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Tsujimura K, Ortug A, Alatorre Warren JL, Shiohama T, McDougle CJ, Marcus RE, Tseng CEJ, Zürcher NR, Mercaldo ND, Faja S, Maunakea A, Hooker J, Takahashi E. Structural pathways related to the subventricular zone are decreased in volume with altered microstructure in young adult males with autism spectrum disorder. Cereb Cortex 2025; 35:bhaf041. [PMID: 40055911 DOI: 10.1093/cercor/bhaf041] [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: 12/06/2024] [Revised: 01/27/2025] [Accepted: 02/05/2025] [Indexed: 03/22/2025] Open
Abstract
Autism spectrum disorder is a neurodevelopmental condition characterized by reduced social communication and repetitive behaviors. Altered neurogenesis, including disturbed neuronal migration, has been implicated in autism spectrum disorder. Using diffusion MRI, we previously identified neuronal migration pathways in the human fetal brain and hypothesized that similar pathways persist into adulthood, with differences in volume and microstructural characteristics between individuals with autism spectrum disorder and controls. We analyzed diffusion MRI-based tractography of subventricular zone-related pathways in 15 young adult men with autism spectrum disorder and 18 controls at Massachusetts General Hospital, with validation through the Autism Imaging Data Exchange II dataset. Participants with autism spectrum disorder had reduced subventricular zone pathway volumes and fractional anisotropy compared to controls. Furthermore, subventricular zone pathway volume was positively correlated (r: 0.68; 95% CI: 0.25 to 0.88) with symptom severity, suggesting that individuals with more severe symptoms tended to have larger subventricular zone pathway volumes, normalized by brain size. Analysis of the Autism Imaging Data Exchange cohort confirmed these findings of reduced subventricular zone pathway volumes in autism spectrum disorder. While some of these pathways may potentially include inaccurately disconnected pathways that go through the subventricular zone, our results suggest that diffusion MRI-based tractography pathways anatomically linked to the periventricular region are associated with certain symptom types in adult males with autism spectrum disorder.
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Affiliation(s)
- Keita Tsujimura
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
- Group of Brain Function and Development, Neuroscience Institute of the Graduate School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
- Research Unit for Developmental Disorders, Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Aichi, Japan
| | - Alpen Ortug
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
| | - José Luis Alatorre Warren
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - Tadashi Shiohama
- Department of Pediatrics, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan
| | - Christopher J McDougle
- Lurie Center for Autism, Massachusetts General Hospital, Lexington, MA 02421, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, United States
| | - Rachel E Marcus
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
- Lurie Center for Autism, Massachusetts General Hospital, Lexington, MA 02421, United States
| | - Chieh-En Jane Tseng
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
| | - Nicole R Zürcher
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
- Lurie Center for Autism, Massachusetts General Hospital, Lexington, MA 02421, United States
| | - Nathaniel D Mercaldo
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
| | - Susan Faja
- Division of Developmental Medicine, Department of Pediatrics, Harvard School of Medicine, Boston, MA 02215, United States
| | - Alika Maunakea
- Department of Anatomy, Biochemistry, and Physiology (ABP), John A. Burns School of Medicine (JABSOM), University of Hawaii, Manoa, Honolulu, HI 96813, United States
| | - Jacob Hooker
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
- Lurie Center for Autism, Massachusetts General Hospital, Lexington, MA 02421, United States
| | - Emi Takahashi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, United States
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Mohammadi M, Banisharif S, Moradi F, Zamanian M, Tanzifi G, Ghaderi S. Brain diffusion MRI biomarkers after oncology treatments. Rep Pract Oncol Radiother 2024; 28:823-834. [PMID: 38515826 PMCID: PMC10954263 DOI: 10.5603/rpor.98728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 12/04/2023] [Indexed: 03/23/2024] Open
Abstract
In addition to providing a measurement of the tumor's size and dimensions, magnetic resonance imaging (MRI) provides excellent noninvasive radiographic detection of tumor location. The MRI technique is an important modality that has been shown to be useful in the prognosis, diagnosis, treatment planning, and evaluation of response and recurrence in solid cancers. Diffusion-weighted imaging (DWI) is an imaging technique that quantifies water mobility. This imaging approach is good for identifying sub-voxel microstructure of tissues, correlates with tumor cellularity, and has been proven to be valuable in the early assessment of cytotoxic treatment for a variety of malignancies. Diffusion tensor imaging (DTI) is an MRI method that assesses the preferred amount of water transport inside tissues. This enables precise measurements of water diffusion, which changes according to the direction of white matter fibers, their density, and myelination. This measurement corresponds to some related variables: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD), and others. DTI biomarkers can detect subtle changes in white matter microstructure and integrity following radiation therapy (RT) or chemoradiotherapy, which may have implications for cognitive function and quality of life. In our study, these indices were evaluated after brain chemoradiotherapy.
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Affiliation(s)
- Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Shabnam Banisharif
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Fatemeh Moradi
- Department of Energy Engineering & Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Maryam Zamanian
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Ghazal Tanzifi
- Department of Nuclear Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran
| | - Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Utility of apparent diffusion coefficient histogram analysis in differentiating benign and malignant palate lesions. Eur J Radiol 2022; 157:110566. [DOI: 10.1016/j.ejrad.2022.110566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 11/30/2022]
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Shidoh S, Savjani RR, Cho NS, Ullman HE, Hagiwara A, Raymond C, Lai A, Nghiemphu PL, Liau LM, Pope WB, Cloughesy TF, Kaprealian TB, Salamon N, Ellingson BM. Relapse patterns and radiation dose exposure in IDH wild-type glioblastoma at first radiographic recurrence following chemoradiation. J Neurooncol 2022; 160:115-125. [PMID: 36053452 PMCID: PMC9622513 DOI: 10.1007/s11060-022-04123-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/20/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE To quantify the radiation dose distribution and lesion morphometry (shape) at baseline, prior to chemoradiation, and at the time of radiographic recurrence in patients with glioblastoma (GBM). METHODS The IMRT dose distribution, location of the center of mass, sphericity, and solidity of the contrast enhancing tumor at baseline and the time of tumor recurrence was quantified in 48 IDH wild-type GBM who underwent postoperative IMRT (2 Gy daily for total of 60 Gy) with concomitant and adjuvant temozolomide. RESULTS Average radiation dose within enhancing tumor at baseline and recurrence was ≥ 60 Gy. Centroid location of the enhancing tumor shifted an average of 11.3 mm at the time of recurrence with respect to pre-IMRT location. A positive correlation was observed between change in centroid location and PFS in MGMT methylated patients (P = 0.0007) and Cox multivariate regression confirmed centroid distance from baseline was associated with PFS when accounting for clinical factors (P = 0.0189). Lesion solidity was higher at recurrence compared to baseline (P = 0.0118). Tumors that progressed > 12 weeks after IMRT were significantly more spherical (P = 0.0094). CONCLUSION Most GBMs recur local within therapeutic IMRT doses; however, tumors with longer PFS occurred further from the original tumor location and were more solid and/or nodular.
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Affiliation(s)
- Satoka Shidoh
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Departmet of Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
| | - Ricky R Savjani
- Department of Radiation Oncology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Nicholas S Cho
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA, USA
| | - Henrik E Ullman
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Akifumi Hagiwara
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Albert Lai
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Phionah L Nghiemphu
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Linda M Liau
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Timothy F Cloughesy
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Tania B Kaprealian
- Departmet of Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA.
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
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Cho NS, Hagiwara A, Eldred BSC, Raymond C, Wang C, Sanvito F, Lai A, Nghiemphu P, Salamon N, Steelman L, Hassan I, Cloughesy TF, Ellingson BM. Early volumetric, perfusion, and diffusion MRI changes after mutant isocitrate dehydrogenase (IDH) inhibitor treatment in IDH1-mutant gliomas. Neurooncol Adv 2022; 4:vdac124. [PMID: 36033919 PMCID: PMC9400453 DOI: 10.1093/noajnl/vdac124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Background Inhibition of the isocitrate dehydrogenase (IDH)-mutant enzyme is a novel therapeutic target in IDH-mutant gliomas. Imaging biomarkers of IDH inhibitor treatment efficacy in human IDH-mutant gliomas are largely unknown. This study investigated early volumetric, perfusion, and diffusion MRI changes in IDH1-mutant gliomas during IDH inhibitor treatment. Methods Twenty-nine IDH1-mutant glioma patients who received IDH inhibitor and obtained anatomical, perfusion, and diffusion MRI pretreatment at 3-6 weeks (n = 23) and/or 2-4 months (n = 14) of treatment were retrospectively studied. Normalized relative cerebral blood volume (nrCBV), apparent diffusion coefficient (ADC), and fluid-attenuated inversion recovery (FLAIR) hyperintensity volume were analyzed. Results After 3-6 weeks of treatment, nrCBV was significantly increased (P = .004; mean %change = 24.15%) but not FLAIR volume (P = .23; mean %change = 11.05%) or ADC (P = .52; mean %change = -1.77%). Associations between shorter progression-free survival (PFS) with posttreatment nrCBV > 1.55 (P = .05; median PFS, 240 vs 55 days) and increased FLAIR volume > 4 cm3 (P = .06; 227 vs 29 days) trended toward significance. After 2-4 months, nrCBV, FLAIR volume, and ADC were not significantly different from baseline, but an nrCBV increase > 0% (P = .002; 1121 vs 257 days), posttreatment nrCBV > 1.8 (P = .01; 1121 vs. 270 days), posttreatment ADC < 1.15 μm2/ms (P = .02; 421 vs 215 days), median nrCBV/ADC ratio increase > 0% (P = .02; 1121 vs 270 days), and FLAIR volume change > 4 cm3 (P = .03; 421 vs 226.5 days) were associated with shorter PFS. Conclusions Increased nrCBV at 3-6 weeks of treatment may reflect transient therapeutic and/or tumor growth changes, whereas nrCBV, ADC, and FLAIR volume changes occurring at 2-4 months of treatment may more accurately reflect antitumor response to IDH inhibition.
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Affiliation(s)
- Nicholas S Cho
- Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA,UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, CA, USA,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA,Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Blaine S C Eldred
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Francesco Sanvito
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, USA,Unit of Radiology, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Albert Lai
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Phioanh Nghiemphu
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- Corresponding Author: Benjamin M. Ellingson, PhD, UCLA Brain Tumor Imaging Laboratory (BTIL), Professor of Radiology, Psychiatry, and Neurosurgery, Departments of Radiological Sciences, Psychiatry, and Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024, USA ()
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Duval T, Lotterie JA, Lemarie A, Delmas C, Tensaouti F, Moyal ECJ, Lubrano V. Glioblastoma Stem-like Cell Detection Using Perfusion and Diffusion MRI. Cancers (Basel) 2022; 14:cancers14112803. [PMID: 35681782 PMCID: PMC9179449 DOI: 10.3390/cancers14112803] [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: 04/26/2022] [Revised: 05/21/2022] [Accepted: 05/25/2022] [Indexed: 01/25/2023] Open
Abstract
Simple Summary Glioblastoma stem-like cells (GSCs) are known to be aggressive and radio-resistant and proliferate heterogeneously in preferred environments. Additionally, quantitative diffusion and perfusion MRI biomarkers provide insight into the tissue micro-environment. This study assessed the sensitivity of these imaging biomarkers to GSCs in the hyperintensities-FLAIR region, where relapses may occur. A total of 16 patients underwent an MRI session and biopsies were extracted to study the GSCs. In vivo and in vitro biomarkers were compared and both Apparent Diffusion Coefficient (ADC) and relative Cerebral Blood Volume (rCBV) MRI metrics were found to be good predictors of GSCs presence and aggressiveness. Abstract Purpose: With current gold standard treatment, which associates maximum safe surgery and chemo-radiation, the large majority of glioblastoma patients relapse within a year in the peritumoral non contrast-enhanced region (NCE). A subpopulation of glioblastoma stem-like cells (GSC) are known to be particularly radio-resistant and aggressive, and are thus suspected to be the cause of these relapses. Previous studies have shown that their distribution is heterogeneous in the NCE compartment, but no study exists on the sensitivity of medical imaging for localizing these cells. In this work, we propose to study the magnetic resonance (MR) signature of these infiltrative cells. Methods: In the context of a clinical trial on 16 glioblastoma patients, relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC) were measured in a preoperative diffusion and perfusion MRI examination. During surgery, two biopsies were extracted using image-guidance in the hyperintensities-FLAIR region. GSC subpopulation was quantified within the biopsies and then cultivated in selective conditions to determine their density and aggressiveness. Results: Low ADC was found to be a good predictor of the time to GSC neurospheres formation in vitro. In addition, GSCs were found in higher concentrations in areas with high rCBV. Conclusions: This study confirms that GSCs have a critical role for glioblastoma aggressiveness and supports the idea that peritumoral sites with low ADC or high rCBV should be preferably removed when possible during surgery and targeted by radiotherapy.
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Affiliation(s)
- Tanguy Duval
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, 31000 Toulouse, France; (J.-A.L.); (F.T.); (V.L.)
- Correspondence:
| | - Jean-Albert Lotterie
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, 31000 Toulouse, France; (J.-A.L.); (F.T.); (V.L.)
- Department of Nuclear Medicine, CHU Purpan, 31000 Toulouse, France
| | - Anthony Lemarie
- U1037 Toulouse Cancer Research Center CRCT, INSERM, 31000 Toulouse, France; (A.L.); (E.C.-J.M.)
- Université Paul Sabatier Toulouse III, 31000 Toulouse, France
| | - Caroline Delmas
- Institut Claudius Regaud, IUCT-Oncopole, 31000 Toulouse, France;
| | - Fatima Tensaouti
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, 31000 Toulouse, France; (J.-A.L.); (F.T.); (V.L.)
- Institut Claudius Regaud, IUCT-Oncopole, 31000 Toulouse, France;
| | - Elizabeth Cohen-Jonathan Moyal
- U1037 Toulouse Cancer Research Center CRCT, INSERM, 31000 Toulouse, France; (A.L.); (E.C.-J.M.)
- Université Paul Sabatier Toulouse III, 31000 Toulouse, France
- Institut Claudius Regaud, IUCT-Oncopole, 31000 Toulouse, France;
| | - Vincent Lubrano
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, 31000 Toulouse, France; (J.-A.L.); (F.T.); (V.L.)
- Department of Nuclear Medicine, CHU Purpan, 31000 Toulouse, France
- Service de Neurochirurgie, Clinique de l’Union, 31240 Toulouse, France
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Zhang GL, Wang CF, Qian C, Ji YX, Wang YZ. Role and mechanism of neural stem cells of the subventricular zone in glioblastoma. World J Stem Cells 2021; 13:877-893. [PMID: 34367482 PMCID: PMC8316865 DOI: 10.4252/wjsc.v13.i7.877] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/16/2021] [Accepted: 06/18/2021] [Indexed: 02/06/2023] Open
Abstract
Glioblastoma multiforme (GBM), the most frequently occurring malignant brain tumor in adults, remains mostly untreatable. Because of the heterogeneity of invasive gliomas and drug resistance associated with the tumor microenvironment, the prognosis is poor, and the survival rate of patients is low. Communication between GBMs and non-glioma cells in the tumor microenvironment plays a vital role in tumor growth and recurrence. Emerging data have suggested that neural stem cells (NSCs) in the subventricular zone (SVZ) are the cells-of-origin of gliomas, and SVZ NSC involvement is associated with the progression and recurrence of GBM. This review highlights the interaction between SVZ NSCs and gliomas, summarizes current findings on the crosstalk between gliomas and other non-glioma cells, and describes the links between SVZ NSCs and gliomas. We also discuss the role and mechanism of SVZ NSCs in glioblastoma, as well as the interventions targeting the SVZ and their therapeutic implications in glioblastoma. Taken together, understanding the biological mechanism of glioma-NSC interactions can lead to new therapeutic strategies for GBM.
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Affiliation(s)
- Gui-Long Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, Guangdong Province, China
| | - Chuan-Fang Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, Guangdong Province, China
| | - Cheng Qian
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, Guangdong Province, China
| | - Yun-Xiang Ji
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, Guangdong Province, China
| | - Ye-Zhong Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, Guangdong Province, China
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