p53 revealed statistically significant association with better median OS. The survival analysis of patients with IDH1/ATRX/p53 protein combinations also denoted a better OS. Hence, GBM can be grouped into prognostically relevant subgroups using these protein expression signatures individually, as well as the combined protein expression signatures.
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Affiliation(s)
- Mukta Meel
- Department of Pathology, SMS Medical College, Jaipur, Rajasthan, India
| | - Arpita Jindal
- Department of Pathology, SMS Medical College, Jaipur, Rajasthan, India
| | - Mukesh Kumar
- Department of Neurosurgery, SMS Medical College, Jaipur, Rajasthan, India
| | - Kusum Mathur
- Department of Pathology, SMS Medical College, Jaipur, Rajasthan, India
| | - Ashok Singh
- Department of Pathology, SMS Medical College, Jaipur, Rajasthan, India
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16
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Satgunaseelan L, Sy J, Shivalingam B, Sim HW, Alexander KL, Buckland ME. Prognostic and predictive biomarkers in central nervous system tumours: the molecular state of play. Pathology 2024; 56:158-169. [PMID: 38233331 DOI: 10.1016/j.pathol.2023.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 01/19/2024]
Abstract
Central nervous system (CNS) tumours were one of the first cancer types to adopt and integrate molecular profiling into routine clinical diagnosis in 2016. The vast majority of these biomarkers, used to discriminate between tumour types, also offered prognostic information. With the advent of The Cancer Genome Atlas (TCGA) and other large genomic datasets, further prognostic sub-stratification was possible within tumour types, leading to increased precision in CNS tumour grading. This review outlines the evolution of the molecular landscape of adult CNS tumours, through the prism of World Health Organization (WHO) Classifications. We begin our journey in the pre-molecular era, where high-grade gliomas were divided into 'primary' and 'secondary' glioblastomas. Molecular alterations explaining these clinicopathological observations were the first branching points of glioma diagnostics, with the discovery of IDH1/2 mutations and 1p/19q codeletion. Subsequently, the rigorous characterisation of paediatric gliomas led to the unearthing of histone H3 alterations as a key event in gliomagenesis, which also had implications for young adult patients. Simultaneously, studies investigating prognostic biomarkers within tumour types were undertaken. Certain genomic phenotypes were found to portend unfavourable outcomes, for example, MYCN amplification in spinal ependymoma. The arrival of methylation profiling, having revolutionised the diagnosis of CNS tumours, now promises to bring increased prognostic accuracy, as has been shown in meningiomas. While MGMT promoter hypermethylation has remained a reliable biomarker of response to cytotoxic chemotherapy, targeted therapy in CNS tumours has unfortunately not had the success of other cancers. Therefore, predictive biomarkers have lagged behind the identification of prognostic biomarkers in CNS tumours. Emerging research from new clinical trials is cause for guarded optimism and may shift our conceptualisation of predictive biomarker testing in CNS tumours.
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Affiliation(s)
- Laveniya Satgunaseelan
- Department of Neuropathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia; Department of Neurosurgery, Chris O'Brien Lifehouse, Sydney, NSW, Australia
| | - Joanne Sy
- Department of Neuropathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Brindha Shivalingam
- Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia; Department of Neurosurgery, Chris O'Brien Lifehouse, Sydney, NSW, Australia
| | - Hao-Wen Sim
- Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia; Department of Medical Oncology, Chris O'Brien Lifehouse, Sydney, NSW, Australia; Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Kimberley L Alexander
- Department of Neuropathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Department of Neurosurgery, Chris O'Brien Lifehouse, Sydney, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Michael E Buckland
- Department of Neuropathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health Sciences, The University of Sydney, Sydney, NSW, Australia.
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17
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Bušić M, Rumboldt Z, Čerina D, Bušić Ž, Dolić K. Prognostic Value of Apparent Diffusion Coefficient (ADC) in Patients with Diffuse Gliomas. Cancers (Basel) 2024; 16:681. [PMID: 38398073 PMCID: PMC10886867 DOI: 10.3390/cancers16040681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 01/30/2024] [Accepted: 02/03/2024] [Indexed: 02/25/2024] Open
Abstract
This study aimed to evaluate potential posttreatment changes in ADC values within the tissue surrounding the enhancing lesion, particularly in areas not exhibiting MRI characteristics of involvement. Additionally, the objective was to investigate the correlations among ADC values, treatment response, and survival outcomes in individuals diagnosed with gliomas. This retrospective study included a total of 49 patients that underwent either stereotactic biopsy or maximal surgical resection. Histologically confirmed as Grade III or IV gliomas, all cases adhered to the 2016 and 2021 WHO classifications, with subsequent radio-chemotherapy administered post-surgery. Patients were divided into two groups: short and long survival groups. Baseline and follow-up MRI scans were obtained on a 1.5 T MRI scanner. Two ROI circles were positioned near the enhancing area, one ROI in the NAWM ipsilateral to the neoplasm and another symmetrically in the contralateral hemisphere on ADC maps. At follow-up there was a significant difference in both ipsilateral and contralateral NAWM between the two groups, -0.0857 (p = 0.004) and -0.0607 (p = 0.037), respectively. There was a weak negative correlation between survival and ADC values in ipsilateral and contralateral NAWM at the baseline with the correlation coefficient -0.328 (p = 0.02) and -0.302 (p = 0.04), respectively. The correlation was stronger at the follow-up. The findings indicate that ADC values in normal-appearing white matter (NAWM) may function as a prognostic biomarker in patients with diffuse gliomas.
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Affiliation(s)
- Marija Bušić
- Department of Diagnostic and Interventional Radiology, University Hospital Split, Spinčićeva 1, 21000 Split, Croatia; (M.B.); (Ž.B.)
| | - Zoran Rumboldt
- School of Medicine, University of Rijeka, Ulica Braće Branchetta 20/1, 51000 Rijeka, Croatia;
| | - Dora Čerina
- Department of Oncology, University Hospital Split, Spinčićeva 1, 21000 Split, Croatia;
| | - Željko Bušić
- Department of Diagnostic and Interventional Radiology, University Hospital Split, Spinčićeva 1, 21000 Split, Croatia; (M.B.); (Ž.B.)
| | - Krešimir Dolić
- Department of Diagnostic and Interventional Radiology, University Hospital Split, Spinčićeva 1, 21000 Split, Croatia; (M.B.); (Ž.B.)
- School of Medicine, University of Split, Šoltanska 1, 21000 Split, Croatia
- University Department of Health Studies, University of Split, Ulica Ruđera Boškovića 35, 21000 Split, Croatia
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18
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Pinson H, Silversmit G, Vanhauwaert D, Vanschoenbeek K, Okito JPK, De Vleeschouwer S, Boterberg T, De Gendt C. Epidemiology and survival of adult-type diffuse glioma in Belgium during the molecular era. Neuro Oncol 2024; 26:191-202. [PMID: 37651614 PMCID: PMC10768998 DOI: 10.1093/neuonc/noad158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Survival data of diffuse adult-type glioma is mostly based on prospective clinical trials or small retrospective cohort studies. Real-world data with large patient cohorts is currently lacking. METHODS Using the nationwide, population-based Belgian Cancer Registry, all known histological reports of patients diagnosed with an adult-type diffuse glioma in Belgium between 2017 and 2019 were reviewed. The ICD-O-3 morphology codes were matched with the histological diagnosis. The gathered data were transformed into the 2021 World Health Organization classification of CNS tumors using the IDH- and 1p/19q-mutation status. RESULTS Between 2017 and 2019, 2233 diffuse adult-type gliomas were diagnosed in Belgium. Full molecular status was available in 67.1% of identified cases. The age-standardized incidence rate of diffuse adult-type glioma in Belgium was estimated at 8.55 per 100 000 person-years and 6.72 per 100 000 person-years for grade 4 lesions. Median overall survival time in IDH-wild-type glioblastoma was 9.3 months, significantly shorter compared to grade 4 IDH-mutant astrocytoma (median survival time: 25.9 months). The 3-year survival probability was 86.0% and 75.7% for grades 2 and 3 IDH-mutated astrocytoma. IDH-wild-type astrocytoma has a worse prognosis with a 3-year survival probability of 31.6% for grade 2 and 5.7% for grade 3 lesions. CONCLUSIONS This registry-based study presents a large cohort of adult-type diffuse glioma with known molecular status and uses real-world survival data. It adds to the current literature which is mainly based on historical landmark trials and smaller retrospective cohort studies.
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Affiliation(s)
- Harry Pinson
- Department of Neurosurgery, Ghent University Hospital, Ghent, Belgium
| | | | | | | | | | - Steven De Vleeschouwer
- Department of Neurosurgery, UZ Leuven, Leuven, Belgium
- Laboratory for experimental neurosurgery and neuroanatomy, Department of Neurosciences, Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Tom Boterberg
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
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Saatci O, Sahin O. TACC3: a multi-functional protein promoting cancer cell survival and aggressiveness. Cell Cycle 2023; 22:2637-2655. [PMID: 38197196 PMCID: PMC10936615 DOI: 10.1080/15384101.2024.2302243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/02/2024] [Indexed: 01/11/2024] Open
Abstract
TACC3 is the most oncogenic member of the transforming acidic coiled-coil domain-containing protein (TACC) family. It is one of the major recruitment factors of distinct multi-protein complexes. TACC3 is localized to spindles, centrosomes, and nucleus, and regulates key oncogenic processes, including cell proliferation, migration, invasion, and stemness. Recently, TACC3 inhibition has been identified as a vulnerability in highly aggressive cancers, such as cancers with centrosome amplification (CA). TACC3 has spatiotemporal functions throughout the cell cycle; therefore, targeting TACC3 causes cell death in mitosis and interphase in cancer cells with CA. In the clinics, TACC3 is highly expressed and associated with worse survival in multiple cancers. Furthermore, TACC3 is a part of one of the most common fusions of FGFR, FGFR3-TACC3 and is important for the oncogenicity of the fusion. A detailed understanding of the regulation of TACC3 expression, its key partners, and molecular functions in cancer cells is vital for uncovering the most vulnerable tumors and maximizing the therapeutic potential of targeting this highly oncogenic protein. In this review, we summarize the established and emerging interactors and spatiotemporal functions of TACC3 in cancer cells, discuss the potential of TACC3 as a biomarker in cancer, and therapeutic potential of its inhibition.
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Affiliation(s)
- Ozge Saatci
- Department of Biochemistry and Molecular Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Ozgur Sahin
- Department of Biochemistry and Molecular Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
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20
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Bertrand M, Szeremeta F, Hervouet-Coste N, Sarou-Kanian V, Landon C, Morisset-Lopez S, Decoville M. An adult Drosophila glioma model to highlight metabolic dysfunctions and evaluate the role of the serotonin 5-HT 7 receptor as a potential therapeutic target. FASEB J 2023; 37:e23230. [PMID: 37781977 DOI: 10.1096/fj.202300783rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 08/31/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
Gliomas account for 50% of brain cancers and are therefore the most common brain tumors. Molecular alterations involved in adult gliomas have been identified and mainly affect tyrosine kinase receptors with amplification and/or mutation of the epidermal growth factor receptor (EGFR) and its associated signaling pathways. Several targeted therapies have been developed, but current treatments remain ineffective for glioblastomas, the most severe forms. Thus, it is a priority to identify new pharmacological targets. Drosophila glioma models established in larvae and adults are useful to identify new genes and signaling pathways involved in glioma progression. Here, we used a Drosophila glioma model in adults, to characterize metabolic disturbances associated with glioma and assess the consequences of 5-HT7 R expression on glioma development. First, by using in vivo magnetic resonance imaging, we have shown that expression of the constitutively active forms of EGFR and PI3K in adult glial cells induces brain enlargement. Then, we explored altered cellular metabolism by using high-resolution magic angle spinning NMR and 1 H-13 C heteronuclear single quantum coherence solution states. Discriminant metabolites identified highlight the rewiring of metabolic pathways in glioma and associated cachexia phenotypes. Finally, the expression of 5-HT7 R in this adult model attenuates phenotypes associated with glioma development. Collectively, this whole-animal approach in Drosophila allowed us to provide several rapid and robust phenotype readouts, such as enlarged brain volume and glioma-associated cachexia, as well as to determine the metabolic pathways involved in glioma genesis and finally to confirm the interest of the 5-HT7 R in the treatment of glioma.
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Affiliation(s)
- Marylène Bertrand
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
| | | | | | - Vincent Sarou-Kanian
- Conditions Extrêmes et Matériaux: Haute Température et Irradiation-CEMHTI-CNRS UPR 3079, Orléans, France
| | - Céline Landon
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
| | | | - Martine Decoville
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
- UFR Sciences et Techniques, Université d'Orléans, Orléans, France
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21
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Jaraíz-Rodríguez M, Del Prado L, Balsa E. Metabolic remodeling in astrocytes: Paving the path to brain tumor development. Neurobiol Dis 2023; 188:106327. [PMID: 37839712 DOI: 10.1016/j.nbd.2023.106327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/17/2023] Open
Abstract
The brain is a highly metabolic organ, composed of multiple cell classes, that controls crucial functions of the body. Although neurons have traditionally been the main protagonist, astrocytes have gained significant attention over the last decade. In this regard, astrocytes are a type of glial cells that have recently emerged as critical regulators of central nervous system (CNS) function and play a significant role in maintaining brain energy metabolism. However, in certain scenarios, astrocyte behavior can go awry, which poses a significant threat to brain integrity and function. This is definitively the case for mutations that turn normal astrocytes and astrocytic precursors into gliomas, an aggressive type of brain tumor. In addition, healthy astrocytes can interact with tumor cells, becoming part of the tumor microenvironment and influencing disease progression. In this review, we discuss the recent evidence suggesting that disturbed metabolism in astrocytes can contribute to the development and progression of fatal human diseases such as cancer. Emphasis is placed on detailing the molecular bases and metabolic pathways of this disease and highlighting unique metabolic vulnerabilities that can potentially be exploited to develop successful therapeutic opportunities.
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Affiliation(s)
- Myriam Jaraíz-Rodríguez
- Centro de Biología Molecular Severo Ochoa (CBMSO), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain
| | - Lucia Del Prado
- Centro de Biología Molecular Severo Ochoa (CBMSO), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain
| | - Eduardo Balsa
- Centro de Biología Molecular Severo Ochoa (CBMSO), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid (CSIC-UAM), Madrid, Spain; Instituto Universitario de Biología Molecular - IUBM (Universidad Autónoma de Madrid), Madrid, Spain.
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22
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Shi Y, Liu C, Cheng D, Tang L, Qi Z. Effects of gross total resection and subtotal resection on survival outcomes of glioma patients: a meta-analysis. Biotechnol Genet Eng Rev 2023; 39:1321-1344. [PMID: 36772792 DOI: 10.1080/02648725.2023.2177034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 02/12/2023]
Abstract
This study was to conduct a meta-analysis to explore the impact of gross total resection (GTR) and subtotal resection (STR) on survival outcomes in glioma patients. Relevant studies were searched in multiple databases from the available date of inception through 30 December 2021. The weighted mean differences (WMDs), relative risks (RRs), or hazard ratios (HRs) with 95% confidence intervals (CIs) were used to access the effect of GTR versus STR treatments on the outcomes. The histology (low-grade or high-grade) and study population (children and adults) were used for subgroup analysis. Sensitivity analysis was performed for all outcomes. Begg's test and trim-and-fill method were used for publication bias. Totally 100 studies enrolling 62,129 patients were selected in this meta-analysis. The summary results showed that GTR was superior in improving 1-, 2-, 3-, 5-, 10-, 15-year overall survival (OS), OS time, 1-, 3-, 5-year progression-free survival (PFS), recurrence, local control and seizure control among glioma patients. In addition, high-grade patients who underwent GTR had improvements in 1-, 2- and 3-year OS, OS time, and 1-year PFS, while low-grade patients receiving GTR had improvements in 2-, 5- and 15-year OS, recurrence, seizure control, and tumor progression compared with those receiving STR. GTR was likely to be more effective on survival outcomes than STR among patients with gliomas.
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Affiliation(s)
- Yu Shi
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, P.R. China
| | - Chengming Liu
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, P.R. China
| | - Dejing Cheng
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, P.R. China
| | - Liyan Tang
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, P.R. China
| | - Zhenyu Qi
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, P.R. China
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23
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Yoon BH, Park JS, Kang S, Kwon NJ, Lee KS, Kim CY, Choe G. IDH-wildtype secondary glioblastoma arising in IDH-mutant diffuse astrocytoma: a case report. Br J Neurosurg 2023; 37:1233-1236. [PMID: 33095064 DOI: 10.1080/02688697.2020.1837733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/13/2020] [Indexed: 10/23/2022]
Abstract
Primary glioblastoma develops de novo without clinical or histological evidence of a low-grade precursor lesion, whereas secondary glioblastoma develops from a low-grade glioma. The present report describes an extraordinary case of IDH-wildtype secondary glioblastoma arising in IDH-mutant diffuse astrocytoma. A 31-year-old female had a surgical history of IDH-mutant diffuse astrocytoma on the left frontal lobe six years before. Magnetic resonance imaging revealed new infiltrative lesions in the left frontal lobe adjacent to the previous lesion. The patient underwent tumourectomy, and the new infiltrative lesion was diagnosed as glioblastoma. Interestingly, the IDH-1 (p.Arg132His) mutation was found in diffuse astrocytoma but not in glioblastoma based on next generation sequencing. ATRX (p.Gln1670Ter) and TP53 (p.His193Arg) mutations were found in both lesions. Additionally, the PTEN (p.His296Pro) mutation was identified only in glioblastoma. A well-accepted hypothesis is that the IDH mutation initiates in glial progenitor cells and causes secondary glioblastoma harboring the IDH mutation to develop from low grade glioma with IDH mutation. However, this case showed that the other genetic mutations can be initiated before the IDH mutation in glioma oncogenesis. Contrary to the previous hypothesis, this is the first case of IDH-wildtype secondary glioblastoma arising in IDH-mutant diffuse astrocytoma.
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Affiliation(s)
- Byul-Hee Yoon
- Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ju Sang Park
- Department of Orthopedic Surgery, Sewoori Hospital Joint & Spine Center, Serogu, Daejeon, Republic of Korea
| | | | | | - Kyu Sang Lee
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chae-Yong Kim
- Department of Neurosurgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Gheeyoung Choe
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
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Zhu X, Hao J, Zhang H, Chi M, Wang Y, Huang J, Xu R, Xincai Z, Xin B, Sun X, Zhang J, Zhou S, Cheng D, Yuan T, Ding J, Zheng S, Guo C, Yang Q. Oncometabolite D-2-hydroxyglutarate-dependent metabolic reprogramming induces skeletal muscle atrophy during cancer cachexia. Commun Biol 2023; 6:977. [PMID: 37741882 PMCID: PMC10518016 DOI: 10.1038/s42003-023-05366-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 09/15/2023] [Indexed: 09/25/2023] Open
Abstract
Cancer cachexia is characterized by weight loss and skeletal muscle wasting. Based on the up-regulation of catabolism and down-regulation of anabolism, here we showed genetic mutation-mediated metabolic reprogramming in the progression of cancer cachexia by screening for metabolites and investigating their direct effect on muscle atrophy. Treatment with 93 μM D-2-hydroxyglutarate (D2HG) resulted in reduced myotube width and increased expression of E3 ubiquitin ligases. Isocitrate Dehydrogenase 1 (IDH1) mutant patients had higher D2HG than non-mutant patients. In the in vivo murine cancer cachexia model, mutant IDH1 in CT26 cancer cells accelerated cachexia progression and worsened overall survival. Transcriptomics and metabolomics revealed a distinct D2HG-induced metabolic imbalance. Treatment with the IDH1 inhibitor ivosidenib delayed the progression of cancer cachexia in murine GL261 glioma model and CT26 colorectal carcinoma models. These data demonstrate the contribution of IDH1 mutation mediated D2HG accumulation to the progression of cancer cachexia and highlight the individualized treatment of IDH1 mutation associated cancer cachexia.
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Affiliation(s)
- Xinting Zhu
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Juan Hao
- Department of Endocrinology, Shanghai Traditional Chinese Medicine, Integrated Hospital, Shanghai University of Traditional Chinese Medicine, 230 Baoding Road, Shanghai, 200082, China
| | - Hong Zhang
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Mengyi Chi
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Yaxian Wang
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Jinlu Huang
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Rong Xu
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Zhao Xincai
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Bo Xin
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Xipeng Sun
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Jianping Zhang
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Shumin Zhou
- Institution of microsurgery on extremities, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Dongdong Cheng
- Department of Bone Oncology, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of MedicineShanghai Shanghai, Shanghai, P. R. China
| | - Ting Yuan
- Department of Bone Oncology, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of MedicineShanghai Shanghai, Shanghai, P. R. China
| | - Jun Ding
- Department of Neurosurgery, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Shuier Zheng
- Department of Oncology, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - Cheng Guo
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
| | - Quanjun Yang
- Department of Pharmacy, Shanghai Sixth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
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25
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Baddam SR, Kalagara S, Kuna K, Enaganti S. Recent advancements and theranostics strategies in glioblastoma therapy. Biomed Mater 2023; 18:052007. [PMID: 37582381 DOI: 10.1088/1748-605x/acf0ab] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 08/15/2023] [Indexed: 08/17/2023]
Abstract
Glioblastoma (GBM) is the most aggressive and lethal malignant brain tumor, and it is challenging to cure with surgery and treatment. The prevention of permanent brain damage and tumor invasion, which is the ultimate cause of recurrence, are major obstacles in GBM treatment. Besides, emerging treatment modalities and newer genetic findings are helping to understand and manage GBM in patients. Accordingly, researchers are focusing on advanced nanomaterials-based strategies for tackling the various problems associated with GBM. In this context, researchers explored novel strategies with various alternative treatment approaches such as early detection techniques and theranostics approaches. In this review, we have emphasized the recent advancement of GBM cellular models and their roles in designing GBM therapeutics. We have added a special emphasis on the novel genetic and drug target findings as well as strategies for early detection. Besides, we have discussed various theranostic approaches such as hyperthermia therapy, phototherapy and image-guided therapy. Approaches utilized for targeted drug delivery to the GBM were also discussed. This article also describes the recentin vivo, in vitroandex vivoadvances using innovative theranostic approaches.
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Affiliation(s)
- Sudhakar Reddy Baddam
- University of Massachusetts Chan Medical School, RNA Therapeutics Institute,Worcester,MA 01655, United States of America
| | - Sudhakar Kalagara
- Department of Chemistry and Biochemistry,University of the Texas at El Paso, 500 W University Ave,El Paso,TX 79968, United States of America
| | - Krishna Kuna
- Department of Chemistry,University College of Science, Saifabad, Osmania University, Hyderabad,Telangana,India
| | - Sreenivas Enaganti
- Department of Bioinformatics, Averinbiotech Laboratories,208, 2nd Floor, Windsor Plaza, Nallakunta, Hyderabad, Telangana,India
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26
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Qiao J, Wu H, Liu J, Kang H, Wang S, Fang J, Zhang J, Zhang W. Spectral Analysis Based on Hemodynamic Habitat Imaging Predicts Isocitrate Dehydrogenase Status and Prognosis in High-Grade Glioma. World Neurosurg 2023; 175:e520-e530. [PMID: 37028478 DOI: 10.1016/j.wneu.2023.03.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 03/30/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND The intratumoral heterogeneity of high-grade gliomas (HGGs) is associated with isocitrate dehydrogenase (IDH) status and prognosis, which can be established by quantitative radioanalysis of spatial tumor habitats. Therefore, we designed a framework for tackling tumors based on spatial metabolism using the hemodynamic tissue signature (HTS), focusing on metabolic changes in tumor habitat to predict IDH status and assess prognosis in patients with HGG. METHODS Preoperative data for 121 patients with HGG with subsequent histologic confirmation of HGG were prospectively collected (January 2016 to December 2020). The HTS was mapped from the image data, chemical shift imaging voxels were selected from the HTS habitat as the region of interest, and the metabolic ratio of the HTS was calculated using weighted least square method fitting. The metabolic rate of the tumor enhancement area was used as a control to analyze the efficacy of each HTS metabolic rate in predicting the IDH status and prognosis of HGG. RESULTS Total choline (Cho)/total creatine and Cho/N-acetyl-aspartate showed significant differences between IDH-wildtype and IDH-mutant in high- and low-angiogenic enhanced tumor sites (P < 0.05); Cho/total creatine was an independent risk factor for prognosis of HGG patients in high-angiogenic enhanced tumor habitats, with significant differences in survival time between groups (P < 0.05). The metabolic ratio in the tumor enhanced area could not predict IDH status or evaluate prognosis. CONCLUSIONS Spectral analysis based on hemodynamic habitat imaging can clearly distinguish IDH mutations and the prognosis assessment is more accurate, rendering it superior to traditional spectral analysis in tumor enhancement areas.
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Affiliation(s)
- Jinguo Qiao
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China
| | - Hao Wu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiachen Liu
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China
| | - Houyi Kang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China
| | - Shunan Wang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China
| | - Jingqin Fang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China
| | - Junfeng Zhang
- Department of Radiology, General Hospital of Western Theater Command of PLA, Chengdu, Sichuan Province, China
| | - Weiguo Zhang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China; Chongqing Clinical Research Centre of Imaging and Nuclear Medicine, Chongqing, China.
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27
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Wang Y, Yang Y, Cao X, Liu Z, Chen B, Du Q, Lu X. Simple and Ultrasensitive Detection of Glioma-Related ctDNAs in Mice Serum by SERS-Based Catalytic Hairpin Assembly Signal Amplification Coupled with Magnetic Aggregation. Int J Nanomedicine 2023; 18:3211-3230. [PMID: 37337576 PMCID: PMC10276994 DOI: 10.2147/ijn.s410080] [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: 03/14/2023] [Accepted: 06/05/2023] [Indexed: 06/21/2023] Open
Abstract
Purpose Circulating tumor DNA (ctDNA) is more representative and accurate than biopsy and is also conducive to dynamic monitoring, facilitating accurate diagnosis and prognosis of glioma. Therefore, the present study aimed to establish and validate a novel amplified method for the detection of IDH1 R132H and BRAF V600E, which were associated with the genetic diagnosis of glioma. Patients and Methods A dual-signal amplification method based on magnetic aggregation and catalytic hairpin assembly (CHA) was constructed for the simultaneous detection of ctDNAs. When target ctDNAs are present, the CHA reaction is initiated and leads to the assembly of Au-Ag nanoshuttles (Au-Ag NSs) onto magnetic beads (MBs). Further enrichment of MBs under an external magnetic field facilitated the dual-signal amplification of SERS. Results The limit of detection (LOD) for IDH1 R132H and BRAF V600E in serum was as low as 6.01 aM and 5.48 aM. The reproducibility and selectivity of the proposed SERS analysis platform was satisfactory. Finally, the platform was applied to quantify IDH1 R132H and BRAF V600E in the serum of subcutaneous-tumor‑bearing nude mice, and the results obtained by SERS were consistent with those from quantitative real-time polymerase chain reaction (qRT-PCR). Conclusion The present study showed that the dual-signal amplification method is a simple and ultrasensitive strategy for gliomas-associated ctDNAs detection, which is crucial for early diagnosis and dynamic monitoring.
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Affiliation(s)
- Youwei Wang
- Department of Neurosurgery, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
| | - Yang Yang
- Department of Clinical Laboratory, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
| | - Xiaowei Cao
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
| | - Zhensheng Liu
- Department of Interventional Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
| | - Bing Chen
- Department of neurosurgery, The Affiliated hospital of Qingdao University, Qingdao, Shandong Province, People’s Republic of China
| | - Qiu Du
- Department of Neurosurgery, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
| | - Xiaoxia Lu
- Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People’s Republic of China
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28
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Kim Y, Kim KH, Park J, Yoon HI, Sung W. Prognosis prediction for glioblastoma multiforme patients using machine learning approaches: Development of the clinically applicable model. Radiother Oncol 2023; 183:109617. [PMID: 36921767 DOI: 10.1016/j.radonc.2023.109617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND AND PURPOSE We aimed to develop a clinically applicable prognosis prediction model predicting overall survival (OS) and progression-free survival (PFS) for glioblastoma multiforme (GBM) patients. MATERIALS AND METHODS All 467 patients treated with concurrent chemoradiotherapy at Yonsei Cancer Center from 2016 to 2020 were included in this study. We developed a conventional linear regression, Cox proportional hazards (COX), and non-linear machine learning algorithms, random survival forest (RSF) and survival support vector machine (SVM) based on 16 clinical variables. After backward feature selection and hyperparameter tuning using grid search, we repeated 100 times of cross-validations to combat overfitting and enhance the model performance. Harrell's concordance index (C-index) and integrated brier score (IBS) were employed as quantitative performance metrics. RESULTS In both predictions, RSF performed much better than COX and SVM. (For OS prediction: RSF C-index = 0.72 90%CI [0.71-0.72] and IBS = 0.12 90%CI [0.10-0.13]; For PFS prediction: RSF C-index = 0.70 90%CI [0.70-0.71] and IBS = 0.12 90%CI [0.10-0.14]). Permutation feature importance confirmed that MGMT promoter methylation, extent of resection, age, cone down planning target volume, and subventricular zone involvement are significant prognostic factors for OS. The importance of the extent of resection and MGMT promoter methylation was much higher than other selected input factors in PFS. Our final models accurately stratified two risk groups with root mean square errors less than 0.07. The sensitivity analysis revealed that our final models are highly applicable to newly diagnosed GBM patients. CONCLUSION Our final models can provide a reliable outcome prediction for individual GBM. The final OS and PFS predicting models we developed accurately stratify high-risk groups up to 5-years, and the sensitivity analysis confirmed that both final models are clinically applicable.
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Affiliation(s)
- Yeseul Kim
- Department of Biomedical Engineering and of Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul 137-70, South Korea
| | - Kyung Hwan Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Junyoung Park
- Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
| | - Wonmo Sung
- Department of Biomedical Engineering and of Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul 137-70, South Korea.
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29
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Fang X, Wu F, Jiang C. A novel gene, TARDBP, and the protein it encodes can predict glioma patient prognosis and establish a prediction model. BMC Neurol 2023; 23:182. [PMID: 37147573 PMCID: PMC10163712 DOI: 10.1186/s12883-023-03224-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/24/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND TDP-43 (43-kD transactive response DNA-binding protein) is a DNA-/RNA-binding protein that plays an important role in several nervous system diseases, such as amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Whether it plays an important role in glioma patients is unknown. METHODS Datasets were downloaded from the Chinese Glioma Genome Atlas (CGGA) website ( http://www.cgga.org.cn/ ). Cox survival analysis was performed to determine the relationship between TARDBP gene expression and the overall survival of glioma patients. GO analyses were performed to determine the biological functions of the TARDBP gene. Finally, we used PRS type, age, grade, IDH mutation status, 1p/19q codeletion status, and expression value of the TARDBP gene to construct a prediction model. With this model, we can predict patients' 1-, 2-, 3-, 5-, and 10-year survival rates. RESULTS The TARDBP gene plays an important role in glioma patients. The expression of the TARDBP gene has a significant correlation with glioma patient survival. We also constructed an ideal prediction model. CONCLUSION Our findings suggest that the TARDBP gene and the protein it encodes play important roles in glioma patients. The expression of the TARDBP gene has a significant correlation with the overall survival of glioma patients.
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Affiliation(s)
- Xu Fang
- Department of Neurosurgery, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China
| | - Fan Wu
- Department of Orthopaedics and Traumatology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chen Jiang
- Department of Neurosurgery Intensive Care Unit, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
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30
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Dai Z, Zhang N, Zhou R, Zhang H, Zhang L, Wang Z, Zeng W, Luo P, Zhang J, Liu Z, Cheng Q. Identification of a single cell-based signature for predicting prognosis risk and immunotherapy response in patients with glioblastoma. Clin Immunol 2023; 251:109345. [PMID: 37100336 DOI: 10.1016/j.clim.2023.109345] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/20/2022] [Accepted: 04/14/2023] [Indexed: 04/28/2023]
Abstract
This study constructed a novel gene pair signature based on bulk and single-cell sequencing samples in relative expression order within the samples. The subsequent analysis included glioma samples from Xiangya Hospital. Gene pair signatures possessed a solid ability to predict the prognosis of glioblastoma and pan-cancer. Samples having different malignant biological hallmarks were distinguished by the algorithm, with the high gene pair score group featuring classic copy number variations, oncogenic mutations, and extensive hypomethylation, mediating poor prognosis. The increased gene pair score group with a poorer prognosis demonstrated significant enrichment in tumor and immune-related signaling pathways while presenting immunological diversity. The remarkable infiltration of M2 macrophages in the high gene pair score group was validated by multiplex immunofluorescence, suggesting that combination therapies targeting adaptive and innate immunity may serve as a therapeutic option. Overall, a gene pair signature applicable to predict prognosis hopefully provides a reference to guide clinical practice.
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Affiliation(s)
- Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China
| | - Nan Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; One-Third Lab, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150088, China
| | - Ran Zhou
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China; Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Hao Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China
| | - Liyang Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China; Department of Medicine, The University of Oklahoma Health Sciences Center, OK 73104, USA; Clinical Diagnosis and Therapeutic Center of Glioma, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Zeyu Wang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China
| | - Wenjing Zeng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410078, China.
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410078, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410078, China; Clinical Diagnosis and Therapeutic Center of Glioma, Xiangya Hospital, Central South University, Changsha 410078, China.
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31
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Eatmann AI, Hamouda E, Hamouda H, Farouk HK, Jobran AWM, Omar AA, Madeeh AK, Al-Dardery NM, Elnoamany S, Abd-Elnasser EG, Koraiem AM, Ahmed AA, Abouzid M, Karaźniewicz-Łada M. Potential Use of Thalidomide in Glioblastoma Treatment: An Updated Brief Overview. Metabolites 2023; 13:metabo13040543. [PMID: 37110201 PMCID: PMC10146416 DOI: 10.3390/metabo13040543] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 04/29/2023] Open
Abstract
Glioblastoma is the most common malignant primary brain tumor in adults. Thalidomide is a vascular endothelial growth factor inhibitor that demonstrates antiangiogenic activity, and may provide additive or synergistic anti-tumor effects when co-administered with other antiangiogenic medications. This study is a comprehensive review that highlights the potential benefits of using thalidomide, in combination with other medications, to treat glioblastoma and its associated inflammatory conditions. Additionally, the review examines the mechanism of action of thalidomide in different types of tumors, which may be beneficial in treating glioblastoma. To our knowledge, a similar study has not been conducted. We found that thalidomide, when used in combination with other medications, has been shown to produce better outcomes in several conditions or symptoms, such as myelodysplastic syndromes, multiple myeloma, Crohn's disease, colorectal cancer, renal failure carcinoma, breast cancer, glioblastoma, and hepatocellular carcinoma. However, challenges may persist for newly diagnosed or previously treated patients, with moderate side effects being reported, particularly with the various mechanisms of action observed for thalidomide. Therefore, thalidomide, used alone, may not receive significant attention for use in treating glioblastoma in the future. Conducting further research by replicating current studies that show improved outcomes when thalidomide is combined with other medications, using larger sample sizes, different demographic groups and ethnicities, and implementing enhanced therapeutic protocol management, may benefit these patients. A meta-analysis of the combinations of thalidomide with other medications in treating glioblastoma is also needed to investigate its potential benefits further.
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Affiliation(s)
- Ahmed Ismail Eatmann
- Department of Cell Biophysics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University in Kraków, 31-007 Kraków, Poland
| | - Esraa Hamouda
- Faculty of Medicine, Menoufia University, Menoufia P.O. Box 5744, Egypt
| | - Heba Hamouda
- Faculty of Medicine, Menoufia University, Menoufia P.O. Box 5744, Egypt
| | | | - Afnan W M Jobran
- Faculty of Medicine, Al Quds University, Jerusalem P.O. Box 51000, Palestine
| | - Abdallah A Omar
- Department of Pharmaceutical Services and Sciences, Children's Cancer Hospital Egypt (CCHE-57357), Cairo 11617, Egypt
| | | | | | - Salma Elnoamany
- Faculty of Medicine, Menoufia University, Menoufia P.O. Box 5744, Egypt
| | | | | | - Alhassan Ali Ahmed
- Department of Bioinformatics and Computational Biology, Poznan University of Medical Sciences, 60-812 Poznan, Poland
- Doctoral School, Poznan University of Medical Sciences, 60-812 Poznan, Poland
| | - Mohamed Abouzid
- Doctoral School, Poznan University of Medical Sciences, 60-812 Poznan, Poland
- Department of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Rokietnicka 3 St., 60-806 Poznan, Poland
| | - Marta Karaźniewicz-Łada
- Department of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Rokietnicka 3 St., 60-806 Poznan, Poland
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32
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Tuna G, Bekar NED, İşlekel S, İşlekel GH. Urinary 8-hydroxy-2'-deoxyguanosine levels are elevated in patients with IDH1-wildtype glioblastoma and are associated with tumor recurrence in gliomas. DNA Repair (Amst) 2023; 124:103463. [PMID: 36841018 DOI: 10.1016/j.dnarep.2023.103463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 02/17/2023]
Abstract
2021 World Health Organization (WHO) Central Nervous System (CNS) Tumor Classification includes molecular diagnostic parameters such as isocitrate dehydrogenase (IDH) mutation or 1p19q codeletion status, in addition to the classical histological classification. Several studies have revealed that patients with IDH1 mutation have a longer survival rate compared to wildtype individuals. In glioma cells, increased oxidative stress has been identified. However, till now, the relation between oxidative stress levels and IDH1 mutation status in those patients was not examined. Therefore, the aim of this study was to investigate the urinary levels of oxidatively induced DNA damage products, 8-hydroxy-2'- deoxyguanosine (8-OH-dG), (5'R) and (5'S)-8,5'-cyclo-2'-deoxyadenosines (R-cdA and S-cdA) as reliable oxidative stress markers in patients with IDH1-wildtype (n = 20) and IDH1-mutant (n = 22) glioma. Absolute quantification of 8-OH-dG, R-cdA and S-cdA was achieved by liquid chromatography-tandem mass spectrometry with isotope dilution. The levels of 8-OH-dG were significantly greater in IDH1-wildtype glioma patients than those in IDH1-mutant ones (p = 0.017). No statistically significant difference was observed for R-cdA and S-cdA levels. 8-OH-dG levels were positively correlated with patients' tumor recurrence in all patients (r = 0.382, p = 0.014). The mutation status of glioma is well correlated with oxidative stress. Examination of noninvasively measured oxidative DNA damage products along with IDH1 mutation status in glioma patients, might be particularly important in terms of evaluating and monitoring the effectiveness of treatment.
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Affiliation(s)
- Gamze Tuna
- Department of Molecular Medicine, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey.
| | - Nazlı Ecem Dal Bekar
- Department of Medical Biochemistry, Faculty of Medicine, Izmir University of Economics, Izmir, Turkey
| | - Sertaç İşlekel
- Department of Neurosurgery, Medicana Hospital, Izmir, Turkey
| | - Gül Hüray İşlekel
- Department of Molecular Medicine, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey; Department of Medical Biochemistry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
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33
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Baqai MWS, Aziz HF, Qazi SS, Faisal KS, Shah SMI. Glioblastoma imitating a cavernoma radiologically: A unique image report. Surg Neurol Int 2023; 14:112. [PMID: 37151445 PMCID: PMC10159318 DOI: 10.25259/sni_976_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
Background:
Glioblastoma is the most common primary malignant brain tumor with characteristic radiological features in most cases.
Case Description:
We highlight an unusual case of a 54-year-old woman, neurologically intact, with a diagnostically challenging lesion. The patient’s magnetic resonance imaging revealed a left frontal lesion with surrounding edema and a hemosiderin ring, misleading it to be a cavernoma. Intraoperatively, the lesion was found to be a solid tumor with hematoma and was confirmed to be glioblastoma on histopathology.
Conclusion:
The dilemma associated with our patient’s radiological findings and longstanding history of epilepsy is rare and a diagnostic challenge.
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34
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Loras A, Gonzalez-Bonet LG, Gutierrez-Arroyo JL, Martinez-Cadenas C, Marques-Torrejon MA. Neural Stem Cells as Potential Glioblastoma Cells of Origin. Life (Basel) 2023; 13:life13040905. [PMID: 37109434 PMCID: PMC10145968 DOI: 10.3390/life13040905] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the most malignant brain tumor in adults and it remains incurable. These tumors are very heterogeneous, resistant to cytotoxic therapies, and they show high rates of invasiveness. Therefore, patients face poor prognosis, and the survival rates remain very low. Previous research states that GBM contains a cell population with stem cell characteristics called glioma stem cells (GSCs). These cells are able to self-renew and regenerate the tumor and, therefore, they are partly responsible for the observed resistance to therapies and tumor recurrence. Recent data indicate that neural stem cells (NSCs) in the subventricular zone (SVZ) are the cells of origin of GBM, that is, the cell type acquiring the initial tumorigenic mutation. The involvement of SVZ-NSCs is also associated with GBM progression and recurrence. Identifying the cellular origin of GBM is important for the development of early detection techniques and the discovery of early disease markers. In this review, we analyze the SVZ-NSC population as a potential GBM cell of origin, and its potential role for GBM therapies.
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Affiliation(s)
- Alba Loras
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
- Department of Medicine, Jaume I University of Castellon, 12071 Castellon de la Plana, Spain
| | - Luis G. Gonzalez-Bonet
- Department of Neurosurgery, Castellon General University Hospital, 12004 Castellon de la Plana, Spain
| | - Julia L. Gutierrez-Arroyo
- Department of Medicine, Jaume I University of Castellon, 12071 Castellon de la Plana, Spain
- Department of Neurosurgery, Castellon General University Hospital, 12004 Castellon de la Plana, Spain
| | | | - Maria Angeles Marques-Torrejon
- Department of Medicine, Jaume I University of Castellon, 12071 Castellon de la Plana, Spain
- Correspondence: ; Tel.: +34-964-387-478
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Ius T, Sabatino G, Panciani PP, Fontanella MM, Rudà R, Castellano A, Barbagallo GMV, Belotti F, Boccaletti R, Catapano G, Costantino G, Della Puppa A, Di Meco F, Gagliardi F, Garbossa D, Germanò AF, Iacoangeli M, Mortini P, Olivi A, Pessina F, Pignotti F, Pinna G, Raco A, Sala F, Signorelli F, Sarubbo S, Skrap M, Spena G, Somma T, Sturiale C, Angileri FF, Esposito V. Surgical management of Glioma Grade 4: technical update from the neuro-oncology section of the Italian Society of Neurosurgery (SINch®): a systematic review. J Neurooncol 2023; 162:267-293. [PMID: 36961622 PMCID: PMC10167129 DOI: 10.1007/s11060-023-04274-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/20/2023] [Indexed: 03/25/2023]
Abstract
PURPOSE The extent of resection (EOR) is an independent prognostic factor for overall survival (OS) in adult patients with Glioma Grade 4 (GG4). The aim of the neuro-oncology section of the Italian Society of Neurosurgery (SINch®) was to provide a general overview of the current trends and technical tools to reach this goal. METHODS A systematic review was performed. The results were divided and ordered, by an expert team of surgeons, to assess the Class of Evidence (CE) and Strength of Recommendation (SR) of perioperative drugs management, imaging, surgery, intraoperative imaging, estimation of EOR, surgery at tumor progression and surgery in elderly patients. RESULTS A total of 352 studies were identified, including 299 retrospective studies and 53 reviews/meta-analysis. The use of Dexamethasone and the avoidance of prophylaxis with anti-seizure medications reached a CE I and SR A. A preoperative imaging standard protocol was defined with CE II and SR B and usefulness of an early postoperative MRI, with CE II and SR B. The EOR was defined the strongest independent risk factor for both OS and tumor recurrence with CE II and SR B. For intraoperative imaging only the use of 5-ALA reached a CE II and SR B. The estimation of EOR was established to be fundamental in planning postoperative adjuvant treatments with CE II and SR B and the stereotactic image-guided brain biopsy to be the procedure of choice when an extensive surgical resection is not feasible (CE II and SR B). CONCLUSIONS A growing number of evidences evidence support the role of maximal safe resection as primary OS predictor in GG4 patients. The ongoing development of intraoperative techniques for a precise real-time identification of peritumoral functional pathways enables surgeons to maximize EOR minimizing the post-operative morbidity.
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Affiliation(s)
- Tamara Ius
- Division of Neurosurgery, Head-Neck and NeuroScience Department, University Hospital of Udine, Udine, Italy
| | - Giovanni Sabatino
- Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome, Italy
- Unit of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
| | - Pier Paolo Panciani
- Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
| | - Marco Maria Fontanella
- Department of Neuro-Oncology, University of Turin and City of Health and Science Hospital, 10094, Torino, Italy
| | - Roberta Rudà
- Department of Neuro-Oncology, University of Turin and City of Health and Science Hospital, 10094, Torino, Italy
- Neurology Unit, Hospital of Castelfranco Veneto, 31033, Castelfranco Veneto, Italy
| | - Antonella Castellano
- Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | - Giuseppe Maria Vincenzo Barbagallo
- Department of Medical and Surgical Sciences and Advanced Technologies (G.F. Ingrassia), Neurological Surgery, Policlinico "G. Rodolico - San Marco" University Hospital, University of Catania, Catania, Italy
- Interdisciplinary Research Center On Brain Tumors Diagnosis and Treatment, University of Catania, Catania, Italy
| | - Francesco Belotti
- Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | | | - Giuseppe Catapano
- Division of Neurosurgery, Department of Neurological Sciences, Ospedale del Mare, Naples, Italy
| | | | - Alessandro Della Puppa
- Neurosurgical Clinical Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi Hospital, University of Florence, Florence, Italy
| | - Francesco Di Meco
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Johns Hopkins Medical School, Baltimore, MD, USA
| | - Filippo Gagliardi
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | - Diego Garbossa
- Department of Neuroscience "Rita Levi Montalcini," Neurosurgery Unit, University of Turin, Torino, Italy
| | | | - Maurizio Iacoangeli
- Department of Neurosurgery, Università Politecnica Delle Marche, Azienda Ospedali Riuniti, Ancona, Italy
| | - Pietro Mortini
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | | | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Milan, Italy
- Neurosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Milan, Italy
| | - Fabrizio Pignotti
- Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome, Italy
- Unit of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
| | - Giampietro Pinna
- Unit of Neurosurgery, Department of Neurosciences, Hospital Trust of Verona, 37134, Verona, Italy
| | - Antonino Raco
- Division of Neurosurgery, Department of NESMOS, AOU Sant'Andrea, Sapienza University, Rome, Italy
| | - Francesco Sala
- Department of Neurosciences, Biomedicines and Movement Sciences, Institute of Neurosurgery, University of Verona, 37134, Verona, Italy
| | - Francesco Signorelli
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, Neurosurgery Unit, University "Aldo Moro", 70124, Bari, Italy
| | - Silvio Sarubbo
- Department of Neurosurgery, Santa Chiara Hospital, Azienda Provinciale Per I Servizi Sanitari (APSS), Trento, Italy
| | - Miran Skrap
- Division of Neurosurgery, Head-Neck and NeuroScience Department, University Hospital of Udine, Udine, Italy
| | | | - Teresa Somma
- Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università Degli Studi Di Napoli Federico II, Naples, Italy
| | | | | | - Vincenzo Esposito
- Department of Neurosurgery "Giampaolo Cantore"-IRCSS Neuromed, Pozzilli, Italy
- Department of Human, Neurosciences-"Sapienza" University of Rome, Rome, Italy
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Guo Q, Gao X, Li J, Liu Y, Liu J, Yang H, Cui M, Zhang M, Duan L, Ma X. High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma. Sci Rep 2023; 13:3820. [PMID: 36882457 PMCID: PMC9992371 DOI: 10.1038/s41598-023-30413-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/22/2023] [Indexed: 03/09/2023] Open
Abstract
The procollagen C-protease enhancer (PCOLCE) has been identified to influence tumor growth and metastasis in multiple cancers. However, the relationship between PCOLCE activity and the progression of gliomas remains largely unknown. Glioma RNA-seq data were derived from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas databases for analysis. Kaplan-Meier survival curve, clinical characterization correlation, univariate and multivariate Cox, and receiver operating characteristic curve analyses were performed to assess the prognostic role of PCOLCE. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis were used to determine the functions or pathways associated with PCOLCE. The ESTIMATE and CIBERSORT algorithms, Spearman's rank correlation analysis, and Tumor Immune Estimation Resource (TIMER) databases were used to explore the relationship between PCOLCE and immune infiltration. Correlation analysis between PCOLCE, related genes, and immune cell markers was conducted using the TIMER database. Immunophenoscore assays were performed to determine differential PCOLCE expression levels in glioma. The sensitivity of multi-drugs were determined to explore potential chemotherapeutic agents in between PCOLCE. Compared to normal brain tissue, PCOLCE expression was increased in glioma and correlated with shorter overall survival (OS). Furthermore, significant differences were observed in the immune scores and immune cell infiltration levels. PCOLCE is positively associated with immune checkpoints and many immune markers. Additionally, PCOLCE expression was higher in gliomas with higher IPS Z-scores in CGGA. High expression of PCOLCE increased sensitivity to multiple chemotherapy agents in CGGA (P < 0.001), and TCGA. These results suggest that PCOLCE significantly influences the prognosis of patients with glioma, can serve as an independent prognostic factor, and is related to tumor immunity. PCOLCE may be a novel immune-related target for treating gliomas. Additionally, analysis of chemosensitivity in gliomas with high PCOLCE expression may provide a promising direction for drug development.
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Affiliation(s)
- Qingbao Guo
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Xin Gao
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jingjie Li
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Yukun Liu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jiayu Liu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Hui Yang
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Meng Cui
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Meng Zhang
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Lian Duan
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
| | - Xiaodong Ma
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
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Waqar M, Roncaroli F, Djoukhadar I, Akkari L, O'Leary C, Hewitt L, Forte G, Jackson R, Hessen E, Withington L, Beasley W, Richardson J, Golby C, Whitehurst P, Colaco R, Bailey M, Karabatsou K, D'Urso PI, McBain C, Coope DJ, Borst GR. Study protocol: PreOperative Brain Irradiation in Glioblastoma (POBIG) - A phase I trial. Clin Transl Radiat Oncol 2023; 39:100585. [PMID: 36845633 PMCID: PMC9947330 DOI: 10.1016/j.ctro.2023.100585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/12/2023] [Accepted: 01/15/2023] [Indexed: 01/19/2023] Open
Abstract
Background Glioblastoma is a high-grade aggressive neoplasm whose outcomes have not changed in decades. In the current treatment pathway, tumour growth continues and remains untreated for several weeks post-diagnosis. Intensified upfront therapy could target otherwise untreated tumour cells and improve the treatment outcome. POBIG will evaluate the safety and feasibility of single-fraction preoperative radiotherapy for newly diagnosed glioblastoma, assessed by the maximum tolerated dose (MTD) and maximum tolerated irradiation volume (MTIV). Methods POBIG is an open-label, dual-centre phase I dose and volume escalation trial that has received ethical approval. Patients with a new radiological diagnosis of glioblastoma will be screened for eligibility. This is deemed sufficient due to the high accuracy of imaging and to avoid treatment delay. Eligible patients will receive a single fraction of preoperative radiotherapy ranging from 6 to 14 Gy followed by their standard of care treatment comprising maximal safe resection and postoperative chemoradiotherapy (60 Gy/30 fr) with concurrent and adjuvant temozolomide). Preoperative radiotherapy will be directed to the part of the tumour that is highest risk for remaining as postoperative residual disease (hot spot). Part of the tumour will remain unirradiated (cold spot) and sampled separately for diagnostic purposes. Dose/volume escalation will be guided by a Continual Reassessment Method (CRM) model. Translational opportunities will be afforded through comparison of irradiated and unirradiated primary glioblastoma tissue. Discussion POBIG will help establish the role of radiotherapy in preoperative modalities for glioblastoma. Trial registration NCT03582514 (clinicaltrials.gov).
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Affiliation(s)
- Mueez Waqar
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health & Manchester Cancer Research Centre, Manchester Academic Health Science Centre (MAHSC), University of Manchester, United Kingdom
| | - Federico Roncaroli
- Department of Neuropathology, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health & Manchester Cancer Research Centre, Manchester Academic Health Science Centre (MAHSC), University of Manchester, United Kingdom
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Leila Akkari
- Division of Tumour Biology and Immunology, The Netherlands Cancer Institute, Oncode Institute, Amsterdam, The Netherlands
| | - Claire O'Leary
- Department of Neuropathology, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health & Manchester Cancer Research Centre, Manchester Academic Health Science Centre (MAHSC), University of Manchester, United Kingdom
| | - Lauren Hewitt
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health & Manchester Cancer Research Centre, Manchester Academic Health Science Centre (MAHSC), University of Manchester, United Kingdom
| | - Gabriella Forte
- Department of Neuropathology, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Richard Jackson
- Department of Statistics, Liverpool Clinical Trials Unit, University of Liverpool, United Kingdom
| | - Eline Hessen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lisa Withington
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - William Beasley
- Department of Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Jenny Richardson
- Department of Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Christopher Golby
- Department of Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Philip Whitehurst
- Department of Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Rovel Colaco
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Matthew Bailey
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Konstantina Karabatsou
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Pietro I. D'Urso
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Catherine McBain
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - David J. Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences & Geoffrey Jefferson Brain Research Centre, Northern Care Alliance NHS Foundation Trust, Salford Royal, Salford, United Kingdom
| | - Gerben R. Borst
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health & Manchester Cancer Research Centre, Manchester Academic Health Science Centre (MAHSC), University of Manchester, United Kingdom
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
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Roh J, Im M, Kang J, Youn B, Kim W. Long non-coding RNA in glioma: novel genetic players in temozolomide resistance. Anim Cells Syst (Seoul) 2023; 27:19-28. [PMID: 36819921 PMCID: PMC9937017 DOI: 10.1080/19768354.2023.2175497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
Glioma is the most common primary malignant brain tumor in adults and accounts for approximately 80% of brain and central nervous system tumors. In 2021, the World Health Organization (WHO) published a new taxonomy for glioma based on its histological features and molecular alterations. Isocitrate dehydrogenase (IDH) catalyzes the decarboxylation of isocitrate, a critical metabolic reaction in energy generation in cells. Mutations in the IDH genes interrupt cell differentiation and serve as molecular biomarkers that can be used to classify gliomas. For example, the mutant IDH is widely detected in low-grade gliomas, whereas the wild type is in high-grade ones, including glioblastomas. Long non-coding RNAs (lncRNAs) are epigenetically involved in gene expression and contribute to glioma development. To investigate the potential use of lncRNAs as biomarkers, we examined lncRNA dysregulation dependent on the IDH mutation status. We found that several lncRNAs, namely, AL606760.2, H19, MALAT1, PVT1 and SBF2-AS1 may function as glioma risk factors, whereas AC068643.1, AC079228.1, DGCR5, FAM13A-AS1, HAR1A and WDFY3-AS2 may have protective effects. Notably, H19, MALAT1, PVT1, and SBF2-AS1 have been associated with temozolomide resistance in glioma patients. This review study suggests that targeting glioma-associated lncRNAs might aid the treatment of glioma.
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Affiliation(s)
- Jungwook Roh
- Department of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea
| | - Mijung Im
- Department of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea
| | - JiHoon Kang
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory, Emory University School of Medicine, Atlanta, GA, USA
| | - BuHyun Youn
- Department of Biological Sciences, Pusan National University, Busan, Republic of Korea, BuHyun Youn Department of Biological Sciences, Pusan National University, Busandaehak-ro 63beon-gil 2, Geumjeong-gu, Busan46241, Republic of Korea; Wanyeon Kim Department of Biology Education, Korea National University of Education, 250 Taeseongtabyeon-ro, Gangnae-myeon, Heungdeok-gu, Cheongju-si, Chungbuk28173, Republic of Korea
| | - Wanyeon Kim
- Department of Science Education, Korea National University of Education, Cheongju-si, Republic of Korea,Department of Biology Education, Korea National University of Education, Cheongju-si, Republic of Korea, BuHyun Youn Department of Biological Sciences, Pusan National University, Busandaehak-ro 63beon-gil 2, Geumjeong-gu, Busan46241, Republic of Korea; Wanyeon Kim Department of Biology Education, Korea National University of Education, 250 Taeseongtabyeon-ro, Gangnae-myeon, Heungdeok-gu, Cheongju-si, Chungbuk28173, Republic of Korea
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Importance of Age and Noncontrast-Enhancing Tumor as Biomarkers for Isocitrate Dehydrogenase-Mutant Glioblastoma: A Multicenter Study. J Comput Assist Tomogr 2023:00004728-990000000-00142. [PMID: 36877775 DOI: 10.1097/rct.0000000000001456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
PURPOSE This study aimed to investigate the most useful clinical and magnetic resonance imaging (MRI) parameters for differentiating isocitrate dehydrogenase (IDH)-mutant and -wildtype glioblastomas in the 2016 World Health Organization Classification of Tumors of the Central Nervous System. METHODS This multicenter study included 327 patients with IDH-mutant or IDH-wildtype glioblastoma in the 2016 World Health Organization classification who preoperatively underwent MRI. Isocitrate dehydrogenase mutation status was determined by immunohistochemistry, high-resolution melting analysis, and/or IDH1/2 sequencing. Three radiologists independently reviewed the tumor location, tumor contrast enhancement, noncontrast-enhancing tumor (nCET), and peritumoral edema. Two radiologists independently measured the maximum tumor size and mean and minimum apparent diffusion coefficients of the tumor. Univariate and multivariate logistic regression analyses with an odds ratio (OR) were performed. RESULTS The tumors were IDH-wildtype glioblastoma in 306 cases and IDH-mutant glioblastoma in 21. Interobserver agreement for both qualitative and quantitative evaluations was moderate to excellent. The univariate analyses revealed a significant difference in age, seizure, tumor contrast enhancement, and nCET (P < 0.05). The multivariate analysis revealed significant difference in age for all 3 readers (reader 1, odds ratio [OR] = 0.960, P = 0.012; reader 2, OR = 0.966, P = 0.048; reader 3, OR = 0.964, P = 0.026) and nCET for 2 readers (reader 1, OR = 3.082, P = 0.080; reader 2, OR = 4.500, P = 0.003; reader 3, OR = 3.078, P = 0.022). CONCLUSIONS Age and nCET are the most useful parameters among the clinical and MRI parameters for differentiating IDH-mutant and IDH-wildtype glioblastomas.
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The Interleukin-11/IL-11 Receptor Promotes Glioblastoma Survival and Invasion under Glucose-Starved Conditions through Enhanced Glutaminolysis. Int J Mol Sci 2023; 24:ijms24043356. [PMID: 36834778 PMCID: PMC9960532 DOI: 10.3390/ijms24043356] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/10/2023] Open
Abstract
Glioblastoma cells adapt to changes in glucose availability through metabolic plasticity allowing for cell survival and continued progression in low-glucose concentrations. However, the regulatory cytokine networks that govern the ability to survive in glucose-starved conditions are not fully defined. In the present study, we define a critical role for the IL-11/IL-11Rα signalling axis in glioblastoma survival, proliferation and invasion when cells are starved of glucose. We identified enhanced IL-11/IL-11Rα expression correlated with reduced overall survival in glioblastoma patients. Glioblastoma cell lines over-expressing IL-11Rα displayed greater survival, proliferation, migration and invasion in glucose-free conditions compared to their low-IL-11Rα-expressing counterparts, while knockdown of IL-11Rα reversed these pro-tumorigenic characteristics. In addition, these IL-11Rα-over-expressing cells displayed enhanced glutamine oxidation and glutamate production compared to their low-IL-11Rα-expressing counterparts, while knockdown of IL-11Rα or the pharmacological inhibition of several members of the glutaminolysis pathway resulted in reduced survival (enhanced apoptosis) and reduced migration and invasion. Furthermore, IL-11Rα expression in glioblastoma patient samples correlated with enhanced gene expression of the glutaminolysis pathway genes GLUD1, GSS and c-Myc. Overall, our study identified that the IL-11/IL-11Rα pathway promotes glioblastoma cell survival and enhances cell migration and invasion in environments of glucose starvation via glutaminolysis.
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Priambada D, Thohar Arifin M, Saputro A, Muzakka A, Karlowee V, Sadhana U, Bakhtiar Y, Prihastomo KT, Risdianto A, Brotoarianto HK, Andar E, Muttaqin Z. Immunohistochemical Expression of IDH1, ATRX, Ki67, GFAP, and Prognosis in Indonesian Glioma Patients. Int J Gen Med 2023; 16:393-403. [PMID: 36756391 PMCID: PMC9900491 DOI: 10.2147/ijgm.s397550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/07/2023] [Indexed: 02/04/2023] Open
Abstract
Background The current World Health Organization (WHO) 2021 classification of human glioma is based on key molecular biomarkers to define neoplastic entities. This review further delineates mutant IDH (isocitrate dehydrogenase) from wild-type IDH disease, a necessity given the large survival gap between mutant IDH and wild-type IDH tumors. In Indonesia, there are currently few reports on the distribution and significance of these mutations. Therefore, this research aims to determine the relationship between IDH mutations, as well as clinicopathological and prognostic factors in patients with gliomas. Other immunohistochemical markers including ATRX (alpha-thalassemia/mental retardation, X-linked), Ki67 and GFAP (glial fibrillary acidic protein) expression were also evaluated. Methods Forty-two glioma samples were collected from patients who underwent surgery at Dr. Kariadi General Hospital in Semarang, Central Java, Indonesia. Fresh and paraffin-embedded, formalin-fixed tissue samples were removed and sectioned for hematoxylin and eosin staining, immunohistochemistry, and IDH analysis of mutation. Medical records were used to collect clinicopathological and survival data. Results IDH1 mutations were discovered in 32 (76,1%) patients, and those with IDH1 mutation had longer overall survival when corresponded to patients with IDH1-wild-type. Lower expression of Ki67 was discovered to be very associated with a better prognosis. Conclusion IDH1 mutations status showed a significant relationship with prognosis in patients with glioma. Meanwhile, other markers (ATRX, Ki67, and GFAP) did not correlate with the prognosis.
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Affiliation(s)
- Dody Priambada
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Muhamad Thohar Arifin
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia,Correspondence: Muhamad Thohar Arifin, Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Dr. Soetomo Street Number 16-18, Semarang, Indonesia, Tel +62 813 2586 1628, Email
| | - Abdi Saputro
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Azka Muzakka
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Vega Karlowee
- Department of Clinical Pathology, Faculty of Medicine, Diponegoro University, Dr. Kariadi Hospital, Semarang, Indonesia
| | - Udadi Sadhana
- Department of Clinical Pathology, Faculty of Medicine, Diponegoro University, Dr. Kariadi Hospital, Semarang, Indonesia
| | - Yuriz Bakhtiar
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Krisna Tsaniadi Prihastomo
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Ajid Risdianto
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Happy Kurnia Brotoarianto
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Erie Andar
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
| | - Zainal Muttaqin
- Department of Neurosurgery, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia
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Johanssen T, McVeigh L, Erridge S, Higgins G, Straehla J, Frame M, Aittokallio T, Carragher NO, Ebner D. Glioblastoma and the search for non-hypothesis driven combination therapeutics in academia. Front Oncol 2023; 12:1075559. [PMID: 36733367 PMCID: PMC9886867 DOI: 10.3389/fonc.2022.1075559] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
Glioblastoma (GBM) remains a cancer of high unmet clinical need. Current standard of care for GBM, consisting of maximal surgical resection, followed by ionisation radiation (IR) plus concomitant and adjuvant temozolomide (TMZ), provides less than 15-month survival benefit. Efforts by conventional drug discovery to improve overall survival have failed to overcome challenges presented by inherent tumor heterogeneity, therapeutic resistance attributed to GBM stem cells, and tumor niches supporting self-renewal. In this review we describe the steps academic researchers are taking to address these limitations in high throughput screening programs to identify novel GBM combinatorial targets. We detail how they are implementing more physiologically relevant phenotypic assays which better recapitulate key areas of disease biology coupled with more focussed libraries of small compounds, such as drug repurposing, target discovery, pharmacologically active and novel, more comprehensive anti-cancer target-annotated compound libraries. Herein, we discuss the rationale for current GBM combination trials and the need for more systematic and transparent strategies for identification, validation and prioritisation of combinations that lead to clinical trials. Finally, we make specific recommendations to the preclinical, small compound screening paradigm that could increase the likelihood of identifying tractable, combinatorial, small molecule inhibitors and better drug targets specific to GBM.
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Affiliation(s)
- Timothy Johanssen
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Laura McVeigh
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Sara Erridge
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, United Kingdom
| | - Geoffrey Higgins
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Joelle Straehla
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Division of Pediatric Hematology/Oncology, Boston Children’s Hospital, Boston, MA, United States
| | - Margaret Frame
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Tero Aittokallio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Institute for Cancer Research, Department of Cancer Genetics, Oslo University Hospital, Oslo, Norway
- Centre for Biostatistics and Epidemiology (OCBE), Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Neil O. Carragher
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Daniel Ebner
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Oncology, University of Oxford, Oxford, United Kingdom
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Wang LM, Englander ZK, Miller ML, Bruce JN. Malignant Glioma. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1405:1-30. [PMID: 37452933 DOI: 10.1007/978-3-031-23705-8_1] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
This chapter provides a comprehensive overview of malignant gliomas, the most common primary brain tumor in adults. These tumors are varied in their cellular origin, genetic profile, and morphology under the microscope, but together they share some of the most dismal prognoses of all neoplasms in the body. Although there is currently no cure for malignant glioma, persistent efforts to improve outcomes in patients with these tumors have led to modest increases in survival, and researchers worldwide continue to strive toward a deeper understanding of the factors that influence glioma development and response to treatment. In addition to well-established epidemiology, clinical manifestations, and common histopathologic and radiologic features of malignant gliomas, this section considers recent advances in molecular biology that have led to a more nuanced understanding of the genetic changes that characterize the different types of malignant glioma, as well as their implications for treatment. Beyond the traditional classification of malignant gliomas based on histopathological features, this chapter incorporates the World Health Organization's 2016 criteria for the classification of brain tumors, with special focus on disease-defining genetic alterations and newly established subcategories of malignant glioma that were previously unidentifiable based on microscopic examination alone. Traditional therapeutic modalities that form the cornerstone of treatment for malignant glioma, such as aggressive surgical resection followed by adjuvant chemotherapy and radiation therapy, and the studies that support their efficacy are reviewed in detail. This provides a foundation for additional discussion of novel therapeutic methods such as immunotherapy and convection-enhanced delivery, as well as new techniques for enhancing extent of resection such as fluorescence-guided surgery.
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Affiliation(s)
- Linda M Wang
- Columbia University Irving Medical Center, New York, NY, 10032, USA
| | | | - Michael L Miller
- Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Jeffrey N Bruce
- Department of Neurosurgery, Columbia University Irving Medical Center, New York, NY, 10032, USA.
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Saha S, Sachdev M, Mitra SK. Recent advances in label-free optical, electrochemical, and electronic biosensors for glioma biomarkers. BIOMICROFLUIDICS 2023; 17:011502. [PMID: 36844882 PMCID: PMC9949901 DOI: 10.1063/5.0135525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Gliomas are the most commonly occurring primary brain tumor with poor prognosis and high mortality rate. Currently, the diagnostic and monitoring options for glioma mainly revolve around imaging techniques, which often provide limited information and require supervisory expertise. Liquid biopsy is a great alternative or complementary monitoring protocol that can be implemented along with other standard diagnosis protocols. However, standard detection schemes for sampling and monitoring biomarkers in different biological fluids lack the necessary sensitivity and ability for real-time analysis. Lately, biosensor-based diagnostic and monitoring technology has attracted significant attention due to several advantageous features, including high sensitivity and specificity, high-throughput analysis, minimally invasive, and multiplexing ability. In this review article, we have focused our attention on glioma and presented a literature survey summarizing the diagnostic, prognostic, and predictive biomarkers associated with glioma. Further, we discussed different biosensory approaches reported to date for the detection of specific glioma biomarkers. Current biosensors demonstrate high sensitivity and specificity, which can be used for point-of-care devices or liquid biopsies. However, for real clinical applications, these biosensors lack high-throughput and multiplexed analysis, which can be achieved via integration with microfluidic systems. We shared our perspective on the current state-of-the-art different biosensor-based diagnostic and monitoring technologies reported and the future research scopes. To the best of our knowledge, this is the first review focusing on biosensors for glioma detection, and it is anticipated that the review will offer a new pathway for the development of such biosensors and related diagnostic platforms.
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Affiliation(s)
| | - Manoj Sachdev
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Sushanta K. Mitra
- Micro and Nanoscale Transport Laboratory, Department of Mechanical and Mechatronics Engineering, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
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Raghu ALB, Chen JA, Valdes PA, Essayed WI, Claus E, Arnaout O, Smith TR, Chiocca EA, Peruzzi PP, Bernstock JD. Cerebellar High-Grade Glioma: A Translationally Oriented Review of the Literature. Cancers (Basel) 2022; 15:174. [PMID: 36612169 PMCID: PMC9818238 DOI: 10.3390/cancers15010174] [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] [Received: 11/29/2022] [Revised: 12/23/2022] [Accepted: 12/26/2022] [Indexed: 12/29/2022] Open
Abstract
World Health Organization (WHO) grade 4 gliomas of the cerebellum are rare entities whose understanding trails that of their supratentorial counterparts. Like supratentorial high-grade gliomas (sHGG), cerebellar high-grade gliomas (cHGG) preferentially affect males and prognosis is bleak; however, they are more common in a younger population. While current therapy for cerebellar and supratentorial HGG is the same, recent molecular analyses have identified features and subclasses of cerebellar tumors that may merit individualized targeting. One recent series of cHGG included the subclasses of (1) high-grade astrocytoma with piloid features (HGAP, ~31% of tumors); (2) H3K27M diffuse midline glioma (~8%); and (3) isocitrate dehydrogenase (IDH) wildtype glioblastoma (~43%). The latter had an unusually low-frequency of epidermal growth factor receptor (EGFR) and high-frequency of platelet-derived growth factor receptor alpha (PDGFRA) amplification, reflecting a different composition of methylation classes compared to supratentorial IDH-wildtype tumors. These new classifications have begun to reveal insights into the pathogenesis of HGG in the cerebellum and lead toward individualized treatment targeted toward the appropriate subclass of cHGG. Emerging therapeutic strategies include targeting the mitogen-activated protein kinases (MAPK) pathway and PDGFRA, oncolytic virotherapy, and immunotherapy. HGGs of the cerebellum exhibit biological differences compared to sHGG, and improved understanding of their molecular subclasses has the potential to advance treatment.
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Affiliation(s)
- Ashley L. B. Raghu
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Oxford Functional Neurosurgery Group, Nuffield Departments of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK
| | - Jason A. Chen
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurosurgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Pablo A. Valdes
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Walid Ibn Essayed
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurosurgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Elizabeth Claus
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Omar Arnaout
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Timothy R. Smith
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - E. Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Pier Paolo Peruzzi
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurosurgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Exploration of natural product database for the identification of potent inhibitor against IDH2 mutational variants for glioma therapy. J Mol Model 2022; 29:6. [PMID: 36484830 DOI: 10.1007/s00894-022-05409-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/04/2022] [Indexed: 12/13/2022]
Abstract
Mutation in isocitrate dehydrogenase 2 (mIDH2) is an oncogenic driver prevalently reported in various cancer types including gliomas. To date, enasidenib is the only FDA-approved drug widely used as a mIDH2 (R140Q) inhibitor. However, dose-limiting toxicity and modest brain penetrating capability restrict its use as a plausible mIDH2 inhibitor. Furthermore, secondary site mutations (Q316E and I319M) were identified in patients with enasidenib treatments resulting in acquired therapeutic resistance. Hence, in the present investigation, we aimed to identify novel and potent drug-like compounds to overcome the existing drawbacks using an integrated in-silico strategy. A sum of 1574 natural compounds from the naturally occurring plant-based anti-cancerous compound activity target (NPACT) database was proclaimed and subjected to molecular docking. The binding affinities of the resultant natural compounds were rescored using MM-GBSA scoring functions. The resultant lead molecules were subjected to anticancer activity prediction using the machine-learning model. Furthermore, the toxicity and drug-likeliness of the lead compounds were investigated using ADMET properties. Eventually, the integrated in silico approach resulted in a lead molecule, namely squalene (NPACT00954) against mIDH2 protein. The screened compound was subjected to mutational analysis accomplishing second-site mutations. Interestingly, squalene exhibited appreciable binding affinity alongside good brain penetrating potential than enasidenib. Indeed, the reproducibility and significance of our results are examined by running 3 replicas of 100-ns simulations per system using the random initial velocities of the atoms generated by Maxwell distribution at a given temperature. Thus, we hypothesize from our results that further optimization of squalene could be beneficial for the treatment and management of glioma in the near future.
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Gherasim-Morogai N, Afrasanie VA, Gafton B, Marinca MV, Alexa-Stratulat T. Can Extended Chemotherapy Improve Glioblastoma Outcomes? A Retrospective Analysis of Survival in Real-World Patients. J Pers Med 2022; 12:jpm12101670. [PMID: 36294809 PMCID: PMC9604763 DOI: 10.3390/jpm12101670] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 09/24/2022] [Accepted: 09/27/2022] [Indexed: 11/16/2022] Open
Abstract
Standard treatment for glioblastoma multiforme (GBM) is surgery followed by radiotherapy plus concurrent chemotherapy with daily temozolomide (TMZ), and six subsequent TMZ 5/28-day cycles. Research has focused on identifying more effective alternatives to the current protocol, including extension of the number of adjuvant TMZ cycles. We performed a retrospective analysis of all GBM patients treated in our hospital (160 patients, 2011−2020). Median follow-up was 16.0 months. Analysis of prognostic factors was performed with a particular focus on the benefit of extending TMZ chemotherapy. Improved survival correlated with younger age, female gender, good performance status, absence of cognitive dysfunctions, no steroid use, and total tumor resection. Median progression-free survival (PFS) was 12 months and median overall survival (OS) was 20.0 months for the entire cohort. Median OS by adjuvant TMZ was 10.0 months if no adjuvant chemotherapy given (group 0), 15.0 months for patients that did not complete six TMZ cycles (group A), 24.0 months for those that did (group B), and 29.0 months for patients having received more than six cycles (group C) (p < 0.0001). At the three-year mark, 15.9% patients were alive in group A, 24.4% in group B and 38.1% in group C. Carefully selected GBM patients may derive benefit from extending the standard adjuvant chemotherapy beyond six TMZ cycles, but more data is required.
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Affiliation(s)
| | | | - Bogdan Gafton
- Medical Oncology Department, Regional Institute of Oncology, 700483 Iasi, Romania
- Oncology Department, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania
| | - Mihai Vasile Marinca
- Medical Oncology Department, Regional Institute of Oncology, 700483 Iasi, Romania
- Oncology Department, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania
- Correspondence:
| | - Teodora Alexa-Stratulat
- Medical Oncology Department, Regional Institute of Oncology, 700483 Iasi, Romania
- Oncology Department, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania
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Dhinakaran AK, Ganesh S, Haldavnekar R, Tan B, Das S, Venkatakrishnan K. Holistic Analysis of Glioblastoma Stem Cell DNA Using Nanoengineered Plasmonic Metasensor for Glioblastoma Diagnosis. SMALL METHODS 2022; 6:e2200547. [PMID: 35908161 DOI: 10.1002/smtd.202200547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/27/2022] [Indexed: 06/15/2023]
Abstract
The clinical relevance of liquid biopsy for glioblastoma (GBM) remains undetermined due to practical and biological limitations such as absence of a reliable GBM-specific biomarker, trace levels in circulation due to the blood-brain-barrier, and lack of a sensitive method to detect the trace levels of biomarkers. It is hypothesized that GBM stem cell (GSC)-associated cell free DNA can function as reliable biomarker for GBM because it accounts for tumor heterogeneity and provide accurate molecular information about the cancer. An integrative methodology is used for GBM diagnosis by utilizing the sub-single molecular sensitivity of nanoengineered plasmonic metasensors for real-time genomic profiling of GSC DNA. The nanoengineered metasensors can detect the rare circulating GSC-DNA accurately from just 5 µL of blood and the test can be performed in under 10 min. Analysis of clinical serum samples from GBM patients and healthy volunteers demonstrates that the technology yielded an accurate classification of GBM in an independent validation cohort (accuracy 98.3%, specificity 100%). The methodology detects GBM-signatures from the patient blood rapidly within the half-life period of cfDNA in circulation, non-invasively and amplification-free with a high diagnostic accuracy. With clinical validation, this methodology can evolve as a clinically viable diagnostic tool for fatal and hard-to-detect cancer like GBM.
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Affiliation(s)
- Ashok Kumar Dhinakaran
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Ryerson University and St. Michael's Hospital, Toronto, Ontario, M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
- Nano-Bio Interface facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Swarna Ganesh
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Ryerson University and St. Michael's Hospital, Toronto, Ontario, M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
- Nano-Bio Interface facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Rupa Haldavnekar
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Ryerson University and St. Michael's Hospital, Toronto, Ontario, M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
- Nano-Bio Interface facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Bo Tan
- Nano-Bio Interface facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario, M5B 1W8, Canada
- Nanocharacterization Laboratory, Department of Aerospace Engineering, Ryerson University, Toronto, Ontario, M5B 2K3, Canada
| | - Sunit Das
- Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, M5B1W8, Canada
| | - Krishnan Venkatakrishnan
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
- Nano-Bio Interface facility, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario, M5B 1W8, Canada
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Cao TQ, Wainwright DA, Lee-Chang C, Miska J, Sonabend AM, Heimberger AB, Lukas RV. Next Steps for Immunotherapy in Glioblastoma. Cancers (Basel) 2022; 14:4023. [PMID: 36011015 PMCID: PMC9406905 DOI: 10.3390/cancers14164023] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/12/2022] [Accepted: 08/17/2022] [Indexed: 11/16/2022] Open
Abstract
Outcomes for glioblastoma (GBM) patients undergoing standard of care treatment remain poor. Here we discuss the portfolio of previously investigated immunotherapies for glioblastoma, including vaccine therapy and checkpoint inhibitors, as well as novel emerging therapeutic approaches. In addition, we explore the factors that potentially influence response to immunotherapy, which should be considered in future research aimed at improving immunotherapy efficacy.
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Affiliation(s)
- Toni Q. Cao
- Department of Neurology, Northwestern University, Chicago, IL 60611, USA
| | - Derek A. Wainwright
- Department of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
- Department of Medicine, Division of Hematology/Oncology, Northwestern University, Chicago, IL 60611, USA
- Department of Neuroscience, Northwestern University, Chicago, IL 60611, USA
- Department of Microbiology-Immunology, Northwestern University, Chicago, IL 60611, USA
| | - Catalina Lee-Chang
- Department of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
| | - Jason Miska
- Department of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
| | - Adam M. Sonabend
- Department of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
| | - Amy B. Heimberger
- Department of Neurological Surgery, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
| | - Rimas V. Lukas
- Department of Neurology, Northwestern University, Chicago, IL 60611, USA
- Lou & Jean Malnati Brain Tumor Institute, Chicago, IL 60611, USA
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50
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Zhang D, Zhu W, Guo J, Chen W, Gu X. Application of artificial intelligence in glioma researches: A bibliometric analysis. Front Oncol 2022; 12:978427. [PMID: 36033537 PMCID: PMC9403784 DOI: 10.3389/fonc.2022.978427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 07/25/2022] [Indexed: 12/04/2022] Open
Abstract
Background There have been no researches assessing the research trends of the application of artificial intelligence in glioma researches with bibliometric methods. Purpose The aim of the study is to assess the research trends of the application of artificial intelligence in glioma researches with bibliometric analysis. Methods Documents were retrieved from web of science between 1996 and 2022. The bibliometrix package from Rstudio was applied for data analysis and plotting. Results A total of 1081 documents were retrieved from web of science between 1996 and 2022. The annual growth rate was 30.47%. The top 5 most productive countries were the USA, China, Germany, France, and UK. The USA and China have the strongest international cooperative link. Machine learning, deep learning, radiomics, and radiogenomics have been the key words and trend topics. “Neuro-Oncology”, “Frontiers in Oncology”, and “Cancers” have been the top 3 most relevant journals. The top 3 most relevant institutions were University of Pennsylvania, Capital Medical University, and Fudan University. Conclusions With the growth of publications concerning the application of artificial intelligence in glioma researches, bibliometric analysis help researchers to get access to the international academic collaborations and trend topics in the research field.
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