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Kim JE, Park JE, Park SY, Kim YH, Hong CK, Kim JH, Kim HS. Defining subventricular zone involvement to predict the survival of patients in isocitrate dehydrogenase-wild type glioblastoma: validation in a prospective registry. Eur Radiol 2023; 33:6448-6458. [PMID: 37060448 DOI: 10.1007/s00330-023-09625-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/11/2023] [Accepted: 02/24/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVES The prognostic value of subventricular zone distance (SVD) is unclear because of different definitions and lack of evaluation of clinical survival models. The aim of this study was to define SVD and evaluate its prognostic value in a survival nomogram for glioblastoma. METHODS This retrospective study included 158 (SVD biomarker) from historical glioblastoma patients and 187 (survival modeling) with IDH-wild type glioblastoma from a prospective registry (NCT02619890). SVD was assessed by two radiologists: definition 1, the distance between the tumor edge to subventricular zone (SVZ); definition 2, the distance between the tumor centroid to SVZ; definition 3, enhancement at the ventricular wall. The associations between SVD and overall survival (OS) were evaluated using multivariable Cox proportional hazards regression analysis. Performance of an updated SVD survival model was compared with that of the Radiation Therapy Oncology Group (RTOG) 0525 nomogram. RESULTS SVD according to both definition 1 (hazard ratio [HR]: 0.97, 95% CI: 0.94-0.99; p = .011) and definition 2 (HR: 0.96, 0.94-0.98, p < .001) was adversely associated with OS. Definition 1 was adversely associated with PFS (HR: 0.96, 0.94-0.99, p = .008) and showed the highest reproducibility (intraclass correlation coefficient, 0.90). The SVD-updated model showed similar to better performance than the RTOG model for predicting OS of up to 3 years (AUC: 0.735-0.738 vs. 0.687-0.708), with higher time-dependent specificity for 1-year (89.9% vs. 70.6%) and 3-year OS (93.3% vs. 80.0%). CONCLUSION SVZ distance is an independent adverse prognostic factor in patients with IDH-wild type glioblastoma. Updating the survival model with SVZ provides better time-dependent specificity and reproducibility. KEY POINTS • Subventricular zone distance (SVD) measurement from tumor edge showed high reproducibility. • Longer SVD was independently associated with longer overall survival. • Adding SVD improved time-dependent specificity for survival model in a prospective registry.
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Affiliation(s)
- Ji Eun Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea.
| | - Seo Young Park
- Department of Statistics and Data Science, Korea National Open University, Seoul, Korea
| | - Young-Hoon Kim
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Chang-Ki Hong
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jeong Hoon Kim
- Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea
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2
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Corell A, Gomez Vecchio T, Ferreyra Vega S, Dénes A, Neimantaite A, Hagerius A, Barchéus H, Solheim O, Lindskog C, Olsson Bontell T, Carén H, Jakola AS, Smits A. Stemness and clinical features in relation to the subventricular zone in diffuse lower-grade glioma; an exploratory study. Neurooncol Adv 2022; 4:vdac074. [PMID: 35795469 PMCID: PMC9248775 DOI: 10.1093/noajnl/vdac074] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background The subventricular zone (SVZ) of the human brain is a site of adult stem cell proliferation and a microenvironment for neural stem cells (NSCs). It has been suggested that NSCs in the SVZ are potential cells of origin containing driver mutations of glioblastoma, but their role in the origin of diffuse lower-grade gliomas (dLGGs) is not much studied. Methods We included 188 patients ≥18 years with IDH-mutated dLGG (WHO grades 2–3) histologically diagnosed between 2007 and 2020. Tissue microarrays of tumor samples for patients between 2007 and 2016 were used for immunodetection of Nestin, SOX2, SOX9, KLF4, NANOG, CD133 cMYC, and Ki67. DNA methylation profile was used for stemness index (mDNAsi). Tumor contact with the SVZ was assessed and the distance was computed. Results Overall, 70.2% of the dLGG had SVZ contact. Tumors with SVZ contact were larger (102.4 vs 30.9 mL, P < .01), the patients were older (44.3 vs 40.4 years, P = .04) and more often had symptoms related to increased intracranial pressure (31.8% vs 7.1%, P < .01). The expression of SOX2, SOX9, Nestin, and Ki67 showed intersample variability, but no difference was found between tumors with or without SVZ contact, nor with the actual distance to the SVZ. mDNAsi was similar between groups (P = .42). Conclusions We found no statistical relationship between proximity with the SVZ and mDNAsi or expression of SOX2, SOX9, Nestin, and Ki67 in IDH-mutated dLGG. Our data suggest that the potential impact of SVZ on IDH-mutated dLGG is probably not associated with a more stemness-like tumor profile.
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Affiliation(s)
- Alba Corell
- Department of Neurosurgery, Sahlgrenska University Hospital , Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Tomás Gomez Vecchio
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Sandra Ferreyra Vega
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Anna Dénes
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Alice Neimantaite
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Alexander Hagerius
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Hanna Barchéus
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Ole Solheim
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology , Trondheim, Norway
- Department of Neurosurgery, St. Olavs University Hospital , Trondheim, Norway
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University , Uppsala, Sweden
| | - Thomas Olsson Bontell
- Department of Clinical Pathology and Cytology, Sahlgrenska University Hospital , Gothenburg, Sweden
- Department of Physiology, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Helena Carén
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
| | - Asgeir S Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital , Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology , Trondheim, Norway
| | - Anja Smits
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden
- Department of Medicine, Neurology, Uppsala University , Uppsala, Sweden
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Bruil DE, David S, Nagtegaal SHJ, de Sonnaville SFAM, Verhoeff JJC. Irradiation of the Subventricular Zone and Subgranular Zone in High- and Low-Grade Glioma Patients: an Atlas-based Analysis on Overall Survival. Neurooncol Adv 2022; 4:vdab193. [PMID: 35128399 PMCID: PMC8809520 DOI: 10.1093/noajnl/vdab193] [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] [Indexed: 11/15/2022] Open
Abstract
Background Neural stem cells in the subventricular zone (SVZ) and subgranular zone (SGZ) are hypothesized to support growth of glioma. Therefore, irradiation of the SVZ and SGZ might reduce tumor growth and might improve overall survival (OS). However, it may also inhibit the repair capacity of brain tissue. The aim of this retrospective cohort study is to assess the impact of SVZ and SGZ radiotherapy doses on OS of patients with high-grade (HGG) or low-grade (LGG) glioma. Methods We included 273 glioma patients who received radiotherapy. We created an SVZ atlas, shared openly with this work, while SGZ labels were taken from the CoBrA atlas. Next, SVZ and SGZ regions were automatically delineated on T1 MR images. Dose and OS correlations were investigated with Cox regression and Kaplan-Meier analysis. Results Cox regression analyses showed significant hazard ratios for SVZ dose (univariate: 1.029/Gy, P < .001; multivariate: 1.103/Gy, P = .002) and SGZ dose (univariate: 1.023/Gy, P < .001; multivariate: 1.055/Gy, P < .001) in HGG patients. Kaplan-Meier analysis showed significant correlations between OS and high-/low-dose groups for HGG patients (SVZ: respectively 10.7 months (>30.33 Gy) vs 14.0 months (<30.33 Gy) median OS, P = .011; SGZ: respectively 10.7 months (>29.11 Gy) vs 15.5 months (<29.11 Gy) median OS, P < .001). No correlations between dose and OS were found for LGG patients. Conclusion Irradiation doses on neurogenic areas correlate negatively with OS in patients with HGG. Whether sparing of the SVZ and SGZ during radiotherapy improves OS, should be subject of prospective studies.
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Affiliation(s)
- Danique E Bruil
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Szabolcs David
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Steven H J Nagtegaal
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Joost J C Verhoeff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
- Corresponding Author: Joost J. C. Verhoeff, MD, PhD, Department of Radiation Oncology, University Medical Center Utrecht, HP Q 00.3.11 PO Box 85500, 3508 GA Utrecht, the Netherlands ()
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Soares LC, Al-Dalahmah O, Hillis J, Young CC, Asbed I, Sakaguchi M, O’Neill E, Szele FG. Novel Galectin-3 Roles in Neurogenesis, Inflammation and Neurological Diseases. Cells 2021; 10:3047. [PMID: 34831271 PMCID: PMC8618878 DOI: 10.3390/cells10113047] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/16/2022] Open
Abstract
Galectin-3 (Gal-3) is an evolutionarily conserved and multifunctional protein that drives inflammation in disease. Gal-3's role in the central nervous system has been less studied than in the immune system. However, recent studies show it exacerbates Alzheimer's disease and is upregulated in a large variety of brain injuries, while loss of Gal-3 function can diminish symptoms of neurodegenerative diseases such as Alzheimer's. Several novel molecular pathways for Gal-3 were recently uncovered. It is a natural ligand for TREM2 (triggering receptor expressed on myeloid cells), TLR4 (Toll-like receptor 4), and IR (insulin receptor). Gal-3 regulates a number of pathways including stimulation of bone morphogenetic protein (BMP) signaling and modulating Wnt signalling in a context-dependent manner. Gal-3 typically acts in pathology but is now known to affect subventricular zone (SVZ) neurogenesis and gliogenesis in the healthy brain. Despite its myriad interactors, Gal-3 has surprisingly specific and important functions in regulating SVZ neurogenesis in disease. Gal-1, a similar lectin often co-expressed with Gal-3, also has profound effects on brain pathology and adult neurogenesis. Remarkably, Gal-3's carbohydrate recognition domain bears structural similarity to the SARS-CoV-2 virus spike protein necessary for cell entry. Gal-3 can be targeted pharmacologically and is a valid target for several diseases involving brain inflammation. The wealth of molecular pathways now known further suggest its modulation could be therapeutically useful.
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Affiliation(s)
- Luana C. Soares
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, South Parks Road, Oxford OX1 3QX, UK; (L.C.S.); (I.A.)
- Department of Oncology, University of Oxford, Oxford OX1 3QX, UK;
| | - Osama Al-Dalahmah
- Irving Medical Center, Columbia University, New York, NY 10032, USA;
| | - James Hillis
- Massachusets General Hospital, Harvard Medical School, 15 Parkman Street, Boston, MA 02114, USA;
| | - Christopher C. Young
- Department of Neurological Surgery, University of Washington, 325 Ninth Avenue, Seattle, WA 98104, USA;
| | - Isaiah Asbed
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, South Parks Road, Oxford OX1 3QX, UK; (L.C.S.); (I.A.)
| | - Masanori Sakaguchi
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba 305-8575, Japan;
| | - Eric O’Neill
- Department of Oncology, University of Oxford, Oxford OX1 3QX, UK;
| | - Francis G. Szele
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, South Parks Road, Oxford OX1 3QX, UK; (L.C.S.); (I.A.)
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Karschnia P, Weller J, Blobner J, Stoecklein VM, Dorostkar MM, Rejeski K, Forbrig R, Niyazi M, von Baumgarten L, Dietrich J, Tonn JC, Thon N. Subventricular zone involvement is associated with worse outcome in glioma WHO grade 2 depending on molecular markers. Sci Rep 2021; 11:20045. [PMID: 34625590 PMCID: PMC8501091 DOI: 10.1038/s41598-021-97714-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 08/26/2021] [Indexed: 02/06/2023] Open
Abstract
Neural stem cells within the subventricular zone were identified as cells of origin driving growth of high-grade gliomas, and anatomical involvement of the subventricular zone has been associated with an inferior clinical outcome. Whether the association between poor outcome and subventricular zone involvement also applies to glioma of lower grades is unclear. We therefore analysed a retrospective cohort of 182 patients with glioma grade 2 (according to the WHO 2016 classification) including 78 individuals (43%) with subventricular zone involvement. Patients with and without subventricular zone involvement did not differ in regard to demographics, histopathology, and molecular markers. Notably, subventricular zone involvement was a negative prognostic marker for malignant progression and overall survival on uni- and multivariate analysis. When patients were stratified according to the cIMPACT-NOW update 6, subventricular zone involvement was negatively associated with outcome in IDH-wildtype astrocytomas and 1p19q-codeleted oligodendrogliomas but not in IDH-mutant astrocytomas. Collectively, subventricular zone involvement may represent a risk factor for worse outcome in glioma WHO grade 2 depending on the molecular tumor signature. The present data confirm the relevance of molecular glioma classifications as proposed by the cIMPACT-NOW update 6. These findings warrant evaluation in prospective cohorts.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany. .,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany. .,Department of Neurology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
| | - Jonathan Weller
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Jens Blobner
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Veit M Stoecklein
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Mario M Dorostkar
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Center for Neuropathology and Prion Research, Ludwig-Maximilians-University, Munich, Germany
| | - Kai Rejeski
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Department of Medicine III, Ludwig-Maximilians-University, Munich, Germany
| | - Robert Forbrig
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Department of Neuroradiology, Ludwig-Maximilians-University, Munich, Germany
| | - Maximilian Niyazi
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Department of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.,Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Jorg Dietrich
- Department of Neurology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Niklas Thon
- Department of Neurosurgery, Ludwig Maximilians University, Marchioninistrasse 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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6
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Zhang S, Zhao F, Zhou T, Liu D, Yao X, Fu W, Liu Z, Lan C, Lai Z, Liu C, Li H, Li Y, Hu S, Yin Y, Tan L, Li W, Li F, Hu R, Feng H. Combination of the Distance From Tumor Edge to Subventricular Zone and IDH Mutation Predicts Prognosis of Patients With Glioma. Front Oncol 2021; 11:693693. [PMID: 34490090 PMCID: PMC8417404 DOI: 10.3389/fonc.2021.693693] [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: 04/11/2021] [Accepted: 07/29/2021] [Indexed: 11/13/2022] Open
Abstract
Both subventricular zone (SVZ) contact and isocitrate dehydrogenase 1 (IDH1) mutation have been reported to be related to the outcome of glioma, respectively. However, far too little attention has been paid to the role of tumor edge-SVZ distance in the outcome of glioma. We aim to assess the value of tumor-SVZ distance, as well as combined tumor-SVZ distance and IDH status, in predicting the outcome of gliomas (WHO grade II-IV). Here, the MR images and clinical data from 146 patients were included in the current study. The relationship between survival and the tumor-SVZ distance as well as survival and combination of tumor-SVZ distance and IDH status were determined via univariate and multivariate analyses. In univariate analysis of tumor-SVZ distance, the patients were divided into three types (SVZ involvement, tumor-SVZ distance from 0 to 10 mm, and tumor-SVZ distance >10 mm). The results showed that the OS (p = 0.02) and PFS (p = 0.002) for the patients had a positive correlation with the tumor-SVZ distance. In addition, simple linear correlation found a significant relationship between the two parameters (OS and PFS) and tumor-SVZ distance in patients with non-SVZ-contacting glioma. Combination analysis of the tumor-SVZ distance and IDH status showed that IDH1 mutation and SVZ non-involvement enable favorable outcomes, whereas IDH1 wild type with SVZ involvement indicates a significantly worse prognosis in all patients. Moreover, in patients with non-SVZ-contacting glioma, IDH1 mutation concurrent with tumor-SVZ distance >10 mm has better OS and PFS. IDH1 wild type and tumor-SVZ distance from 0 to 10 mm suggest poorer OS and PFS. Multivariate analysis showed WHO grade IV, SVZ involvement, tumor-SVZ distance from 0 to 10 mm, IDH1 mutation, gross total resection, and chemotherapy serve as independent predictors of OS. WHO grade IV, SVZ involvement, tumor-SVZ distance from 0 to 10 mm, IDH1 mutation, and chemotherapy serve as independent predictors of PFS of patients with glioma. In conclusion, tumor-SVZ distance and IDH1 mutation status are the determinants affecting patient outcome.
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Affiliation(s)
- Shuixian Zhang
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Fengchun Zhao
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Tengyuan Zhou
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Dan Liu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaohong Yao
- Department of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenjuan Fu
- Department of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhi Liu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chuan Lan
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhaopan Lai
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yuhong Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shengli Hu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Yin
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Liang Tan
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenyan Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Fei Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Rong Hu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hua Feng
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
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Lao Y, Yu V, Pham A, Wang T, Cui J, Gallogly A, Chang E, Fan Z, Kaprealian T, Yang W, Sheng K. Quantitative Characterization of Tumor Proximity to Stem Cell Niches: Implications on Recurrence and Survival in GBM Patients. Int J Radiat Oncol Biol Phys 2021; 110:1180-1188. [PMID: 33600888 PMCID: PMC8238898 DOI: 10.1016/j.ijrobp.2021.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 01/15/2021] [Accepted: 02/08/2021] [Indexed: 12/30/2022]
Abstract
PURPOSE Emerging evidence has linked glioblastoma multiforme (GBM) recurrence and survival to stem cell niches (SCNs). However, the traditional tumor-ventricle distance is insufficiently powered for an accurate prediction. We aimed to use a novel inverse distance map for improved prediction. METHODS AND MATERIALS Two T1-magnetic resonance imaging data sets were included for a total of 237 preoperative scans for prognostic stratification and 55 follow-up scans for recurrent pattern identification. SCN, including the subventricular zone (SVZ) and subgranular zone (SGZ), were manually defined on a standard template. A proximity map was generated using the summed inverse distances to all SCN voxels. The mean and maximum proximity scores (PSm-SCN and PSmax-SCN) were calculated for each primary/recurrent tumor, deformably transformed into the template. The prognostic capacity of proximity score (PS)-derived metrics was assessed using Cox regression and log-rank tests. To evaluate the impact of SCNs on recurrence patterns, we performed group comparisons of PS-derived metrics between the primary and recurrent tumors. For comparison, the same analyses were conducted on PS derived from SVZ alone and traditional edge/center-to-ventricle metrics. RESULTS Among all SCN-derived features, PSm-SCN was the strongest survival predictor (P < .0001). PSmax-SCN was the best in risk stratification, using either evenly sorted (P = .0001) or k-means clustering methods (P = .0045). PS metrics based on SVZ only also correlated with overall survival and risk stratification, but to a lesser degree of significance. In contrast, edge/center-to-ventricle metrics showed weak to no prediction capacities in either task. Moreover, PSm-SCN,PSm-SVZ, and center-to-ventricle metrics revealed a significantly closer SCN distribution of recurrence than primary tumors. CONCLUSIONS We introduced a novel inverse distance-based metric to comprehensively capture the anatomic relationship between GBM tumors and SCN zones. The derived metrics outperformed traditional edge or center distance-based measurements in overall survival prediction, risk stratification, and recurrent pattern differentiation. Our results reveal the potential role of SGZ in recurrence aside from SVZ.
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Affiliation(s)
- Yi Lao
- Department of Radiation Oncology, University of California - Los Angeles, California
| | - Victoria Yu
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anthony Pham
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Theodore Wang
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Jing Cui
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Audrey Gallogly
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Eric Chang
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, California
| | - Tania Kaprealian
- Department of Radiation Oncology, University of California - Los Angeles, California
| | - Wensha Yang
- Department of Radiation Oncology, University of Southern California, Los Angeles, California.
| | - Ke Sheng
- Department of Radiation Oncology, University of California - Los Angeles, California.
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8
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Zhao K, Sun G, Wang Q, Xue Z, Liu G, Xia Y, Yao A, Zhao Y, You N, Yang C, Xu B. The Diagnostic Value of Conventional MRI and CT Features in the Identification of the IDH1-Mutant and 1p/19q Co-Deletion in WHO Grade II Gliomas. Acad Radiol 2021; 28:e189-e198. [PMID: 32359929 DOI: 10.1016/j.acra.2020.03.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 03/05/2020] [Accepted: 03/06/2020] [Indexed: 12/21/2022]
Abstract
RATIONALE AND OBJECTIVES The classification of patients based on pathology and molecular features is important for improving WHO grade II glioma patient prognosis, especially for the initially diagnosed patients. Less invasive and more convenient methods for the prediction of the pathological type and gene status are desired. MATERIALS AND METHODS This study investigates the ability to use conventional magnetic resonance imaging (MRI) and computed tomography (CT) features for determining the Isocitrate Dehydrogenase (IDH)-mutant and 1p/19q-codeletion status, through a retrospective review of information obtained from 189 WHO grade II glioma patients. Diffuse astrocytoma (IDH-mutant), Diffuse astrocytoma (IDH- wildtype) and Oligodendroglioma (IDH-mutant and 1p/19q co-deletion) were included in this cohort. All patients were divided into IDH-mutant group and IDH-wildtype group according to the IDH R132H mutation status. Moreover, all patients were divided into 1p/19q co-deletion group and 1p/19q non-codeletion group according to the 1p and 19q chromosome status. Patients underwent pre-operative CT and MRI scans, followed by operation and histopathological analyses, including immunohistochemistry and polymerase chain reaction analysis for IDH mutants, and fluorescence capillary electrophoresis analysis for the 1p/19q co-deletion. The χ2 test, logistical regression and receiver operating characteristic curve analysis were conducted for statistical analysis. RESULTS IDH-mutant group patients exhibited a higher calcification frequency (25.2% vs 2.4%, p = 0.006) and lower frequency of T1 enhancement (20.4% vs 38.1%, p = 0.028) comparing patients in IDH-wildtype group, while 1p/19q co-deletion group patients exhibited a higher calcification frequency (46.67% vs 2.6%, p < 0.001) and lower homogenous signal frequency in T2WI (12.0% vs 31.6%, p = 0.014), sharp lesion margins (14.7% vs 43.0%, p = 0.010), T2/fluid attenuated inversion recovery mismatch signs (22.7% vs 50.9%, p = 0.001), and subventricular zone involvement (64.0% vs 15.8%, p = 0.021) comparing patients in 1p/19q non-codeletion group. According to the results of receiver operating characteristic analysis, these features were observed to have certain diagnostic abilities, especially with regard to combination parameters, which had a high diagnostic capability, with an area under the curve of 0.848. CONCLUSION Conventional MRI and CT features, which still represent the most convenient and widely used predictive method, might be a promising noninvasive predictor for differentiating between varied WHO grade II gliomas. Patients with calcification and T1 nonenhancement are more likely to be IDH-mutant. Moreover, patients with noncalcification, homogenous signal, sharp lesion margins, subventricular zone involvement on T2 and T2/fluid attenuated inversion recovery mismatch signs are more likely to be 1p/19q non-codeletion.
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9
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Li K, Song H, Wang C, Lin Z, Yi G, Yang R, Ni B, Wang Z, Zhu T, Zhang W, Wang X, Liu Z, Huang G, Liu Y. The Ependymal Region Prevents Glioblastoma From Penetrating Into the Ventricle via a Nonmechanical Force. Front Neuroanat 2021; 15:679405. [PMID: 34163334 PMCID: PMC8215287 DOI: 10.3389/fnana.2021.679405] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/11/2021] [Indexed: 11/17/2022] Open
Abstract
Background Intraventricular penetration is rare in glioblastoma (GBM). Whether the ependymal region including the ependyma and subventricular zone (SVZ) can prevent GBM invasion remains unclear. Methods Magnetic resonance imaging (MRI) and haematoxylin–eosin (HE) staining were performed to evaluate the size and anatomical locations of GBM. Binary logistic regression analysis was used to assess the correlation between tumor-ependyma contact, ventricle penetration and clinical characteristics. Cell migration and invasion were assessed via Transwell assays and an orthotopic transplantation model. Results Among 357 patients with GBM, the majority (66%) showed ependymal region contact, and 34 patients (10%) showed ventricle penetration of GBM. GBM cells were spread along the ependyma in the orthotopic transplantation model. The longest tumor diameter was an independent risk factor for GBM-ependymal region contact, as demonstrated by univariate (OR = 1.706, p < 0.0001) and multivariate logistic regression analyses (OR = 1.767, p < 0.0001), but was not associated with ventricle penetration. Cerebrospinal fluid (CSF) could significantly induce tumor cell migration (p < 0.0001), and GBM could grow in CSF. Compared with those from the cortex, cells from the ependymal region attenuated the invasion of C6 whether cocultured with C6 or mixed with Matrigel (p = 0.0054 and p = 0.0488). Immunofluorescence analysis shows a thin gap with GFAP expression delimiting the tumor and ependymal region. Conclusion The ependymal region might restrict GBM cells from entering the ventricle via a non-mechanical force. Further studies in this area may reveal mechanisms that occur in GBM patients and may enable the design of new therapeutic strategies.
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Affiliation(s)
- Kaishu Li
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Department of Neurosurgery, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China
| | - Haimin Song
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chaohu Wang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhiying Lin
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guozhong Yi
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Runwei Yang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Bowen Ni
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ziyu Wang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Taichen Zhu
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wanghao Zhang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiran Wang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhifeng Liu
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guanglong Huang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yawei Liu
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.,The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Magnetic Resonance Features of Lower-grade Gliomas in Prediction of the Reverse Phase Protein A. J Comput Assist Tomogr 2021; 45:300-307. [PMID: 33512852 DOI: 10.1097/rct.0000000000001132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The Cancer Genome Atlas Research Network identified 4 novel protein expression-defined subgroups in patients with lower-grade gliomas (LGGs). The RPPA3 subtype had high levels of Epidermal Growth Factor Receptor and Human epidermal growth factor receptor-2, further increasing the chances for targeted therapy. In this study, we aimed to explore the relationships between magnetic resonance features and reverse phase protein array (RPPA) subtypes (R1-R4). METHODS Survival estimates for the Cancer Genome Atlas cohort were generated using the Kaplan-Meier method and time-dependent receiver operating characteristic curves. A total of 153 patients with LGG with brain magnetic resonance imaging from The Cancer Imaging Archive were retrospectively analyzed. Least absolute shrinkage and selection operator algorithm was used to reduce the feature dimensions of the RPPA3 subtype. RESULTS A total of 51 (33.3%) RPPA1 subtype, 42 (27.4) RPPA2 subtype, 19 (12.4%) RPPA3 subtype, and 38 (24.8%) RPPA4 subtype were identified. On multivariate logistic regression analysis, subventricular zone involvement [odds ratio (OR), 0.370; P = 0.006; 95% confidence interval (CI), 0.181-0.757) was associated with RPPA1 subtype [area under the curve (AUC), 0.598]. Volume of 60 cm3 or greater (OR, 5.174; P < 0.001; 95% CI, 2.182-12.267) was associated with RPPA2 subtype (AUC, 0.684). Proportion contrast-enhanced tumor greater than 5% (OR, 4.722; P = 0.010; 95% CI, 1.456-15.317), extranodular growth (OR, 5.524; P = 0.010; 95% CI, 1.509-20.215), and L/CS ratio equal to or greater than median (OR, 0.132; P = 0.003; 95% CI, 0.035-0.500) were associated with RPPA3 subtype (AUC, 0.825). Proportion contrast-enhanced tumor greater than 5% (OR, 0.206; P = 0.005; 95% CI, 0.068-0.625) was associated with RPPA4 subtype (AUC, 0.638). For the prediction of RPPA3 subtype, the nomogram showed good discrimination, with an AUC of 0.825 (95% CI, 0.711-0.939) and was well calibrated. The RPPA3 subtype was associated with shortest mean overall survival (RPPA3 subtype vs other: 613 vs 873 days; P < 0.05). The time-dependent receiver operating characteristic curves for the RPPA3 subtype was 0.72 (95% CI, 0.60-0.84) for survival at 1 year. Decision curve analysis indicated that prediction for the RPPA3 model was clinically useful. CONCLUSIONS The RPPA3 subtype is an unfavorable prognostic biomarker for overall survival in patients with LGG. Radiogenomics analysis of magnetic resonance features can predict the RPPA subtype preoperatively and may be of clinical value in tailoring the management strategies in patients with LGG.
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11
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Mi K, Chen F, Qian Z, Chen J, Lv D, Zhang C, Xu Y, Wang H, Zhang Y, Jiang Y, Shang D. Characterizing heterogeneity of non-small cell lung tumour microenvironment to identify signature prognostic genes. J Cell Mol Med 2020; 24:14608-14618. [PMID: 33184998 PMCID: PMC7754023 DOI: 10.1111/jcmm.16092] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 12/24/2022] Open
Abstract
Growing evidence has highlighted the immune response as an important feature of carcinogenesis and therapeutic efficacy in non‐small cell lung cancer (NSCLC). This study focused on the characterization of immune infiltration profiling in patients with NSCLC and its correlation with survival outcome. All TCGA samples were divided into three heterogeneous clusters based on immune cell profiles: cluster 1 ('low infiltration' cluster), cluster 2 ('heterogeneous infiltration' cluster) and cluster 3 ('high infiltration' cluster). The immune cells were responsible for a significantly favourable prognosis for the 'high infiltration' community. Cluster 1 had the lowest cytotoxic activity, tumour‐infiltrating lymphocytes and interferon‐gamma (IFN‐γ), as well as immune checkpoint molecules expressions. In addition, MHC‐I and immune co‐stimulator were also found to have lower cluster 1 expressions, indicating a possible immune escape mechanism. A total of 43 differentially expressed genes (DEGs) that overlapped among the groups were determined based on three clusters. Finally, based on a univariate Cox regression model, prognostic immune‐related genes were identified and combined to construct a risk score model able to predict overall survival (OS) rates in the validation datasets.
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Affiliation(s)
- Kai Mi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fuhui Chen
- Department of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhipeng Qian
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Jing Chen
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Dongxu Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Chunlong Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanjun Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Hongguang Wang
- School of Civil Engineering, Northeast Forestry University, Harbin, China.,Key Laboratory of Bio-based Material Science and Technology (Ministry of Education), School of Material Science and Engineering, Northeast Forestry University, Harbin, China
| | - Yuepeng Zhang
- Department of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yanan Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.,Department of Pharmacology (State-Province Key Laboratories of Biomedicine- Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, China.,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, China
| | - Desi Shang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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12
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Boonzaier NR, Hales PW, D'Arco F, Walters BC, Kaur R, Mankad K, Cooper J, Liasis A, Smith V, O'Hare P, Hargrave D, Clark CA. Quantitative MRI demonstrates abnormalities of the third ventricle subventricular zone in neurofibromatosis type-1 and sporadic paediatric optic pathway glioma. NEUROIMAGE-CLINICAL 2020; 28:102447. [PMID: 33038669 PMCID: PMC7554210 DOI: 10.1016/j.nicl.2020.102447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 09/17/2020] [Accepted: 09/20/2020] [Indexed: 11/26/2022]
Abstract
MRI provides supporting evidence of third ventricle subventricular involvement in OPG. Third ventricle subventricular zone ADC and CBF differs between NF1 and sporadic OPG. Third ventricle subventricular zone ADC correlates with vision in sporadic OPG.
Background The subventricular zone of the third ventricle (TVZ) is a germinal stem cell niche, identified as the possible location of optic pathway glioma (OPG) cell origin. Paediatric OPGs are predominantly diagnosed as low-grade astrocytomas, which are either sporadic or are associated with neurofibromatosis type-1 (NF1). These tumours often cause a significant impairment to visual acuity (VA). Infiltrative/invasive tumour activity is associated with increased apparent diffusion coefficient (ADC) and cerebral blood flow (CBF). This study aimed to determine whether TVZ imaging features differed between sporadic-OPG, NF1-OPG and controls, and whether the ADC and CBF profile at the germinal stem cell niche (the TVZ) correlated with the primary outcome of VA. Methods ADC and CBF MRI data were acquired from 30 paediatric OPG patients (median age 6 years; range 8 months–17 years), along with VA measurements, during clinical surveillance of their tumour. Values for mean ADC and maximum CBF were measured at the TVZ, and normalized to normal-appearing grey matter. These values were compared between the two OPG groups and the healthy control subjects, and multivariate linear regression was used to test the linear association between these values and patient’s VA. Results In the TVZ, normalized mean ADC was higher in NF1-associated OPG patients (N = 15), compared to both sporadic OPG patients (N = 15; p = 0.010) and healthy controls (N = 14; p < 0.001). In the same region, normalized maximum CBF was higher in sporadic OPG patients compared to both NF1-OPG patients (p = 0.016) and healthy controls (p < 0.001). In sporadic OPG patients only, normalized mean ADC in the TVZ was significantly correlated with visual acuity (R2 = 0.41, p = 0.019). No significant correlations were found between TVZ CBF and ADC values and visual acuity in the NF1-associated OPG patients. Conclusion Quantitative MRI detects TVZ abnormalities in both sporadic and NF1-OPG patients, and identifies TVZ features that differentiate the two. TVZ features may be useful MRI markers of interest in future predictive studies involving sporadic OPG.
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Affiliation(s)
- Natalie R Boonzaier
- Developmental Imaging and Biophysics Section, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, UK
| | - Patrick W Hales
- Developmental Imaging and Biophysics Section, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, UK.
| | - Felice D'Arco
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Bronwen C Walters
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ramneek Kaur
- Developmental Imaging and Biophysics Section, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, UK
| | - Kshitij Mankad
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Jessica Cooper
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Alki Liasis
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK; University of Pittsburgh Medical Center, Children's Hospital of Pittsburgh, Pittsburgh, USA
| | - Victoria Smith
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Patricia O'Hare
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Darren Hargrave
- Developmental Imaging and Biophysics Section, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, UK; Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Christopher A Clark
- Developmental Imaging and Biophysics Section, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, London, UK
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13
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Albuquerque LAF, Almeida JP, de Macêdo Filho LJM, Joaquim AF, Duffau H. Extent of resection in diffuse low-grade gliomas and the role of tumor molecular signature-a systematic review of the literature. Neurosurg Rev 2020; 44:1371-1389. [PMID: 32770298 DOI: 10.1007/s10143-020-01362-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 07/20/2020] [Accepted: 07/28/2020] [Indexed: 01/06/2023]
Abstract
There is a lack of class I evidence concerning the impact of surgery in the treatment of diffuse low-grade glioma; the early maximal resection with preservation of eloquent brain areas has been accepted as the first therapeutic option. We performed a systematic review of the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and protocol. Inclusion criteria: only case series with at least 100 patients containing supratentorial hemispheric diffuse low-grade glioma (according to any of the WHO classification used in papers published between 2000 to 2019), with pre- and postoperative MRI study were included in the qualitative and quantitative analyses. The extent of resection should be defined based on MRI at least in two categories and correlated with patients' outcomes (with univariate or multivariate analyses) using overall survival (OS) or malignant progression-free survival (MPFS). A total of 18 series with 4386 patients, published in 20 papers, were included in this systematic review. All the series that evaluates the relation between the extent of resection (EOR) and OS showed a statistically significant improvement of OS at univariate and/or multivariate analyzes with a greater EOR. Six studies showed a statistically significant improvement of MPFS with a greater EOR. We demonstrate that when a more rigorous analysis of EOR is performed, a benefit of a more aggressive resection on OS and MPFS is observed. Our review about EOR in different molecular groups of DLGG also suggests a benefit of maximum safe resection for all different subtypes, even though "radical surgery" may be associated with better OS and MPFS in tumors with a more aggressive signature.
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Affiliation(s)
- Lucas Alverne F Albuquerque
- Department of Neurosurgery, General Hospital of Fortaleza, Fortaleza, Ceará, Brazil. .,Department of Neurology, University of Campinas, Campinas, São Paulo, Brazil.
| | - João Paulo Almeida
- Department of Neurosurgery, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Andrei F Joaquim
- Department of Neurology, University of Campinas, Campinas, São Paulo, Brazil
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
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14
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Chiang GC, Pisapia DJ, Liechty B, Magge R, Ramakrishna R, Knisely J, Schwartz TH, Fine HA, Kovanlikaya I. The Prognostic Value of MRI Subventricular Zone Involvement and Tumor Genetics in Lower Grade Gliomas. J Neuroimaging 2020; 30:901-909. [PMID: 32721076 DOI: 10.1111/jon.12763] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/20/2020] [Accepted: 07/07/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND AND PURPOSE Glioblastomas (GBMs) that involve the subventricular zone (SVZ) have a poor prognosis, possibly due to recruitment of neural stem cells. The purpose of this study was to evaluate whether SVZ involvement by lower grade gliomas (LGG), WHO grade II and III, similarly predicts poorer outcomes. We further assessed whether tumor genetics and cellularity are associated with SVZ involvement and outcomes. METHODS Forty-five consecutive LGG patients with preoperative imaging and next generation sequencing were included in this study. Regional SVZ involvement and whole tumor apparent diffusion coefficient (ADC) values, as a measure of cellularity, were assessed on magnetic resonance imaging. Progression was determined by RANO criteria. Kaplan-Meier curves and Cox regression analyses were used to determine the hazard ratios (HR) for progression and survival. RESULTS Frontal, parietal, temporal, and overall SVZ involvement and ADC values were not associated with progression or survival (P ≥ .05). However, occipital SVZ involvement, seen in two patients, was associated with a higher risk of tumor progression (HR = 6.6, P = .016) and death (HR = 31.5, P = .015), CDKN2A/B mutations (P = .03), and lower ADC histogram values at the 5th (P = .026) and 10th percentiles (P = .046). Isocitrate dehydrogenase, phosphatase and tensin homolog, epidermal growth factor receptor, and cyclin-dependent kinase 4 mutations were also prognostic (P ≤ .05). CONCLUSIONS Unlike in GBM, overall SVZ involvement was not found to strongly predict poor prognosis in LGGs. However, occipital SVZ involvement, though uncommon, was prognostic and found to be associated with CDKN2A/B mutations and tumor hypercellularity. Further investigation into these molecular mechanisms underlying occipital SVZ involvement in larger cohorts is warranted.
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Affiliation(s)
- Gloria C Chiang
- Department of Radiology, Division of Neuroradiology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - David J Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Benjamin Liechty
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Rajiv Magge
- Department of Neurology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Rohan Ramakrishna
- Department of Neurosurgery, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Jonathan Knisely
- Department of Radiation Oncology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Theodore H Schwartz
- Department of Neurosurgery, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Howard A Fine
- Department of Neurology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
| | - Ilhami Kovanlikaya
- Department of Radiology, Division of Neuroradiology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY
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15
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Liu Z, Zhang J. Radiogenomics correlation between MR imaging features and mRNA-based subtypes in lower-grade glioma. BMC Neurol 2020; 20:259. [PMID: 32600353 PMCID: PMC7322922 DOI: 10.1186/s12883-020-01838-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 06/22/2020] [Indexed: 11/30/2022] Open
Abstract
Background To investigate associations between lower-grade glioma (LGG) mRNA-based subtypes (R1-R4) and MR features. Methods mRNA-based subtyping was obtained from the LGG dataset in The Cancer Genome Atlas (TCGA). We identified matching patients (n = 145) in The Cancer Imaging Archive (TCIA) who underwent MR imaging. The associations between mRNA-based subtypes and MR features were assessed. Results In the TCGA-LGG dataset, patients with the R2 subtype had the shortest median OS months (P < 0.05). The time-dependent ROC for the R2 subtype was 0.78 for survival at 12 months, 0.76 for survival at 24 months, and 0.76 for survival at 36 months. In the TCIA-LGG dataset, 41 (23.7%) R1 subtype, 40 (23.1%) R2 subtype, 19 (11.0%) R3 subtype and 45 (26.0%) R4 subtype cases were identified. Multivariate analysis revealed that enhancing margin (ill-defined, OR: 9.985; P = 0.003) and T1 + C/T2 mismatch (yes, OR: 0.091; P = 0.023) were associated with the R1 subtype (AUC: 0.708). The average accuracy of the ten-fold cross validation was 71%. Proportion of contrast-enhanced (CE) tumour (> 5%, OR: 14.733; P < 0.001) and necrosis/cystic changes (yes, OR: 0.252; P = 0.009) were associated with the R2 subtype (AUC: 0.832). The average accuracy of the ten-fold cross validation was 82%. Haemorrhage (yes, OR: 8.55; P < 0.001) was positively associated with the R3 subtype (AUC: 0.689). The average accuracy of the ten-fold cross validation was 87%. Proportion of CE tumour (> 5%, OR: 0.14; P < 0.001) was negatively associated with the R4 subtype (AUC: 0.672). The average accuracy of the ten-fold cross validation was 71%. For the prediction of the R2 subtype, the nomogram showed good discrimination and calibration. Decision curve analysis demonstrated that prediction with the R2 model was clinically useful. Conclusions Patients with the R2 subtype had the worst prognosis. We demonstrated that MRI features can identify distinct LGG mRNA-based molecular subtypes.
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Affiliation(s)
- Zhenyin Liu
- Department of Medical Imaging, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou City, 510623, PR China
| | - Jing Zhang
- Department of Medical Imaging, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou City, 510623, PR China.
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Skjulsvik AJ, Bø HK, Jakola AS, Berntsen EM, Bø LE, Reinertsen I, Myrmel KS, Sjåvik K, Åberg K, Berg T, Dai HY, Kloster R, Torp SH, Solheim O. Is the anatomical distribution of low-grade gliomas linked to regions of gliogenesis? J Neurooncol 2020; 147:147-157. [PMID: 31983026 PMCID: PMC7075820 DOI: 10.1007/s11060-020-03409-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/20/2020] [Indexed: 12/02/2022]
Abstract
INTRODUCTION According to the stem cell theory, two neurogenic niches in the adult human brain may harbor cells that initiate the formation of gliomas: The larger subventricular zone (SVZ) and the subgranular zone (SGZ) in the hippocampus. We wanted to explore whether defining molecular markers in low-grade gliomas (LGG; WHO grade II) are related to distance to the neurogenic niches. METHODS Patients treated at two Norwegian university hospitals with population-based referral were included. Eligible patients had histopathological verified supratentorial low-grade glioma. IDH mutational status and 1p19q co-deletion status was retrospectively assessed. 159 patients were included, and semi-automatic tumor segmentation was done from pre-treatment T2-weighted (T2W) or Fluid-Attenuated Inversion Recovery (FLAIR) images. 3D maps showing the anatomical distribution of the tumors were then created for each of the three molecular subtypes (IDH mutated/1p19q co-deleted, IDH mutated and IDH wild-type). Both distance from tumor center and tumor border to the neurogenic niches were recorded. RESULTS In this population-based cohort of previously untreated low-grade gliomas, we found that low-grade gliomas are more often found closer to the SVZ than the SGZ, but IDH wild-type tumors are more often found near SGZ. CONCLUSION Our study suggests that the stem cell origin of IDH wild-type and IDH mutated low-grade gliomas may be different.
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Affiliation(s)
- Anne Jarstein Skjulsvik
- Department of Pathology, St. Olavs University Hospital, Trondheim, Norway
- Departments of Clinical and Molecular Medicine, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Hans Kristian Bø
- Department of Diagnostic Imaging, Nordland Hospital Trust, Bodø, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Asgeir Store Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
- Department of Neuroscience and Movement Medicine, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Erik Magnus Berntsen
- Department of Circulation and Medical Imaging, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Olav Kyrres Gate, 7006 Trondheim, Norway
| | - Lars Eirik Bø
- Department of Health Research, SINTEF Digital, Trondheim, Norway
| | | | | | - Kristin Sjåvik
- Department of Neurosurgery, University Hospital of North Norway, Tromsö, Norway
| | - Kristin Åberg
- Department of Clinical Pathology, University Hospital of North Norway, Tromsö, Norway
| | - Thomas Berg
- Department of Clinical Pathology, University Hospital of North Norway, Tromsö, Norway
| | - Hong Yan Dai
- Department of Pathology, St. Olavs University Hospital, Trondheim, Norway
| | - Roar Kloster
- Department of Neurosurgery, University Hospital of North Norway, Tromsö, Norway
| | - Sverre Helge Torp
- Department of Pathology, St. Olavs University Hospital, Trondheim, Norway
- Departments of Clinical and Molecular Medicine, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs University Hospital, Olav Kyrres Gate, 7006 Trondheim, Norway
- Department of Neuroscience and Movement Medicine, Faculty of Medicine, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
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17
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MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas. Eur Radiol 2020; 30:3035-3045. [PMID: 32060714 DOI: 10.1007/s00330-020-06683-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/06/2020] [Accepted: 01/28/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE To identify significant prognostic magnetic resonance imaging (MRI) features and their prognostic value when added to clinical features in patients with isocitrate dehydrogenase wild-type (IDHwt) lower-grade gliomas. MATERIALS AND METHODS Preoperative MR images of 158 patients (discovery set = 112, external validation set = 46) with IDHwt lower-grade gliomas (WHO grade II or III) were retrospectively analyzed using the Visually Accessible Rembrandt Images feature set. Radiologic risk scores (RRSs) for overall survival were derived from the least absolute shrinkage and selection operator and elastic net. Multivariable Cox regression analysis, including age, Karnofsky Performance score, extent of resection, WHO grade, and RRS, was performed. The added prognostic value of RRS was calculated by comparing the integrated area under the receiver operating characteristic curve (iAUC) between models with and without RRS. RESULTS The presence of cysts, pial invasion, and cortical involvement were favorable prognostic factors, while ependymal extension, multifocal or multicentric distribution, nonlobar location, proportion of necrosis > 33%, satellites, and eloquent cortex involvement were significantly associated with worse prognosis. RRS independently predicted survival and significantly enhanced model performance for survival prediction when integrated to clinical features (iAUC increased to 0.773-0.777 from 0.737), which was successfully validated on the validation set (iAUC increased to 0.805-0.830 from 0.735). CONCLUSION MRI features associated with prognosis in patients with IDHwt lower-grade gliomas were identified. RRSs derived from MRI features independently predicted survival and significantly improved performance of survival prediction models when integrated into clinical features. KEY POINTS • Comprehensive analysis of MRI features conveys prognostic information in patients with isocitrate dehydrogenase wild-type lower-grade gliomas. • Presence of cysts, pial invasion, and cortical involvement of the tumor were favorable prognostic factors. • Radiological phenotypes derived from MRI independently predict survival and have the potential to improve survival prediction when added to clinical features.
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18
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Jaspers J, Mèndez Romero A, Hoogeman MS, van den Bent M, Wiggenraad RGJ, Taphoorn MJB, Eekers DBP, Lagerwaard FJ, Lucas Calduch AM, Baumert BG, Klein M. Evaluation of the Hippocampal Normal Tissue Complication Model in a Prospective Cohort of Low Grade Glioma Patients-An Analysis Within the EORTC 22033 Clinical Trial. Front Oncol 2019; 9:991. [PMID: 31681562 PMCID: PMC6797857 DOI: 10.3389/fonc.2019.00991] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 09/16/2019] [Indexed: 12/16/2022] Open
Abstract
Purpose: To evaluate the performance of the hippocampal normal tissue complication model that relates dose to the bilateral hippocampus to memory impairment at 18 months post-treatment in a population of low-grade glioma (LGG) patients. Methods: LGG patients treated within the radiotherapy-only arm of the EORTC 22033-26033 trial were analyzed. Hippocampal dose parameters were calculated from the original radiotherapy plans. Difference in Rey Verbal Auditory Learning test delayed recall (AVLT-DR) performance pre-and 18 (±4) months post-treatment was compared to reference data from the Maastricht Aging study. The NTCP model published by Gondi et al. was applied to the dosimetric data and model predictions were compared to actual neurocognitive outcome. Results: A total of 29 patients met inclusion criteria. Mean dose in EQD2 Gy to the bilateral hippocampus was 39.8 Gy (95% CI 34.3–44.4 Gy), the median dose to 40% of the bilateral hippocampus was 47.2 EQD2 Gy. The model predicted a risk of memory impairment exceeding 99% in 22 patients. However, only seven patients were found to have a significant decline in AVLT-dr score. Conclusions: In this dataset of only LGG patients treated with radiotherapy the hippocampus NTCP model did not perform as expected to predict cognitive decline based on dose to 40% of the bilateral hippocampus. Caution should be taken when extrapolating this model outside of the range of dose-volume parameters in which it was developed.
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Affiliation(s)
- Jaap Jaspers
- Department of Radiation Oncology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | - Alejandra Mèndez Romero
- Department of Radiation Oncology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | - Mischa S Hoogeman
- Department of Radiation Oncology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | | | - Ruud G J Wiggenraad
- Department of Radiation Oncology, Haaglanden Medical Center, Leidschendam, Netherlands
| | | | - Danielle B P Eekers
- Department of Radiotherapy, School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Frank J Lagerwaard
- Department of Radiation Oncology, Medical Center, VU University Amsterdam, Amsterdam, Netherlands
| | | | - Brigitta G Baumert
- Department of Radiation Oncology, University Hospital Bonn, Bonn, Germany
| | - Martin Klein
- Department of Medical Psychology, University Medical Center Amsterdam, Amsterdam, Netherlands
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19
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Wang ZL, Wang Z, Li GZ, Wang QW, Bao ZS, Zhang CB, Jiang T. Immune Cytolytic Activity Is Associated With Genetic and Clinical Properties of Glioma. Front Immunol 2019; 10:1756. [PMID: 31428092 PMCID: PMC6688525 DOI: 10.3389/fimmu.2019.01756] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 07/11/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Immunotherapy provided unprecedented advances in the treatment of several previously untreated cancers. However, these immunomodulatory maneuvers showed limited response to patients with glioma in clinical trials. Our aim was to depict the immune characteristics of glioma with immune cytolytic activity at genetic and transcriptome levels. Methods: In total, 325 gliomas from CGGA dataset as training cohort and 699 gliomas from TCGA dataset as validation cohort were enrolled in our analysis. We calculated the immune cytolytic activity for 1,000 of gliomas. The characteristics of immune cytolytic activity in gliomas were interpreted by the corresponding clinical, molecular genetics and radiological information. Results: We found that immune cytolytic activity was highly associated with molecular, clinical, and edema extent. High cytolytic activity gliomas were more likely to be diagnosed as glioblastoma and might be a potential marker of mesenchymal subtype. Moreover, those gliomas exhibited significantly increased copy number alterations including recurrent focal amplifications of PDGFA and EGFR, as well as recurrent deletions of CDKN2A/B. Subsequent biological function analysis revealed that the immune response and immune checkpoints expression were significantly correlated with the cytolytic activity of gliomas. Immune cytolytic activity was significantly positively associated with the extent of peri-tumor edema and was independently correlated with reduced survival time. Conclusion: Our results highlighted the immunoregulatory mechanism heterogeneity of gliomas. Cytolytic activity, indirectly reflected by the extent of peri-tumor edema, may provide a potential index to evaluate the status of immune microenvironment and immune checkpoints in glioma, which should be fully valued for precision classification and immunotherapy.
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Affiliation(s)
- Zhi-Liang Wang
- Department of Molecular Pathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Zheng Wang
- Department of Molecular Pathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Guan-Zhang Li
- Department of Molecular Pathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Qiang-Wei Wang
- Department of Molecular Pathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Zhao-Shi Bao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chuan-Bao Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tao Jiang
- Department of Molecular Pathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China
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20
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Liu Z, Liu H, Liu Z, Zhang J. Oligodendroglial tumours: subventricular zone involvement and seizure history are associated with CIC mutation status. BMC Neurol 2019; 19:134. [PMID: 31215432 PMCID: PMC6582578 DOI: 10.1186/s12883-019-1362-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 06/06/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND CIC-mutant oligodendroglial tumours linked to better prognosis. We aim to investigate associations between CIC gene mutation status, MR characteristics and clinical features. METHODS Imaging and genomic data from the Cancer Genome Atlas and the Cancer Imaging Archive (TCGA/TCIA) for 59 patients with oligodendroglial tumours were used. Differences between CIC mutation and CIC wild-type were tested using Chi-square test and binary logistic regression analysis. RESULTS In univariate analysis, the clinical variables and MR features, which consisted 3 selected features (subventricular zone[SVZ] involvement, volume and seizure history) were associated with CIC mutation status (all p < 0.05). A multivariate logistic regression analysis identified that seizure history (no vs. yes odd ratio [OR]: 28.960, 95 confidence interval [CI]:2.625-319.49, p = 0.006) and SVZ involvement (SVZ- vs. SVZ+ OR: 77.092, p = 0.003; 95% CI: 4.578-1298.334) were associated with a higher incidence of CIC mutation status. The nomogram showed good discrimination, with a C-index of 0.906 (95% CI: 0.812-1.000) and was well calibrated. SVZ- group has increased (SVZ- vs. SVZ+, hazard ratio [HR]: 4.500, p = 0.04; 95% CI: 1.069-18.945) overall survival. CONCLUSIONS Absence of seizure history and SVZ involvement (-) was associated with a higher incidence of CIC mutation.
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Affiliation(s)
- Zhenyin Liu
- Department of medical imaging, Guangzhou women and children's medical center, Guangzhou medical university, Jinsui road 9 #, Guangzhou City, 510623, People's Republic of China
| | - Hongsheng Liu
- Department of medical imaging, Guangzhou women and children's medical center, Guangzhou medical university, Jinsui road 9 #, Guangzhou City, 510623, People's Republic of China
| | - Zhenqing Liu
- Department of medical imaging, Guangzhou women and children's medical center, Guangzhou medical university, Jinsui road 9 #, Guangzhou City, 510623, People's Republic of China
| | - Jing Zhang
- Department of medical imaging, Guangzhou women and children's medical center, Guangzhou medical university, Jinsui road 9 #, Guangzhou City, 510623, People's Republic of China.
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21
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Wang ZL, Li GZ, Wang QW, Bao ZS, Wang Z, Zhang CB, Jiang T. PD-L2 expression is correlated with the molecular and clinical features of glioma, and acts as an unfavorable prognostic factor. Oncoimmunology 2018; 8:e1541535. [PMID: 30713802 PMCID: PMC6343813 DOI: 10.1080/2162402x.2018.1541535] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 10/22/2018] [Accepted: 10/24/2018] [Indexed: 12/22/2022] Open
Abstract
Background: Gliomas are aggressive tumors with various molecular and clinical characteristics and exhibit strongly resistance to radio-chemotherapy. Programmed cell death 1 ligand 2 (PD-L2) is a cell surface protein, which was reported in many cancers, modulating cancer-associated immune responses, while the role of PD-L2 in gliomas remained unclear. Herein, we aimed to investigate the biological behaviors and clinical prognostic values of PD-L2 in gliomas. Methods: Totally, we enrolled RNA sequencing data of 325 glioma samples from Chinese Glioma Genome Atlas (CGGA) as training cohort and RNA expression data of 1032 samples from The Cancer Genome Atlas (TCGA) dataset as validation cohort in this research. Then, the clinical and molecular characteristics, and the prognostic value of PD-L2 were analyzed. Results: We found that PD-L2 expression level was significantly upregulated in higher grade glioma and IDH wild-type glioma. Receiver Operating Characteristic (ROC) analysis revealed that PD-L2 was a potential indicator of mesenchymal subtype. PD-L2 exhibited tight relationship with immune response and immune-modulating process in glioma. Moreover, PD-L2 expression level could predict unfavorable prognoses of patients independent of age, grade, IDH status and 1p/19q status. Conclusions: Our study revealed that PD-L2 was closely related with inflammation and immune response. Patients with lower PD-L2 expression level tended to experience improved survival. Targeting PD-L2 may become a valuable approach for the treatment of gliomas in clinical practice.
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Affiliation(s)
- Zhi-Liang Wang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Guan-Zhang Li
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Qiang-Wei Wang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Zhao-Shi Bao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zheng Wang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Chuan-Bao Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tao Jiang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China
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22
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Bardella C, Al-Shammari AR, Soares L, Tomlinson I, O'Neill E, Szele FG. The role of inflammation in subventricular zone cancer. Prog Neurobiol 2018; 170:37-52. [PMID: 29654835 DOI: 10.1016/j.pneurobio.2018.04.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 03/10/2018] [Accepted: 04/07/2018] [Indexed: 12/12/2022]
Abstract
The adult subventricular zone (SVZ) stem cell niche has proven vital for discovering neurodevelopmental mechanisms and holds great potential in medicine for neurodegenerative diseases. Yet the SVZ holds a dark side - it can become tumorigenic. Glioblastomas can arise from the SVZ via cancer stem cells (CSCs). Glioblastoma and other brain cancers often have dismal prognoses since they are resistant to treatment. In this review we argue that the SVZ is susceptible to cancer because it contains stem cells, migratory progenitors and unusual inflammation. Theoretically, SVZ stem cells can convert to CSCs more readily than can postmitotic neural cells. Additionally, the robust long-distance migration of SVZ progenitors can be subverted upon tumorigenesis to an infiltrative phenotype. There is evidence that the SVZ, even in health, exhibits chronic low-grade cellular and molecular inflammation. Its inflammatory response to brain injuries and disease differs from that of other brain regions. We hypothesize that the SVZ inflammatory environment can predispose cells to novel mutations and exacerbate cancer phenotypes. This can be studied in animal models in which human mutations related to cancer are knocked into the SVZ to induce tumorigenesis and the CSC immune interactions that precede full-blown cancer. Importantly inflammation can be pharmacologically modulated providing an avenue to brain cancer management and treatment. The SVZ is accessible by virtue of its location surrounding the lateral ventricles and CSCs in the SVZ can be targeted with a variety of pharmacotherapies. Thus, the SVZ can yield aggressive tumors but can be targeted via several strategies.
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Affiliation(s)
- Chiara Bardella
- Institute of Cancer and Genomics Sciences, University of Birmingham, Birmingham, UK
| | - Abeer R Al-Shammari
- Research and Development, Qatar Research Leadership Program, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Luana Soares
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK; Department of Oncology, University of Oxford, Oxford, UK
| | - Ian Tomlinson
- Institute of Cancer and Genomics Sciences, University of Birmingham, Birmingham, UK
| | - Eric O'Neill
- Department of Oncology, University of Oxford, Oxford, UK
| | - Francis G Szele
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
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23
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Subventricular zone predicts high velocity of tumor expansion and poor clinical outcome in patients with low grade astrocytoma. Clin Neurol Neurosurg 2018; 168:12-17. [PMID: 29500965 DOI: 10.1016/j.clineuro.2018.02.036] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 01/27/2018] [Accepted: 02/24/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The aim of this study is to clarify the association between subventricular zone (SVZ) involvement and velocity of diametric expansion(VDE) in patients with low-grade astrocytoma and also assessed the clinical outcome of those patients. MATERIALS AND METHODS A total of 168 adult patients with newly diagnosed supratentorial low-grade astrocytoma were studied retrospectively. RESULTS There were 73 patients had SVZ involvement. Patients with SVZ involvement(7.16 ± 6.53 mm/y) had a higher VDE than patients without SVZ involvement(4.38 ± 5.35 mm/y). VDE was modeled as a categorical variable(<4, ≥4 and, <8, ≥8 and, <12, ≥12 mm/y). Logistic regression showed that SVZ involvement was associated with high VDE after adjusting by confounding variables. On the univariate analysis, the results showed that tumor involved with SVZ, VDE ≥ 4 mm/y, VDE ≥ 8 mm/y, and VDE ≥ 8 mm/y were significant predictors of a shorter OS, progression-free survival (PFS) and malignant progression-free survival (MFS)(all p <0.05). The categorical variables of VDE (<4 mm/y, ≥4 mm/y and, <8 mm/y, ≥8 mm/y and, <12 mm/y, ≥12 mm/y) were adjusted by confounding variables in multivariate analysis, respectively. The results indicated that VDE ≥ 8 mm/y, VDE ≥ 12 mm/y were worse prognostic factors for OS, while VDE ≥ 4 mm/y, VDE ≥ 8 mm/y and VDE ≥ 12 mm/y were related to shorter PFS and MFS. In addition, SVZ involvement was prognostic factors in predicting OS and PFS except MFS. CONCLUSION Our results demonstrated that SVZ involvement predicted high VDE and worse clinical outcome, and high VDE was associated with poor prognosis in patients with low-grade astrocytoma.
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24
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Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. UNDERSTANDING AND INTERPRETING MACHINE LEARNING IN MEDICAL IMAGE COMPUTING APPLICATIONS 2018. [DOI: 10.1007/978-3-030-02628-8_12] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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25
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Sinnaeve J, Mobley BC, Ihrie RA. Space Invaders: Brain Tumor Exploitation of the Stem Cell Niche. THE AMERICAN JOURNAL OF PATHOLOGY 2017; 188:29-38. [PMID: 29024634 DOI: 10.1016/j.ajpath.2017.08.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 07/22/2017] [Accepted: 08/17/2017] [Indexed: 12/20/2022]
Abstract
Increasing evidence indicates that the adult neurogenic niche of the ventricular-subventricular zone (V-SVZ), beyond serving as a potential site of origin, affects the outcome of malignant brain cancers. Glioma contact with this niche predicts worse prognosis, suggesting a supportive role for the V-SVZ environment in tumor initiation or progression. In this review, we describe unique components of the V-SVZ that may permit or promote tumor growth within the region. Cell-cell interactions, soluble factors, and extracellular matrix composition are discussed, and the role of the niche in future therapies is explored. The purpose of this review is to highlight niche intrinsic factors that may promote or support malignant cell growth and maintenance, and point out how we might leverage these features to improve patient outcome.
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Affiliation(s)
- Justine Sinnaeve
- Departments of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bret C Mobley
- Departments of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Rebecca A Ihrie
- Departments of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee; Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
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