1
|
Deng QM, Zhang J, Zhang YY, Jia M, Ding DS, Fang YQ, Wang HZ, Gu HC. Diagnosis and treatment of refractory infectious diseases using nanopore sequencing technology: Three case reports. World J Clin Cases 2024; 12:5208-5216. [DOI: 10.12998/wjcc.v12.i22.5208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/29/2024] [Accepted: 06/17/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Infectious diseases are still one of the greatest threats to human health, and the etiology of 20% of cases of clinical fever is unknown; therefore, rapid identification of pathogens is highly important. Traditional culture methods are only able to detect a limited number of pathogens and are time-consuming; serologic detection has window periods, false-positive and false-negative problems; and nucleic acid molecular detection methods can detect several known pathogens only once. Three-generation nanopore sequencing technology provides new options for identifying pathogens.
CASE SUMMARY Case 1: The patient was admitted to the hospital with abdominal pain for three days and cessation of defecation for five days, accompanied by cough and sputum. Nanopore sequencing of the drainage fluid revealed the presence of oral-like bacteria, leading to a clinical diagnosis of bronchopleural fistula. Cefoperazone sodium sulbactam treatment was effective. Case 2: The patient was admitted to the hospital with fever and headache, and CT revealed lung inflammation. Antibiotic treatment for Streptococcus pneumoniae, identified through nanopore sequencing of cerebrospinal fluid, was effective. Case 3: The patient was admitted to our hospital with intermittent fever and an enlarged neck mass that had persisted for more than six months. Despite antibacterial treatment, her symptoms worsened. The nanopore sequencing results indicate that voriconazole treatment is effective for Aspergillus brookii. The patient was diagnosed with mixed cell type classical Hodgkin's lymphoma with infection.
CONCLUSION Three-generation nanopore sequencing technology allows for rapid and accurate detection of pathogens in human infectious diseases.
Collapse
Affiliation(s)
- Qing-Mei Deng
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230031, Anhui Province, China
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Jian Zhang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Yi-Yong Zhang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Min Jia
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Du-Shan Ding
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Yu-Qin Fang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Hong-Zhi Wang
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230031, Anhui Province, China
| | - Hong-Cang Gu
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| |
Collapse
|
2
|
Egervari K, Hewer E. Cytological features of ependymal and choroid plexus tumours. Cytopathology 2024. [PMID: 38988178 DOI: 10.1111/cyt.13418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/21/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024]
Abstract
Ependymal and choroid plexus tumours arise in anatomically related regions. Their intraoperative differential diagnosis is large and depends on factors such as age, tumour site and clinical presentation. Squash cytology can provide valuable information in this context. Cytological features of conventional ependymomas, subependymomas and myxopapillary ependymomas as well as choroid plexus tumours are reviewed and illustrated. Differential diagnostic considerations integrating morphological and clinical information are discussed.
Collapse
Affiliation(s)
- Kristof Egervari
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
- Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland
| | - Ekkehard Hewer
- Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| |
Collapse
|
3
|
Cornelli L, Van Paemel R, Ferro Dos Santos MR, Roelandt S, Willems L, Vandersteene J, Baert E, Mus LM, Van Roy N, De Wilde B, De Preter K. Diagnosis of pediatric central nervous system tumors using methylation profiling of cfDNA from cerebrospinal fluid. Clin Epigenetics 2024; 16:87. [PMID: 38970137 PMCID: PMC11225235 DOI: 10.1186/s13148-024-01696-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/17/2024] [Indexed: 07/07/2024] Open
Abstract
Pediatric central nervous system tumors remain challenging to diagnose. Imaging approaches do not provide sufficient detail to discriminate between different tumor types, while the histopathological examination of tumor tissue shows high inter-observer variability. Recent studies have demonstrated the accurate classification of central nervous system tumors based on the DNA methylation profile of a tumor biopsy. However, a brain biopsy holds significant risk of bleeding and damaging the surrounding tissues. Liquid biopsy approaches analyzing circulating tumor DNA show high potential as an alternative and less invasive tool to study the DNA methylation pattern of tumors. Here, we explore the potential of classifying pediatric brain tumors based on methylation profiling of the circulating cell-free DNA (cfDNA) in cerebrospinal fluid (CSF). For this proof-of-concept study, we collected cerebrospinal fluid samples from 19 pediatric brain cancer patients via a ventricular drain placed for reasons of increased intracranial pressure. Analyses on the cfDNA showed high variability of cfDNA quantities across patients ranging from levels below the limit of quantification to 40 ng cfDNA per milliliter of CSF. Classification based on methylation profiling of cfDNA from CSF was correct for 7 out of 20 samples in our cohort. Accurate results were mostly observed in samples of high quality, more specifically those with limited high molecular weight DNA contamination. Interestingly, we show that centrifugation of the CSF prior to processing increases the fraction of fragmented cfDNA to high molecular weight DNA. In addition, classification was mostly correct for samples with high tumoral cfDNA fraction as estimated by computational deconvolution (> 40%). In summary, analysis of cfDNA in the CSF shows potential as a tool for diagnosing pediatric nervous system tumors especially in patients with high levels of tumoral cfDNA in the CSF. Further optimization of the collection procedure, experimental workflow and bioinformatic approach is required to also allow classification for patients with low tumoral fractions in the CSF.
Collapse
Affiliation(s)
- Lotte Cornelli
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Biotechnology, VIB-UGent, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | - Ruben Van Paemel
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Maísa R Ferro Dos Santos
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Biotechnology, VIB-UGent, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | - Sofie Roelandt
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Biotechnology, VIB-UGent, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | - Leen Willems
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | | | - Edward Baert
- Department of Neurosurgery, Ghent University Hospital, Ghent, Belgium
| | - Liselot M Mus
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Nadine Van Roy
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | - Bram De Wilde
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Katleen De Preter
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Center for Medical Biotechnology, VIB-UGent, Ghent, Belgium.
- Cancer Research Institute Ghent, Ghent, Belgium.
| |
Collapse
|
4
|
Shelton WJ, Zandpazandi S, Nix JS, Gokden M, Bauer M, Ryan KR, Wardell CP, Vaske OM, Rodriguez A. Long-read sequencing for brain tumors. Front Oncol 2024; 14:1395985. [PMID: 38915364 PMCID: PMC11194609 DOI: 10.3389/fonc.2024.1395985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/27/2024] [Indexed: 06/26/2024] Open
Abstract
Brain tumors and genomics have a long-standing history given that glioblastoma was the first cancer studied by the cancer genome atlas. The numerous and continuous advances through the decades in sequencing technologies have aided in the advanced molecular characterization of brain tumors for diagnosis, prognosis, and treatment. Since the implementation of molecular biomarkers by the WHO CNS in 2016, the genomics of brain tumors has been integrated into diagnostic criteria. Long-read sequencing, also known as third generation sequencing, is an emerging technique that allows for the sequencing of longer DNA segments leading to improved detection of structural variants and epigenetics. These capabilities are opening a way for better characterization of brain tumors. Here, we present a comprehensive summary of the state of the art of third-generation sequencing in the application for brain tumor diagnosis, prognosis, and treatment. We discuss the advantages and potential new implementations of long-read sequencing into clinical paradigms for neuro-oncology patients.
Collapse
Affiliation(s)
- William J. Shelton
- Department of Neurosurgery, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Sara Zandpazandi
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, United States
| | - J Stephen Nix
- Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Murat Gokden
- Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Michael Bauer
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Katie Rose Ryan
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Christopher P. Wardell
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Olena Morozova Vaske
- Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, United States
| | - Analiz Rodriguez
- Department of Neurosurgery, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| |
Collapse
|
5
|
Afflerbach AK, Albers A, Appelt A, Schweizer L, Paulus W, Bockmayr M, Schüller U, Thomas C. Nanopore sequencing from formalin-fixed paraffin-embedded specimens for copy-number profiling and methylation-based CNS tumor classification. Acta Neuropathol 2024; 147:74. [PMID: 38642165 PMCID: PMC11032293 DOI: 10.1007/s00401-024-02731-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/22/2024]
Affiliation(s)
- Ann-Kristin Afflerbach
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Institute for Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Albers
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany
| | - Anton Appelt
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Leonille Schweizer
- Institute of Neurology (Edinger Institute), University Hospital Frankfurt, Goethe University, Frankfurt Am Main, Germany
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Heidelberg, Germany
- Frankfurt Cancer Institute (FCI), Frankfurt Am Main, Germany
| | - Werner Paulus
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany
| | - Michael Bockmayr
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- bAIome - Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Thomas
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany.
| |
Collapse
|
6
|
Fernando D, Ahmed AU, Williams BRG. Therapeutically targeting the unique disease landscape of pediatric high-grade gliomas. Front Oncol 2024; 14:1347694. [PMID: 38525424 PMCID: PMC10957575 DOI: 10.3389/fonc.2024.1347694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/19/2024] [Indexed: 03/26/2024] Open
Abstract
Pediatric high-grade gliomas (pHGG) are a rare yet devastating malignancy of the central nervous system's glial support cells, affecting children, adolescents, and young adults. Tumors of the central nervous system account for the leading cause of pediatric mortality of which high-grade gliomas present a significantly grim prognosis. While the past few decades have seen many pediatric cancers experiencing significant improvements in overall survival, the prospect of survival for patients diagnosed with pHGGs has conversely remained unchanged. This can be attributed in part to tumor heterogeneity and the existence of the blood-brain barrier. Advances in discovery research have substantiated the existence of unique subgroups of pHGGs displaying alternate responses to different therapeutics and varying degrees of overall survival. This highlights a necessity to approach discovery research and clinical management of the disease in an alternative subtype-dependent manner. This review covers traditional approaches to the therapeutic management of pHGGs, limitations of such methods and emerging alternatives. Novel mutations which predominate the pHGG landscape are highlighted and the therapeutic potential of targeting them in a subtype specific manner discussed. Collectively, this provides an insight into issues in need of transformative progress which arise during the management of pHGGs.
Collapse
Affiliation(s)
- Dasun Fernando
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Afsar U. Ahmed
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Bryan R. G. Williams
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| |
Collapse
|
7
|
Chai R, An S, Lin H, Pang B, Yan H, Liu Y, Wu Y, Wang L, Liu X, Chen H, Yang X, Chang Q, Jia W, Wang Y. Sequencing of cerebrospinal fluid cell-free DNA facilitated early differential diagnosis of intramedullary spinal cord tumors. NPJ Precis Oncol 2024; 8:43. [PMID: 38388726 PMCID: PMC10884012 DOI: 10.1038/s41698-024-00541-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
Pre-surgery differential diagnosis is valuable for personalized treatment planning in intramedullary spinal cord tumors. This study assessed the performance of sequencing cell-free DNA (cfDNA) in cerebrospinal fluid (CSF) for differential diagnosis of these tumors. Prospectively enrolling 45 patients with intramedullary spinal cord lesions, including diffuse midline glioma (DMG), H3K27-altered (14/45), glioblastoma (1/45), H3-wildtype-astrocytoma (10/45), ependymoma (11/45), and other lesions (9/45), CSF samples were collected via lumbar puncture (41/45), intraoperative extraction (3/45), and Ommaya reservoir (1/45). Then, these samples underwent targeted sequencing along with paired tissue DNA. DMG, H3K27-altered patients exhibited a higher ctDNA positivity (85.7%, 12/14) compared to patients with H3-wildtype-astrocytoma (0/8, P = 0.0003), ependymoma (2/10, P = 0.003), and glioneuronal tumor (0/3, P = 0.009). The histological-grade-IV (P = 0.0027), Ki-67 index ≥10% (P = 0.014), and tumor reaching spinal cord surface (P = 0.012) are also associated with higher ctDNA positivity. Interestingly, for patients with TERT promoter mutant tumors, TERT mutation was detectable in the CSF cfDNA of one DMG case, but not other five cases with histological-grade-II tumors. Shared copy number variants were exclusively observed in DMG, H3K27-altered, and showed a strong correlation (Correlation = 0.95) between CSF and tissue. Finally, H3K27M mutations in CSF exhibited high diagnostic efficiency for DMG, H3K27-altered (Sensitivity = 85.7%, Specificity = 100.0%, AUC = 0.929). Notably, H3K27M was detectable in CSF from patients with recurrent tumors, making it easily applicable for postoperative monitoring. In conclusion, the molecular profile from ctDNA released into CSF of malignant tumors was more frequently detected compared to relatively benign ones. Sequencing of ctDNA in CSF exhibited high efficiency for the differential diagnosis of DMG, H3K27-altered.
Collapse
Affiliation(s)
- Ruichao Chai
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Songyuan An
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Han Lin
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Bo Pang
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Yan
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Yun Liu
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Yilin Wu
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Long Wang
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Xing Liu
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huiyuan Chen
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xueyu Yang
- State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Pharmaceutical Co., Ltd., Jiangsu Simcere Diagnostics Co.,Ltd., Nanjing, China
| | - Qing Chang
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenqing Jia
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Yongzhi Wang
- Department of Molecular Neuropathology, Department of Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Neurosurgery, Beijing Tiantan hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
8
|
Drexler R, Khatri R, Schüller U, Eckhardt A, Ryba A, Sauvigny T, Dührsen L, Mohme M, Ricklefs T, Bode H, Hausmann F, Huber TB, Bonn S, Voß H, Neumann JE, Silverbush D, Hovestadt V, Suvà ML, Lamszus K, Gempt J, Westphal M, Heiland DH, Hänzelmann S, Ricklefs FL. Temporal change of DNA methylation subclasses between matched newly diagnosed and recurrent glioblastoma. Acta Neuropathol 2024; 147:21. [PMID: 38244080 PMCID: PMC10799798 DOI: 10.1007/s00401-023-02677-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/08/2023] [Accepted: 12/24/2023] [Indexed: 01/22/2024]
Abstract
The longitudinal transition of phenotypes is pivotal in glioblastoma treatment resistance and DNA methylation emerged as an important tool for classifying glioblastoma phenotypes. We aimed to characterize DNA methylation subclass heterogeneity during progression and assess its clinical impact. Matched tissues from 47 glioblastoma patients were subjected to DNA methylation profiling, including CpG-site alterations, tissue and serum deconvolution, mass spectrometry, and immunoassay. Effects of clinical characteristics on temporal changes and outcomes were studied. Among 47 patients, 8 (17.0%) had non-matching classifications at recurrence. In the remaining 39 cases, 28.2% showed dominant DNA methylation subclass transitions, with 72.7% being a mesenchymal subclass. In general, glioblastomas with a subclass transition showed upregulated metabolic processes. Newly diagnosed glioblastomas with mesenchymal transition displayed increased stem cell-like states and decreased immune components at diagnosis and exhibited elevated immune signatures and cytokine levels in serum. In contrast, tissue of recurrent glioblastomas with mesenchymal transition showed increased immune components but decreased stem cell-like states. Survival analyses revealed comparable outcomes for patients with and without subclass transitions. This study demonstrates a temporal heterogeneity of DNA methylation subclasses in 28.2% of glioblastomas, not impacting patient survival. Changes in cell state composition associated with subclass transition may be crucial for recurrent glioblastoma targeted therapies.
Collapse
Affiliation(s)
- Richard Drexler
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Robin Khatri
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Alicia Eckhardt
- Department of Pediatric Hematology and Oncology, Research Institute Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Department of Radiation Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Thomas Sauvigny
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Lasse Dührsen
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Tammo Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Helena Bode
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Fabian Hausmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Bonn
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannah Voß
- Section of Mass Spectrometric Proteomics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia E Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dana Silverbush
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Volker Hovestadt
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mario L Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Katrin Lamszus
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, Medical Center University of Freiburg, Freiburg, Germany
| | - Sonja Hänzelmann
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| |
Collapse
|