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Tomoszková S, Škarda J, Lipina R. Potential Diagnostic and Clinical Significance of Selected Genetic Alterations in Glioblastoma. Int J Mol Sci 2024; 25:4438. [PMID: 38674026 PMCID: PMC11050250 DOI: 10.3390/ijms25084438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/08/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Glioblastoma is currently considered the most common and, unfortunately, also the most aggressive primary brain tumor, with the highest morbidity and mortality rates. The average survival of patients diagnosed with glioblastoma is 14 months, and only 2% of patients survive 3 years after surgery. Based on our clinical experience and knowledge from extensive clinical studies, survival is mainly related to the molecular biological properties of glioblastoma, which are of interest to the general medical community. Our study examined a total of 71 retrospective studies published from 2016 through 2022 and available on PubMed that deal with mutations of selected genes in the pathophysiology of GBM. In conclusion, we can find other mutations within a given gene group that have different effects on the prognosis and quality of survival of a patient with glioblastoma. These mutations, together with the associated mutations of other genes, as well as intratumoral heterogeneity itself, offer enormous potential for further clinical research and possible application in therapeutic practice.
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Affiliation(s)
- Silvia Tomoszková
- Neurosurgery Clinic, University Hospital Ostrava, 17. listopadu 1790/5, 708 00 Ostrava, Czech Republic;
- Medical Faculty, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic;
| | - Jozef Škarda
- Medical Faculty, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic;
- Institute of Molecular and Clinical Pathology and Medical Genetics, University Hospital Ostrava, 17. listopadu 1790/5, 708 00 Ostrava, Czech Republic
| | - Radim Lipina
- Neurosurgery Clinic, University Hospital Ostrava, 17. listopadu 1790/5, 708 00 Ostrava, Czech Republic;
- Medical Faculty, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic;
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Amer RG, Ezz El Arab LR, Abd El Ghany D, Saad AS, Bahie-Eldin N, Swellam M. Prognostic utility of lncRNAs (LINC00565 and LINC00641) as molecular markers in glioblastoma multiforme (GBM). J Neurooncol 2022; 158:435-444. [PMID: 35668225 PMCID: PMC9256564 DOI: 10.1007/s11060-022-04030-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022]
Abstract
Background and aim Glioblastoma multiforme (GBM) is primary brain tumor grade IV characterized by fast cell proliferation, high mortality and morbidity and most lethal gliomas. Molecular approaches underlying its pathogenesis and progression with diagnostic and prognostic value have been an area of interest. Long-non coding RNAs (lncRNAs) aberrantly expressed in GBM have been recently studied. The aim is to investigate the clinical role of lncRNA565 and lncRNA641 in GBM patients. Patients and methods Blood samples were withdrawn from 35 newly diagnosed GBM cases with 15 healthy individuals, then lncRNA565 and lncRNA641 expression were evaluated using real time-PCR. Their diagnostic efficacy was detected using receiver operating characteristic curve. Progression free survival (PFS) and overall survival (OS) were studied using Kaplan–Meier curves. Results lncRNAs expressions were increased significantly among GBM as compared to control group. Their expressions were correlated with clinico-pathological data and survival pattern for the studied GBM patients. Higher levels of both lncRNAs were correlated to worse performance status. Expression of lncRNA565 was increased with large tumor size (≥ 5 cm). Survival analysis showed that both investigated lncRNA were increased with worse PFS and OS. Conclusion Expression of lncRNA565 and lncRNA641 in a liquid biopsy sample can be used as prognostic biomarker for GBM patients.
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Affiliation(s)
- Rehab G Amer
- Clinical Oncology Department, Ain Shams University, Cairo, Egypt
| | | | | | - Amr S Saad
- Clinical Oncology Department, Ain Shams University, Cairo, Egypt
| | | | - Menha Swellam
- Biochemistry Department, Biotechnology Research Institute, High Throughput Molecular and Genetic laboratory, Central Laboratories Network and the Centers of Excellence, National Research Centre, Dokki, Giza, Egypt.
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Chen X, Fan X, Zhao C, Zhao Z, Hu L, Wang D, Wang R, Fang Z. Molecular subtyping of glioblastoma based on immune-related genes for prognosis. Sci Rep 2020; 10:15495. [PMID: 32968155 PMCID: PMC7511296 DOI: 10.1038/s41598-020-72488-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 09/02/2020] [Indexed: 01/01/2023] Open
Abstract
Glioblastoma (GBM) is associated with an increasing mortality and morbidity and is considered as an aggressive brain tumor. Recently, extensive studies have been carried out to examine the molecular biology of GBM, and the progression of GBM has been suggested to be correlated with the tumor immunophenotype in a variety of studies. Samples in the current study were extracted from the ImmPort and TCGA databases to identify immune-related genes affecting GBM prognosis. A total of 92 immune-related genes displaying a significant correlation with prognosis were mined, and a shrinkage estimate was conducted on them. Among them, the 14 most representative genes showed a marked correlation with patient prognosis, and LASSO and stepwise regression analysis was carried out to further identify the genes for the construction of a predictive GBM prognosis model. Then, samples in training and test cohorts were incorporated into the model and divided to evaluate the efficiency, stability, and accuracy of the model to predict and classify the prognosis of patients and to identify the relevant immune features according to the median value of RiskScore (namely, Risk-H and Risk-L). In addition, the constructed model was able to instruct clinicians in diagnosis and prognosis prediction for various immunophenotypes.
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Affiliation(s)
- Xueran Chen
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China. .,Department of Molecular Pathology, Hefei Cancer Hospital, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.
| | - Xiaoqing Fan
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), No. 17, Lujiang Road, Hefei, 230001, Anhui, China.,Department of Anesthesiology, Anhui Provincial Hospital, No. 17, Lujiang Road, Hefei, 230001, Anhui, China
| | - Chenggang Zhao
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.,University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Zhiyang Zhao
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.,University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Lizhu Hu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.,University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Delong Wang
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), No. 17, Lujiang Road, Hefei, 230001, Anhui, China.,Department of Anesthesiology, Anhui Provincial Hospital, No. 17, Lujiang Road, Hefei, 230001, Anhui, China
| | - Ruiting Wang
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), No. 17, Lujiang Road, Hefei, 230001, Anhui, China.,Department of Anesthesiology, Anhui Provincial Hospital, No. 17, Lujiang Road, Hefei, 230001, Anhui, China
| | - Zhiyou Fang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.,Department of Molecular Pathology, Hefei Cancer Hospital, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
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He X, Liu M, Zhang M, Sequeiros RB, Xu Y, Wang L, Liu C, Wang Q, Zhang K, Li C. A novel three-dimensional template combined with MR-guided 125I brachytherapy for recurrent glioblastoma. Radiat Oncol 2020; 15:146. [PMID: 32513276 PMCID: PMC7282063 DOI: 10.1186/s13014-020-01586-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/27/2020] [Indexed: 12/20/2022] Open
Abstract
Background At present, the treatment of recurrent glioblastoma is extremely challenging. In this study, we used a novel three-dimensional non-coplanar template (3DNPT) combined with open MR to guide 125I seed implantation for recurrent glioblastoma. The aim of this study was to evaluate the feasibility, accuracy, and effectiveness of this technique. Methods Twenty-four patients of recurrent glioblastoma underwent 3DNPT with open MR-guided 125I brachytherapy from August 2017 to January 2019. Preoperative treatment plan and 3DNPT were made according to enhanced isovoxel T1-weighted MR images. 125I seeds were implanted using 3DNPT and 1.0-T open MR imaging guidance. Dosimetry verification was performed after brachytherapy based on postoperative CT/MR fusion images. Preoperative and postoperative dosimetry parameters of D90, V100, V200, conformity index (CI), external index (EI) were compared. The objective response rate (ORR) at 6 months and 1-year survival rate were calculated. Median overall survival (OS) measured from the date of brachytherapy was estimated by Kaplan-Meier method. Results There were no significant differences between preoperative and postoperative dosimetry parameters of D90, V100, V200, CI, EI (P > 0.05). The ORR at 6 months was 75.0%. The 1-year survival rate was 58.3%. Median OS was 12.9 months. One case of small amount of epidural hemorrhage occurred during the procedure. There were 3 cases of symptomatic brain edema after brachytherapy treatment, including grade three toxicity in 1 case and grade two toxicity in 2 cases. The three patients were treated with corticosteroid for 2 to 4 weeks. The clinical symptoms related to brain edema were significantly alleviated thereafter. Conclusions 3DNPT combined with open MR-guided 125I brachytherapy for circumscribed recurrent glioblastoma is feasible, effective, and with low risk of complications. Postoperative dosimetry matched the preoperative treatment plan. The described method can be used as a novel implantation technique for 125I brachytherapy in the treatment of recurrent gliomas. Trial registration The study was approved by the Institutional Review Board of Shandong Provincial Hospital Affiliated to Shandong University (NSFC:NO.2017–058), registered 1st July 2017.
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Affiliation(s)
- Xiangmeng He
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China
| | - Ming Liu
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China
| | - Menglong Zhang
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China
| | | | - Yujun Xu
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China
| | - Ligang Wang
- Department of Medical Imaging and Interventional Radiology, Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, People's Republic of China
| | - Chao Liu
- Department of Tumor Minimally Invasive, Tai'an Central Hospital, Tai'an, Shandong, People's Republic of China
| | - Qingwen Wang
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China
| | - Kai Zhang
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, People's Republic of China
| | - Chengli Li
- Department of Interventional MRI, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Shandong Key Laboratory of Advanced Medical Imaging Technology and Application, Jinan, Shandong, People's Republic of China.
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