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Guidara S, Seyve A, Poncet D, Leonce C, Bringuier PP, McLeer A, Sturm D, Cartalat S, Picart T, Ferrari A, Hench J, Frank S, Meyronet D, Ducray F, Barritault M. Characteristics of H3K27M-mutant diffuse gliomas with a non-midline location. J Neurooncol 2024:10.1007/s11060-024-04733-z. [PMID: 38937309 DOI: 10.1007/s11060-024-04733-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024]
Abstract
PURPOSE Diffuse midline gliomas (DMG) with H3K27 alterations (H3K27M-DMG) are a highly aggressive form of brain cancer. In rare cases, H3K27 mutations have been observed in diffuse non-midline gliomas (DNMG). It is currently unclear how these tumors should be classified. Herein, we analyze the characteristics of DNMG with H3K27M mutations. METHODS We reviewed the clinical, radiological and histological characteristics of all patients with an H3K27M mutated diffuse glioma diagnosed in our institution, between 2016 and 2023, to identify cases with a non-midline location. We then performed a molecular characterization (DNA methylation profiling, whole genome and transcriptome sequencing or targeted sequencing) of patients with an H3K27M-mutant DNMG and reviewed previously reported cases. RESULTS Among 51 patients (18 children and 33 adults) diagnosed with an H3K27M diffuse glioma, we identified two patients (4%) who had a non-midline location. Including our two patients, 39 patients were reported in the literature with an H3K27M-mutant DNMG. Tumors were most frequently located in the temporal lobe (48%), affected adolescents and adults, and were associated with a poor outcome (median overall survival was 10.3 months (0.1-84)). Median age at diagnosis was 19.1 years. Tumors frequently harbored TP53 mutations (74%), ATRX mutations (71%) and PDGFRA mutations or amplifications (44%). In DNA methylation analysis, H3K27M-mutant DNMG clustered within or close to the reference group of H3K27M-mutant DMG. Compared to their midline counterpart, non-midline gliomas with H3K27M mutations seemed more frequently associated with PDGFRA alterations. CONCLUSION DNMG with H3K27M mutations share many similarities with their midline counterpart, suggesting that they correspond to a rare anatomical presentation of these tumors. This is of paramount importance, as they may benefit from new therapeutic approaches such as ONC201.
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Affiliation(s)
- Souhir Guidara
- Department of Medical Genetics, Hedi Chaker Hospital, Sfax, Tunisia.
| | - Antoine Seyve
- Department of Neurooncology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Bron, France
| | - Delphine Poncet
- Department of Pathology, Groupe Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Institut Neuro Myo Gène (INMG), Pathophysiology and Genetics of Neuron and Muscle (PGNM), Université Claude Bernard Lyon 1, CNRS UMR 5261-INSERM U1315, Neuron-Muscle interaction team, Lyon, France
| | - Camille Leonce
- Department of Pathology, Groupe Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Cancer Research Center of Lyon, Lyon, France
| | - Pierre-Paul Bringuier
- Department of Pathology, Groupe Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Anne McLeer
- Service d'Anatomie et Cytologie Pathologiques CHU Grenoble Alpes, Institute for Advanced Biosciences UGA, Université Grenoble Alpes, INSERM U1209/CNRS 5309, Grenoble, France
| | - Dominik Sturm
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Pediatric Glioma Research Group, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology and Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stéphanie Cartalat
- Department of Neurooncology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Bron, France
| | - Thiebaud Picart
- Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Cancer Research Center of Lyon, Lyon, France
- Université Claude Bernard Lyon 1, Villeurbanne, France
- Department of Neurosurgery, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Bron, France
| | - Anthony Ferrari
- Gilles Thomas Bioinformatics Platform, Synergie Lyon Cancer, Cancer Research Center of Lyon, Centre Léon Bérard FR, Lyon, France
| | - Jürgen Hench
- Institute for Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Stephan Frank
- Institute for Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - David Meyronet
- Department of Pathology, Groupe Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Université Claude Bernard Lyon 1, Villeurbanne, France
- Cancer Initiation and Tumoral Cell Identity Department, Cancer Research Centre of Lyon (CRCL) INSERM 1052, CNRS 5286, Lyon, France
| | - François Ducray
- Department of Neurooncology, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Bron, France
- Université Claude Bernard Lyon 1, Villeurbanne, France
- Cancer Initiation and Tumoral Cell Identity Department, Cancer Research Centre of Lyon (CRCL) INSERM 1052, CNRS 5286, Lyon, France
| | - Marc Barritault
- Department of Pathology, Groupe Hospitalier Est, Hospices Civils de Lyon, Bron, France.
- Cancer Initiation and Tumoral Cell Identity Department, Cancer Research Centre of Lyon (CRCL) INSERM 1052, CNRS 5286, Lyon, France.
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Zhao B, Yao J, Wang J, Li J, Shi W, Zhang C, Zhao X, Qiao J, Ma Y, Xu Y, Zheng Z. Usefulness of magnetic resonance imaging characteristics in discriminating H3 K27M-mutant gliomas from wildtype gliomas in spinal cord. Neurol Sci 2024; 45:2845-2851. [PMID: 38228940 DOI: 10.1007/s10072-024-07315-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 01/07/2024] [Indexed: 01/18/2024]
Abstract
AIM The aim of this study was to determine the usefulness of magnetic resonance imaging (MRI) characteristics in discriminating H3 K27M-mutant gliomas from wildtype gliomas in the spinal cord. MATERIALS AND METHODS Fifty-eight patients with spinal cord gliomas were enrolled in this study. The H3 K27 gene status was identified by Sanger sequencing or immunohistochemistry test of resection tumor specimens. The MR imaging characteristics were evaluated and compared between H3 K27M-mutant and wildtype gliomas using the χ2 test and the Mann-Whitney U test. RESULTS Of 58 recruited patients, 23 (39.7%) were diagnosed with H3 K27M-mutant glioma. The H3 K27M-mutant gliomas were found to more likely occur in men compared with wildtype gliomas (87.0% vs. 42.9%, p = 0.001). On T2-weighted MR images, the signal-to-noise ratio (SNR) of H3 K27M-mutant gliomas was significantly lower than that of wildtype gliomas (103.9 ± 72.0 vs. 168.9 ± 86.8, p < 0.001). Of 35 wildtype tumors, 60% showed well-defined margin but this feature was not found in all mutant tumors (p < 0.001). The SNR of tumors on contrast-enhanced T1-weighted images of the H3 K27M-mutant gliomas was significantly lower than that of wildtype gliomas (187.7 ± 160.4 vs. 295.1 ± 207.8, p = 0.006). Receiver operating-characteristic analysis revealed that area under curve (AUC) of combination of 1/SNR on T2-weighted images, 1/SNR on contrast-enhanced T1-weighted images, ill-defined margin, and sex reached 0.937 (95% CI, 0.873-1.000) in discriminating H3 K27M-mutant gliomas. CONCLUSIONS The MR imaging characteristics are valuable in discriminating H3 K27M-mutant from wildtype gliomas in the spinal cord and the combination of these imaging features with sex had a high strength in this discrimination.
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Affiliation(s)
- Benqi Zhao
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Jingjing Yao
- Department of Pathology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Junkai Wang
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Jie Li
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Wei Shi
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Chen Zhang
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Xihai Zhao
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Jian Qiao
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Yongqiang Ma
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Yilan Xu
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China
| | - Zhuozhao Zheng
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, 102218, China.
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Donev K, Sundararajan V, Johnson D, Balan J, Chambers M, Paulson VA, Scherpelz KP, Abdullaev Z, Quezado M, Cimino PJ, Pratt D, Valerio E, Alves de Castro JV, Carraro DM, Torrezan GT, Wolff BM, Kulikowski LD, Costa FD, Aldape K, Ida CM. Diffuse hemispheric glioma with H3 p.K28M (K27M) mutation: Unusual non-midline presentation of diffuse midline glioma, H3 K27M-altered? J Neuropathol Exp Neurol 2024; 83:357-364. [PMID: 38447592 PMCID: PMC11029465 DOI: 10.1093/jnen/nlae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024] Open
Abstract
Diffuse midline glioma, H3 K27-altered (DMG-H3 K27) is an aggressive group of diffuse gliomas that predominantly occurs in pediatric patients, involves midline structures, and displays loss of H3 p.K28me3 (K27me3) expression by immunohistochemistry and characteristic genetic/epigenetic profile. Rare examples of a diffuse glioma with an H3 p.K28M (K27M) mutation and without involvement of the midline structures, so-called "diffuse hemispheric glioma with H3 p.K28M (K27M) mutation" (DHG-H3 K27), have been reported. Herein, we describe 2 additional cases of radiologically confirmed DHG-H3 K27 and summarize previously reported cases. We performed histological, immunohistochemical, molecular, and DNA methylation analysis and provided clinical follow-up in both cases. Overall, DHG-H3 K27 is an unusual group of diffuse gliomas that shows similar clinical, histopathological, genomic, and epigenetic features to DMG-H3 K27 as well as enrichment for activating alterations in MAPK pathway genes. These findings suggest that DHG-H3 K27 is closely related to DMG-H3 K27 and may represent an unusual presentation of DMG-H3 K27 without apparent midline involvement and with frequent MAPK pathway activation. Detailed reports of additional cases with clinical follow-up will be important to expand our understanding of this unusual group of diffuse gliomas and to better define the clinical outcome and how to classify DHG-H3 K27.
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Affiliation(s)
- Kliment Donev
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, Arizona, USA
| | - Vanitha Sundararajan
- OhioHealth Riverside Methodist Hospital, Columbus, Ohio, USA
- CORPath Pathology Services, Columbus, Ohio, USA
| | - Derek Johnson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Jagadheshwar Balan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Meagan Chambers
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Vera A Paulson
- Department of Laboratory Medicine and Pathology, Genetics and Solid Tumor Laboratory, University of Washington, Seattle, Washington, USA
| | - Kathryn P Scherpelz
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Zied Abdullaev
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Martha Quezado
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Patrick J Cimino
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Drew Pratt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Ediel Valerio
- Department of Pathology, A.C. Camargo Cancer Center, Sao Paulo, Brazil
| | | | - Dirce Maria Carraro
- Genomics and Molecular Biology Group, International Center of Research CIPE, A.C. Camargo Cancer Center, Sao Paulo, Brazil
- National Institute of Science and Technology in Oncogenomics (INCITO), Sao Paulo, Brazil
| | - Giovana Tardin Torrezan
- Genomics and Molecular Biology Group, International Center of Research CIPE, A.C. Camargo Cancer Center, Sao Paulo, Brazil
- National Institute of Science and Technology in Oncogenomics (INCITO), Sao Paulo, Brazil
| | - Beatriz Martins Wolff
- Cytogenomic Laboratory, Department of Pathology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Leslie Domenici Kulikowski
- Cytogenomic Laboratory, Department of Pathology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Felipe D’Almeida Costa
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
- Dasa Laboratories, Sao Paulo, Brazil
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Cristiane M Ida
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
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Sugii N, Ninomiya Y, Akimoto Y, Tsurubuchi T, Ishikawa E. H3 K27-altered diffuse midline glioma in adults arising from atypical regions: Two case reports and literature review. Radiol Case Rep 2024; 19:200-206. [PMID: 38028289 PMCID: PMC10651424 DOI: 10.1016/j.radcr.2023.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Diffuse midline glioma (DMG), H3 K27-altered, is a newly defined "pediatric-type," diffuse, high-grade glioma under current WHO classifications (updated in 2021). An essential diagnostic criteria of DMG is its occurrence in the midline structures; most intracranial DMG occurs in the brainstem or thalamus but can also occur in other midline structures. We experienced 2 adult cases of intracranial DMGs in areas other than the brainstem and thalamus that were initially difficult to diagnose. Case 1 was a 49-year-old man with extensive T2 high-signal lesions in the bilateral frontal lobes and corpus callosum on brain MRI. A Gd-based contrast medium partially enhanced the lesion and showed marked diffusion restriction, mimicking malignant lymphoma. Case 2 was a 24-year-old man who presented with paroxysmal olfactory abnormalities. The tumor extended mainly to the right temporal lobe, the right basal forebrain, and the bilateral hypothalamus, showing a T2/FLAIR mismatch sign suggestive of IDH-mutant astrocytoma without 1p/19q co-deletion. After a biopsy, both cases were properly diagnosed as DMG, H3 K27-altered (K27M-mutant). Diagnosing adult cases involving atypical midline structures is sometimes challenging before surgery; we discuss this phenomenon with both case details and a literature review.
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Affiliation(s)
- Narushi Sugii
- Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575 Japan
| | - Yuki Ninomiya
- Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575 Japan
| | - Yu Akimoto
- Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575 Japan
| | - Takao Tsurubuchi
- Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575 Japan
| | - Eiichi Ishikawa
- Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575 Japan
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Li J, Wang Y, Weng J, Qu L, Wu M, Guo M, Sun J, Hu G, Gong X, Liu X, Duan Y, Zhuo Z, Jia W, Liu Y. Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR Images. AJNR Am J Neuroradiol 2023; 44:1464-1470. [PMID: 38081676 PMCID: PMC10714849 DOI: 10.3174/ajnr.a8056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 10/08/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND AND PURPOSE Conventional MR imaging is not sufficient to discern the H3 K27-altered status of spinal cord diffuse midline glioma. This study aimed to develop a radiomics-based model based on preoperative T2WI to determine the H3 K27-altered status of spinal cord diffuse midline glioma. MATERIALS AND METHODS Ninety-seven patients with confirmed spinal cord diffuse midline gliomas were retrospectively recruited and randomly assigned to the training (n = 67) and test (n = 30) sets. One hundred seven radiomics features were initially extracted from automatically-segmented tumors on T2WI, then 11 features selected by the Pearson correlation coefficient and the Kruskal-Wallis test were used to train and test a logistic regression model for predicting the H3 K27-altered status. Sensitivity analysis was performed using additional random splits of the training and test sets, as well as applying other classifiers for comparison. The performance of the model was evaluated through its accuracy, sensitivity, specificity, and area under the curve. Finally, a prospective set including 28 patients with spinal cord diffuse midline gliomas was used to validate the logistic regression model independently. RESULTS The logistic regression model accurately predicted the H3 K27-altered status with accuracies of 0.833 and 0.786, sensitivities of 0.813 and 0.750, specificities of 0.857 and 0.833, and areas under the curve of 0.839 and 0.818 in the test and prospective sets, respectively. Sensitivity analysis confirmed the robustness of the model, with predictive accuracies of 0.767-0.833. CONCLUSIONS Radiomics signatures based on preoperative T2WI could accurately predict the H3 K27-altered status of spinal cord diffuse midline glioma, providing potential benefits for clinical management.
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Affiliation(s)
- Junjie Li
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - YongZhi Wang
- Department of Neurosurgery (Y.W., W.J.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jinyuan Weng
- Department of Medical Imaging Products (J.W., X.G.), Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Liying Qu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Minghao Wu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Min Guo
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jun Sun
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Geli Hu
- Clinical and Technical Support (G.H.), Philips Healthcare, Beijing, People's Republic of China
| | - Xiaodong Gong
- Department of Medical Imaging Products (J.W., X.G.), Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Xing Liu
- Department of Pathology (X.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yunyun Duan
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Zhizheng Zhuo
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenqing Jia
- Department of Neurosurgery (Y.W., W.J.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yaou Liu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
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Mendes Serrão E, Klug M, Moloney BM, Jhaveri A, Lo Gullo R, Pinker K, Luker G, Haider MA, Shinagare AB, Liu X. Current Status of Cancer Genomics and Imaging Phenotypes: What Radiologists Need to Know. Radiol Imaging Cancer 2023; 5:e220153. [PMID: 37921555 DOI: 10.1148/rycan.220153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Ongoing discoveries in cancer genomics and epigenomics have revolutionized clinical oncology and precision health care. This knowledge provides unprecedented insights into tumor biology and heterogeneity within a single tumor, among primary and metastatic lesions, and among patients with the same histologic type of cancer. Large-scale genomic sequencing studies also sparked the development of new tumor classifications, biomarkers, and targeted therapies. Because of the central role of imaging in cancer diagnosis and therapy, radiologists need to be familiar with the basic concepts of genomics, which are now becoming the new norm in oncologic clinical practice. By incorporating these concepts into clinical practice, radiologists can make their imaging interpretations more meaningful and specific, facilitate multidisciplinary clinical dialogue and interventions, and provide better patient-centric care. This review article highlights basic concepts of genomics and epigenomics, reviews the most common genetic alterations in cancer, and discusses the implications of these concepts on imaging by organ system in a case-based manner. This information will help stimulate new innovations in imaging research, accelerate the development and validation of new imaging biomarkers, and motivate efforts to bring new molecular and functional imaging methods to clinical radiology. Keywords: Oncology, Cancer Genomics, Epignomics, Radiogenomics, Imaging Markers Supplemental material is available for this article. © RSNA, 2023.
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Affiliation(s)
- Eva Mendes Serrão
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Maximiliano Klug
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Brian M Moloney
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Aaditeya Jhaveri
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Roberto Lo Gullo
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Katja Pinker
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Gary Luker
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Masoom A Haider
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Atul B Shinagare
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
| | - Xiaoyang Liu
- From the Joint Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, University of Toronto, 585 University Ave, Toronto, ON, Canada M5G 2N2 (E.M.S., A.J., M.A.H., X.L.); Division of Diagnostic Imaging, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel (M.K.); Department of Radiology, The Christie NHS Trust, Manchester, England (B.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, New York, NY (R.L.G., K.P.); Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, Mich (G.L.); Lunenfeld Tanenbaum Research Institute, Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada (M.A.H.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.B.S.)
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Huang B, Chen T, Zhang Y, Mao Q, Ju Y, Liu Y, Wang X, Li Q, Lei Y, Ren Y. Deep Learning for the Prediction of the Survival of Midline Diffuse Glioma with an H3K27M Alteration. Brain Sci 2023; 13:1483. [PMID: 37891850 PMCID: PMC10605651 DOI: 10.3390/brainsci13101483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/04/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND The prognosis of diffuse midline glioma (DMG) patients with H3K27M (H3K27M-DMG) alterations is poor; however, a model that encourages accurate prediction of prognosis for such lesions on an individual basis remains elusive. We aimed to construct an H3K27M-DMG survival model based on DeepSurv to predict patient prognosis. METHODS Patients recruited from a single center were used for model training, and patients recruited from another center were used for external validation. Univariate and multivariate Cox regression analyses were used to select features. Four machine learning models were constructed, and the consistency index (C-index) and integrated Brier score (IBS) were calculated. We used the receiver operating characteristic curve (ROC) and area under the receiver operating characteristic (AUC) curve to assess the accuracy of predicting 6-month, 12-month, 18-month and 24-month survival rates. A heatmap of feature importance was used to explain the results of the four models. RESULTS We recruited 113 patients in the training set and 23 patients in the test set. We included tumor size, tumor location, Karnofsky Performance Scale (KPS) score, enhancement, radiotherapy, and chemotherapy for model training. The accuracy of DeepSurv prediction is highest among the four models, with C-indexes of 0.862 and 0.811 in the training and external test sets, respectively. The DeepSurv model had the highest AUC values at 6 months, 12 months, 18 months and 24 months, which were 0.970 (0.919-1), 0.950 (0.877-1), 0.939 (0.845-1), and 0.875 (0.690-1), respectively. We designed an interactive interface to more intuitively display the survival probability prediction results provided by the DeepSurv model. CONCLUSION The DeepSurv model outperforms traditional machine learning models in terms of prediction accuracy and robustness, and it can also provide personalized treatment recommendations for patients. The DeepSurv model may provide decision-making assistance for patients in formulating treatment plans in the future.
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Affiliation(s)
- Bowen Huang
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Tengyun Chen
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Yuekang Zhang
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Qing Mao
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Yan Ju
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Yanhui Liu
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Xiang Wang
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Qiang Li
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
| | - Yinjie Lei
- College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;
| | - Yanming Ren
- Department of Neurosurgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, China; (B.H.); (T.C.); (Y.Z.); (Q.M.); (Y.J.); (Y.L.); (X.W.); (Q.L.)
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8
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Lv K, Chen H, Cao X, Du P, Chen J, Liu X, Zhu L, Geng D, Zhang J. Development and validation of a machine learning algorithm for predicting diffuse midline glioma, H3 K27-altered, H3 K27 wild-type high-grade glioma, and primary CNS lymphoma of the brain midline in adults. J Neurosurg 2023; 139:393-401. [PMID: 36681946 DOI: 10.3171/2022.11.jns221544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Preoperative diagnosis of diffuse midline glioma, H3 K27-altered (DMG-A) and midline high-grade glioma without H3 K27 alteration (DMG-W), as well as midline primary CNS lymphoma (PCNSL) in adults, is challenging but crucial. The aim of this study was to develop a model for predicting these three entities using machine learning (ML) algorithms. METHODS Thirty-three patients with DMG-A, 35 with DMG-W, and 35 with midline PCNSL were retrospectively enrolled in the study. Radiomics features were extracted from contrast-enhanced T1-weighted MR images. Two radiologists evaluated the conventional MRI features of the tumors, such as shape. Patient age, tumor volume, and conventional MRI features were considered clinical features. The data set was randomly stratified into 70% training and 30% testing cohorts. Predictive models based on the clinical features, radiomics features, and integration of clinical and radiomics features were established through ML. The performances of the models were evaluated by calculating the area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity. Subsequently, 10 patients with DMG-A, 10 with DMG-W, and 12 with PCNSL were enrolled from another institution to validate the established models. RESULTS The predictive models based on clinical features, radiomics features, and the integration of clinical and radiomics features through the support vector machine algorithm had the optimal accuracies in the training, testing, and validation cohorts, and the accuracies in the testing cohort were 0.871, 0.892, and 0.903, respectively. Age, 2 radiomics features, and 3 conventional MRI features were the 6 most significant features in the established integrated model. CONCLUSIONS The integrated prediction model established by ML provides high discriminatory accuracy for predicting DMG-A, DMG-W, and midline PCNSL in adults.
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Affiliation(s)
- Kun Lv
- Departments of1Radiology and
| | - Hongyi Chen
- 2Academy for Engineering and Technology, Fudan University, Shanghai
| | - Xin Cao
- Departments of1Radiology and
| | - Peng Du
- Departments of1Radiology and
| | - Jiawei Chen
- 3Neurosurgery, Huashan Hospital, Fudan University, Shanghai
| | - Xiao Liu
- 4School of Computer and Information Technology, Beijing Jiaotong University, Beijing; and
| | - Li Zhu
- 5Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Daoying Geng
- Departments of1Radiology and
- 2Academy for Engineering and Technology, Fudan University, Shanghai
| | - Jun Zhang
- Departments of1Radiology and
- 2Academy for Engineering and Technology, Fudan University, Shanghai
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Chen X, Li Y, Bu H, Zou Y, He J, Liu H. Adult spinal cord diffuse midline glioma, H3 K27-altered mimics symptoms of central nervous system infection: a case report. Front Neurol 2023; 14:1097157. [PMID: 37396765 PMCID: PMC10310954 DOI: 10.3389/fneur.2023.1097157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 05/22/2023] [Indexed: 07/04/2023] Open
Abstract
Diffuse midline gliomas, H3 K27-altered are infiltrative growth gliomas with histone H3K27M mutations. This glioma is more common in the pediatric population, and the prognosis is usually poor. We report a case of diffuse midline gliomas, H3 K27-altered in an adult patient that mimicked symptoms of central nervous system infection. The patient was admitted due to double vision for 2 months and paroxysmal unconsciousness for 6 days. Initially, lumbar puncture showed persistent high intracranial pressure, high protein, and low chlorine. Magnetic resonance imaging showed diffuse thickening and enhancement of meninges and spinal meninges, and later, fever occurred. The initial diagnosis was meningitis. We suspected central nervous system infection, so we started anti-infection treatment, but the treatment was ineffective. The patient's condition gradually worsened, with lower limb weakness and even the consciousness became unclear. A repeat magnetic resonance imaging and positron emission tomography-computed tomography scan showed space-occupying lesions in the spinal cord, which was considered a tumor. Following neurosurgery, pathological tests identified the tumor as diffuse midline gliomas, H3 K27-altered. The patient was recommended for radiotherapy and temozolomide chemotherapy. The patient's condition improved after chemotherapy treatment, and he survived for an additional 6 months. Our case shows that diagnosing diffuse midline gliomas, H3 K27-altered in the central nervous system is complex and can be confused with the clinical characteristics of central nervous system infection. Therefore, clinicians should pay attention to such diseases to avoid misdiagnosis.
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10
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Valentino WL, Okada D, Bhanu S. A curious case of T2-FLAIR mismatch in H3K27M mutant glioma. Radiol Case Rep 2022; 17:2930-2935. [PMID: 35755103 PMCID: PMC9218295 DOI: 10.1016/j.radcr.2022.05.017] [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: 04/10/2022] [Revised: 05/04/2022] [Accepted: 05/11/2022] [Indexed: 11/19/2022] Open
Abstract
Diffuse midline gliomas are a rare relatively new classification of primary central nervous system tumors which include astrocytomas, oligodendrogliomas, and glioblastomas. The T2-FLAIR mismatch sign is regarded as a highly specific imaging feature of IDH-mutant, 1p/19q non-codeleted astrocytomas. The case presented herein demonstrates this sign, however, in a non-IDH mutated diffuse midline glioma with a H3K27M mutation, a World Health Organization Grade IV neoplasm. Although preoperative diagnosis can provide important treatment and prognostic information, it is often quite difficult particularly in primary central nervous system tumors.
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Affiliation(s)
- William L. Valentino
- Riverside Community Hospital, 4445 Magnolia Avenue, Riverside, CA, 92501 USA
- HCA Healthcare, Nashville, TN, USA
- Corresponding author.
| | - Darren Okada
- Riverside Community Hospital, 4445 Magnolia Avenue, Riverside, CA, 92501 USA
- HCA Healthcare, Nashville, TN, USA
| | - Shiv Bhanu
- Riverside Community Hospital, 4445 Magnolia Avenue, Riverside, CA, 92501 USA
- HCA Healthcare, Nashville, TN, USA
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11
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Yoo J, Yoon SJ, Kim KH, Jung IH, Lim SH, Kim W, Yoon HI, Kim SH, Sung KS, Roh TH, Moon JH, Park HH, Kim EH, Suh CO, Kang SG, Chang JH. Patterns of recurrence according to the extent of resection in patients with IDH-wild-type glioblastoma: a retrospective study. J Neurosurg 2022; 137:533-543. [PMID: 34972087 DOI: 10.3171/2021.10.jns211491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/06/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In glioblastoma (GBM) patients, controlling the microenvironment around the tumor using various treatment modalities, including surgical intervention, is essential in determining the outcome of treatment. This study was conducted to elucidate whether recurrence patterns differ according to the extent of resection (EOR) and whether this difference affects prognosis. METHODS This single-center study included 358 eligible patients with histologically confirmed isocitrate dehydrogenase (IDH)-wild-type GBM from November 1, 2005, to December 31, 2018. Patients were assigned to one of three separate groups according to EOR: supratotal resection (SupTR), gross-total resection (GTR), and subtotal resection (STR) groups. The patterns of recurrence were classified as local, marginal, and distant based on the range of radiation. The relationship between EOR and recurrence pattern was statistically analyzed. RESULTS Observed tumor recurrence rates for each group were as follows: SupTR group, 63.4%; GTR group, 75.3%; and STR group, 80.5% (p = 0.072). Statistically significant differences in patterns of recurrences among groups were observed with respect to local recurrence (SupTR, 57.7%; GTR, 76.0%; STR, 82.8%; p = 0.036) and distant recurrence (SupTR, 50.0%; GTR, 30.1%; STR, 23.2%; p = 0.028). Marginal recurrence showed no statistical difference between groups. Both overall survival and progression-free survival were significantly increased in the SupTR group compared with the STR and GTR groups (p < 0.0001). CONCLUSIONS In this study, the authors investigated the association between EOR and patterns of recurrence in patients with IDH-wild-type GBM. The findings not only show that recurrence patterns differ according to EOR but also provide clinical evidence supporting the hypothesized mechanism by which distant recurrence occurs.
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Affiliation(s)
- Jihwan Yoo
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
- 2Yonsei University College of Medicine
- 3Department of Neurosurgery, Brain Tumor Center, Gangnam Severance Hospital, Yonsei University College of Medicine
| | - Seon-Jin Yoon
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
- 4Department of Biochemistry and Molecular Biology, Yonsei University College of Medicine
| | - Kyung Hwan Kim
- 5Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Yonsei University College of Medicine
| | - In-Ho Jung
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
| | - Seung Hoon Lim
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
| | - Woohyun Kim
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
| | - Hong In Yoon
- 5Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Yonsei University College of Medicine
| | - Se Hoon Kim
- 6Department of Pathology, Yonsei University College of Medicine, Seoul
| | - Kyoung Su Sung
- 7Department of Neurosurgery, Dong-A University College of Medicine, Busan
| | - Tae Hoon Roh
- 8Department of Neurosurgery, Ajou University School of Medicine, Suwon
| | - Ju Hyung Moon
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
| | - Hun Ho Park
- 3Department of Neurosurgery, Brain Tumor Center, Gangnam Severance Hospital, Yonsei University College of Medicine
| | - Eui Hyun Kim
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
| | - Chang-Ok Suh
- 9Department of Radiation Oncology, CHA Bundang Medical Center, CHA University College of Medicine, Bundang; and
| | - Seok-Gu Kang
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
- 10Department of Medical Science, Yonsei University Graduate School, Seoul, Republic of Korea
| | - Jong Hee Chang
- 1Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine
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Adult diffuse midline gliomas H3 K27-altered: review of a redefined entity. J Neurooncol 2022; 158:369-378. [PMID: 35567713 DOI: 10.1007/s11060-022-04024-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/23/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Diffuse midline glioma (DMG) H3 K27-altered is a type of high-grade gliomas first recognized as a new entity in the 2016 World Health Organization Classification of Central Nervous System (CNS) Tumors as DMG H3 K27M-mutant, recently renamed in the new 2021 WHO classification. The aim of this review is to describe the characteristics of diffuse midline gliomas H3 K27-altered in the adult population. METHODS We performed a review of the current literature regarding the genetic, clinical, imaging characteristics and management of diffuse midline gliomas H3 K27-altered in adult patients. RESULTS The 2021 WHO classification now designates the previously recognized DMG H3K27M-mutant as DMG H3 K27-altered, recognizing the alternative mechanisms by which the pathogenic pathway can be altered. Thus, the diagnostic criteria for this entity consist of diffuse growth pattern, midline anatomic location, and H3 K27-specific neuroglial mutations. DMGs' characteristic midline location makes them difficult to surgically resect and biopsy, carrying high mortality and morbidity rates, with median survival ranging from 9 to 12 months in adult patients. CONCLUSION The diagnosis of DMGs H3 K27-altered in adult patients should be considered upon neurological symptoms associated with an infiltrative midline brain tumor detected on imaging. Future studies are necessary to continue refining their characteristics in this age group.
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Guo W, She D, Xing Z, Lin X, Wang F, Song Y, Cao D. Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques. Front Oncol 2022; 12:796583. [PMID: 35311083 PMCID: PMC8928064 DOI: 10.3389/fonc.2022.796583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives The performance of multiparametric MRI-based radiomics models for predicting H3 K27M mutant status in diffuse midline glioma (DMG) has not been thoroughly evaluated. The optimal combination of multiparametric MRI and machine learning techniques remains undetermined. We compared the performance of various radiomics models across different MRI sequences and different machine learning techniques. Methods A total of 102 patients with pathologically confirmed DMG were retrospectively enrolled (27 with H3 K27M-mutant and 75 with H3 K27M wild-type). Radiomics features were extracted from eight sequences, and 18 feature sets were conducted by independent combination. There were three feature matrix normalization algorithms, two dimensionality-reduction methods, four feature selectors, and seven classifiers, consisting of 168 machine learning pipelines. Radiomics models were established across different feature sets and machine learning pipelines. The performance of models was evaluated using receiver operating characteristic curves with area under the curve (AUC) and compared with DeLong’s test. Results The multiparametric MRI-based radiomics models could accurately predict the H3 K27M mutant status in DMG (highest AUC: 0.807–0.969, for different sequences or sequence combinations). However, the results varied significantly between different machine learning techniques. When suitable machine learning techniques were used, the conventional MRI-based radiomics models shared similar performance to advanced MRI-based models (highest AUC: 0.875–0.915 vs. 0.807–0.926; DeLong’s test, p > 0.05). Most models had a better performance when generated with a combination of MRI sequences. The optimal model in the present study used a combination of all sequences (AUC = 0.969). Conclusions The multiparametric MRI-based radiomics models could be useful for predicting H3 K27M mutant status in DMG, but the performance varied across different sequences and machine learning techniques.
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Affiliation(s)
- Wei Guo
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Dejun She
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zhen Xing
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Xiang Lin
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Feng Wang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Yang Song
- MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.,Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Differences in the MRI Signature and ADC Values of Diffuse Midline Gliomas with H3 K27M Mutation Compared to Midline Glioblastomas. Cancers (Basel) 2022; 14:cancers14061397. [PMID: 35326549 PMCID: PMC8946584 DOI: 10.3390/cancers14061397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/26/2022] [Accepted: 03/06/2022] [Indexed: 12/21/2022] Open
Abstract
We conducted a two-center retrospective survey on standard MRI features including apparent diffusion coefficient mapping (ADC) of diffuse midline gliomas H3 K27M-mutant (DMG) compared to midline glioblastomas H3 K27M-wildtype (midGBM-H3wt). We identified 39 intracranial DMG and 18 midGBM-H3wt tumors. Samples were microscopically re-evaluated for microvascular proliferations and necrosis. Image analysis focused on location, peritumoral edema, degree of contrast enhancement and DWI features. Within DMG, MRI features between tumors with or without histomorphological GBM features were compared. DMG occurred in 15/39 samples from the thalamus (38%), in 23/39 samples from the brainstem (59%) and in 1/39 tumors involving primarily the cerebellum (2%). Edema was present in 3/39 DMG cases (8%) versus 78% in the control (midGBM-H3wt) group (p < 0.001). Contrast enhancement at the tumor rim was detected in 17/39 DMG (44%) versus 67% in control (p = 0.155), and necrosis in 24/39 (62%) versus 89% in control (p = 0.060). Strong contrast enhancement was observed in 15/39 DMG (38%) versus 56% in control (p = 0.262). Apparent diffusion coefficient (ADC) histogram analysis showed significantly higher skewness and kurtosis values in the DMG group compared to the controls (p = 0.0016/p = 0.002). Minimum relative ADC (rADC) values, as well as the 10th and 25th rADC-percentiles, were lower in DMGs with GBM features within the DMG group (p < 0.001/p = 0.012/p = 0.027). In conclusion, DMG cases exhibited markedly less edema than midGBM-H3wt, even if histomorphological malignancy was present. Histologically malignant DMGs and midGBM-H3wt more often displayed strong enhancement, as well as rim enhancement, than DMGs without histomorphological malignancy. DMGs showed higher skewness and kurtosis values on ADC-histogram analysis compared to midGBM-H3wt. Lower minimum rADC values in DMGs indicated malignant histomorphological features, likely representing a more complex tissue microstructure.
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Wu C, Zheng H, Li J, Zhang Y, Duan S, Li Y, Wang D. MRI-based radiomics signature and clinical factor for predicting H3K27M mutation in pediatric high-grade gliomas located in the midline of the brain. Eur Radiol 2022; 32:1813-1822. [PMID: 34655310 DOI: 10.1007/s00330-021-08234-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/11/2021] [Accepted: 07/26/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To develop a nomogram based on MRI radiomics and clinical features for preoperatively predicting H3K27M mutation in pediatric high-grade gliomas (pHGGs) with a midline location of the brain. METHODS The institutional database was reviewed to identify patients with pHGGs with a midline location of the brain who underwent tumor biopsy with preoperative MRI scans between June 2016 and June 2021. A total of 107 patients with pHGGs, including 79 patients with H3K27M mutation, were consecutively included and randomly divided into training and test sets. Radiomics features were extracted from fluid-attenuated inversion recovery (FLAIR), diffusion-weighted (DW) and post-contrast T1-weighted images, and apparent diffusion coefficient (ADC) maps. The minimum redundancy maximum relevance (MRMR) and least absolute shrinkage and selection operator (LASSO) logistic regression were performed for radiomics signature construction. Clinical and radiological features were analyzed to select clinical predictors. A nomogram was then developed by incorporating the radiomics signature and selected clinical predictors. RESULTS Nine radiomics features were selected to construct the radiomics signature, which showed a favorable discriminatory ability in training and test sets with an area under the curve (AUC) of 0.95 and 0.92, respectively. Ring enhancement was identified as an independent clinical predictor (p < 0.01). The nomogram, constructed with radiomics signature and ring enhancement, showed good calibration and discrimination in training and testing sets (AUC: 0.95 and 0.90 respectively). CONCLUSIONS The nomogram which combined radiomics signature and ring enhancement had a satisfactory ability to predict H3K27M mutation in pHGGs with a midline of the brain. KEY POINTS • Conventional MRI features were not powerful enough to predict H3K27M mutation status in pediatric high-grade gliomas (pHGGs) with a midline location of the brain. • An MRI-based radiomics signature showed satisfactory ability to predict H3K27M mutation status of pHGGs located in the midline of the brain. • Associating the radiomics signature with clinical factors improved predictive performance.
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Affiliation(s)
- Chenqing Wu
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Hui Zheng
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Jinning Li
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Yuzhen Zhang
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Shaofeng Duan
- GE Healthcare, Pudong New Town, No.1 Huatuo Road, Shanghai, 210000, China
| | - Yuhua Li
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Dengbin Wang
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
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Cheng L, Wang L, Yao Q, Ma L, Duan W, Guan J, Zhang C, Wang K, Liu Z, Wang X, Wang Z, Wu H, Chen Z, Jian F. Clinicoradiological characteristics of primary spinal cord H3 K27M-mutant diffuse midline glioma. J Neurosurg Spine 2022; 36:303-314. [PMID: 34560639 DOI: 10.3171/2021.4.spine2140] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/12/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Primary spinal cord H3 K27M-mutant diffuse midline glioma (DMG) is a rare and devastating pathological entity. However, little attention has been paid to this disease. As a result, its clinicoradiological characteristics have yet to be described. The aim of this study was to describe the clinicoradiological characteristics of primary intramedullary H3 K27M-mutant DMG and to compare this tumor with the H3 K27 wild-type to explore potential features that could differentiate the two. METHODS A total of 59 patients with pathologically confirmed intramedullary astrocytoma were included in this study. The cohort was divided into an H3 K27M-mutant group and H3 K27 wild-type group based on the status of H3 K27M according to an immunohistochemistry method. Demographic data, MRI features, and molecular information were collected. Multivariate logistic regression was conducted to investigate variables that might have a role in differentiating an H3 K27M DMG from an H3 K27 wild-type tumor. RESULTS Only symptom duration showed an independent association with the H3 K27M mutation (OR 0.82, 95% CI 0.68-0.94, p = 0.016). Patients with spinal cord H3 K27M-mutant DMG had a shorter symptom duration than patients with H3 K27 wild-type glioma. No significant difference was found in terms of MRI features between the H3 K27M-mutant and H3 K27 wild-type groups. Additionally, H3 K27M-mutant DMG frequently demonstrated overexpression of p53. Survival outcome did not show a statistical difference between the H3 K27-mutant subgroup and H3 K27 wild-type subgroup in histologically high-grade astrocytoma. CONCLUSIONS Symptom duration was associated with an H3 K27M mutation in intramedullary astrocytoma. MRI features were heterogeneous, and no imaging feature was able to predict the H3 K27M mutation. The H3 K27M mutation did not impact survival outcome in spinal histologically high-grade astrocytoma.
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Affiliation(s)
- Lei Cheng
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Leiming Wang
- 2Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qingyu Yao
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Longbing Ma
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Wanru Duan
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Jian Guan
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Can Zhang
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Kai Wang
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Zhenlei Liu
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Xingwen Wang
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Zuowei Wang
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Hao Wu
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Zan Chen
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
| | - Fengzeng Jian
- 1Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing; and
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17
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Yabuno S, Kawauchi S, Umakoshi M, Uneda A, Fujii K, Ishida J, Otani Y, Hattori Y, Tsuboi N, Kohno S, Noujima M, Toji T, Yanai H, Yasuhara T, Date I. Spinal Cord Diffuse Midline Glioma, H3K27M- mutant Effectively Treated with Bevacizumab: A Report of Two Cases. NMC Case Rep J 2022; 8:505-511. [PMID: 35079510 PMCID: PMC8769434 DOI: 10.2176/nmccrj.cr.2021-0033] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/01/2021] [Indexed: 11/23/2022] Open
Abstract
“Diffuse midline glioma (DMG), H3K27M-mutant” was newly classified in the revised World Health Organization (WHO) 2016 classification of central nervous system tumors. Spinal cord DMG, H3K27M-mutant is relatively rare, with poor prognosis, and there are no effective treatment protocols. In this study, we report two cases of spinal cord DMG, H3K27M-mutant treated with bevacizumab. The two patients were women in their 40s who initially presented with sensory impairment. MRI showed spinal intramedullary tumors, and each patient underwent laminectomy/laminoplasty and biopsy of the tumors. Histological examination initially suggested low-grade astrocytoma in case 1 and glioblastoma in case 2. Upon further immunohistochemical examination in case 1 and molecular examination in case 2, however, both cases were diagnosed as DMG, H3K27M-mutant. Case 1 was treated with radiation therapy and temozolomide (TMZ) chemotherapy, which induced a transient improvement of symptoms; 3 months after surgery, however, the patient’s symptoms rapidly deteriorated. MRI showed tumor enlargement with edema to the medulla. Triweekly administration of bevacizumab improved her symptoms for the following 12 months. Case 2 was treated with bevacizumab from the beginning because of acute deterioration of breathing. After bevacizumab administration, both cases showed tumor regression on MRI and drastic improvement of symptoms within a few days. Although spinal cord DMG, H3K27M-mutant has an aggressive clinical course and poor prognosis, bevacizumab administration may offer the significant clinical benefit of alleviating edema, which improves patient’s capacity for activities of daily life.
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Affiliation(s)
- Satoru Yabuno
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Satoshi Kawauchi
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Michiari Umakoshi
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Atsuhito Uneda
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Kentaro Fujii
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Joji Ishida
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Yoshihiro Otani
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Yasuhiko Hattori
- Department of Neurological Surgery, Sumitomo Besshi Hospital, Niihama, Ehime, Japan
| | - Nobushige Tsuboi
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Shohei Kohno
- Department of Neurosurgery, Japanese Red Cross Society Himeji Hospital, Himeji, Hyogo, Japan
| | - Mai Noujima
- Department of Diagnostic Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Tomohiro Toji
- Department of Diagnostic Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Hiroyuki Yanai
- Department of Diagnostic Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Takao Yasuhara
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Isao Date
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Okayama, Japan
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18
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Gu Q, Huang Y, Zhang H, Jiang B. Case Report: Five Adult Cases of H3K27-Altered Diffuse Midline Glioma in the Spinal Cord. Front Oncol 2021; 11:701113. [PMID: 34956856 PMCID: PMC8694136 DOI: 10.3389/fonc.2021.701113] [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: 11/15/2021] [Indexed: 11/13/2022] Open
Abstract
BackgroundDiffuse midline glioma with H3K27-altered (DMG-H3K27a) is a novel tumor entity of the pediatric-type diffuse high-grade tumor in the latest WHO CNS 5. It mostly affects children and is only rarely found in adults. The tumor has a high level of aggressiveness, with a rapid progression and bad prognosis. In adults, the spinal cord is the most common site of DMG-H3K27a. Rare adult cases of primary DMG-H3K27a in the spinal cord were reported in this study, together with clinico-histopathologico-radiographic data.MethodsFrom January 2016 to December 2020, we conducted a retrospective study of five adults with primary DMG-H3K27a in the spinal cord, analyzing their clinical, pathohistological, and radiographic datasets from the first diagnosis to follow-up.ResultsAll five patients were diagnosed for the first time and were given full treatment. In three of the five patients, post-operative follow-up revealed tumor recurrence. The longest survival of the five patients was 45 months at the time of report submission, while the longest progression-free survival (PFS) following surgery was 20 months. Immunohistochemical studies showed the tumors featured aggressive behavior (grade 4) and were positive for the H3K27M mutation. The radiographic appearances were varied, but they were all initially mistaken as benign. DMG-H3K27a in the spinal cord was characterized by isointense/hyperintense on T1WI and isointense/hyperintense on T2WI, as well as cystic necrosis and peripheral spinal cord edema, as well as central canal enlargement and other types of enhancement.ConclusionThis is the first case report focusing on adult DMG-H3K27a of the pediatric-type diffuses high-grade gliomas in the spinal cord. In our cases, we discovered the following: 1) adults had a better prognosis with a longer PFS compared with prior pediatric reports; 2) despite aggressive behavior under the microscope, radiographic appearances of the tumors were less aggressive; and 3) adjuvant treatment, including TCM, may have played a role in the prognosis.
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Affiliation(s)
- Quanquan Gu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yajing Huang
- Department of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hao Zhang
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Biao Jiang
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Biao Jiang,
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19
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Einstein EH, Bonda D, Hosseini H, Harel A, Palmer JD, Giglio P, Barve R, Gould M, Lonser RR, D'Amico RS. Large Adult Spinal Diffuse Midline Histone H3 Lysine27-to-Methionine-Mutant Glioma With Intramedullary and Extramedullary Components Presenting With Progressive Hydrocephalus: A Case Report Highlighting Unique Imaging Findings and Treatment. Cureus 2021; 13:e15333. [PMID: 34235012 PMCID: PMC8240764 DOI: 10.7759/cureus.15333] [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] [Accepted: 05/30/2021] [Indexed: 11/26/2022] Open
Abstract
Diffuse midline glioma with histone H3 lysine27-to-methionine mutation (H3 K27M mutation) is a rare, aggressive tumor that is designated as World Health Organization (WHO) grade IV regardless of histologic features. Preoperative diagnosis remains challenging due to limited evidence regarding distinctive clinical and imaging characteristics. We describe the case of a young woman who presented with progressively worsening headaches due to communicating hydrocephalus. MR imaging with contrast of the cervical and thoracic spine revealed diffuse leptomeningeal enhancement with focal areas of intramedullary and subarachnoid T2 hyperintensity and enhancement, suggestive of a potential infectious process. Intraoperatively, no epidural pathology was identified, and with the differential diagnosis remaining broad, a second procedure was conducted involving intradural exploration and biopsy of a lesion. This was then identified as a diffuse midline glioma with H3 K27M mutation. The nonfocal clinical presentation in the setting of communicating hydrocephalus as well as the significant exophytic tumor growth and imaging findings made the initial diagnosis unique and challenging. This case, therefore, emphasizes the rare presentation of this tumor, and the need for further understanding of the clinical and imaging characteristics of this disease as well as the need for effective therapeutics.
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Affiliation(s)
- Evan H Einstein
- Neurosurgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - David Bonda
- Neurosurgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - Hossein Hosseini
- Pathology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - Asaff Harel
- Neurology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - Joshua D Palmer
- Radiation Oncology, The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, USA, Columbus, USA
| | - Pierre Giglio
- Neuro-oncology, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Rahul Barve
- Neuro-oncology, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Megan Gould
- Neuro-oncology, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Russell R Lonser
- Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, USA
| | - Randy S D'Amico
- Neurosurgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
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20
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Li Q, Dong F, Jiang B, Zhang M. Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics. Front Oncol 2021; 11:646267. [PMID: 34109112 PMCID: PMC8182051 DOI: 10.3389/fonc.2021.646267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 04/26/2021] [Indexed: 01/01/2023] Open
Abstract
Objectives To explore the magnetic resonance imaging (MRI) characteristics of brain diffuse midline gliomas with the H3 K27M mutation (DMG-M) using radiomics. Materials and Methods Thirty patients with diffuse midline gliomas, including 16 with the H3 K27M mutant and 14 with wild type tumors, were retrospectively included in this study. A total of 272 radiomic features were initially extracted from MR images of each tumor. Principal component analysis, univariate analysis, and three other feature selection methods, including variance thresholding, recursive feature elimination, and the elastic net, were used to analyze the radiomic features. Based on the results, related visually accessible features of the tumors were further evaluated. Results Patients with DMG-M were younger than those with diffuse midline gliomas with H3 K27M wild (DMG-W) (median, 25.5 and 48 years old, respectively; p=0.005). Principal component analysis showed that there were obvious overlaps in the first two principal components for both DMG-M and DMG-W tumors. The feature selection results showed that few features from T2-weighted images (T2WI) were useful for differentiating DMG-M and DMG-W tumors. Thereafter, four visually accessible features related to T2WI were further extracted and analyzed. Among these features, only cystic formation showed a significant difference between the two types of tumors (OR=7.800, 95% CI 1.476-41.214, p=0.024). Conclusions DMGs with and without the H3 K27M mutation shared similar MRI characteristics. T2W sequences may be valuable, and cystic formation a useful MRI biomarker, for diagnosing brain DMG-M.
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Affiliation(s)
- Qian Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fei Dong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Biao Jiang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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21
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Abstract
Diffuse midline gliomas harboring histone H3 K27M mutations are most commonly found in the brainstem of children. This mutation confers a WHO grade IV designation and is associated with a particularly poor prognosis. Although traditionally considered to be a disease of children and young adults, a number of recent reports have described H3 K27M mutations in older adults with diffuse midline gliomas. Here, we present the unusual case of a diffuse midline glioma in the pons and cerebellum of an 83-year-old woman and review the evolving clinical literature on this entity in adults. This case underscores that it may occur even in older adults, in whom prognostic and treatment paradigms used in pediatrics may not be directly applicable.
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Affiliation(s)
- Justin Thomas Low
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Shih-Hsiu Wang
- Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA
| | - Katherine B Peters
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
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22
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Yoon HI, Wee CW, Kim YZ, Seo Y, Im JH, Dho YS, Kim KH, Hong JB, Park JS, Choi SH, Kim MS, Moon J, Hwang K, Park JE, Cho JM, Yoon WS, Kim SH, Kim YI, Kim HS, Sung KS, Song JH, Lee MH, Han MH, Lee SH, Chang JH, Lim DH, Park CK, Lee YS, Gwak HS. The Korean Society for Neuro-Oncology (KSNO) Guideline for Adult Diffuse Midline Glioma: Version 2021.1. Brain Tumor Res Treat 2021; 9:1-8. [PMID: 33913265 PMCID: PMC8082289 DOI: 10.14791/btrt.2021.9.e8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 02/15/2021] [Accepted: 03/03/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND There have been no guidelines for the management of adult patients with diffuse midline glioma (DMG), H3K27M-mutant in Korea since the 2016 revised WHO classification newly defined this disease entity. Thus, the Korean Society for Neuro-Oncology (KSNO), a multidisciplinary academic society, had begun preparing guidelines for DMG since 2019. METHODS The Working Group was composed of 27 multidisciplinary medical experts in Korea. References were identified through searches of PubMed, MEDLINE, EMBASE, and Cochrane CENTRAL using specific and sensitive keywords as well as combinations of keywords. As 'diffuse midline glioma' was recently defined, and there was no international guideline, trials and guidelines of 'diffuse intrinsic pontine glioma' or 'brain stem glioma' were thoroughly reviewed first. RESULTS The core contents are as follows. The DMG can be diagnosed when all of the following three criteria are satisfied: the presence of the H3K27M mutation, midline location, and infiltrating feature. Without identification of H3K27M mutation by diagnostic biopsy, DMG cannot be diagnosed. For the primary treatment, maximal safe resection should be considered for tumors when feasible. Radiotherapy is the primary option for tumors in case the total resection is not possible. A total dose of 54 Gy to 60 Gy with conventional fractionation prescribed at 1-2 cm plus gross tumor volume is recommended. Although no chemotherapy has proven to be effective in DMG, concurrent chemoradiotherapy (± maintenance chemotherapy) with temozolomide following WHO grade IV glioblastoma's protocol is recommended. CONCLUSION The detection of H3K27M mutation is the most important diagnostic criteria for DMG. Combination of surgery (if amenable to surgery), radiotherapy, and chemotherapy based on comprehensive multidisciplinary discussion can be considered as the treatment options for DMG.
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Affiliation(s)
- Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Chan Woo Wee
- Department of Radiation Oncology, SMG-SNU Boramae Medical Center, Seoul, Korea
| | - Young Zoon Kim
- Division of Neurooncology and Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Youngbeom Seo
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, Korea
| | - Jung Ho Im
- Department of Radiation Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Yun Sik Dho
- Department of Neurosurgery, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyung Hwan Kim
- Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Korea
| | - Je Beom Hong
- Department of Neurosurgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Sung Park
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seo Hee Choi
- Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Min Sung Kim
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jangsup Moon
- Department of Genomic Medicine, Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Kihwan Hwang
- Department of Neurosurgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jin Mo Cho
- Department of Neurosurgery, Catholic Kwandong University, International St. Mary's Hospital, Incheon, Korea
| | - Wan Soo Yoon
- Department of Neurosurgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Young Il Kim
- Department of Neurosurgery, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyoung Su Sung
- Department of Neurosurgery, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
| | - Jin Ho Song
- Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Min Ho Lee
- Department of Neurosurgery, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Myung Hoon Han
- Department of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Se Hoon Lee
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Do Hoon Lim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chul Kee Park
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
| | - Youn Soo Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
| | - Ho Shin Gwak
- Department of Cancer Control, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.
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23
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Wang Y, Feng LL, Ji PG, Liu JH, Guo SC, Zhai YL, Sankey EW, Wang Y, Xue YR, Wang N, Lou M, Xu M, Chao M, Gao GD, Qu Y, Gong L, Wang L. Clinical Features and Molecular Markers on Diffuse Midline Gliomas With H3K27M Mutations: A 43 Cases Retrospective Cohort Study. Front Oncol 2021; 10:602553. [PMID: 33659209 PMCID: PMC7917281 DOI: 10.3389/fonc.2020.602553] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/21/2020] [Indexed: 12/14/2022] Open
Abstract
Purpose Diffuse midline gliomas (DMG) with H3K27M mutations have been identified as a rare distinctive entity with unique genetic features, varied molecular alterations, and poor prognosis. The current study aimed to evaluate the clinical characteristics and profile of molecular markers on patients with a DMG harboring H3K27M mutations, and explore the impact of this genetic makeup on overall survival. Methods We retrospectively analyzed 43 consecutive patients diagnosed with a DMG harboring H3K27M mutations (age range 3 to 75 years) and treated in a tertiary institution within China between January 2017 to December 2019. Various clinical and molecular factors were evaluated to assess their prognostic value in this unique patient cohort. Results The median overall survival (OS) was 12.83 months. Preoperative Karnofsky Performance Score (KPS) and adjuvant radiotherapy were found to be independent clinical parameters influencing the OS by multivariate analysis (p = 0.027 and p < 0.001 respectively). Whereas extent of tumor resection failed to demonstrate statistical significance. For molecular markers, P53 overexpression was identified as a negative prognostic factor for overall survival by multivariate analysis (p = 0.030). Conclusion Low preoperative KPS, absence of radiotherapy and P53 overexpression were identified as predictors of a dismal overall survival in patients with DMG and H3K27M mutations.
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Affiliation(s)
- Yuan Wang
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Lan-Lan Feng
- Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Pei-Gang Ji
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Jing-Hui Liu
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Shao-Chun Guo
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yu-Long Zhai
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Eric W Sankey
- Department of Neurosurgery, Duke University Hospital, Durham, NC, United States
| | - Yue Wang
- Department of Health Statistics, Fourth Military Medical University, Xi'an, China
| | - Yan-Rong Xue
- National Time Service Center, Chinese Academy of Sciences, Xi'an, China.,School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, China
| | - Na Wang
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Miao Lou
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Meng Xu
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Min Chao
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Guo-Dong Gao
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yan Qu
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Li Gong
- Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Liang Wang
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
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24
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Sanvito F, Castellano A, Falini A. Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors. Cancers (Basel) 2021; 13:cancers13030424. [PMID: 33498680 PMCID: PMC7865835 DOI: 10.3390/cancers13030424] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/15/2021] [Accepted: 01/19/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Advanced neuroimaging is gaining increasing relevance for the characterization and the molecular profiling of brain tumor tissue. On one hand, for some tumor types, the most widespread advanced techniques, investigating diffusion and perfusion features, have been proven clinically feasible and rather robust for diagnosis and prognosis stratification. In addition, 2-hydroxyglutarate spectroscopy, for the first time, offers the possibility to directly measure a crucial molecular marker. On the other hand, numerous innovative approaches have been explored for a refined evaluation of tumor microenvironments, particularly assessing microstructural and microvascular properties, and the potential applications of these techniques are vast and still to be fully explored. Abstract In recent years, the clinical assessment of primary brain tumors has been increasingly dependent on advanced magnetic resonance imaging (MRI) techniques in order to infer tumor pathophysiological characteristics, such as hemodynamics, metabolism, and microstructure. Quantitative radiomic data extracted from advanced MRI have risen as potential in vivo noninvasive biomarkers for predicting tumor grades and molecular subtypes, opening the era of “molecular imaging” and radiogenomics. This review presents the most relevant advancements in quantitative neuroimaging of advanced MRI techniques, by means of radiomics analysis, applied to primary brain tumors, including lower-grade glioma and glioblastoma, with a special focus on peculiar oncologic entities of current interest. Novel findings from diffusion MRI (dMRI), perfusion-weighted imaging (PWI), and MR spectroscopy (MRS) are hereby sifted in order to evaluate the role of quantitative imaging in neuro-oncology as a tool for predicting molecular profiles, stratifying prognosis, and characterizing tumor tissue microenvironments. Furthermore, innovative technological approaches are briefly addressed, including artificial intelligence contributions and ultra-high-field imaging new techniques. Lastly, after providing an overview of the advancements, we illustrate current clinical applications and future perspectives.
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Affiliation(s)
- Francesco Sanvito
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Unit of Radiology, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Correspondence: ; Tel.: +39-02-2643-3015
| | - Andrea Falini
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
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25
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Thust S, Micallef C, Okuchi S, Brandner S, Kumar A, Mankad K, Wastling S, Mancini L, Jäger HR, Shankar A. Imaging characteristics of H3 K27M histone-mutant diffuse midline glioma in teenagers and adults. Quant Imaging Med Surg 2021; 11:43-56. [PMID: 33392010 DOI: 10.21037/qims-19-954] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background To assess anatomical and quantitative diffusion-weighted MR imaging features in a recently classified lethal neoplasm, H3 K27M histone-mutant diffuse midline glioma [World Health Organization (WHO) IV]. Methods Fifteen untreated gliomas in teenagers and adults (median age 19, range, 14-64) with confirmed H3 K27M histone-mutant genotype were analysed at a national referral centre. Morphological characteristics including tumour epicentre(s), T2/FLAIR and Gadolinium enhancement patterns, calcification, haemorrhage and cyst formation were recorded. Multiple apparent diffusion coefficient (ADCmin, ADCmean) regions of interest were sited in solid tumour and normal appearing white matter (ADCNAWM) using post-processing software (Olea Sphere v2.3, Olea Medical). ADC histogram data (2nd, 5th, 10th percentile, median, mean, kurtosis, skewness) were calculated from volumetric tumour segmentations and tested against the regions of interest (ROI) data (Wilcoxon signed rank test). Results The median interval from imaging to tissue diagnosis was 9 (range, 0-74) days. The structural MR imaging findings varied between individuals and within tumours, often featuring signal heterogeneity on all MR sequences. All gliomas demonstrated contact with the brain midline, and 67% exhibited rim-enhancing necrosis. The mean ROI ADCmin value was 0.84 (±0.15 standard deviation, SD) ×10-3 mm2/s. In the largest tumour cross-section (excluding necrosis), an average ADCmean value of 1.12 (±0.25)×10-3 mm2/s was observed. The mean ADCmin/NAWM ratio was 1.097 (±0.149), and the mean ADCmean/NAWM ratio measured 1.466 (±0.299). With the exception of the 2nd centile, no statistical difference was observed between the regional and histogram derived ADC results. Conclusions H3 K27M-mutant gliomas demonstrate variable morphology and diffusivity, commonly featuring moderately low ADC values in solid tumour. Regional ADC measurements appeared representative of volumetric histogram data in this study.
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Affiliation(s)
- Stefanie Thust
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Caroline Micallef
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Sachi Okuchi
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Sebastian Brandner
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology and Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, UK
| | - Atul Kumar
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology and Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, UK
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital for Children, London, UK
| | - Stephen Wastling
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Laura Mancini
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Hans Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Ananth Shankar
- Teenage and Young Persons' Cancer Unit, Department of Paediatric Oncology, University College London Hospitals NHS Foundation Trust, London, UK
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26
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Schulte JD, Buerki RA, Lapointe S, Molinaro AM, Zhang Y, Villanueva-Meyer JE, Perry A, Phillips JJ, Tihan T, Bollen AW, Pekmezci M, Butowski N, Oberheim Bush NA, Taylor JW, Chang SM, Theodosopoulos P, Aghi MK, Hervey-Jumper SL, Berger MS, Solomon DA, Clarke JL. Clinical, radiologic, and genetic characteristics of histone H3 K27M-mutant diffuse midline gliomas in adults. Neurooncol Adv 2020; 2:vdaa142. [PMID: 33354667 PMCID: PMC7739048 DOI: 10.1093/noajnl/vdaa142] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background “Diffuse midline glioma (DMG), H3 K27M-mutant” is a new tumor entity established in the 2016 WHO classification of Tumors of the Central Nervous System that comprises a set of diffuse gliomas arising in midline structures and is molecularly defined by a K27M mutation in genes encoding the histone 3 variants H3.3 or H3.1. While this tumor entity is associated with poor prognosis in children, clinical experience in adults remains limited. Methods Patient demographics, radiologic and pathologic characteristics, treatment course, progression, and patient survival were collected for 60 adult patients with DMG, H3 K27M-mutant. A subset of tumors also underwent next-generation sequencing. Analysis of progression-free survival and overall survival was conducted using Kaplan–Meier modeling, and univariate and multivariate analysis. Results Median patient age was 32 years (range 18–71 years). Tumors were centered in the thalamus (n = 34), spinal cord (10), brainstem (5), cerebellum (4), or other midline sites (4), or were multifocal (3). Genomic profiling revealed p.K27M mutations exclusively in the H3F3A gene and an absence of mutations in HIST1H3B or HIST1H3C, which are present in approximately one-third of pediatric DMGs. Accompanying mutations in TP53, PPM1D, FGFR1, NF1, and ATRX were frequently found. The overall survival of this adult cohort was 27.6 months, longer than historical averages for both H3 K27M-mutant DMG in children and IDH-wildtype glioblastoma in adults. Conclusions Together, these findings indicate that H3 K27M-mutant DMG represents a heterogeneous disease with regard to outcomes, sites of origin, and molecular pathogenesis in adults versus children.
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Affiliation(s)
- Jessica D Schulte
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Robin A Buerki
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Sarah Lapointe
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Yalan Zhang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Arie Perry
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Tarik Tihan
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Andrew W Bollen
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Melike Pekmezci
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jennie W Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Philip Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - David A Solomon
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Jennifer L Clarke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Neurology, University of California, San Francisco, San Francisco, California, USA
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27
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H3K27M-mutant diffuse midline glioma presenting as synchronous lesions involving pineal and suprasellar region: A case report and literature review. J Clin Neurosci 2020; 81:144-148. [PMID: 33222904 DOI: 10.1016/j.jocn.2020.09.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/17/2020] [Accepted: 09/07/2020] [Indexed: 11/23/2022]
Abstract
INTRODUCTION The differential diagnoses for multifocal lesions with pineal and suprasellar involvement in a young adult include germ cell tumour and intracranial metastasis. Other differentials include atypical teratoid/rhabdoid tumour and pineoblastoma. We present the first known case of multicentric H3K27M mutant diffuse midline glioma, which is typically defined by its diffuse nature, midline location, and H3K27M mutation. CASE REPORT A young Chinese female presented subacutely with giddiness, right abducens nerve palsy and unsteady gait. Magnetic resonance imaging (MRI) of the brain with contrast revealed a moderately sized pineal region tumour, extending into the third ventricle, associated with hydrocephalus. There were two other synchronous lesions noted in the suprasellar and left occipital region. Serum and cerebrospinal fluid tumour markers, along with a computed tomography scan of her thorax and abdomen and were unremarkable. She underwent an endoscopic third ventriculostomy and biopsy of pineal and suprasellar lesions. Histology demonstrated a poor prognosis variant multifocal glioblastoma multiforme that was IDH wildtype, H3K27M positive, and MGMT unmethylated. MRI of the whole spine did not reveal any drop metastasis. The patient subsequently underwent adjuvant chemotherapy and radiotherapy after she was deemed to be unsuitable for surgical resection. CONCLUSION Although rare, multicentric H3K27M mutant diffuse midline glioma should be included in the list of differential diagnoses for multifocal enhancing lesions with involvement of the pineal and suprasellar regions, especially if the lesions demonstrate imaging features atypical for more common diagnosis such as germ cell tumours.
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28
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Huang RY, Guenette JP. Non-invasive diagnosis of H3 K27M mutant midline glioma. Neuro Oncol 2020; 22:309-310. [PMID: 31858137 DOI: 10.1093/neuonc/noz240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jeffrey P Guenette
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
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