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Kassubek R, Lulé D, Ludolph AC, Kassubek J, Müller HP. Bevacizumab is associated with cerebral microstructural alterations: a DTI study in high-grade glioma. Front Neurol 2023; 14:1191226. [PMID: 37305747 PMCID: PMC10247958 DOI: 10.3389/fneur.2023.1191226] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 04/24/2023] [Indexed: 06/13/2023] Open
Abstract
Background For recurrent high-grade glioma, especially glioblastoma, no standard of care treatment exists. Due to the prolongation of progression-free survival and a cortiocosteroid-sparing effect, bevacizumab is often used in this condition. Despite initial clinical responses, there is growing evidence that bevacizumab may potentiate microstructural alterations which may cause cognitive decline, mostly affecting learning and memory. Methods To investigate bevacizumab-associated microstructural damage of defined regions of interest (ROIs) in the white matter, diffusion tensor imaging (DTI) was performed in 10 patients with a case history or third-party report for neurological dysfunction concerning cognitive performance. Serial DTI data before and under bevacizumab were collected and longitudinal changes of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) were assessed in mesiotemporal (hippocampal), frontal, and occipital regions. Results The longitudinal DTI data under bevacizumab compared to DTI prior to bevacizumab demonstrated a significant decrease in FA and increase in AD and RD both in mesiotemporal (hippocampal) regions and in frontal regions, whereas occipital regions showed no significant alterations in DTI metrics. Conclusion The regionally impaired microstructure in mesiotemporal (hippocampal) regions and in frontal regions is in line with the fact that neurocognitive impairment in learning and memory is mostly related to hippocampal integrity and attentional control in frontal regions. Further studies could investigate the potential of DTI to assess bevacizumab-associated microstructural damages in vulnerable brain regions.
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Affiliation(s)
| | - Dorothée Lulé
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Albert C. Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
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Bartlett J, Amemiya Y, Arts H, Bayani J, Eng B, Grafodatskaya D, Kamel Reid S, Lariviere M, Lo B, McClure R, Mittal V, Sadikovic B, Sadis S, Seth A, Smith J, Zhang X, Feilotter H. Multisite verification of the accuracy of a multi-gene next generation sequencing panel for detection of mutations and copy number alterations in solid tumours. PLoS One 2021; 16:e0258188. [PMID: 34597339 PMCID: PMC8486135 DOI: 10.1371/journal.pone.0258188] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/22/2021] [Indexed: 11/29/2022] Open
Abstract
Molecular variants including single nucleotide variants (SNVs), copy number variants (CNVs) and fusions can be detected in the clinical setting using deep targeted sequencing. These assays support low limits of detection using little genomic input material. They are gaining in popularity in clinical laboratories, where sample volumes are limited, and low variant allele fractions may be present. However, data on reproducibility between laboratories is limited. Using a ring study, we evaluated the performance of 7 Ontario laboratories using targeted sequencing panels. All laboratories analysed a series of control and clinical samples for SNVs/CNVs and gene fusions. High concordance was observed across laboratories for measured CNVs and SNVs. Over 97% of SNV calls in clinical samples were detected by all laboratories. Whilst only a single CNV was detected in the clinical samples tested, all laboratories were able to reproducibly report both the variant and copy number. Concordance for information derived from RNA was lower than observed for DNA, due largely to decreased quality metrics associated with the RNA components of the assay, suggesting that the RNA portions of comprehensive NGS assays may be more vulnerable to variations in approach and workflow. Overall the results of this study support the use of the OFA for targeted sequencing for testing of clinical samples and suggest specific internal quality metrics that can be reliable indicators of assay failure. While we believe this evidence can be interpreted to support deep targeted sequencing in general, additional studies should be performed to confirm this.
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Affiliation(s)
- John Bartlett
- Diagnostic Development, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Edinburgh Cancer Research Centre, Edinburgh, United Kingdom
| | - Yutaka Amemiya
- SRI Genomics Laboratory and Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Heleen Arts
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Jane Bayani
- Diagnostic Development, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Barry Eng
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Daria Grafodatskaya
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Suzanne Kamel Reid
- Department of Clinical Laboratory Genetics, The University Health Network, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Mathieu Lariviere
- Thermo Fisher Scientific, South San Francisco, CA, United States of America
| | - Bryan Lo
- Dept of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Rebecca McClure
- Health Sciences North/Horizon Sante-Nord, Sudbury, Ontario, Canada
| | - Vinay Mittal
- Thermo Fisher Scientific, South San Francisco, CA, United States of America
| | - Bekim Sadikovic
- Molecular Diagnostics Laboratoroy, Victoria Hospital, London Health Sciences Centre, London, Ontario, Canada
- Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada
| | - Seth Sadis
- Thermo Fisher Scientific, South San Francisco, CA, United States of America
| | - Arun Seth
- SRI Genomics Laboratory and Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Jeff Smith
- Thermo Fisher Scientific, South San Francisco, CA, United States of America
| | - Xiao Zhang
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Harriet Feilotter
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, Ontario, Canada
- Laboratory Genetics, Kingston Health Sciences Center, Kingston Ontario, Canada
- * E-mail:
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