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Vaz-Salgado MÁ, García BC, Pérez IF, Munárriz BJ, Domarco PS, González AH, Villar MV, Caro RL, Delgado MLV, Sánchez JMS. SEOM-GEINO clinical guidelines for grade 2 gliomas (2023). Clin Transl Oncol 2024:10.1007/s12094-024-03456-x. [PMID: 38662171 DOI: 10.1007/s12094-024-03456-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2024] [Indexed: 04/26/2024]
Abstract
The 2021 World Health Organization (WHO) classification has updated the definition of grade 2 gliomas and the presence of isocitrate dehydrogenase (IDH) mutation has been deemed the cornerstone of diagnosis. Though slow-growing and having a low proliferative index, grade 2 gliomas are incurable by surgery and complementary treatments are vital to improving prognosis. This guideline provides recommendations on the multidisciplinary treatment of grade 2 astrocytomas and oligodendrogliomas based on the best evidence available.
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Affiliation(s)
- María Ángeles Vaz-Salgado
- Medical Oncology Department, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (Irycis) CIBERONC, Madrid, Spain.
| | - Belén Cigarral García
- Medical Oncology Department, Complejo Asistencial Universitario de Salamanca, Salamanca, Spain
| | - Isaura Fernández Pérez
- Medical Oncology Department, Hospital Alvaro Cunqueiro-Complejo Hospitalario Universitario de Vigo, Pontevedra, Spain
| | | | - Paula Sampedro Domarco
- Medical Oncology Department, Complexo Hospitalario Universitario de Ourense (CHUO), Orense, Spain
| | - Ainhoa Hernández González
- Medical Oncology Department, Hospital Germans Trias I Pujol(ICO)-Badalona, Instituto Catalán de Oncología, Barcelona, Spain
| | - María Vieito Villar
- Medical Oncology Department, Hospital Universitario Vall D'Hebron, Barcelona, Spain
| | - Raquel Luque Caro
- Medical Oncology Department, Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria Ibs.Granada, Granada, Spain
| | | | - Juan Manuel Sepúlveda Sánchez
- Neuro-Oncology Unit, HM Universitario Sanchinarro-CIOCC, Madrid, Spain.
- Medical Oncology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación 12 de Octubre (I+12), Madrid, Spain.
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Chen X, Peng YN, Cheng FL, Cao D, Tao AY, Chen J. Survival Analysis of Patients Undergoing Intraoperative Contrast-enhanced Ultrasound in the Surgical Treatment of Malignant Glioma. Curr Med Sci 2024; 44:399-405. [PMID: 38632142 DOI: 10.1007/s11596-024-2840-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 01/02/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVE Complete resection of malignant gliomas is often challenging. Our previous study indicated that intraoperative contrast-enhanced ultrasound (ICEUS) could aid in the detection of residual tumor remnants and the total removal of brain lesions. This study aimed to investigate the survival rates of patients undergoing resection with or without the use of ICEUS and to assess the impact of ICEUS on the prognosis of patients with malignant glioma. METHODS A total of 64 patients diagnosed with malignant glioma (WHO grade HI and IV) who underwent surgery between 2012 and 2018 were included. Among them, 29 patients received ICEUS. The effects of ICEUS on overall survival (OS) and progression-free survival (PFS) of patients were evaluated. A quantitative analysis was performed to compare ICEUS parameters between gliomas and the surrounding tissues. RESULTS The ICEUS group showed better survival rates both in OS and PFS than the control group. The univariate analysis revealed that age, pathology and ICEUS were significant prognostic factors for PFS, with only age being a significant prognostic factor for OS. In multivariate analysis, age and ICEUS were significant prognostic factors for both OS and PFS. The quantitative analysis showed that the intensity and transit time of microbubbles reaching the tumors were significantly different from those of microbubbles reaching the surrounding tissue. CONCLUSION ICEUS facilitates the identification of residual tumors. Age and ICEUS are prognostic factors for malignant glioma surgery, and use of ICEUS offers a better prognosis for patients with malignant glioma.
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Affiliation(s)
- Xu Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Ya-Ni Peng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang-Ling Cheng
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dan Cao
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - An-Yu Tao
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jian Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Zhang F, Lv M, He Y. Identification of a novel disulfideptosis-related gene signature for prognostic implication in lower-grade gliomas. Aging (Albany NY) 2024; 16:6054-6067. [PMID: 38546389 PMCID: PMC11042955 DOI: 10.18632/aging.205688] [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: 07/11/2023] [Accepted: 02/20/2024] [Indexed: 04/23/2024]
Abstract
Lower-grade gliomas (GBMLGG) are common, fatal, and difficult-to-treat cancers. The current treatment choices have impressive efficacy constraints. As a result, the development of effective treatments and the identification of new therapeutic targets are urgent requirements. Disulfide metabolism is the cause of the non-apoptotic programmed cell death known as disulfideptosis, which was only recently discovered. The mRNA expression data and related clinical information of GBMLGG patients downloaded from public databases were used in this study to investigate the prognostic significance of genes involved in disulfideptosis. In the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohort, our findings showed that many disulfidptosis-related genes were expressed differently in normal and GBMLGG tissues. It was discovered that IQ motif-containing GTPase-activating protein 1 (IQGAP1) is a key gene that influences the outcome of GBMLGG. Besides, a nomogram model was built to foresee the visualization of GBMLGG patients. In addition, in vivo and in vitro validation of IQGAP1's cancer-promoting function was done. In conclusion, we discovered a gene signature associated with disulfideptosis that can effectively predict OS in GBMLGG patients. As a result, treating disulfideptosis may be a viable alternative for GBMLGG patients.
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Affiliation(s)
- Fuqiang Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Meihong Lv
- Department of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yi He
- Department of Urology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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4
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Zhu L, Yuan F, Wang X, Zhu R, Guo W. Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment. Cancer Biomark 2024:CBM230341. [PMID: 38578883 DOI: 10.3233/cbm-230341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Abstract
Cuproptosis a novel copper-dependent cell death modality, plays a crucial part in the oncogenesis, progression and prognosis of tumors. However, the relationships among DNA-methylation located in cuproptosis-related genes (CRGs), overall survival (OS) and the tumor microenvironment remain undefined. In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological functions of differentially expressed genes between high- and low-risk groups. A three CRG-located DNA-methylation prognostic signature was established based on TCGA database and validated in GEO dataset. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves in the TCGA dataset were 0.884, 0.888, and 0.859 while those in the GEO dataset were 0.943, 0.761 and 0.725, respectively. Cox-regression-analyses revealed the risk signature as an independent risk factor for LGG patients. Immunogenomic profiling suggested that the signature was associated with immune infiltration level and immune checkpoints. Functional enrichment analysis indicated differential enrichment in cell differentiation in the hindbrain, ECM receptor interactions, glycolysis and reactive oxygen species pathway across different groups. We developed and verified a novel CRG-located DNA-methylation signature to predict the prognosis in LGG patients. Our findings emphasize the potential clinical implications of CRG-located DNA-methylation indicating that it may serve as a promising therapeutic target for LGG patients.
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Affiliation(s)
- Liucun Zhu
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Fa Yuan
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Xue Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Rui Zhu
- School of Life Sciences, Shanghai University, Shanghai, China
- Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
| | - Wenna Guo
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
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Yang J, Shen L, Yang J, Qu Y, Gong C, Zhou F, Liu Y, Luo M, Zhao L. Complement and coagulation cascades are associated with prognosis and the immune microenvironment of lower-grade glioma. Transl Cancer Res 2024; 13:112-136. [PMID: 38410234 PMCID: PMC10894340 DOI: 10.21037/tcr-23-906] [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: 05/26/2023] [Accepted: 11/29/2023] [Indexed: 02/28/2024]
Abstract
Background Abnormal coagulation is a common feature of glioma. There is a strong correlation between coagulation and the complement system, named complement and coagulation cascades (CCC). However, the role of CCC genes in lower-grade glioma (LGG) remains unclear. This study aimed to investigate the role of CCC genes in LGG. Methods In total, 5,628 differential expressed genes were identified between 498 LGG tissues from The Cancer Genome Atlas (TCGA) and 207 normal brain tissues from Genotype-Tissue Expression Project (GTEx). Among them, 20 overlapped CCC genes were identified as differentially expressed CCC genes. Then, comprehensive bioinformatics analysis was used to investigate the role of CCC genes in LGG; 271 LGG tissues from the Chinese Glioma Genome Atlas (CGGA) were used as the validation dataset. Cell Counting Kit-8 (CCK8) proliferation assay, colony formation assay, and wound healing assay were conducted to explore the anti-glioma effect of the sensitive drugs we predicted. Results We constructed a risk signature consisting of six CCC genes, including F2R, SERPINA1, TFPI, C1QC, C2, and C3AR1. The CCC gene-based risk signature could accurately predict the prognosis of patients with LGG. In addition, we found that the JAK-STAT, NOD-like receptor, Notch, PI3K-Akt, and Rap1 signaling pathways might be activated and had crosstalk with CCC in the high-risk group. Our findings analyses demonstrated that samples in high- and low-risk groups had different immune landscapes. Moreover, patients in the high-risk group might have greater resistance to immunotherapy. We validated the accuracy of the risk signature in predicting immunotherapy response in two public immunotherapy cohorts, GSE135222 and GSE78220. By means of oncoPredict, MG-132, BMS-536924, PLX-4720, and AZD6482 were identified as potential sensitive drugs for high-risk patients, of which MG-132 was particularly recommended for high-risk patients. We performed in vitro experiments to explore the anti-glioma effect of MG-132, and the results demonstrated MG-132 could inhibit the proliferation and migration of glioma cells. Conclusions Our findings show that CCC genes are associated with the prognosis and immune infiltration of LGG and provide possible immunotherapeutic and novel chemotherapeutic strategies for patients with LGG based on the risk signature.
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Affiliation(s)
- Jianmei Yang
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
| | - Lei Shen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jingyi Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yinzong Qu
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
| | - Chengxian Gong
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
| | - Fang Zhou
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
| | - Yuhan Liu
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
| | - Ming Luo
- Department of Neurosurgery, Wuhan No. 1 Hospital, Wuhan, China
| | - Li Zhao
- Department of Gastroenterology, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan, China
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何 慧, 郭 二, 蒙 文, 王 彧, 王 雯, 何 文, 吴 元, 阳 维. [Predicting cerebral glioma enhancement pattern using a machine learning-based magnetic resonance imaging radiomics model]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2024; 44:194-200. [PMID: 38293992 PMCID: PMC10878898 DOI: 10.12122/j.issn.1673-4254.2024.01.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Indexed: 02/01/2024]
Abstract
OBJECTIVE To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery (T2-FLAIR) images for optimizing the workflow of magnetic resonance imaging (MRI) examinations of glioma patients. METHODS We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma, who were divided into enhancing and non-enhancing groups according to the enhancement pattern. Predictive radiomics models were established using Gaussian Process, Linear Regression, Linear Regression-Least absolute shrinkage and selection operator, Support Vector Machine, Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort (n=201)and tested both in the internal (n=85) and external validation cohorts (n=99). The receiver-operating characteristic curve was used to assess the predictive performance of the models. RESULTS The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort, with areas under the curve (AUC) of 0.88 (95% CI: 0.81-0.94) and 0.80 (95% CI: 0.71-0.88), respectively. In the external validation cohort, the model showed an AUC of 0.81 (95% CI: 0.71-0.90) with sensitivity, specificity, positive predictive value and negative predictive value of 0.98, 0.61, 0.76 and 0.96, respectively. CONCLUSION The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.
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Affiliation(s)
- 慧珊 何
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 二嘉 郭
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 文仪 蒙
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 彧 王
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 雯 王
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 文乐 何
- 广东三九脑科医院影像中心,广东 广州 510515Medical Imaging Center, Guangdong 999 Brain Hospital, Guangzhou 510515, China
| | - 元魁 吴
- 南方医科大学南方医院(第一临床医学院),广东 广州 510515Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
| | - 维 阳
- 南方医科大学生物医学工程学院,广东 广州 510515School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
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Xu D, Li P, Zhang C, Shen Y, Cai J, Wei Q, Cao M, Xu Z, Wu D, Wang H, Bi X, Wang B, Li K. Development of an m6A-Related lncRNAs Signature Predicts Tumor Stemness and Prognosis for Low-Grade Glioma Patients. Stem Cells Int 2024; 2024:2062283. [PMID: 38229597 PMCID: PMC10791469 DOI: 10.1155/2024/2062283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 10/25/2023] [Accepted: 11/22/2023] [Indexed: 01/18/2024] Open
Abstract
Background Growing evidence has revealed that m6A modification of long noncoding RNAs (lncRNAs) dynamically controls tumor stemness and tumorigenesis-related processes. However, the prognostic significance of m6A-related lncRNAs and their associations with stemness in low-grade glioma (LGG) remain to be clarified. Methods A multicenter transcriptome analysis of lncRNA expression in 1,247 LGG samples was performed in this study. The stemness landscape of LGG tumors was presented and associations with clinical features were revealed. The m6A-related lncRNAs were identified between stemness groups and were further prioritized via least absolute shrinkage and selection operator Cox regression analysis. A risk score model based on m6A-related lncRNAs was constructed and validated in external LGG datasets. Results Based on the expression of LINC02984, PFKP-DT, and CRNDE, a risk model and nomogram were constructed; they successfully predicted the survival of patients and were extended to external datasets. Significant correlations were observed between the risk score and tumor stemness. Moreover, patients in different risk groups exhibited distinct tumor immune microenvironments and immune signatures. We finally provided several potential compounds suitable for specific risk groups, which may aid in LGG treatment. Conclusions This novel signature presents noteworthy value in the prediction of prognosis and stemness status for LGG patients and will foster future research on the development of clinical regimens.
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Affiliation(s)
- Dahua Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Peihu Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Chunrui Zhang
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100020, China
| | - Yutong Shen
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Jiale Cai
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Qingchen Wei
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Meng Cao
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Zhizhou Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Deng Wu
- School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Hong Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Xiaoman Bi
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Bo Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Kongning Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 571199, China
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Bhatia A, Moreno R, Reiner AS, Nandakumar S, Walch HS, Thomas TM, Nicklin PJ, Choi Y, Skakodub A, Malani R, Prabhakaran V, Tiwari P, Diaz M, Panageas KS, Mellinghoff IK, Bale TA, Young RJ. Tumor Volume Growth Rates and Doubling Times during Active Surveillance of IDH-mutant Low-Grade Glioma. Clin Cancer Res 2024; 30:106-115. [PMID: 37910594 PMCID: PMC10841595 DOI: 10.1158/1078-0432.ccr-23-1180] [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: 04/21/2023] [Revised: 07/03/2023] [Accepted: 10/30/2023] [Indexed: 11/03/2023]
Abstract
PURPOSE Isocitrate dehydrogenase-mutant (IDH-mt) gliomas are incurable primary brain tumors characterized by a slow-growing phase over several years followed by a rapid-growing malignant phase. We hypothesized that tumor volume growth rate (TVGR) on MRI may act as an earlier measure of clinical benefit during the active surveillance period. EXPERIMENTAL DESIGN We integrated three-dimensional volumetric measurements with clinical, radiologic, and molecular data in a retrospective cohort of IDH-mt gliomas that were observed after surgical resection in order to understand tumor growth kinetics and the impact of molecular genetics. RESULTS Using log-linear mixed modeling, the entire cohort (n = 128) had a continuous %TVGR per 6 months of 10.46% [95% confidence interval (CI), 9.11%-11.83%] and a doubling time of 3.5 years (95% CI, 3.10-3.98). High molecular grade IDH-mt gliomas, defined by the presence of homozygous deletion of CDKN2A/B, had %TVGR per 6 months of 19.17% (95% CI, 15.57%-22.89%) which was significantly different from low molecular grade IDH-mt gliomas with a growth rate per 6 months of 9.54% (95% CI, 7.32%-11.80%; P < 0.0001). Using joint modeling to comodel the longitudinal course of TVGR and overall survival, we found each one natural logarithm tumor volume increase resulted in more than a 3-fold increase in risk of death (HR = 3.83; 95% CI, 2.32-6.30; P < 0.0001). CONCLUSIONS TVGR may be used as an earlier measure of clinical benefit and correlates well with the WHO 2021 molecular classification of gliomas and survival. Incorporation of TVGR as a surrogate endpoint into future prospective studies of IDH-mt gliomas may accelerate drug development.
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Affiliation(s)
- Ankush Bhatia
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Raquel Moreno
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Subhiksha Nandakumar
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Henry S Walch
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Teena M Thomas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Philip J Nicklin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Ye Choi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Anna Skakodub
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Rachna Malani
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Vivek Prabhakaran
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Pallavi Tiwari
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Maria Diaz
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Katherine S. Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Ingo K Mellinghoff
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Tejus A Bale
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, New York
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Chen L, Zhang J, Chi C, Che W, Dong G, Wang J, Du Y, Wang R, Zhu Z, Tian J, Ji N, Chen X, Li D. Lower-grade gliomas surgery guided by GRPR-targeting PET/NIR dual-modality image probe: a prospective and single-arm clinical trial. Theranostics 2024; 14:819-829. [PMID: 38169486 PMCID: PMC10758047 DOI: 10.7150/thno.91554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose: Lower-grade gliomas (LGGs) are a group of infiltrative growing glial brain tumors characterized by intricate intratumoral heterogeneity and subtle visual appearance differences from non-tumor tissue, which can lead to errors in pathologic tissue sampling. Although 5-ALA fluorescence has been an essential method for visualizing gliomas during surgery, its effectiveness is limited in the case of LGGs due to low sensitivity. Therefore, we developed a novel PET/NIR dual-modality image probe targeting gastrin-releasing peptide receptor (GRPR) in glioma cells to enhance tumor visualization and improve the accuracy of sampling. Methods: A prospective, non-randomized, single-center feasibility clinical trial (NCT03407781) was conducted in the referral center from October 21, 2016, to August 17, 2018. Consecutive enrollment included patients suspected of having LGGs and considered suitable candidates for surgical removal. Group 1 comprised ten patients who underwent preoperative 68Ga-IRDye800CW-BBN PET/MRI assessment followed by intraoperative fluorescence-guided surgery. Group 2 included 42 patients who underwent IRDye800CW-BBN fluorescence-guided surgery. The primary endpoints were the predictive value of preoperative PET imaging for intraoperative fluorescence and the sensitivity and specificity of fluorescence-guided sampling. Results: Thirty-nine patients were included in the in-depth analysis of endpoints, with 25 (64.1%) exhibiting visible fluorescence, while 14 (35.9%) did not. The preoperative positive PET uptake exhibited a greater accuracy in predicting intraoperative fluorescence compared to MRI enhancement (100% [10/10] vs. 87.2% [34/39]). A total of 125 samples were harvested during surgery. Compared with pathology, subjective fluorescence intensity showed a sensitivity of 88.6% and a specificity of 88.2% in identifying WHO grade III samples. For WHO grade II samples, the sensitivity and specificity of fluorescence were 54.7% and 88.2%, respectively. Conclusion: This study has demonstrated the feasibility of the novel dual-modality imaging technique for integrated pre- and intraoperative targeted imaging via the same molecular receptor in surgeries for LGGs. The PET/NIR dual-modality probe exhibits promise for preoperative surgical planning in fluorescence-guided surgery and provides greater accuracy in guiding tumor sampling compared to 5-ALA in patients with LGGs.
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Affiliation(s)
- Liangpeng Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingjing Zhang
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and Faculty of Engineering, National University of Singapore, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chongwei Chi
- Key Laboratory of Molecular Imaging, Chinese Academy of Science, Beijing, China
| | - Wenqiang Che
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Gehong Dong
- Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Junmei Wang
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanru Du
- Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Rongxi Wang
- Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Zhaohui Zhu
- Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging, Chinese Academy of Science, Beijing, China
| | - Nan Ji
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and Faculty of Engineering, National University of Singapore, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Deling Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
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10
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Willems YCP, Vaassen F, Zegers CML, Postma AA, Jaspers J, Romero AM, Unipan M, Swinnen A, Anten M, Teernstra O, Compter I, van Elmpt W, Eekers DBP. Anatomical changes in resection cavity during brain radiotherapy. J Neurooncol 2023; 165:479-486. [PMID: 38095775 DOI: 10.1007/s11060-023-04505-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/09/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND AND PURPOSE Brain tumors are in general treated with a maximal safe resection followed by radiotherapy of remaining tumor including the resection cavity (RC) and chemotherapy. Anatomical changes of the RC during radiotherapy can have impact on the coverage of the target volume. The aim of the current study was to quantify the potential changes of the RC and to identify risk factors for RC changes. MATERIALS AND METHODS Sixteen patients treated with pencil beam scanning proton therapy between October 2019 and April 2020 were retrospectively analyzed. The RC was delineated on pre-treatment computed tomography (CT) and magnetic resonance imaging, and weekly CT-scans during treatment. Isotropic expansions were applied to the pre-treatment RC (1-5 mm). The percentage of volume of the RC during treatment within the expanded pre-treatment volumes was quantified. Potential risk factors (volume of RC, time interval surgery-radiotherapy and relationship of RC to the ventricles) were evaluated using Spearman's rank correlation coefficient. RESULTS The average variation in relative RC volume during treatment was 26.1% (SD 34.6%). An expansion of 4 mm was required to cover > 95% of the RC volume in > 90% of patients. There was a significant relationship between the absolute volume of the pre-treatment RC and the volume changes during treatment (Spearman's ρ = - 0.644; p = 0.007). CONCLUSION RCs are dynamic after surgery. Potentially, an additional margin in brain cancer patients with an RC should be considered, to avoid insufficient target coverage. Future research on local recurrence patterns is recommended.
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Affiliation(s)
- Yves C P Willems
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Femke Vaassen
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Catharina M L Zegers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jaap Jaspers
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alejandra Méndez Romero
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mirko Unipan
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ans Swinnen
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Monique Anten
- Department of Neurology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Onno Teernstra
- Department of Neurosurgery, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Inge Compter
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
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11
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Qin H, Abulaiti A, Maimaiti A, Abulaiti Z, Fan G, Aili Y, Ji W, Wang Z, Wang Y. Integrated machine learning survival framework develops a prognostic model based on inter-crosstalk definition of mitochondrial function and cell death patterns in a large multicenter cohort for lower-grade glioma. J Transl Med 2023; 21:588. [PMID: 37660060 PMCID: PMC10474752 DOI: 10.1186/s12967-023-04468-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 08/24/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND Lower-grade glioma (LGG) is a highly heterogeneous disease that presents challenges in accurately predicting patient prognosis. Mitochondria play a central role in the energy metabolism of eukaryotic cells and can influence cell death mechanisms, which are critical in tumorigenesis and progression. However, the prognostic significance of the interplay between mitochondrial function and cell death in LGG requires further investigation. METHODS We employed a robust computational framework to investigate the relationship between mitochondrial function and 18 cell death patterns in a cohort of 1467 LGG patients from six multicenter cohorts worldwide. A total of 10 commonly used machine learning algorithms were collected and subsequently combined into 101 unique combinations. Ultimately, we devised the mitochondria-associated programmed cell death index (mtPCDI) using machine learning models that exhibited optimal performance. RESULTS The mtPCDI, generated by combining 18 highly influential genes, demonstrated strong predictive performance for prognosis in LGG patients. Biologically, mtPCDI exhibited a significant correlation with immune and metabolic signatures. The high mtPCDI group exhibited enriched metabolic pathways and a heightened immune activity profile. Of particular importance, our mtPCDI maintains its status as the most potent prognostic indicator even following adjustment for potential confounding factors, surpassing established clinical models in predictive strength. CONCLUSION Our utilization of a robust machine learning framework highlights the significant potential of mtPCDI in providing personalized risk assessment and tailored recommendations for metabolic and immunotherapy interventions for individuals diagnosed with LGG. Of particular significance, the signature features highly influential genes that present further prospects for future investigations into the role of PCD within mitochondrial function.
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Affiliation(s)
- Hu Qin
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Aimitaji Abulaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Aierpati Maimaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Zulihuma Abulaiti
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China
| | - Guofeng Fan
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Yirizhati Aili
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Wenyu Ji
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Zengliang Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China
| | - Yongxin Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi City, 830054, Xinjiang, China.
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12
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Jiang H, Zhu Q, Wang X, Li M, Shen S, Yang C, Zhao X, Li M, Ma G, Zhao X, Chen X, Yang J, Lin S. Characterization and clinical implications of different malignant transformation patterns in diffuse low-grade gliomas. Cancer Sci 2023; 114:3708-3718. [PMID: 37332121 PMCID: PMC10475770 DOI: 10.1111/cas.15889] [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: 03/31/2023] [Revised: 05/08/2023] [Accepted: 06/01/2023] [Indexed: 06/20/2023] Open
Abstract
Malignant transformation (MT) of low-grade gliomas (LGGs) to a higher-grade variant seems inevitable, yet it remains unclear which LGG patients will progress to grade 3 or even directly to grade 4 after receiving a long course of treatment. To elucidate this, we conducted a retrospective cohort study based on 229 adults with recurrent LGG. Our study aimed to disclose the characteristics of different MT patterns and to build predictive models for patients with LGG. Patients were allocated into group 2-2 (n = 81, 35.4%), group 2-3 (n = 91, 39.7%), and group 2-4 (n = 57, 24.9%), based on their MT patterns. Patients who underwent MT showed lower Karnofsky performance scale (KPS) scores, larger tumor sizes, smaller extents of resection (EOR), higher Ki-67 indices, lower rates of 1p/19q codeletion, but higher rates of subventricular involvement, radiotherapy, chemotherapy, astrocytoma, and post-progression enhancement (PPE) compared with those in group 2-2 (p < 0.01). On multivariate logistic regression, 1p/19q codeletion, Ki-67 index, radiotherapy, EOR, and KPS score were independently associated with MT (p < 0.05). Survival analyses demonstrated that patients in group 2-2 had the longest survival, followed by group 2-3 and then group 2-4 (p < 0.0001). Based on these independent parameters, we constructed a nomogram model that exhibited superior potential (sensitivity: 0.864, specificity: 0.814, and accuracy: 0.843) compared with PPE in early prediction of MT. Combining the factors of 1p/19q codeletion, Ki-67 index, radiotherapy, EOR, and KPS score that were presented at initial diagnosis could precisely forecast the subsequent MT patterns of patients with LGG.
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Affiliation(s)
- Haihui Jiang
- Department of NeurosurgeryPeking University Third Hospital, Peking UniversityBeijingChina
| | - Qinghui Zhu
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xijie Wang
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Mingxiao Li
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Shaoping Shen
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Chuanwei Yang
- Department of Neurosurgery, Henan Provincial People's HospitalPeople's Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouChina
| | - Xuzhe Zhao
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Ming Li
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Guofo Ma
- Department of NeurosurgeryPeking University Third Hospital, Peking UniversityBeijingChina
| | - Xiaofang Zhao
- Department of NeurosurgeryPeking University Third Hospital, Peking UniversityBeijingChina
| | - Xiaodong Chen
- Department of NeurosurgeryPeking University Third Hospital, Peking UniversityBeijingChina
| | - Jun Yang
- Department of NeurosurgeryPeking University Third Hospital, Peking UniversityBeijingChina
| | - Song Lin
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Neurological Diseases, Center of Brain TumorBeijing Institute for Brain Disorders and Beijing Key Laboratory of Brain TumorBeijingChina
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13
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Pan M, Cheng L, Wang Y, Lyu C, Hou C, Zhang Q. Exploration of 2D and 3D-QSAR analysis and docking studies for novel dihydropteridone derivatives as promising therapeutic agents targeting glioblastoma. Front Pharmacol 2023; 14:1249041. [PMID: 37719847 PMCID: PMC10501407 DOI: 10.3389/fphar.2023.1249041] [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: 06/28/2023] [Accepted: 08/21/2023] [Indexed: 09/19/2023] Open
Abstract
Background: Dihydropteridone derivatives represent a novel class of PLK1 inhibitors, exhibiting promising anticancer activity and potential as chemotherapeutic drugs for glioblastoma. Objective: The aim of this study is to develop 2D and 3D-QSAR models to validate the anticancer activity of dihydropteridone derivatives and identify optimal structural characteristics for the design of new therapeutic agents. Methods: The Heuristic method (HM) was employed to construct a 2D-linear QSAR model, while the gene expression programming (GEP) algorithm was utilized to develop a 2D-nonlinear QSAR model. Additionally, the CoMSIA approach was introduced to investigate the impact of drug structure on activity. A total of 200 novel anti-glioma dihydropteridone compounds were designed, and their activity levels were predicted using chemical descriptors and molecular field maps. The compounds with the highest activity were subjected to molecular docking to confirm their binding affinity. Results: Within the analytical purview, the coefficient of determination (R2) for the HM linear model is elucidated at 0.6682, accompanied by an R2 cv of 0.5669 and a residual sum of squares (S2) of 0.0199. The GEP nonlinear model delineates coefficients of determination for the training and validation sets at 0.79 and 0.76, respectively. Empirical modeling outcomes underscore the preeminence of the 3D-QSAR model, succeeded by the GEP nonlinear model, whilst the HM linear model manifested suboptimal efficacy. The 3D paradigm evinced an exemplary fit, characterized by formidable Q2 (0.628) and R2 (0.928) values, complemented by an impressive F-value (12.194) and a minimized standard error of estimate (SEE) at 0.160. The most significant molecular descriptor in the 2D model, which included six descriptors, was identified as "Min exchange energy for a C-N bond" (MECN). By combining the MECN descriptor with the hydrophobic field, suggestions for the creation of novel medications were generated. This led to the identification of compound 21E.153, a novel dihydropteridone derivative, which exhibited outstanding antitumor properties and docking capabilities. Conclusion: The development of 2D and 3D-QSAR models, along with the innovative integration of contour maps and molecular descriptors, offer novel concepts and techniques for the design of glioblastoma chemotherapeutic agents.
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Affiliation(s)
- Meichen Pan
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lingxue Cheng
- Department of Gastroenterology, 960th Hospital of the Chinese People’s Liberation Army, Jinan, China
| | - Yiguo Wang
- Medical Laboratory Center, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Chunyi Lyu
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chao Hou
- Department of Gastroenterology, 960th Hospital of the Chinese People’s Liberation Army, Jinan, China
| | - Qiming Zhang
- Medical Laboratory Center, Chinese Academy of Traditional Chinese Medicine, Beijing, China
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14
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Affiliation(s)
- David Schiff
- From the Division of Neuro-Oncology, Department of Neurology, University of Virginia School of Medicine, Charlottesville
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15
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Picca A, Bruno F, Nichelli L, Sanson M, Rudà R. Advances in molecular and imaging biomarkers in lower-grade gliomas. Expert Rev Neurother 2023; 23:1217-1231. [PMID: 37982735 DOI: 10.1080/14737175.2023.2285472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/15/2023] [Indexed: 11/21/2023]
Abstract
INTRODUCTION Lower-grade (grade 2-3) gliomas (LGGs) constitutes a group of primary brain tumors with variable clinical behaviors and treatment responses. Recent advancements in molecular biology have redefined their classification, and novel imaging modalities emerged for the noninvasive diagnosis and follow-up. AREAS COVERED This review comprehensively analyses the current knowledge on molecular and imaging biomarkers in LGGs. Key molecular alterations, such as IDH mutations and 1p/19q codeletion, are discussed for their prognostic and predictive implications in guiding treatment decisions. Moreover, the authors explore theranostic biomarkers for the potential of tailored therapies. Additionally, they also describe the utility of advanced imaging modalities, including widely available techniques, as dynamic susceptibility contrast perfusion-weighted imaging and less validated, emerging approaches, for the noninvasive LGGs characterization and follow-up. EXPERT OPINION The integration of molecular markers enhanced the stratification of LGGs, leading to the new concept of integrated histomolecular classification. While the IDH mutation is an established key prognostic and predictive marker, recent results from IDH inhibitors trials showed its potential value as a theranostic marker. In this setting, advanced MRI techniques such as 2-D-hydroxyglutarate spectroscopy are very promising for the noninvasive diagnosis and monitoring of LGGs. This progress offers exciting prospects for personalized medicine and improved treatment outcomes in LGGs.
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Affiliation(s)
- Alberto Picca
- Service de Neurologie 2 Mazarin, Hôpital Universitaire Pitié-Salpêtrière, AP-HP, Paris, France
- Sorbonne Université, Inserm, CNRS, UMRS1127, Institut du Cerveau-Paris Brain Institute-ICM, AP-HP, Paris, France
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, Turin, Italy
| | - Lucia Nichelli
- Service de Neuroradiologie, Hôpital Universitaire Pitié-Salpêtrière, AP-HP, Paris, France
| | - Marc Sanson
- Service de Neurologie 2 Mazarin, Hôpital Universitaire Pitié-Salpêtrière, AP-HP, Paris, France
- Sorbonne Université, Inserm, CNRS, UMRS1127, Institut du Cerveau-Paris Brain Institute-ICM, AP-HP, Paris, France
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, Turin, Italy
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Yang W, Wang X, Liu H, Li M, Liu X, Lin N, Hu L, Han R. Electroencephalography characteristics of patients with supratentorial glioma in different consciousness states induced by propofol. Neurosci Lett 2023; 808:137284. [PMID: 37142112 DOI: 10.1016/j.neulet.2023.137284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/24/2023] [Accepted: 04/29/2023] [Indexed: 05/06/2023]
Abstract
Gliomas are the most common primary intracranial malignant tumors. Some of these patients exhibit previously clinically undetected neurological deficits after sedation. The absence of neurophysiological evidence for this phenomenon limits the use of time-sensitive monitoring methods. The study aims to compare differences between glioma patients under sedation and those without intracranial lesions by comparing their EEG features. Twenty-one patients without intracranial tumors and 21 with frontal lobe supratentorial gliomas were enrolled. The EEG power spectrum of the glioma group was comparable to that of the control group for both sides of the brain (P>0.05 for all frequencies). Compared with those without intracranial lesions, the weighted phase lag index (wPLI) in the alpha and beta bands on the non-occupied side decreased. Glioma patients had weaker functional connectivity during sedation than patients without intracranial lesions, manifesting as reduced functional connectivity on the non-occupied side.
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Affiliation(s)
- Wanning Yang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Xinxin Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Haiyang Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Muhan Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Xiaoyuan Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Nan Lin
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Li Hu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Ruquan Han
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
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17
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Zhang G, Tai P, Fang J, Chen A, Chen X, Cao K. Molecular subtypes based on centrosome-related genes can predict prognosis and therapeutic responsiveness in patients with low-grade gliomas. Front Oncol 2023; 13:1157115. [PMID: 37051542 PMCID: PMC10083401 DOI: 10.3389/fonc.2023.1157115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/07/2023] [Indexed: 03/29/2023] Open
Abstract
BackgroundAbnormalities in centrosome regulatory genes can induce chromosome instability, cell differentiation errors, and tumorigenesis. However, a limited number of comprehensive analyses of centrosome-related genes have been performed in low-grade gliomas (LGG).MethodsLGG data were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. The ConsensusClusterPlus” R package was used for unsupervised clustering. We constructed a centrosome-related genes (CRGs) signature using a random forest model, lasso Cox model, and multivariate Cox model, and quantified the centrosome-related risk score (centS). The prognostic prediction efficacy of centS was evaluated using a Receiver Operating Characteristic (ROC) curve. Immune cell infiltration and genomic mutational landscapes were evaluated using the ESTIMATE algorithm, single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm, and “maftools” R package, respectively. Differences in clinical features, isocitrate dehydrogenase (IDH) mutation, 1p19q codeletion, O6-methylguanine-DNA methyltransferase promoter (MGMTp) methylation, and response to antitumor therapy between the high- and low-centS groups were explored. “pRRophetic” R packages were used for temozolomide (TMZ) sensitivity analysis. qRT-PCR verified the differential expression of the centrosomal gene team, the core of which is CEP135, between LGG cells and normal cells.ResultsTwo distinct CRG-based clusters were identified using consensus unsupervised clustering analysis. The prognosis, biological characteristics, and immune cell infiltration of the two clusters differed significantly. A well-performing centS signature was developed to predict the prognosis of patients with LGG based on 12 potential CRGs. We found that patients in the high-centS group showed poorer prognosis and lower proportion of IDH mutation and 1p19q codeletion compared to those in the low-centS group. Furthermore, patients in the high-centS group showed higher sensitivity to TMZ, higher tumor mutation burden, and immune cell infiltration. Finally, we identified a centrosomal gene team whose core was CEP135, and verified their differential expression between LGG cells and normal glial cells.ConclusionOur findings reveal a novel centrosome-related signature for predicting the prognosis and therapeutic responsiveness of patients with LGG. This may be helpful for the accurate clinical treatment of LGG.
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Girardi F, Matz M, Stiller C, You H, Marcos Gragera R, Valkov MY, Bulliard JL, De P, Morrison D, Wanner M, O'Brian DK, Saint-Jacques N, Coleman MP, Allemani C, Hamdi-Chérif M, Kara L, Meguenni K, Regagba D, Bayo S, Cheick Bougadari T, Manraj SS, Bendahhou K, Ladipo A, Ogunbiyi OJ, Somdyala NIM, Chaplin MA, Moreno F, Calabrano GH, Espinola SB, Carballo Quintero B, Fita R, Laspada WD, Ibañez SG, Lima CA, Da Costa AM, De Souza PCF, Chaves J, Laporte CA, Curado MP, de Oliveira JC, Veneziano CLA, Veneziano DB, Almeida ABM, Latorre MRDO, Rebelo MS, Santos MO, Azevedo e Silva G, Galaz JC, Aparicio Aravena M, Sanhueza Monsalve J, Herrmann DA, Vargas S, Herrera VM, Uribe CJ, Bravo LE, Garcia LS, Arias-Ortiz NE, Morantes D, Jurado DM, Yépez Chamorro MC, Delgado S, Ramirez M, Galán Alvarez YH, Torres P, Martínez-Reyes F, Jaramillo L, Quinto R, Castillo J, Mendoza M, Cueva P, Yépez JG, Bhakkan B, Deloumeaux J, Joachim C, Macni J, Carrillo R, Shalkow Klincovstein J, Rivera Gomez R, Perez P, Poquioma E, Tortolero-Luna G, Zavala D, Alonso R, Barrios E, Eckstrand A, Nikiforuk C, Woods RR, Noonan G, Turner D, Kumar E, Zhang B, Dowden JJ, Doyle GP, Saint-Jacques N, Walsh G, Anam A, De P, McClure CA, Vriends KA, Bertrand C, Ramanakumar AV, Davis L, Kozie S, Freeman T, George JT, Avila RM, O’Brien DK, Holt A, Almon L, Kwong S, Morris C, Rycroft R, Mueller L, Phillips CE, Brown H, Cromartie B, Ruterbusch J, Schwartz AG, Levin GM, Wohler B, Bayakly R, Ward KC, Gomez SL, McKinley M, Cress R, Davis J, Hernandez B, Johnson CJ, Morawski BM, Ruppert LP, Bentler S, Charlton ME, Huang B, Tucker TC, Deapen D, Liu L, Hsieh MC, Wu XC, Schwenn M, Stern K, Gershman ST, Knowlton RC, Alverson G, Weaver T, Desai J, Rogers DB, Jackson-Thompson J, Lemons D, Zimmerman HJ, Hood M, Roberts-Johnson J, Hammond W, Rees JR, Pawlish KS, Stroup A, Key C, Wiggins C, Kahn AR, Schymura MJ, Radhakrishnan S, Rao C, Giljahn LK, Slocumb RM, Dabbs C, Espinoza RE, Aird KG, Beran T, Rubertone JJ, Slack SJ, Oh J, Janes TA, Schwartz SM, Chiodini SC, Hurley DM, Whiteside MA, Rai S, Williams MA, Herget K, Sweeney C, Kachajian J, Keitheri Cheteri MB, Migliore Santiago P, Blankenship SE, Conaway JL, Borchers R, Malicki R, Espinoza J, Grandpre J, Weir HK, Wilson R, Edwards BK, Mariotto A, Rodriguez-Galindo C, Wang N, Yang L, Chen JS, Zhou Y, He YT, Song GH, Gu XP, Mei D, Mu HJ, Ge HM, Wu TH, Li YY, Zhao DL, Jin F, Zhang JH, Zhu FD, Junhua Q, Yang YL, Jiang CX, Biao W, Wang J, Li QL, Yi H, Zhou X, Dong J, Li W, Fu FX, Liu SZ, Chen JG, Zhu J, Li YH, Lu YQ, Fan M, Huang SQ, Guo GP, Zhaolai H, Wei K, Chen WQ, Wei W, Zeng H, Demetriou AV, Mang WK, Ngan KC, Kataki AC, Krishnatreya M, Jayalekshmi PA, Sebastian P, George PS, Mathew A, Nandakumar A, Malekzadeh R, Roshandel G, Keinan-Boker L, Silverman BG, Ito H, Koyanagi Y, Sato M, Tobori F, Nakata I, Teramoto N, Hattori M, Kaizaki Y, Moki F, Sugiyama H, Utada M, Nishimura M, Yoshida K, Kurosawa K, Nemoto Y, Narimatsu H, Sakaguchi M, Kanemura S, Naito M, Narisawa R, Miyashiro I, Nakata K, Mori D, Yoshitake M, Oki I, Fukushima N, Shibata A, Iwasa K, Ono C, Matsuda T, Nimri O, Jung KW, Won YJ, Alawadhi E, Elbasmi A, Ab Manan A, Adam F, Nansalmaa E, Tudev U, Ochir C, Al Khater AM, El Mistiri MM, Lim GH, Teo YY, Chiang CJ, Lee WC, Buasom R, Sangrajrang S, Suwanrungruang K, Vatanasapt P, Daoprasert K, Pongnikorn D, Leklob A, Sangkitipaiboon S, Geater SL, Sriplung H, Ceylan O, Kög I, Dirican O, Köse T, Gurbuz T, Karaşahin FE, Turhan D, Aktaş U, Halat Y, Eser S, Yakut CI, Altinisik M, Cavusoglu Y, Türkköylü A, Üçüncü N, Hackl M, Zborovskaya AA, Aleinikova OV, Henau K, Van Eycken L, Atanasov TY, Valerianova Z, Šekerija M, Dušek L, Zvolský M, Steinrud Mørch L, Storm H, Wessel Skovlund C, Innos K, Mägi M, Malila N, Seppä K, Jégu J, Velten M, Cornet E, Troussard X, Bouvier AM, Guizard AV, Bouvier V, Launoy G, Dabakuyo Yonli S, Poillot ML, Maynadié M, Mounier M, Vaconnet L, Woronoff AS, Daoulas M, Robaszkiewicz M, Clavel J, Poulalhon C, Desandes E, Lacour B, Baldi I, Amadeo B, Coureau G, Monnereau A, Orazio S, Audoin M, D’Almeida TC, Boyer S, Hammas K, Trétarre B, Colonna M, Delafosse P, Plouvier S, Cowppli-Bony A, Molinié F, Bara S, Ganry O, Lapôtre-Ledoux B, Daubisse-Marliac L, Bossard N, Uhry Z, Estève J, Stabenow R, Wilsdorf-Köhler H, Eberle A, Luttmann S, Löhden I, Nennecke AL, Kieschke J, Sirri E, Justenhoven C, Reinwald F, Holleczek B, Eisemann N, Katalinic A, Asquez RA, Kumar V, Petridou E, Ólafsdóttir EJ, Tryggvadóttir L, Murray DE, Walsh PM, Sundseth H, Harney M, Mazzoleni G, Vittadello F, Coviello E, Cuccaro F, Galasso R, Sampietro G, Giacomin A, Magoni M, Ardizzone A, D’Argenzio A, Di Prima AA, Ippolito A, Lavecchia AM, Sutera Sardo A, Gola G, Ballotari P, Giacomazzi E, Ferretti S, Dal Maso L, Serraino D, Celesia MV, Filiberti RA, Pannozzo F, Melcarne A, Quarta F, Andreano A, Russo AG, Carrozzi G, Cirilli C, Cavalieri d’Oro L, Rognoni M, Fusco M, Vitale MF, Usala M, Cusimano R, Mazzucco W, Michiara M, Sgargi P, Boschetti L, Marguati S, Chiaranda G, Seghini P, Maule MM, Merletti F, Spata E, Tumino R, Mancuso P, Cassetti T, Sassatelli R, Falcini F, Giorgetti S, Caiazzo AL, Cavallo R, Piras D, Bella F, Madeddu A, Fanetti AC, Maspero S, Carone S, Mincuzzi A, Candela G, Scuderi T, Gentilini MA, Rizzello R, Rosso S, Caldarella A, Intrieri T, Bianconi F, Contiero P, Tagliabue G, Rugge M, Zorzi M, Beggiato S, Brustolin A, Gatta G, De Angelis R, Vicentini M, Zanetti R, Stracci F, Maurina A, Oniščuka M, Mousavi M, Steponaviciene L, Vincerževskienė I, Azzopardi MJ, Calleja N, Siesling S, Visser O, Johannesen TB, Larønningen S, Trojanowski M, Macek P, Mierzwa T, Rachtan J, Rosińska A, Kępska K, Kościańska B, Barna K, Sulkowska U, Gebauer T, Łapińska JB, Wójcik-Tomaszewska J, Motnyk M, Patro A, Gos A, Sikorska K, Bielska-Lasota M, Didkowska JA, Wojciechowska U, Forjaz de Lacerda G, Rego RA, Carrito B, Pais A, Bento MJ, Rodrigues J, Lourenço A, Mayer-da-Silva A, Coza D, Todescu AI, Valkov MY, Gusenkova L, Lazarevich O, Prudnikova O, Vjushkov DM, Egorova A, Orlov A, Pikalova LV, Zhuikova LD, Adamcik J, Safaei Diba C, Zadnik V, Žagar T, De-La-Cruz M, Lopez-de-Munain A, Aleman A, Rojas D, Chillarón RJ, Navarro AIM, Marcos-Gragera R, Puigdemont M, Rodríguez-Barranco M, Sánchez Perez MJ, Franch Sureda P, Ramos Montserrat M, Chirlaque López MD, Sánchez Gil A, Ardanaz E, Guevara M, Cañete-Nieto A, Peris-Bonet R, Carulla M, Galceran J, Almela F, Sabater C, Khan S, Pettersson D, Dickman P, Staehelin K, Struchen B, Egger Hayoz C, Rapiti E, Schaffar R, Went P, Mousavi SM, Bulliard JL, Maspoli-Conconi M, Kuehni CE, Redmond SM, Bordoni A, Ortelli L, Chiolero A, Konzelmann I, Rohrmann S, Wanner M, Broggio J, Rashbass J, Stiller C, Fitzpatrick D, Gavin A, Morrison DS, Thomson CS, Greene G, Huws DW, Grayson M, Rawcliffe H, Allemani C, Coleman MP, Di Carlo V, Girardi F, Matz M, Minicozzi P, Sanz N, Ssenyonga N, James D, Stephens R, Chalker E, Smith M, Gugusheff J, You H, Qin Li S, Dugdale S, Moore J, Philpot S, Pfeiffer R, Thomas H, Silva Ragaini B, Venn AJ, Evans SM, Te Marvelde L, Savietto V, Trevithick R, Aitken J, Currow D, Fowler C, Lewis C. Global survival trends for brain tumors, by histology: analysis of individual records for 556,237 adults diagnosed in 59 countries during 2000-2014 (CONCORD-3). Neuro Oncol 2023; 25:580-592. [PMID: 36355361 PMCID: PMC10013649 DOI: 10.1093/neuonc/noac217] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Survival is a key metric of the effectiveness of a health system in managing cancer. We set out to provide a comprehensive examination of worldwide variation and trends in survival from brain tumors in adults, by histology. METHODS We analyzed individual data for adults (15-99 years) diagnosed with a brain tumor (ICD-O-3 topography code C71) during 2000-2014, regardless of tumor behavior. Data underwent a 3-phase quality control as part of CONCORD-3. We estimated net survival for 11 histology groups, using the unbiased nonparametric Pohar Perme estimator. RESULTS The study included 556,237 adults. In 2010-2014, the global range in age-standardized 5-year net survival for the most common sub-types was broad: in the range 20%-38% for diffuse and anaplastic astrocytoma, from 4% to 17% for glioblastoma, and between 32% and 69% for oligodendroglioma. For patients with glioblastoma, the largest gains in survival occurred between 2000-2004 and 2005-2009. These improvements were more noticeable among adults diagnosed aged 40-70 years than among younger adults. CONCLUSIONS To the best of our knowledge, this study provides the largest account to date of global trends in population-based survival for brain tumors by histology in adults. We have highlighted remarkable gains in 5-year survival from glioblastoma since 2005, providing large-scale empirical evidence on the uptake of chemoradiation at population level. Worldwide, survival improvements have been extensive, but some countries still lag behind. Our findings may help clinicians involved in national and international tumor pathway boards to promote initiatives aimed at more extensive implementation of clinical guidelines.
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Affiliation(s)
- Fabio Girardi
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.,Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Melissa Matz
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Charles Stiller
- National Cancer Registration and Analysis Service, Public Health England, London, UK
| | - Hui You
- Cancer Information Analysis Unit, Cancer Institute NSW, St Leonards, New South Wales, Australia
| | - Rafael Marcos Gragera
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Mikhail Y Valkov
- Department of Radiology, Radiotherapy and Oncology, Northern State Medical University, Arkhangelsk, Russia
| | - Jean-Luc Bulliard
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.,Neuchâtel and Jura Tumour Registry, Neuchâtel, Switzerland
| | - Prithwish De
- Surveillance and Cancer Registry, and Research Office, Clinical Institutes and Quality Programs, Ontario Health, Toronto, Ontario, Canada
| | - David Morrison
- Scottish Cancer Registry, Public Health Scotland, Edinburgh, UK
| | - Miriam Wanner
- Cancer Registry Zürich, Zug, Schaffhausen and Schwyz, University Hospital Zürich, Zürich, Switzerland
| | - David K O'Brian
- Alaska Cancer Registry, Alaska Department of Health and Social Services, Anchorage, Alaska, USA
| | - Nathalie Saint-Jacques
- Department of Medicine and Community Health and Epidemiology, Centre for Clinical Research, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michel P Coleman
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK
| | - Claudia Allemani
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
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Ozair A, Bhat V, Alisch RS, Khosla AA, Kotecha RR, Odia Y, McDermott MW, Ahluwalia MS. DNA Methylation and Histone Modification in Low-Grade Gliomas: Current Understanding and Potential Clinical Targets. Cancers (Basel) 2023; 15:cancers15041342. [PMID: 36831683 PMCID: PMC9954183 DOI: 10.3390/cancers15041342] [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: 12/21/2022] [Revised: 02/02/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Gliomas, the most common type of malignant primary brain tumor, were conventionally classified through WHO Grades I-IV (now 1-4), with low-grade gliomas being entities belonging to Grades 1 or 2. While the focus of the WHO Classification for Central Nervous System (CNS) tumors had historically been on histopathological attributes, the recently released fifth edition of the classification (WHO CNS5) characterizes brain tumors, including gliomas, using an integration of histological and molecular features, including their epigenetic changes such as histone methylation, DNA methylation, and histone acetylation, which are increasingly being used for the classification of low-grade gliomas. This review describes the current understanding of the role of DNA methylation, demethylation, and histone modification in pathogenesis, clinical behavior, and outcomes of brain tumors, in particular of low-grade gliomas. The review also highlights potential diagnostic and/or therapeutic targets in associated cellular biomolecules, structures, and processes. Targeting of MGMT promoter methylation, TET-hTDG-BER pathway, association of G-CIMP with key gene mutations, PARP inhibition, IDH and 2-HG-associated processes, TERT mutation and ARL9-associated pathways, DNA Methyltransferase (DNMT) inhibition, Histone Deacetylase (HDAC) inhibition, BET inhibition, CpG site DNA methylation signatures, along with others, present exciting avenues for translational research. This review also summarizes the current clinical trial landscape associated with the therapeutic utility of epigenetics in low-grade gliomas. Much of the evidence currently remains restricted to preclinical studies, warranting further investigation to demonstrate true clinical utility.
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Affiliation(s)
- Ahmad Ozair
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Faculty of Medicine, King George’s Medical University, Lucknow 226003, India
| | - Vivek Bhat
- St. John’s Medical College, Bangalore 560034, India
| | - Reid S. Alisch
- Department of Neurosurgery, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Atulya A. Khosla
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Rupesh R. Kotecha
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Yazmin Odia
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Michael W. McDermott
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Correspondence: (M.W.M.); (M.S.A.)
| | - Manmeet S. Ahluwalia
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Correspondence: (M.W.M.); (M.S.A.)
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20
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Miller JJ, Gonzalez Castro LN, McBrayer S, Weller M, Cloughesy T, Portnow J, Andronesi O, Barnholtz-Sloan JS, Baumert BG, Berger MS, Bi WL, Bindra R, Cahill DP, Chang SM, Costello JF, Horbinski C, Huang RY, Jenkins RB, Ligon KL, Mellinghoff IK, Nabors LB, Platten M, Reardon DA, Shi DD, Schiff D, Wick W, Yan H, von Deimling A, van den Bent M, Kaelin WG, Wen PY. Isocitrate dehydrogenase (IDH) mutant gliomas: A Society for Neuro-Oncology (SNO) consensus review on diagnosis, management, and future directions. Neuro Oncol 2023; 25:4-25. [PMID: 36239925 PMCID: PMC9825337 DOI: 10.1093/neuonc/noac207] [Citation(s) in RCA: 46] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Isocitrate dehydrogenase (IDH) mutant gliomas are the most common adult, malignant primary brain tumors diagnosed in patients younger than 50, constituting an important cause of morbidity and mortality. In recent years, there has been significant progress in understanding the molecular pathogenesis and biology of these tumors, sparking multiple efforts to improve their diagnosis and treatment. In this consensus review from the Society for Neuro-Oncology (SNO), the current diagnosis and management of IDH-mutant gliomas will be discussed. In addition, novel therapies, such as targeted molecular therapies and immunotherapies, will be reviewed. Current challenges and future directions for research will be discussed.
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Affiliation(s)
- Julie J Miller
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - L Nicolas Gonzalez Castro
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Samuel McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, Texas, 75235, USA
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | | | - Jana Portnow
- Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Ovidiu Andronesi
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill S Barnholtz-Sloan
- Informatics and Data Science (IDS), Center for Biomedical Informatics and Information Technology (CBIIT), Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Bethesda, MD, USA
| | - Brigitta G Baumert
- Cantonal Hospital Graubunden, Institute of Radiation-Oncology, Chur, Switzerland
| | - Mitchell S Berger
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Wenya Linda Bi
- Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ranjit Bindra
- Department of Therapeutic Radiology, Brain Tumor Center, Yale School of Medicine, New Haven, CT, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Joseph F Costello
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Northwestern Medicine Malnati Brain Tumor Institute of the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Robert B Jenkins
- Individualized Medicine Research, Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota 55901, USA
| | - Keith L Ligon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ingo K Mellinghoff
- Department of Neurology, Evnin Family Chair in Neuro-Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - L Burt Nabors
- Department of Neurology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - David A Reardon
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Diana D Shi
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David Schiff
- Division of Neuro-Oncology, Department of Neurology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Wolfgang Wick
- Neuro-Oncology at the German Cancer Research Center (DKFZ), Program Chair of Neuro-Oncology at the National Center for Tumor Diseases (NCT), and Neurology and Chairman at the Neurology Clinic in Heidelberg, Heidelberg, Germany
| | - Hai Yan
- Genetron Health Inc, Gaithersburg, Maryland 20879, USA
| | - Andreas von Deimling
- Department of Neuropathology, University Hospital Heidelberg, and, Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), and, DKTK, INF 224, 69120 Heidelberg, Germany
| | - Martin van den Bent
- Brain Tumour Centre, Erasmus MC Cancer Institute, Groene Hilledijk 301, 3075 EA Rotterdam, The Netherlands
| | - William G Kaelin
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
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Jiang H, Sun Z, Li F, Chen Q. Prognostic value of γ‐aminobutyric acidergic synapse-associated signature for lower-grade gliomas. Front Immunol 2022; 13:983569. [PMID: 36405708 PMCID: PMC9668880 DOI: 10.3389/fimmu.2022.983569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Background Synapse-associated proteins (SAPs) play important roles in central nervous system (CNS) tumors. Recent studies have reported that γ-aminobutyric acidergic (GABAergic) synapses also play critical roles in the development of gliomas. However, biomarkers of GABAergic synapses in low-grade gliomas (LGGs) have not yet been reported. Methods mRNA data from normal brain tissue and gliomas were obtained from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) databases, respectively. A validation dataset was also obtained from the Chinese Glioma Genome Atlas (CGGA) database. The expression patterns of GABAergic synapse-related genes (GSRGs) were evaluated with difference analysis in LGGs. Then, a GABAergic synapse-related risk signature (GSRS) was constructed with least absolute shrinkage and selection operator (LASSO) Cox regression analysis. According to the expression value and coefficients of identified GSRGs, the risk scores of all LGG samples were calculated. Univariate and multivariate Cox regression analyses were conducted to evaluate related risk scores for prognostic ability. Correlations between characteristics of the tumor microenvironment (TME) and risk scores were explored with single-sample gene set enrichment analysis (ssGSEA) and immunity profiles in LGGs. The GSRS-related pathways were investigated by gene set variation analysis (GSVA). Real-time PCR and the Human Protein Atlas (HPA) database were applied to explore related expression of hub genes selected in the GSRS. Results Compared with normal brain samples, 25 genes of 31 GSRGs were differentially expressed in LGG samples. A constructed five-gene GSRS was related to clinicopathological features and prognosis of LGGs by the LASSO algorithm. It was shown that the risk score level was positively related to the infiltrating level of native CD4 T cells and activated dendritic cells. GSVA identified several cancer-related pathways associated with the GSRS, such as P53 pathways and the JAK-STAT signaling pathway. Additionally, CA2, PTEN, OXTR, and SLC6A1 (hub genes identified in the GSRS) were regarded as the potential predictors in LGGs. Conclusion A new five-gene GSRS was identified and verified by bioinformatics methods. The GSRS provides a new perspective in LGG that may contribute to more accurate prediction of prognosis of LGGs.
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Affiliation(s)
- Hongxiang Jiang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhiqiang Sun
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Fei Li
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- *Correspondence: Fei Li, ; Qianxue Chen,
| | - Qianxue Chen
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- *Correspondence: Fei Li, ; Qianxue Chen,
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22
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Lai G, Zhong X, Liu H, Deng J, Li K, Xie B. Development of a Hallmark Pathway-Related Gene Signature Associated with Immune Response for Lower Grade Gliomas. Int J Mol Sci 2022; 23:ijms231911971. [PMID: 36233273 PMCID: PMC9570050 DOI: 10.3390/ijms231911971] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022] Open
Abstract
Although some biomarkers have been used to predict prognosis of lower-grade gliomas (LGGs), a pathway-related signature associated with immune response has not been developed. A key signaling pathway was determined according to the lowest adjusted p value among 50 hallmark pathways. The least absolute shrinkage and selection operator (LASSO) and stepwise multivariate Cox analyses were performed to construct a pathway-related gene signature. Somatic mutation, drug sensitivity and prediction of immunotherapy analyses were conducted to reveal the value of this signature in targeted therapies. In this study, an allograft rejection (AR) pathway was considered as a crucial signaling pathway, and we constructed an AR-related five-gene signature, which can independently predict the prognosis of LGGs. High-AR LGG patients had higher tumor mutation burden (TMB), Immunophenscore (IPS), IMmuno-PREdictive Score (IMPRES), T cell-inflamed gene expression profile (GEP) score and MHC I association immunoscore (MIAS) than low-AR patients. Most importantly, our signature can be validated in four immunotherapy cohorts. Furthermore, IC50 values of the six classic chemotherapeutic drugs were significantly elevated in the low-AR group compared with the high-AR group. This signature might be regarded as an underlying biomarker in predicting prognosis for LGGs, possibly providing more therapeutic strategies for future clinical research.
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23
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Zha L, Wang J, Cheng X. The effects of
RNA
methylation on immune cells development and function. FASEB J 2022; 36:e22552. [DOI: 10.1096/fj.202200716r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/23/2022] [Accepted: 09/06/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Ling‐Feng Zha
- Department of Cardiology Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Key Laboratory of Biological Targeted Therapy, Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases Wuhan China
| | - Jing‐Lin Wang
- Department of Cardiology Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Key Laboratory of Biological Targeted Therapy, Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases Wuhan China
| | - Xiang Cheng
- Department of Cardiology Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Key Laboratory of Biological Targeted Therapy, Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases Wuhan China
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Yuan F, Wang Y, Cai X, Du C, Zhu J, Tang C, Yang J, Ma C. N6-methyladenosine-related microRNAs risk model trumps the isocitrate dehydrogenase mutation status as a predictive biomarker for the prognosis and immunotherapy in lower grade gliomas. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2022; 3:553-569. [PMID: 36226036 PMCID: PMC9549064 DOI: 10.37349/etat.2022.00100] [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: 04/20/2022] [Accepted: 06/23/2022] [Indexed: 11/24/2022] Open
Abstract
Aim: Lower grade gliomas [LGGs; World Health Organization (WHO) grades 2 and 3], owing to the heterogeneity of their clinical behavior, present a therapeutic challenge to neurosurgeons. The aim of this study was to explore the N6-methyladenosine (m6A) modification landscape in the LGGs and to develop an m6A-related microRNA (miRNA) risk model to provide new perspectives for the treatment and prognostic assessment of LGGs. Methods: Messenger RNA (mRNA) and miRNA expression data of LGGs were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. An m6A-related miRNA risk model was constructed via least absolute shrinkage and selection operator (LASSO), univariate, and multivariate Cox regression analysis. Next, Kaplan-Meier analysis, principal-component analysis (PCA), functional enrichment analysis, immune infiltrate analysis, dynamic nomogram, and drug sensitivity prediction were used to evaluate this risk model. Results: Firstly, six m6A-related miRNAs with independent prognostic value were selected based on clinical information and used to construct a risk model. Subsequently, compared with low-risk group, LGGs in the high-risk group had a higher m6A writer and reader scores, but a lower eraser score. Moreover, LGGs in the high-risk group had a significantly worse clinical prognosis than those in the low-risk group. Simultaneously, this risk model outperformed other clinicopathological variables in the prognosis prediction of LGGs. Immune infiltrate analysis revealed that the proportion of M2 macrophages, regulatory T (Treg) cells, and the expression levels of exhausted immune response markers were significantly higher in the high-risk group than in the low-risk group. Finally, this study constructed an easy-to-use and free dynamic nomogram to help clinicians use this risk model to aid in diagnosis and prognosis assessment. Conclusions: This study developed a m6A-related risk model and uncovered two different m6A modification landscapes in LGGs. Moreover, this risk model may provide guidance and help in clinical prognosis assessment and immunotherapy response prediction for LGGs.
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Affiliation(s)
- Feng Yuan
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China
| | - Yingshuai Wang
- Department of Internal Medicine III, University Hospital Munich, Ludwig Maximilians-University Munich, 80807 Munich, Germany
| | - Xiangming Cai
- School of Medicine, Southeast university, Nanjing 210002, Jiangsu, China
| | - Chaonan Du
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China
| | - Junhao Zhu
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China
| | - Chao Tang
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China
| | - Jin Yang
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China
| | - Chiyuan Ma
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu, China; School of Medicine, Southeast university, Nanjing 210002, Jiangsu, China; Department of Neurosurgery, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing 210002, Jiangsu, China; Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing 210002, Jiangsu, China
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25
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Deacu M, Popescu S, Docu Axelerad A, Topliceanu TS, Aschie M, Bosoteanu M, Cozaru GC, Cretu AM, Voda RI, Orasanu CI. Prognostic Factors of Low-Grade Gliomas in Adults. Curr Oncol 2022; 29:7327-7342. [PMID: 36290853 PMCID: PMC9600247 DOI: 10.3390/curroncol29100576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/22/2022] [Accepted: 09/29/2022] [Indexed: 11/22/2022] Open
Abstract
Adult low-grade gliomas are a rare and aggressive pathology of the central nervous system. Some of their characteristics contribute to the patient's life expectancy and to their management. This study aimed to characterize and identify the main prognostic factors of low-grade gliomas. The six-year retrospective study statistically analyzed the demographic, imaging, and morphogenetic characteristics of the patient group through appropriate parameters. Immunohistochemical tests were performed: IDH1, Ki-67, p53, and Nestin, as well as FISH tests on the CDKN2A gene and 1p/19q codeletion. The pathology was prevalent in females, with patients having an average age of 56.31 years. The average tumor volume was 41.61 cm3, producing a midline shift with an average of 7.5 mm. Its displacement had a negative impact on survival. The presence of a residual tumor resulted in decreased survival and is an independent risk factor for mortality. Positivity for p53 identified a low survival rate. CDKN2A mutations were an independent risk factor for mortality. We identified that a negative prognosis is influenced by the association of epilepsy with headache, tumor volume, and immunoreactivity to IDH1 and p53. Independent factors associated with mortality were midline shift, presence of tumor residue, and CDKN2A gene deletions and amplifications.
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Affiliation(s)
- Mariana Deacu
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania
| | - Steliana Popescu
- Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania
- Department of Radiology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
| | - Any Docu Axelerad
- Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania
- Department of Neurology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
| | - Theodor Sebastian Topliceanu
- Center for Research and Development of the Morphological and Genetic Studyies of Malignant Pathology (CEDMOG), Ovidius University of Constanta, 900591 Constanta, Romania
| | - Mariana Aschie
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania
- Academy of Medical Sciences of Romania, 030167 Bucharest, Romania
| | - Madalina Bosoteanu
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Faculty of Medicine, “Ovidius” University of Constanta, 900470 Constanta, Romania
| | - Georgeta Camelia Cozaru
- Center for Research and Development of the Morphological and Genetic Studyies of Malignant Pathology (CEDMOG), Ovidius University of Constanta, 900591 Constanta, Romania
- Clinical Service of Pathology, Departments of Genetics, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
| | - Ana Maria Cretu
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Center for Research and Development of the Morphological and Genetic Studyies of Malignant Pathology (CEDMOG), Ovidius University of Constanta, 900591 Constanta, Romania
| | - Raluca Ioana Voda
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Center for Research and Development of the Morphological and Genetic Studyies of Malignant Pathology (CEDMOG), Ovidius University of Constanta, 900591 Constanta, Romania
| | - Cristian Ionut Orasanu
- Clinical Service of Pathology, Departments of Pathology, Sfantul Apostol Andrei Emergency County Hospital, 900591 Constanta, Romania
- Center for Research and Development of the Morphological and Genetic Studyies of Malignant Pathology (CEDMOG), Ovidius University of Constanta, 900591 Constanta, Romania
- Correspondence: ; Tel.: +40-72-281-4037
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26
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Noninvasive Delineation of Glioma Infiltration with Combined 7T Chemical Exchange Saturation Transfer Imaging and MR Spectroscopy: A Diagnostic Accuracy Study. Metabolites 2022; 12:metabo12100901. [PMID: 36295803 PMCID: PMC9607140 DOI: 10.3390/metabo12100901] [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: 07/10/2022] [Revised: 09/14/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
For precise delineation of glioma extent, amino acid PET is superior to conventional MR imaging. Since metabolic MR sequences such as chemical exchange saturation transfer (CEST) imaging and MR spectroscopy (MRS) were developed, we aimed to evaluate the diagnostic accuracy of combined CEST and MRS to predict glioma infiltration. Eighteen glioma patients of different tumor grades were enrolled in this study; 18F-fluoroethyltyrosine (FET)-PET, amide proton transfer CEST at 7 Tesla(T), MRS and conventional MR at 3T were conducted preoperatively. Multi modalities and their association were evaluated using Pearson correlation analysis patient-wise and voxel-wise. Both CEST (R = 0.736, p < 0.001) and MRS (R = 0.495, p = 0.037) correlated with FET-PET, while the correlation between CEST and MRS was weaker. In subgroup analysis, APT values were significantly higher in high grade glioma (3.923 ± 1.239) and IDH wildtype group (3.932 ± 1.264) than low grade glioma (3.317 ± 0.868, p < 0.001) or IDH mutant group (3.358 ± 0.847, p < 0.001). Using high FET uptake as the standard, the CEST/MRS combination (AUC, 95% CI: 0.910, 0.907−0.913) predicted tumor infiltration better than CEST (0.812, 0.808−0.815) or MRS (0.888, 0.885−0.891) alone, consistent with contrast-enhancing and T2-hyperintense areas. Probability maps of tumor presence constructed from the CEST/MRS combination were preliminarily verified by multi-region biopsies. The combination of 7T CEST/MRS might serve as a promising non-radioactive alternative to delineate glioma infiltration, thus reshaping the guidance for tumor resection and irradiation.
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27
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Tang G, Tan L, Yuan H, Yin W. Glycosylation modification patterns reveal distinct tumor metabolism and immune microenvironment landscape in lower-grade gliomas. Front Cell Dev Biol 2022; 10:886989. [PMID: 36092703 PMCID: PMC9452883 DOI: 10.3389/fcell.2022.886989] [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: 03/01/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022] Open
Abstract
Glycosylation alterations, a key driver throughout tumorigenesis and tumor progression, could regulate the microenvironment and immune response as well as lead to harmful metabolism and cell signaling. In this study, we first comprehensively evaluated the glycosylation modification patterns of LGGs based on glycosyltransferase family genes and systematically integrated these modification patterns with tumor metabolism and immune microenvironment characteristics. Glycosylation score was also developed to quantify glycosylation modification patterns of individuals. As a result, two glycosylation modification patterns were identified, with distinct prognosis, metabolism, and immune microenvironment features. The glycosylation subtype A and cluster A were characterized by higher carbohydrates and amino acid metabolism activity, higher levels of infiltrating cells, and poor prognosis, whereas an opposite modification pattern was observed in glycosylation subtype B and cluster B. In addition, a high glycosylation score is closer to a microenvironment characterized by chronic inflammation, immunosuppression, and tumor promotion. Following analysis and validation, the glycosylation score was a reliable and independent prognostic index. More importantly, the glycosylation score influenced the response to immunotherapy, chemotherapy, or targeted therapy, which provided a novel insight into promoting personalized therapy in the future and may contribute to developing novel therapeutic drugs or exploring promising drug combination therapy strategies.
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Affiliation(s)
- Guihua Tang
- Department of Clinical Laboratory, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, The College of Clinical Medicine of Human Normal University, Changsha, China
| | - Liming Tan
- Department of Clinical Laboratory, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, The College of Clinical Medicine of Human Normal University, Changsha, China
- *Correspondence: Liming Tan, ; Hao Yuan, ; Wen Yin,
| | - Hao Yuan
- Department of Clinical Laboratory, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, The College of Clinical Medicine of Human Normal University, Changsha, China
- *Correspondence: Liming Tan, ; Hao Yuan, ; Wen Yin,
| | - Wen Yin
- Department of Neurosurgery, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Liming Tan, ; Hao Yuan, ; Wen Yin,
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28
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Bao JH, Lu WC, Duan H, Ye YQ, Li JB, Liao WT, Li YC, Sun YP. Identification of a novel cuproptosis-related gene signature and integrative analyses in patients with lower-grade gliomas. Front Immunol 2022; 13:933973. [PMID: 36045691 PMCID: PMC9420977 DOI: 10.3389/fimmu.2022.933973] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 07/22/2022] [Indexed: 12/20/2022] Open
Abstract
Background Cuproptosis is a newly discovered unique non-apoptotic programmed cell death distinguished from known death mechanisms like ferroptosis, pyroptosis, and necroptosis. However, the prognostic value of cuproptosis and the correlation between cuproptosis and the tumor microenvironment (TME) in lower-grade gliomas (LGGs) remain unknown. Methods In this study, we systematically investigated the genetic and transcriptional variation, prognostic value, and expression patterns of cuproptosis-related genes (CRGs). The CRG score was applied to quantify the cuproptosis subtypes. We then evaluated their values in the TME, prognostic prediction, and therapeutic responses in LGG. Lastly, we collected five paired LGG and matched normal adjacent tissue samples from Sun Yat-sen University Cancer Center (SYSUCC) to verify the expression of signature genes by quantitative real-time PCR (qRT-PCR) and Western blotting (WB). Results Two distinct cuproptosis-related clusters were identified using consensus unsupervised clustering analysis. The correlation between multilayer CRG alterations with clinical characteristics, prognosis, and TME cell infiltration were observed. Then, a well-performed cuproptosis-related risk model (CRG score) was developed to predict LGG patients' prognosis, which was evaluated and validated in two external cohorts. We classified patients into high- and low-risk groups according to the CRG score and found that patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P<0.001). A high CRG score implies higher TME scores, more significant TME cell infiltration, and increased mutation burden. Meanwhile, the CRG score was significantly correlated with the cancer stem cell index, chemoradiotherapy sensitivity-related genes and immune checkpoint genes, and chemotherapeutic sensitivity, indicating the association with CRGs and treatment responses. Univariate and multivariate Cox regression analyses revealed that the CRG score was an independent prognostic predictor for LGG patients. Subsequently, a highly accurate predictive model was established for facilitating the clinical application of the CRG score, showing good predictive ability and calibration. Additionally, crucial CRGs were further validated by qRT-PCR and WB. Conclusion Collectively, we demonstrated a comprehensive overview of CRG profiles in LGG and established a novel risk model for LGG patients' therapy status and prognosis. Our findings highlight the potential clinical implications of CRGs, suggesting that cuproptosis may be the potential therapeutic target for patients with LGG.
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Affiliation(s)
- Jia-hao Bao
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China
| | - Wei-cheng Lu
- State Key Laboratory of Oncology in Southern China, Department of Anesthesiology, Sun Yat-sen University Cancer Center, Collaborative Innovation for Cancer Medicine, Guangzhou, China
| | - Hao Duan
- Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Ya-qi Ye
- State Key Laboratory of Oncology in Southern China, Department of Anesthesiology, Sun Yat-sen University Cancer Center, Collaborative Innovation for Cancer Medicine, Guangzhou, China
| | - Jiang-bo Li
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China
| | - Wen-ting Liao
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China,*Correspondence: Yang-peng Sun, ; Yong-chun Li, ; Wen-ting Liao,
| | - Yong-chun Li
- State Key Laboratory of Oncology in Southern China, Department of Anesthesiology, Sun Yat-sen University Cancer Center, Collaborative Innovation for Cancer Medicine, Guangzhou, China,*Correspondence: Yang-peng Sun, ; Yong-chun Li, ; Wen-ting Liao,
| | - Yang-peng Sun
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China,*Correspondence: Yang-peng Sun, ; Yong-chun Li, ; Wen-ting Liao,
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29
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Current Considerations in the Treatment of Grade 3 Gliomas. Curr Treat Options Oncol 2022; 23:1219-1232. [PMID: 35913658 DOI: 10.1007/s11864-022-01000-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2022] [Indexed: 12/12/2022]
Abstract
OPINION STATEMENT Treatment recommendations for grade 3 gliomas are guided by their histopathologic and molecular phenotype. In the 2021 WHO classification, these tumors are categorized into two types, grade 3 IDH mutant (IDHmt), 1p/19q codeleted oligodendroglioma and IDH mutant astrocytoma. Treatment consists of maximal safe surgery, followed by radiation therapy (RT) and alkylating agent-based chemotherapy. Based on the updated CATNON result, RT followed by temozolomide improves outcome in patients with non-codeleted grade 3 IDHmt astrocytoma. In patients with IDHmt, codeleted oligodendroglioma, the addition of procarbazine, CCNU, and vincristine regimen is the recommended treatment, based on large randomized controlled trials. These current treatments prolong the overall survival to up to 10 years in patients with grade 3 IDHmt astrocytoma and 14 years in grade 3 IDHmt codeleted oligodendroglioma. Treatment options at recurrence include re-resection, re-irradiation, and other cytotoxic chemotherapy; however, these are of limited benefit. Novel agents targeting IDH mutation and its metabolic effects are currently under investigation to improve the outcome of these patients.
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30
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Kurdi M, Moshref RH, Katib Y, Faizo E, Najjar AA, Bahakeem B, Bamaga AK. Simple approach for the histomolecular diagnosis of central nervous system gliomas based on 2021 World Health Organization Classification. World J Clin Oncol 2022; 13:567-576. [PMID: 36157161 PMCID: PMC9346424 DOI: 10.5306/wjco.v13.i7.567] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/24/2022] [Accepted: 06/27/2022] [Indexed: 02/06/2023] Open
Abstract
The classification of central nervous system (CNS) glioma went through a sequence of developments, between 2006 and 2021, started with only histological approach then has been aided with a major emphasis on molecular signatures in the 4th and 5th editions of the World Health Organization (WHO). The recent reformation in the 5th edition of the WHO classification has focused more on the molecularly defined entities with better characterized natural histories as well as new tumor types and subtypes in the adult and pediatric populations. These new subclassified entities have been incorporated in the 5th edition after the continuous exploration of new genomic, epigenomic and transcriptomic discovery. Indeed, the current guidelines of 2021 WHO classification of CNS tumors and European Association of Neuro-Oncology (EANO) exploited the molecular signatures in the diagnostic approach of CNS gliomas. Our current review presents a practical diagnostic approach for diffuse CNS gliomas and circumscribed astrocytomas using histomolecular criteria adopted by the recent WHO classification. We also describe the treatment strategies for these tumors based on EANO guidelines.
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Affiliation(s)
- Maher Kurdi
- Department of Pathology, Faculty of Medicine, King Abdulaziz University, Jeddah 213733, Saudi Arabia
| | - Rana H Moshref
- Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Jeddah 213733, Saudi Arabia
| | - Yousef Katib
- Department of Radiology, Faculty of Medicine, Taibah University, Almadinah Almunawwarah 213733, Saudi Arabia
| | - Eyad Faizo
- Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Tabuk University, Tabuk 213733, Saudi Arabia
| | - Ahmed A Najjar
- College of Medicine, Taibah University, Almadinah Almunawwarah 213733, Saudi Arabia
| | - Basem Bahakeem
- Faculty of Medicine, Umm-Alqura University, Makkah 213733, Saudi Arabia
| | - Ahmed K Bamaga
- Department of Pediatric, Neuromuscular Medicine Unit, Faculty of Medicine and King Abdulaziz University Hospital, King Abdulaziz University, Jeddah 213733, Saudi Arabia
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31
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Internò V, Triggiano G, De Santis P, Stucci LS, Tucci M, Porta C. Molecular Aberrations Stratify Grade 2 Astrocytomas Into Several Rare Entities: Prognostic and Therapeutic Implications. Front Oncol 2022; 12:866623. [PMID: 35756624 PMCID: PMC9226400 DOI: 10.3389/fonc.2022.866623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
The identification of specific molecular aberrations guides the prognostic stratification and management of grade 2 astrocytomas. Mutations in isocitrate dehydrogenase (IDH) 1 and 2, found in the majority of adult diffuse low-grade glioma (DLGG), seem to relate to a favorable prognosis compared to IDH wild-type (IDH-wt) counterparts. Moreover, the IDH-wt group can develop additional molecular alterations worsening the prognosis, such as epidermal growth factor receptor amplification (EGFR-amp) and mutation of the promoter of telomerase reverse transcriptase (pTERT-mut). This review analyzes the prognostic impact and therapeutic implications of genetic alterations in adult LGG.
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Affiliation(s)
- Valeria Internò
- Department of Interdisciplinary Medicine, University of Bari 'Aldo Moro', Bari, Italy.,Division of Medical Oncology, Policlinico Hospital of Bari, Bari, Italy
| | - Giacomo Triggiano
- Division of Medical Oncology, Policlinico Hospital of Bari, Bari, Italy
| | | | | | - Marco Tucci
- Department of Interdisciplinary Medicine, University of Bari 'Aldo Moro', Bari, Italy.,Division of Medical Oncology, Policlinico Hospital of Bari, Bari, Italy
| | - Camillo Porta
- Department of Interdisciplinary Medicine, University of Bari 'Aldo Moro', Bari, Italy.,Division of Medical Oncology, Policlinico Hospital of Bari, Bari, Italy
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High-dose salvage re-irradiation in recurrent/progressive adult diffuse gliomas: development of a novel prognostic scoring system. Cancer Radiother 2022; 26:994-1001. [PMID: 35715356 DOI: 10.1016/j.canrad.2022.01.004] [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: 09/11/2021] [Revised: 11/21/2021] [Accepted: 01/24/2022] [Indexed: 11/21/2022]
Abstract
PURPOSE Over the past two decades, high-dose salvage re-irradiation (re-RT) has been used increasingly in the multimodality management of adults with recurrent/progressive diffuse glioma. Several factors that determine outcomes following re-RT have been incorporated into prognostic models to guide patient selection. We aimed to develop a novel four-tiered prognostic model incorporating relevant molecular markers from our single-institutional cohort of patients treated with high-dose salvage re-RT for recurrent/progressive diffuse glioma. MATERIAL AND METHODS Various patient, disease, and treatment-related factors impacting upon survival following salvage re-RT were identified through univariate analysis. Each of these prognostic factors was further subdivided and assigned scores of 0 (low-risk), 1 (intermediate-risk), or 2 (high-risk). Scores from individual prognostic factors were added to derive the cumulative score (ranging from 0 to 16), with increasing scores indicating worsening prognosis. RESULTS A total of 111 adults with recurrent/progressive diffuse glioma treated with salvage high-dose re-RT were included. We could assign patients into four prognostic subgroups (A=15 patients, score 0-3); (B=50 patients, score 4-7); (C=33 patients, score 8-10); and (D=13 patients, score 11-16) with completely non-overlapping survival curves suggesting the good discriminatory ability. Post-re-RT survival was significantly higher in Group A compared to groups B, C, and D, respectively (stratified log-rank p-value <0.0001). CONCLUSION There exists a lack of universally acceptable 'standard-of-care' salvage therapy for recurrent/progressive diffuse glioma. A novel four-tiered prognostic scoring system incorporating traditional factors as well as relevant molecular markers is proposed for selecting patients appropriately for high-dose salvage re-RT that warrants validation in a non-overlapping cohort.
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Therapeutic Options in Neuro-Oncology. Int J Mol Sci 2022; 23:ijms23105351. [PMID: 35628161 PMCID: PMC9140894 DOI: 10.3390/ijms23105351] [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: 03/26/2022] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 12/22/2022] Open
Abstract
One of the biggest challenges in neuro-oncology is understanding the complexity of central nervous system tumors, such as gliomas, in order to develop suitable therapeutics. Conventional therapies in malignant gliomas reconcile surgery and radiotherapy with the use of chemotherapeutic options such as temozolomide, chloroethyl nitrosoureas and the combination therapy of procarbazine, lomustine and vincristine. With the unraveling of deregulated cancer cell signaling pathways, targeted therapies have been developed. The most affected signaling pathways in glioma cells involve tyrosine kinase receptors and their downstream pathways, such as the phosphatidylinositol 3-kinases (PI3K/AKT/mTOR) and mitogen-activated protein kinase pathways (MAPK). MAPK pathway inhibitors include farnesyl transferase inhibitors, Ras kinase inhibitors and mitogen-activated protein extracellular regulated kinase (MEK) inhibitors, while PI3K/AKT/mTOR pathway inhibitors are divided into pan-inhibitors, PI3K/mTOR dual inhibitors and AKT inhibitors. The relevance of the immune system in carcinogenesis has led to the development of immunotherapy, through vaccination, blocking of immune checkpoints, oncolytic viruses, and adoptive immunotherapy using chimeric antigen receptor T cells. In this article we provide a comprehensive review of the signaling pathways underlying malignant transformation, the therapies currently used in the treatment of malignant gliomas and further explore therapies under development, including several ongoing clinical trials.
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Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:8704127. [PMID: 35535221 PMCID: PMC9078805 DOI: 10.1155/2022/8704127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/28/2022] [Accepted: 04/18/2022] [Indexed: 02/08/2023]
Abstract
Pyroptosis plays a critical role in the immune response to immune checkpoint inhibitors (ICIs) by mediating the tumor immune microenvironment. However, the impact of pyroptosis-related biomarkers on the prognosis and efficacy of ICIs in patients with lower-grade gliomas (LGGs) is unclear. An unsupervised clustering analysis identified pyroptosis-related subtypes (PRSs) based on the expression profile of 47 pyroptosis-related genes in The Cancer Genome Atlas-LGG cohort. A PRS gene signature was established using univariate Cox regression, random survival forest, least absolute shrinkage and selection operator, and stepwise multivariable Cox regression analyses. The predictive power of this signature was validated in the Chinese Glioma Genome Atlas database. We also investigated the differences between high- and low-risk groups in terms of the tumor immune microenvironment, tumor mutation, and response to target therapy and ICIs. The PRS gene signature comprised eight PRS genes, which independently predicted the prognosis of LGG patients. High-risk patients had a worse overall survival than did the low-risk patients. The high-risk group also displayed a higher proportion of M1 macrophages and CD8+ T cells and higher immune scores, tumor mutational burden, immunophenoscore, IMmuno-PREdictive Score, MHC I association immune score, and T cell-inflamed gene expression profile scores, but lower suppressor cells scores, and were more suitable candidates for ICI treatment. Higher risk scores were more frequent in patients who responded to ICIs using data from the ImmuCellAI website. The presently established PRS gene signature can be validated in melanoma patients treated with real ICI treatment. This signature is valuable in predicting prognosis and ICI treatment of LGG patients, pending further prospective verification.
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35
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Li J, Wang J, Ding Y, Zhao J, Wang W. Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas. BMC Cancer 2022; 22:466. [PMID: 35484511 PMCID: PMC9047296 DOI: 10.1186/s12885-022-09548-7] [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: 02/22/2022] [Accepted: 04/15/2022] [Indexed: 11/30/2022] Open
Abstract
Objective Glioma was the most common type of intracranial malignant tumor. Even after standard treatment, the recurrence and malignant progression of lower-grade gliomas (LGGs) were almost inevitable. The overall survival (OS) of patients with LGG varied widely, making it critical for prognostic prediction. Small G Protein Signaling Modulator 1 (SGSM1) has hardly been studied in gliomas. Therefore, we aimed to investigate the prognostic role of SGSM1 and its relationship with immune infiltration in LGGs. Methods We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze SGSM1 expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. And nomogram model has been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and SGSM1 expression. The survival analyses and Cox regression were validated in datasets from the Chinese Glioma Genome Atlas (CGGA). Results SGSM1 was significantly down-regulated in LGGs. Functional enrichment analyses revealed SGSM1 was correlated with immune response. Most immune cells and immune checkpoints were negatively correlated with SGSM1 expression. The Kaplan–Meier analyses showed that low SGSM1 expression was associated with a poor outcome in LGG and its subtypes. The Cox regression showed SGSM1 was an independent prognostic factor in patients with LGG (HR = 0.494, 95%CI = 0.311–0.784, P = 0.003). Conclusion SGSM1 was considered to be a new prognostic biomarker for patients with LGG. And our study provided a potential therapeutic target for LGG treatment.
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Affiliation(s)
- Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Nan Si Huan Xi Road 119, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Nan Si Huan Xi Road 119, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yaowei Ding
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Nan Si Huan Xi Road 119, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, China. .,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China. .,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. .,Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China. .,Savaid Medical School, University of the Chinese Academy of Sciences, Beijing, China.
| | - Wen Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Nan Si Huan Xi Road 119, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, China. .,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China. .,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. .,Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
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Reitz SC, Behrens M, Lortz I, Conradi N, Rauch M, Filipski K, Voss M, Kell C, Czabanka M, Forster MT. Neurocognitive Outcome and Seizure Freedom After Awake Surgery of Gliomas. Front Oncol 2022; 12:815733. [PMID: 35463387 PMCID: PMC9023117 DOI: 10.3389/fonc.2022.815733] [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: 11/15/2021] [Accepted: 03/14/2022] [Indexed: 11/30/2022] Open
Abstract
Objectives Gliomas are often diagnosed due to epileptic seizures as well as neurocognitive deficits. First treatment choice for patients with gliomas in speech-related areas is awake surgery, which aims at maximizing tumor resection while preserving or improving patient’s neurological status. The present study aimed at evaluating neurocognitive functioning and occurrence of epileptic seizures in patients suffering from gliomas located in language-related areas before and after awake surgery as well as during their follow up course of disease. Materials and Methods In this prospective study we included patients who underwent awake surgery for glioma in the inferior frontal gyrus, superior temporal gyrus, or anterior temporal lobe. Preoperatively, as well as in the short-term (median 4.1 months, IQR 2.1-6.0) and long-term (median 18.3 months, IQR 12.3-36.6) postoperative course, neurocognitive functioning, neurologic status, the occurrence of epileptic seizures and number of antiepileptic drugs were recorded. Results Between 09/2012 and 09/2019, a total of 27 glioma patients, aged 36.1 ± 11.8 years, were included. Tumor resection was complete in 15, subtotal in 6 and partial in 6 patients, respectively. While preoperatively impairment in at least one neurocognitive domain was found in 37.0% of patients, postoperatively, in the short-term, 36.4% of patients presented a significant deterioration in word fluency (p=0.009) and 34.8% of patients in executive functions (p=0.049). Over the long-term, scores improved to preoperative baseline levels. The number of patients with mood disturbances significantly declined from 66.7% to 34.8% after surgery (p=0.03). Regarding seizures, these were present in 18 (66.7%) patients prior to surgery. Postoperatively, 22 (81.5%) patients were treated with antiepileptic drugs with all patients presenting seizure-freedom. Conclusions In patients suffering from gliomas in eloquent areas, the combination of awake surgery, regular neurocognitive assessment - considering individual patients´ functional outcome and rehabilitation needs – and the individual adjustment of antiepileptic therapy results in excellent patient outcome in the long-term course.
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Affiliation(s)
- Sarah Christina Reitz
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Marion Behrens
- Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Irina Lortz
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Nadine Conradi
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Maximilian Rauch
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Katharina Filipski
- Edinger Institute, Institute of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,University Cancer Center Frankfurt (UCT), University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung), Partner Site Frankfurt/Mainz, Heidelberg, Germany.,German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany
| | - Martin Voss
- Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,University Cancer Center Frankfurt (UCT), University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,Dr. Senckenberg Institute of Neurooncology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Christian Kell
- Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Marcus Czabanka
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
| | - Marie-Therese Forster
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany.,University Cancer Center Frankfurt (UCT), University Hospital Frankfurt, Goethe University, Frankfurt/Main, Germany
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van der Weide HL, Kłos J, Langendijk JA, Brouwer CL, Sinnige PF, Borra RJ, Dierckx RA, Huitema RB, Rakers SE, Buunk AM, Spikman JM, Bosma IB, Enting RH, Blandhol M, Chiu RK, van der Hoorn A, Kramer MC. Clinical relevance of the radiation dose bath in lower grade glioma, a cross-sectional pilot study on neurocognitive and radiological outcome. Clin Transl Radiat Oncol 2022; 33:99-105. [PMID: 35198742 PMCID: PMC8843977 DOI: 10.1016/j.ctro.2022.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/18/2022] Open
Abstract
Radiation-induced brain damage as a consequence of the RT dose bath was investigated. Multiple MRI-derived metrics and neurocognitive function domains were analysed. Our novel approach accounted for confounding effects associated with lower grade glioma. Higher RT dose to the left cerebrum was associated with poorer verbal memory performance. Higher RT dose correlated with hippocampal volume.
Aim To investigate the clinical relevance of the radiotherapy (RT) dose bath in patients treated for lower grade glioma (LGG). Methods Patients (n = 17) treated with RT for LGG were assessed with neurocognitive function (NCF) tests and structural Magnetic Resonance Imaging (MRI) and categorized in subgroups based on tumour lateralisation. RT dose, volumetric results and cerebral microbleed (CMB) number were extracted for contralateral cerebrum, contralateral hippocampus, and cerebellum. The RT clinical target volume (CTV) was included in the analysis as a surrogate for focal tumour and other treatment effects. The relationships between RT dose, CTV, NCF and radiological outcome were analysed per subgroup. Results The subgroup with left-sided tumours (n = 10) performed significantly lower on verbal tests. The RT dose to the right cerebrum, as well as CTV, were related to poorer performance on tests for processing speed, attention, and visuospatial abilities, and more CMB. In the subgroup with right-sided tumours (n = 7), RT dose in the left cerebrum was related to lower verbal memory performance, (immediate and delayed recall, r = −0.821, p = 0.023 and r = −0.937, p = 0.002, respectively), and RT dose to the left hippocampus was related to hippocampal volume (r = −0.857, p = 0.014), without correlation between CTV and NCF. Conclusion By using a novel approach, we were able to investigate the clinical relevance of the RT dose bath in patients with LGG more specifically. We used combined MRI-derived and NCF outcome measures to assess radiation-induced brain damage, and observed potential RT effects on the left-sided brain resulting in lower verbal memory performance and hippocampus volume.
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38
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Tom MC, Milano MT, Chao ST, Soltys SG, Knisely JP, Sahgal A, Nagpal S, Lo SS, Jabbari S, Wang TJ, Ahluwalia MS, Simonson M, Palmer JD, Gephart MH, Halasz LM, Garg AK, Chiang VL, Chang EL. Executive summary of american radium society’s appropriate use criteria for the postoperative management of lower grade gliomas. Radiother Oncol 2022; 170:79-88. [DOI: 10.1016/j.radonc.2022.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
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Huang Y, Gao X, Yang E, Yue K, Cao Y, Zhao B, Zhang H, Dai S, Zhang L, Luo P, Jiang X. Top-down stepwise refinement identifies coding and noncoding RNA-associated epigenetic regulatory maps in malignant glioma. J Cell Mol Med 2022; 26:2230-2250. [PMID: 35194922 PMCID: PMC8995455 DOI: 10.1111/jcmm.17244] [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: 09/21/2021] [Revised: 12/20/2021] [Accepted: 01/21/2022] [Indexed: 11/28/2022] Open
Abstract
With the emergence of the molecular era and retreat of the histology epoch in malignant glioma, it is becoming increasingly necessary to research diagnostic/prognostic/therapeutic biomarkers and their related regulatory mechanisms. While accumulating studies have investigated coding gene‐associated biomarkers in malignant glioma, research on comprehensive coding and noncoding RNA‐associated biomarkers is lacking. Furthermore, few studies have illustrated the cross‐talk signalling pathways among these biomarkers and mechanisms in detail. Here, we identified DEGs and ceRNA networks in malignant glioma and then constructed Cox/Lasso regression models to further identify the most valuable genes through stepwise refinement. Top‐down comprehensive integrated analysis, including functional enrichment, SNV, immune infiltration, transcription factor binding site, and molecular docking analyses, further revealed the regulatory maps among these genes. The results revealed a novel and accurate model (AUC of 0.91 and C‐index of 0.84 in the whole malignant gliomas, AUC of 0.90 and C‐index of 0.86 in LGG, and AUC of 0.75 and C‐index of 0.69 in GBM) that includes twelve ncRNAs, 1 miRNA and 6 coding genes. Stepwise logical reasoning based on top‐down comprehensive integrated analysis and references revealed cross‐talk signalling pathways among these genes that were correlated with the circadian rhythm, tumour immune microenvironment and cellular senescence pathways. In conclusion, our work reveals a novel model where the newly identified biomarkers may contribute to a precise diagnosis/prognosis and subclassification of malignant glioma, and the identified cross‐talk signalling pathways would help to illustrate the noncoding RNA‐associated epigenetic regulatory mechanisms of glioma tumorigenesis and aid in targeted therapy.
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Affiliation(s)
- Yutao Huang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiangyu Gao
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.,State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an, China
| | - Erwan Yang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Kangyi Yue
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.,State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an, China
| | - Yuan Cao
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Boyan Zhao
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Haofuzi Zhang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Shuhui Dai
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Lei Zhang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Peng Luo
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiaofan Jiang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Prather KY, O’Neal CM, Westrup AM, Tullos HJ, Hughes KL, Conner AK, Glenn CA, Battiste JD. A systematic review of amino acid PET in assessing treatment response to temozolomide in glioma. Neurooncol Adv 2022; 4:vdac008. [PMID: 35300149 PMCID: PMC8923003 DOI: 10.1093/noajnl/vdac008] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The response assessment in neuro-oncology (RANO) criteria have been the gold standard for monitoring treatment response in glioblastoma (GBM) and differentiating tumor progression from pseudoprogression. While the RANO criteria have played a key role in detecting early tumor progression, their ability to identify pseudoprogression is limited by post-treatment damage to the blood-brain barrier (BBB), which often leads to contrast enhancement on MRI and correlates poorly to tumor status. Amino acid positron emission tomography (AA PET) is a rapidly growing imaging modality in neuro-oncology. While contrast-enhanced MRI relies on leaky vascularity or a compromised BBB for delivery of contrast agents, amino acid tracers can cross the BBB, making AA PET particularly well-suited for monitoring treatment response and diagnosing pseudoprogression. The authors performed a systematic review of PubMed, MEDLINE, and Embase through December 2021 with the search terms “temozolomide” OR “Temodar,” “glioma” OR “glioblastoma,” “PET,” and “amino acid.” There were 19 studies meeting inclusion criteria. Thirteen studies utilized [18F]FET, five utilized [11C]MET, and one utilized both. All studies used static AA PET parameters to evaluate TMZ treatment in glioma patients, with nine using dynamic tracer parameters in addition. Throughout these studies, AA PET demonstrated utility in TMZ treatment monitoring and predicting patient survival.
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Affiliation(s)
- Kiana Y Prather
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Christen M O’Neal
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Alison M Westrup
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Hurtis J Tullos
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Kendall L Hughes
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - James D Battiste
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
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Jo J, van den Bent MJ, Nabors B, Wen PY, Schiff D. Surveillance imaging frequency in adult patients with lower-grade (WHO Grade 2 and 3) gliomas. Neuro Oncol 2022; 24:1035-1047. [PMID: 35137214 PMCID: PMC9248400 DOI: 10.1093/neuonc/noac031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
With improved outcome following aggressive treatment in patients with grade 2 and 3 IDH-mutant (IDHmt), 1p/19q codeleted oligodendroglioma and IDHmt, non-codeleted astrocytoma, prolonged surveillance is desirable for early detection of tumor growth and malignant transformation. Current National Comprehensive Cancer Network (NCCN) guidelines provide imaging follow-up recommendations based on molecular classification of lower-grade gliomas, although individualized imaging guidelines based on treatments received and after tumor recurrence are not clearly specified. Other available guidelines have yet to incorporate the molecular biomarkers that inform the WHO classification of gliomas, and in some cases do not adequately consider current knowledge on IDHmt glioma growth rate and recurrence patterns. Moreover, these guidelines also do not provide specific recommendations for concerning clinical symptoms or radiographic findings warranting imaging studies out of prespecified intervals. Focusing on molecularly defined grade 2 and 3 IDHmt astrocytomas and oligodendrogliomas, we review current knowledge of tumor growth rates and time to tumor progression for each tumor type and propose a range of recommended MRI surveillance intervals for both the newly diagnosed and recurrent tumor setting. Additionally, we summarize situations in which imaging is advisable outside of these intervals.
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Affiliation(s)
- Jasmin Jo
- Department of Internal Medicine, Division of Hematology and Oncology, East Carolina University, Greenville, North Carolina, USA
| | - Martin J van den Bent
- Department of Neuro-Oncology/Neurology, Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, Netherland
| | - Burt Nabors
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center; Division of Neuro-Oncology, Department of Neurology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, Massachusetts, USA
| | - David Schiff
- Corresponding Author: David Schiff, MD, University of Virginia Neuro-Oncology Center, Box 800432 Charlottesville, VA 22908-0432, USA ()
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Wan X, Liu L, Wang W, Tan Q, Su X, Zhang S, Yang X, Yue Q, Gong Q. 1H-MRS reveals metabolic alterations in generalized tonic-clonic seizures before and after treatment. Acta Neurol Scand 2022; 145:200-207. [PMID: 34595746 DOI: 10.1111/ane.13534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 02/05/2023]
Abstract
AIMS To explore the possible metabolic alterations of bilateral dorsolateral prefrontal cortices (DLPFC) of generalized tonic-clonic seizures (GTCS) patients before and after antiepileptic drugs treatment as compared with healthy controls (HCs) using proton magnetic resonance spectroscopy (1H-MRS). METHODS We included 23 newly diagnosed and unmedicated GTCS patients and 23 sex- and age-matched HCs. Metabolites including N-acetyl aspartate (NAA), myo-inositol (Ins), choline (Cho), creatine (Cr), and glutamate + glutamine (Glu + Gln, Glx) concentrations were quantified by using LCModel software and then corrected for the partial volume effect of cerebrospinal fluid. RESULTS The results demonstrated that metabolite concentrations were not equal between the left and the right DLPFC. Compared with HC, NAA of the left DLPFC and Cr of the right DLPFC were significantly lower in pre-treatment patients. Self-controlled study revealed that the patients' NAA of the left DLPFC increased while their Cr of the right DLPFC decreased after treatment. Correlation analysis showed a negative correlation between the duration of medication and the pre- and post-treatment difference of Cr. CONCLUSION These findings may shed a light on the metabolic mechanism of GTCS and the neurobiochemical mechanisms of AEDs.
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Affiliation(s)
- Xinyue Wan
- Department of Radiology Huaxi MR Research Center (HMRRC) West China Hospital of Sichuan University Chengdu China
| | - Ling Liu
- Department of Neurology West China Hospital of Sichuan University Chengdu China
| | - Weina Wang
- Department of Radiology College of Medicine The First Affiliated Hospital Zhejiang University Hangzhou China
| | - Qiaoyue Tan
- Department of Radiology Huaxi MR Research Center (HMRRC) West China Hospital of Sichuan University Chengdu China
| | - Xiaorui Su
- Department of Radiology Huaxi MR Research Center (HMRRC) West China Hospital of Sichuan University Chengdu China
| | - Simin Zhang
- Department of Radiology Huaxi MR Research Center (HMRRC) West China Hospital of Sichuan University Chengdu China
| | - Xibiao Yang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
| | - Qiang Yue
- Department of Radiology West China Hospital of Sichuan University Chengdu China
| | - Qiyong Gong
- Department of Radiology Huaxi MR Research Center (HMRRC) West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province Chengdu China
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43
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Fan Y, Wang Y, Zhang J, Dong X, Gao P, Liu K, Ma C, Zhao G. Breaking Bad: Autophagy Tweaks the Interplay Between Glioma and the Tumor Immune Microenvironment. Front Immunol 2021; 12:746621. [PMID: 34671362 PMCID: PMC8521049 DOI: 10.3389/fimmu.2021.746621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
Though significant strides in tumorigenic comprehension and therapy modality have been witnessed over the past decades, glioma remains one of the most common and malignant brain tumors characterized by recurrence, dismal prognosis, and therapy resistance. Immunotherapy advance holds promise in glioma recently. However, the efficacy of immunotherapy varies among individuals with glioma, which drives researchers to consider the modest levels of immunity in the central nervous system, as well as the immunosuppressive tumor immune microenvironment (TIME). Considering the highly conserved property for sustaining energy homeostasis in mammalian cells and repeatedly reported links in malignancy and drug resistance, autophagy is determined as a cutting angle to elucidate the relations between glioma and the TIME. In this review, heterogeneity of TIME in glioma is outlined along with the reciprocal impacts between them. In addition, controversies on whether autophagy behaves cytoprotectively or cytotoxically in cancers are covered. How autophagy collapses from its homeostasis and aids glioma malignancy, which may depend on the cell type and the cellular context such as reactive oxygen species (ROS) and adenosine triphosphate (ATP) level, are briefly discussed. The consecutive application of autophagy inducers and inhibitors may improve the drug resistance in glioma after overtreatments. It also highlights that autophagy plays a pivotal part in modulating glioma and the TIME, respectively, and the intricate interactions among them. Specifically, autophagy is manipulated by either glioma or tumor-associated macrophages to conform one side to the other through exosomal microRNAs and thereby adjust the interactions. Given that some of the crosstalk between glioma and the TIME highly depend on the autophagy process or autophagic components, there are interconnections influenced by the status and well-being of cells presumably associated with autophagic flux. By updating the most recent knowledge concerning glioma and the TIME from an autophagic perspective enhances comprehension and inspires more applicable and effective strategies targeting TIME while harnessing autophagy collaboratively against cancer.
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Affiliation(s)
- Yuxiang Fan
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Yubo Wang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Jian Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Xuechao Dong
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Pu Gao
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Kai Liu
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Chengyuan Ma
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Gang Zhao
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
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44
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Wong AMC, Siow TY, Wei KC, Chen PY, Toh CH, Castillo M. Prediction of Malignant Transformation of WHO II Astrocytoma Using Mathematical Models Incorporating Apparent Diffusion Coefficient and Contrast Enhancement. Front Oncol 2021; 11:744827. [PMID: 34660309 PMCID: PMC8511697 DOI: 10.3389/fonc.2021.744827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/14/2021] [Indexed: 11/30/2022] Open
Abstract
Using only increasing contrast enhancement as a marker of malignant transformation (MT) in gliomas has low specificity and may affect interpretation of clinical outcomes. Therefore we developed a mathematical model to predict MT of low-grade gliomas (LGGs) by considering areas of reduced apparent diffusion coefficient (ADC) with increased contrast enhancement. Patients with contrast-enhancing LGGs who had contemporaneous ADC and histopathology were retrospectively analyzed. Multiple clinical factors and imaging factors (contrast-enhancement size, whole-tumor size, and ADC) were assessed for association with MT. Patients were split into training and validation groups for the development of a predictive model using logistic regression which was assessed with receiver operating characteristic analysis. Among 132 patients, (median age 46.5 years), 106 patients (64 MT) were assigned to the training group and 26 (20 MT) to the validation group. The predictive model comprised age (P = 0.110), radiotherapy (P = 0.168), contrast-enhancement size (P = 0.015), and ADC (P < 0.001). The predictive model (area-under-the-curve [AUC] 0.87) outperformed ADC (AUC 0.85) and contrast-enhancement size (AUC 0.67). The model had an accuracy of 84% for the training group and 85% respectively for the validation group. Our model incorporating ADC and contrast-enhancement size predicted MT in contrast-enhancing LGGs.
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Affiliation(s)
- Alex Mun-Ching Wong
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Keelung, Keelong, Taiwan.,College of Medicine, Chang Gung University, Tao-Yuan, Taiwan
| | - Tiing Yee Siow
- College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Tao-Yuan, Taiwan
| | - Kuo-Chen Wei
- College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.,Department of Neurosurgery, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Pin-Yuan Chen
- College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Tao-Yuan, Taiwan
| | - Cheng Hong Toh
- College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Tao-Yuan, Taiwan
| | - Mauricio Castillo
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, United States
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Kirby AJ, Finnerty GT. New strategies for managing adult gliomas. J Neurol 2021; 268:3666-3674. [PMID: 32542524 PMCID: PMC8463358 DOI: 10.1007/s00415-020-09884-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/30/2020] [Accepted: 05/02/2020] [Indexed: 12/19/2022]
Abstract
Gliomas are hard to treat. Their prognosis has improved little over the past few decades. Fundamental therapeutic challenges such as treatment resistance, malignant progression, and tumour recurrence persist. New strategies are needed to advance the management and treatment of gliomas. Here, we focus on where those new strategies could emerge. We consider how recent advances in our understanding of the biology of adult gliomas are informing new approaches to their treatment.
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Affiliation(s)
- Alastair J Kirby
- Department of Basic and Clinical Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Gerald T Finnerty
- Department of Basic and Clinical Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
- Department of Neurology, King's College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, UK.
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46
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Fan Y, Peng X, Wang Y, Li B, Zhao G. Comprehensive Analysis of HDAC Family Identifies HDAC1 as a Prognostic and Immune Infiltration Indicator and HDAC1-Related Signature for Prognosis in Glioma. Front Mol Biosci 2021; 8:720020. [PMID: 34540896 PMCID: PMC8442956 DOI: 10.3389/fmolb.2021.720020] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 07/19/2021] [Indexed: 01/24/2023] Open
Abstract
Background: The histone deacetylase (HDAC) family limited accessibility to chromatin containing tumor suppressor genes by removing acetyl groups, which was deemed a path for tumorigenesis. Considering glioma remained one of the most common brain cancers with a dichotomy prognosis and limited therapy responses, HDAC inhibitors were an area of intensive research. However, the expression profiles and prognostic value of the HDACs required more elucidation. Methods: Multiple biomedical databases were incorporated, including ONCOMINE, GEPIA, TCGA, CGGA, GEO, TIMER, cBioPortal, and Metascape, to study expression profiles, prognostic value, immune infiltration, mutation status, and enrichment of HDACs in glioma. STRING and GeneMANIA databases were used to identify HDAC1-related molecules. LASSO regression, Cox regression, Kaplan-Meier plot, and receiver operating characteristic (ROC) analyses were performed for HDAC1-related signature construction and validation. Results: HDAC1 was significantly overexpressed in glioma, while HDAC11 was downregulated in glioblastoma. Except for HDAC 6/9/10, the HDAC family expression was significantly associated with glioma grade. Most of the HDAC family also correlated with glioma genetic mutations. Higher HDAC1 expression level predicted more dismal overall survival (OS) (p < 0.0001) and disease-free survival (DFS) (p < 0.0001), but a higher level of HDAC11 held more favorable OS (p = 2.1e-14) and DFS (p = 4.8e-08). HDAC4 displayed the highest mutation ratio, at 2.6% of the family. The prognostic value of HDAC1 was validated with ROC achieving 0.70, 0.77, 0.75, and 0.80 as separability for 1-, 3-, 5-, and 10-years OS predictions in glioma, respectively. Moreover, HDAC1 expression positively correlated with neutrophil (r = 0.60, p = 2.88e-47) and CD4+ T cell infiltration (r = 0.52, p = 3.96e-35) in lower-grade glioma. The final HDAC1-related signature comprised of FKBP3, HDAC1 (Hazard Ratio:1.49, 95%Confidence Interval:1.20-1.86), PHF21A, RUNX1T1, and RBL1, and was verified by survival analysis (p < 0.0001) and ROC with 0.80, 0.84, 0.83, and 0.88 as separability for 1-, 3-, 5-, and 10-years OS predictions, respectively. The signature was enriched in chromatin binding. Conclusion: HDAC family was of clinical significance for glioma. Most of the HDAC family significantly correlated with the glioma grade, IDH1 mutation, and 1p/19q codeletion. HDAC1 was both a prognostic and immune infiltration indicator and a central component of the HDAC1-related signature for precise prognosis prediction in glioma.
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Affiliation(s)
- Yuxiang Fan
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Xinyu Peng
- Department of Hepatobiliary Pancreatic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Yubo Wang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Baoqin Li
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Gang Zhao
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
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Silvaggi F, Silvani A, Lamperti EA, Leonardi M. Pathways of follow-up care in an Italian center: retrospective study on patients with gliomas II and III. Neurol Sci 2021; 43:1303-1310. [PMID: 34235605 DOI: 10.1007/s10072-021-05415-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/16/2021] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Glioma is the most common primary brain cancer in adults. Long-term and progression-free survivals are dependent on the type and grade of glioma, as well as on the extent of resection and postoperative treatments. In Italy, it is unclear how long follow-up care should last and whether the primary care sector is either willing or able to take this on. The aim is to determine pathways of follow-up care and evaluate the professional attitude of doctors to prescribe to patient visits and exams after surgery. METHODS A retrospective study was performed on patients with glioma II and III who underwent surgery at tertiary care Neurological Institute Besta of Milan (FINCB) from 2012 to 2020. Data were collected through electronic medical records and inserted in an ad hoc developed database. RESULTS Three pathways have been identified: a common preliminary pathway (from the pre-operative visit to surgery) for all patients undergoing surgery for gliomas II and III and two follow-up pathways (with or without second surgery). CONCLUSIONS FINCB has developed care pathways that are sometimes personalized according to the doctor's expertise and attitude to prescribe new examinations. Given the lack of guidelines on this issue, we can cautiously conclude that it is necessary to identify whether, in addition to standard care, personalized supportive care intervention and pathway plan can significantly improve patients' outcome.
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Affiliation(s)
- Fabiola Silvaggi
- UOC Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy.
| | - Antonio Silvani
- Department of Clinical Neurosciences, UOC Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Elena Antonia Lamperti
- Department of Clinical Neurosciences, UOC Neuro-Oncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Matilde Leonardi
- UOC Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
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Zhang Y, Yang X, Zhu XL, Bai H, Wang ZZ, Zhang JJ, Hao CY, Duan HB. S100A gene family: immune-related prognostic biomarkers and therapeutic targets for low-grade glioma. Aging (Albany NY) 2021; 13:15459-15478. [PMID: 34148033 PMCID: PMC8221329 DOI: 10.18632/aging.203103] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 05/13/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Despite the better prognosis given by surgical resection and chemotherapy in low-grade glioma (LGG), progressive transformation is still a huge concern. In this case, the S100A gene family, being capable of regulating inflammatory responses, can promote tumor development. METHODS The analysis was carried out via ONCOMINE, GEPIA, cBioPortal, String, GeneMANIA, WebGestalt, LinkedOmics, TIMER, CGGA, R 4.0.2 and immunohistochemistry. RESULTS S100A2, S100A6, S100A10, S100A11, and S100A16 were up-regulated and S100A1 and S100A13 were down-regulated in LGG compared to normal tissues. S100A3, S100A4, S100A8, and S100A9 expression was up-regulated during the progression of glioma grade. In addition, genetic variation of the S100A family was high in LGG, and the S100A family genes mostly function through IL-17 signaling pathway, S100 binding protein, and inflammatory responses. The TIMER database also revealed a relationship between gene expression and immune cell infiltration. High expression of S100A2, S100A3, S100A4, S100A6, S100A8, S100A9, S100A10, S100A11, S100A13, and S100A16 was significantly associated with poor prognosis in LGG patients. S100A family genes S100A2, S100A3, S100A6, S100A10, and S100A11 may be prognosis-related genes in LGG, and were significantly associated with IDH mutation and 1p19q codeletion. The immunohistochemical staining results also confirmed that S100A2, S100A3, S100A6, S100A10, and S100A11 expression was upregulated in LGG. CONCLUSION The S100A family plays a vital role in LGG pathogenesis, presumably facilitating LGG progression via modulating inflammatory state and immune cell infiltration.
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Affiliation(s)
- Yu Zhang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Xin Yang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Xiao-Lin Zhu
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Hao Bai
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Zhuang-Zhuang Wang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Jun-Jie Zhang
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Chun-Yan Hao
- Department of Geriatrics, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
| | - Hu-Bin Duan
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China.,Department of Neurosurgery, Lvliang People's Hospital, Lvliang 033000, Shanxi, P.R. China
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49
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Lin H, Yang Y, Hou C, Huang Y, Zhou L, Zheng J, Lv G, Mao R, Chen S, Xu P, Zhou Y, Wang P, Zhou D. Validation of the functions and prognostic values of synapse-associated proteins in lower-grade glioma. Biosci Rep 2021; 41:BSR20210391. [PMID: 33969375 PMCID: PMC8164110 DOI: 10.1042/bsr20210391] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/04/2021] [Accepted: 05/07/2021] [Indexed: 02/05/2023] Open
Abstract
Synapse and synapse-associated proteins (SAPs) play critical roles in various neurodegeneration diseases and brain tumors. However, in lower-grade gliomas (LGG), SAPs have not been explored systematically. Herein, we are going to explore SAPs expression profile and its clinicopathological significance in LGG which can offer new insights to glioma therapy. In the present study, we integrate a list of SAPs that covered 231 proteins with synaptogenesis activity and post synapse formation. The LGG RNA-seq data were downloaded from GEO, TCGA and CGGA database. The prognosis associated SAPs in key modules of PPI (protein-protein interaction networks) was regarded as hub SAPs. Western blot, quantitative reverse transcription PCR (qRT-PCR) and immunochemistry results from HPA database were used to verify the expression of hub SAPs. There were 68 up-regulated SAPs and 44 down-regulated SAPs in LGG tissue compared with normal brain tissue. Data from function enrichment analysis revealed functions of differentially expressed SAPs in synapse organization and glutamatergic receptor pathway in LGGs. Survival analysis revealed that four SAPs, GRIK2, GABRD, GRID2 and ARC were correlate with the prognosis of LGG patients. Interestingly, we found that GABRD were up-regulated in LGG patients with seizures, indicating that SAPs may link to the pathogenesis of seizures in glioma patients. The four-SAPs signature was revealed as an independent prognostic factor in gliomas. Our study presented a novel strategy to assess the prognostic risks of LGGs, based on the expression of SAPs.
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Affiliation(s)
- Han Lin
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Yong Yang
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chongxian Hou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yuqing Huang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Liting Zhou
- International Department, Affiliated High School of South China Normal University, Guangzhou, China
| | - Jiantao Zheng
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Guangzhao Lv
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Rui Mao
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Shanwei Chen
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Peihong Xu
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Yujun Zhou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Southern Medical University, Guangzhou, China
| | - Peng Wang
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dong Zhou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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50
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Rossi M, Gay L, Ambrogi F, Conti Nibali M, Sciortino T, Puglisi G, Leonetti A, Mocellini C, Caroli M, Cordera S, Simonelli M, Pessina F, Navarria P, Pace A, Soffietti R, Rudà R, Riva M, Bello L. Association of supratotal resection with progression-free survival, malignant transformation, and overall survival in lower-grade gliomas. Neuro Oncol 2021; 23:812-826. [PMID: 33049063 DOI: 10.1093/neuonc/noaa225] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Supratotal resection is advocated in lower-grade gliomas (LGGs) based on theoretical advantages but with limited verification of functional risk and data on oncological outcomes. We assessed the association of supratotal resection in molecularly defined LGGs with oncological outcomes. METHODS Included were 460 presumptive LGGs; 404 resected; 347 were LGGs, 319 isocitrate dehydrogenase (IDH)-mutated, 28 wildtype. All patients had clinical, imaging, and molecular data. Resection aimed at supratotal resection without any patient or tumor a priori selection. The association of extent of resection (EOR), categorized on volumetric fluid attenuated inversion recovery images as residual tumor volume, along with postsurgical management with progression-free survival (PFS), malignant (M)PFS, and overall survival (OS) assessed by univariate, multivariate, and propensity score analysis. The study mainly focused on IDH-mutated LGGs, the "typical LGGs." RESULTS Median follow-up was 6.8 years (interquartile range, 5-8). Out of 319 IDH-mutated LGGs, 190 (59.6%) progressed, median PFS: 4.7 years (95% CI: 4-5.3). Total and supratotal resection obtained in 39% and 35% of patients with IDH1-mutated tumors. In IDH-mutated tumors, most patients in the partial/subtotal group progressed, 82.4% in total, only 6 (5.4%) in supratotal. Median PFS was 29 months (95% CI: 25-36) in subtotal, 46 months (95% CI: 38-48) in total, while at 92 months, PFS in supratotal was 94.0%. There was no association with molecular subtypes and grade. At random forest analysis, PFS strongly associated with EOR, radiotherapy, and previous treatment. In the propensity score analysis, EOR associated with PFS (hazard ratio, 0.03; 95% CI: 0.01-0.13). MPFS occurred in 32.1% of subtotal total groups; 1 event in supratotal. EOR, grade III, previous treatment correlated to MPFS. At random forest analysis, OS associated with EOR as well. CONCLUSIONS Supratotal resection strongly associated with PFS, MPFS, and OS in LGGs, regardless of molecular subtypes and grade, right from the beginning of clinical presentation.
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Affiliation(s)
- Marco Rossi
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Lorenzo Gay
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Federico Ambrogi
- Laboratory of Medical Statistics, Biometry and Epidemiology "G.A.Maccararo," Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Guglielmo Puglisi
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Antonella Leonetti
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Cristina Mocellini
- Neuro-oncologia, Divisione di Neurologia, Ospedale Santa Croce e Carle, Cuneo, Italy
| | - Manuela Caroli
- Neurochirurgia, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milano, Italy
| | - Susanna Cordera
- Neuro-oncologia, Divisione di Neurologia, Ospedale Regionale Parini, Aosta, Italy
| | - Matteo Simonelli
- Humanitas Cancer Center, Humanitas Research Hospital, IRCCS, Rozzano, Italy
| | - Federico Pessina
- Humanitas Cancer Center, Humanitas Research Hospital, IRCCS, Rozzano, Italy
| | - Piera Navarria
- Humanitas Cancer Center, Humanitas Research Hospital, IRCCS, Rozzano, Italy
| | - Andrea Pace
- Neuro-Oncologia, Istituto Nazionale Tumori Regina Elena, Roma, Italy
| | - Riccardo Soffietti
- Neuro-Oncologia, Città della Salute e della Scienza, Università di Torino, Torino, Italy
| | - Roberta Rudà
- Neuro-Oncologia, Città della Salute e della Scienza, Università di Torino, Torino, Italy
| | - Marco Riva
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Dept of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.,IRCCS Istituto Ortopedico Galeazzi, Neurosurgical Oncology Unit, Milano, Italy
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