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Free Neuropathology 4:5 (2023)

Meeting Abstracts

64th Meeting of the French Society of Neuropathology
Meeting Abstracts

December 2nd, 2022

Centre Hospitalier Sainte-Anne (Paris)
Amphithéâtre de l'Institut de Psychiatrie et de Neurosciences

The French Society of Neuropathology was created in 1989, succeeding the French Club of Neuropathology set up in 1965.

 

Submitted: 22 March 2023

Accepted: 23 March 2023

Published: 04 April 2023

https://doi.org/10.17879/freeneuropathology-2023-4776

Keywords: French Society of Neuropathology, SFNP, Meeting abstracts, 64th Meeting - Dec. 2022

 


Neuro-Oncology


 

Free Neuropathol 4:5:2-3

Clinico-pathological and epigenetic heterogeneity of diffuse gliomas with FGFR3:TACC3 fusion

Alice Métais1,2, Arnault Tauziède-Espariat1,2, Jeremy Garcia3, Romain Appay3,4, Emmanuelle Uro-Coste5, David Meyronet6,7,8, Claude-Alain Maurage9, Fanny Vandenbos10, Valérie Rigaud11, Dan Christian Chiforeanu12, Johan Pallud13,2, Yann Suhan Senova14, Raphaël Saffroy15, Carole Colin4, Myriam Edjlali16,17, Pascale Varlet1,2, Dominique Figarella-Branger3,4 and contributors of the Biopathology RENOCLIP-LOC network18

  1. GHU Psychiatrie et Neurosciences, site Sainte-Anne, service de Neuropathologie, Paris, France
  2. Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, INSERM, Université de Paris, Equipe IMA-BRAIN (Imaging biomarkers for brain development and disorders), Paris, France
  3. APHM, CHU Timone, Service d'Anatomie Pathologique et de Neuropathologie, Marseille, France
  4. Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
  5. Department of Pathology, Toulouse University Hospital, Toulouse, France
  6. Groupe Hospitalier Est, Département de Neuropathologie, Hospices Civils de Lyon, Bron, France
  7. Claude Bernard University Lyon 1, Lyon, France
  8. Department of Cancer cell plasticity – INSERM U1052 Cancer Research Center of Lyon, Lyon, France
  9. Department of Pathology, Lille University Hospital, Lille, France
  10. Department of Neuropathology, Hôpital Pasteur, Nice, France
  11. Department of Pathology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
  12. Service d'Anatomie et Cytologie Pathologiques, Pontchaillou University Hospital, Rennes, France
  13. Department of Neurosurgery, GHU Paris Psychiatrie et Neurosciences, Paris, France
  14. Departments of Neurosurgery and Psychiatry, Assistance Publique-Hôpitaux de Paris (APHP) Groupe Henri-Mondor Albert-Chenevier, Créteil, France
  15. Department of Biochemistry and Oncogenetic, APHP, Paul-Brousse Hospital, Villejuif, France
  16. Department of Radiology, APHP, Hôpitaux Raymond-Poincaré & Ambroise Paré, DMU Smart Imaging, GH Université Paris-Saclay, U 1179 UVSQ/Paris-Saclay, Paris, France
  17. Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France
  18. Biopathology RENO-CLIP-LOC network: A. Rousseau (Angers), C. Godfraind (Clermont-Ferrand), G. Gauchotte (Nancy), K. Mokhtari and F. Bielle (Paris), F. Escande (Lille), F. Fina (Marseille)

Gliomas with FGFR3::TACC3 fusion mainly occur in adults, display pathological features of glioblastomas (GB) and are usually classified as glioblastoma, IDH-wildtype. However, cases demonstrating pathological features of low-grade glioma (LGG) lead to difficulties in classification and clinical management. We report a series of 8 GB and 14 LGG with FGFR3::TACC3 fusion. TERT promoter mutation was recorded in all GB and 6/14 LGG. Among the 7 cases with a methylation score >0.9 in the classifier (v12.5), 2 were classified as GB, 4 as ganglioglioma (GG) and 1 as dysembryoplastic neuroepithelial tumor (DNET). t-SNE analysis and unsupervised hierarchical clustering showed epigenetic heterogeneity among FGFR3::TACC3 fused gliomas. Relevant factors associated with a better prognosis were age <40, FGFR3(Ex17)::TACC3(Ex10) fusion type and lack of TERT promoter mutation. Among gliomas with FGFR3::TACC3 fusion, age, TERT promoter mutation, pathological features, DNA-methylation profiling and fusion subtype are of interest to determine patients’ risk.


 

Free Neuropathol 4:5:4

Chromothripsis, one major genetic instability factor in glioblastoma, is rare in IDH-mutant gliomas

Baptiste Sourty1,2, Laëtitia Basset1,2, Emmanuel Garcion2, Audrey Rousseau1,2

  1. Département de Pathologie, CHU Angers, 4 rue Larrey, 49933 Angers, France
  2. Univ Angers, Nantes Université, Inserm, CNRS, CRCI2NA, SFR ICAT, F-49000 Angers, France

Introduction: Chromothripsis (CT) and whole-genome duplication (WGD) lead to massive chromosomal alterations that characterize genomic instability. Those events are well described in glioblastomas, but scarcely in IDH-mutant gliomas. Their better prognosis may be related to their genomic stability compared to glioblastomas.

Methods: Pangenomic profiles of 301 gliomas were analyzed by SNP array (196 glioblastomas; 105 IDH-mutant gliomas). Tumor ploidy and CT events were assessed through manual screening and bioinformatics.

Results: Thirty-seven glioblastomas (18.8%) displayed CT versus 5 IDH-mutant gliomas (4.8%, p = 0.0007) (all high-grade astrocytomas). WGD was detected in 18 glioblastomas (9.2%) and 9 IDH-mutant gliomas of any subtype and grade (8.6%), preceding 75% of chromosomal losses.

Conclusion: CT is rare in IDH-mutant gliomas compared to glioblastomas, contributing to the genomic stability of oligodendrogliomas and grade 2 astrocytomas. CT occurrence in high-grade astrocytomas may underlie aggressive biological behavior. WGD occurs early, as much in IDH-mutant gliomas as in glioblastomas.


 

Free Neuropathol 4:5:5-6

Molecular and clinical diversity in primary central nervous system lymphoma

I. Hernández-Verdin1, E. Kirasic1, K. Wienand2, K. Mokhtari1,3, S. Eimer4, H. Loiseau5, A. Rousseau6, J. Paillassa7, G. Ahle8, F. Lerintiu9, E. Uro-Coste10, L. Oberic11, D. Figarella-Branger12, O. Chinot13, G. Gauchotte14, L. Taillandier15, J-P. Marolleau16, M. Polivka17, C. Adam18, R. Ursu19, A. Schmitt20, N. Barillot1, L. Nichelli21, F. Lozano-Sánchez22, M-J. Ibañez-Juliá23, M. Peyre1,24, B. Mathon1,24, Y. Abada22, F. Charlotte25, F. Davi26, C. Stewart27, A. de Reyniès28, S. Choquet25, C. Soussain29, C. Houillier22, B. Chapuy2, K. Hoang-Xuan1,22, A. Alentorn1,22*

  1. Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, F-75013 Paris, France
  2. Department of Hematology and Medical Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany and Department of Hematology, Oncology and Cancer Immunology, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 12203, Berlin, Germany
  3. Department of Neuropathology, Groupe Hospitalier Pitié Salpêtrière, APHP, F-75013, Paris, France
  4. Department of Pathology, CHU de Bordeaux, Hôpital Pellegrin, 33076, Bordeaux, France
  5. Department of Neurosurgery, Bordeaux University Hospital Center, Pellegrin Hospital, Place Amélie Raba-Léon, 33076, Bordeaux and EA 7435 - IMOTION, University of Bordeaux, Bordeaux, France
  6. Departement of Pathology, PBH, CHU Angers, 4, rue Larrey, 49933 Angers cedex 9, France and CRCINA, Université de Nantes - Université d'Angers, Angers, France
  7. Department of Hematology, CHU Angers, 4, rue Larrey, 49933 Angers cedex 9, France
  8. Department of Neurology, Hôpitaux Civils de Colmar, Colmar, France
  9. Department of Neuropathology, Hôpitaux civils de Colmar, 68000 Strasbourg, France
  10. Department of Pathology, CHU de Toulouse, IUC-Oncopole, 31300 Toulouse and INSERM U1037, Cancer Research Center of Toulouse (CRCT), 31100 Toulouse, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
  11. Department of Hematology, IUC Toulouse Oncopole, Toulouse, France
  12. Neuropathology Department University Hospital Timone, Aix Marseille University, Marseille and Inst Neurophysiopathol, CNRS, INP, Aix-Marseille University, Marseille, France
  13. Department of Neuro-oncology, CHU Timone, APHM, Marseille, France and Inst Neurophysiopathol, CNRS, INP, Aix-Marseille University, Marseille, France
  14. Department of Biopathology, CHRU Nancy, CHRU/ICL, Bâtiment BBB, Rue du Morvan, 54511, Vandoeuvre-lès-Nancy and Department of Legal Medicine, CHRU Nancy, Vandoeuvre-lès-Nancy and INSERM U1256, University of Lorraine, Vandoeuvre-lès-Nancy and Centre de Ressources Biologiques, BB-0033-00035, CHRU, Nancy, France
  15. Department of Neuro-Oncology, CHRU-Nancy, Université de Lorraine, Nancy, France
  16. Department of Hematology, CHU Amiens-Picardie, Amiens, France
  17. Department of Anatomopathology, Lariboisière Hospital, Assistance Publique - Hopitaux de Paris, University of Paris, Paris, France
  18. Pathology Department, Bicêtre University Hospital, Public Hospital Network of Paris, Le Kremlin Bicêtre, France
  19. Department of Neurology, Université de Paris, AP-HP, Hôpital Saint Louis, 75010, Paris, France
  20. Department of Hematology, Institut Bergonié Hospital, Bordeaux, France
  21. Department of Neuroradiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles Foix, Paris, France
  22. Department of Neurology-2, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles Foix, Paris, France
  23. Department of Neurology, Perpignan Hospital, Perpignan, France
  24. Department of Neurosurgery, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles Foix, Paris, France
  25. Department of Pathology, APHP, Hôpital Pitié-Salpêtrière and Sorbonne University, Paris, France
  26. Department of Hematology, APHP, Hôpital Pitié-Salpêtrière and Sorbonne University, Paris, France
  27. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
  28. INSERM UMR_S1138 - Centre de Recherche des Cordeliers - Université Pierre et Marie Curie et Université Paris Descartes, Paris, France
  29. Hematology Unit, Institut Curie, 92210 Saint-Cloud, France

Primary central nervous system lymphoma (PCNSL) is a distinct extranodal lymphoma presenting with limited stage disease but variable response rates to treatment despite homogenous pathological presentation. The likely underlying molecular heterogeneity and its clinical impact is poorly understood. We performed a comprehensive multi-omic analysis (whole-exome sequencing, RNA-seq, and methyl-seq) in a discovery cohort of 147 immunocompetent PCNSLs and a validation cohort of 93 PCNSLs. These data were integrated and correlated with the clinico-radiological characteristics and outcomes of the patients, allowing us to identify four significant clusters within PCNSL with shared causative biologic factors of disease and outcome. We found evidence of the microenvironment playing a key role where in two clusters was associated with hypermethylation and in one with high proliferation and Polycomb Repressive Complex 2 activity. Meningeal infiltration was associated with a group enriched for HIST1H1E mutations. Functional analysis on proposed targets supports potential precision-medicine strategies in these PCNSL subtypes.


 


Mini-symposium

In memoriam Pr Charles DUYCKAERTS

Pr Danielle SEILHEAN


 

Free Neuropathol 4:5:7

The role of environmental factors on sporadic Creutzfeldt-Jakob disease mortality: evidence from an age-period-cohort analysis

Angéline Denouel, MSc1, Jean-Philippe Brandel, MD1,2, Danielle Seilhean, MD, PhD1, Jean-Louis Laplanche, PhD3,4, Alexis Elbaz, MD, PhD5†, Stéphane Haik, MD, PhD1,2†

  1. CNRS UMR 7225, INSERM U1127, Paris Brain Institute, Sorbonne Universités, Paris, France
  2. AP-HP, Centre National de Référence des Maladies de Creutzfeldt-Jakob, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
  3. Département de Biochimie et Biologie Moléculaire, Hôpitaux Lariboisière-Fernand Widal, Paris, France
  4. INSERM, UMR 1144, “Optimisation Thérapeutique en Neuropsychopharmacologie”, Paris, France
  5. Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, U1018, Team « Exposome, Heredity, Cancer, and Health », CESP, 94807, Villejuif, France

These authors share senior authorship

Sporadic Creutzfeldt-Jakob disease (sCJD) is the most common form of human prion diseases. Its origin is still unknown and the role of exogenous factors remains possible. We aimed to study sCJD mortality from data collected over 25-years (1992-2016) of active surveillance in France using an Age-Period-Cohort (APC) model in order to better understand sCJD origin.

Our study revealed that several factors influence mortality of sCJD over time. Indeed, APC analyses highlighted processes linked to aging through an age effect, improvement of surveillance system through a period effect, and, unexpectedly, showed a cohort effect supporting the role of unknown environmental risk factors in disease occurrence. In addition, an age-dependent gender effect was shown with a shift in men-to-women mortality ratio at the age peak. This approach was performed for all sCJD cases and for patients associated with the most frequent strain of sCJD (i.e. the M1 strain) with similar results.


 

Free Neuropathol 4:5:8

Astrocytic permeability disorder in spheroid leukoencephalopathy with CSF1R mutation

Teresa Dot Gomara1, Sabrina Leclère2,3, Isabelle Plu1,2,3, Susana Boluda Casas1,2,3, Danielle Seilhean1,2,3

  1. Department of Neuropathology, Pitié-Salpêtrière Hospital, APHP, Sorbonne University, Paris, France
  2. NeuroCEB Brainbank, France
  3. CNRS UMR7225, INSERM U1127, Paris Brain Institute, Sorbonne University, France

Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare, progressive neurological disease associated with mutations in CSF1R (colony-stimulating factor-1 receptor) gene, known to control the production, differentiation and function of macrophages. We analyzed a series of seven cases of ALSP with regards to microglial, astrocytic and axonal markers. We observed a progressive loss of microglia associated with a change in the shape and size of remaining cells. The distribution of astrocytic aquaporin-4 (AQP4) was significantly different in ALSP compared to controls. In the relatively spared subcortical regions, an abundance of ramified IBA1+ microglia was noticed as well as a strong expression of astrocytic AQP4. In contrast, in the most severely affected regions these markers were extinguished. These arguments provide evidence for the toxic role of microglia and disorders of water flow between cells as factors in the progression of lesions in the disease.


 

Free Neuropathol 4:5:9

Neuropathological differences between Down syndrome and familial Alzheimer’s disease with APP duplication: role of endothelial cells in cerebral amyloid angiopathy

A. Kasri1, S. Boluda1, L. Valay1, M. Danjou1, V. Montecalvo1, C. Duyckaerts1, L. Stimmer1, E. Gkanatsiou2, G. Brinkmalm2,3, Y. Vermeiren4,5, S. E. Pape6, P. P. De Deyn4,5, M. Irmler7,8, J. Becker7,8, H. Zetterberg2,9, A. Strydom6, M.-C. Potier1

  1. Paris Brain Institute, ICM, CNRS UMR7225 - INSERM U1127 – UPMC, Paris, France
  2. Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
  3. Sahlgrenska University Hospital, Clinical Neurochemistry Laboratory, Mölndal, Sweden
  4. Department of Biomedical Sciences, Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
  5. Department of Neurology and Alzheimer Center, University of Groningen, University Medical Center Groningen (UMCG), Groningen, Netherlands
  6. Institute of Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, London, United Kingdom
  7. Helmholtz Zentrum München, Neuherberg, Germany
  8. Technical University Munich, TUM School of Life Sciences, Freising
  9. Department of molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, United Kingdom

While amyloid plaques are common in all AD cases, CAA is mainly found in familial AD with duplications of the APP gene (DUP-APP), Down Syndrome (DS), and specific APP mutations. Mechanisms leading to these differences are not yet understood. We investigated the diversity of neuropathological phenotypes in sporadic AD (sAD), DUP-APP, APP mutations, DS with or without dementia (D), and control cases. In addition, we analysed endothelial cells derived from iPSC lines (iPSC-d-ECs) of patients to model the vessel wall forming the blood-brain barrier.

Aβ deposits in the parenchyma were numerous in sAD, DS-D and APP mutations, but less abundant in DUP-APP sections (12 sAD, 7 DUP-APP, 3 DS, 10 DS-D and 9 APP mutations cases). Conversely, Aβ deposits in the blood vessels (arteries and arterioles) were prominent in DUP-APP, less abundant in DS-D and scarce in sAD and APP mutations. Only DUP-APP cases showed Aβ deposits in the capillaries. Despite striking differences in Aβ pathologies, all cases with dementia had high Tau pathology. iPSC-d-ECs secreted substantial amounts of Aβ peptides. We identified changes in the morphology and tight junctions of iPSC-d-ECs with DUP-APP as well as specific gene expression dysregulations, suggesting intrinsic remodelling of ECs of the blood-brain barrier in DUP-APP.

Our study reveals new pathophysiological mechanisms involved in specific Aβ production and deposition in the blood vessel wall of patients carrying DUP-APP involving EC. Differences between DUP-APP and DS suggest the presence in the DS populations of protective factors against CAA.


 

Free Neuropathol 4:5:10

Genesis and plasticity of the ALS concept in research: what function for what history?

Anne Fenoy1, Danielle Seilhean2, Claire Crignon3

  1. UMR 8011 SND, Initiative Humanités Biomédicales, Sorbonne Université, Paris, France
  2. INSERM U1127, CNRS U7225, Sorbonne Université, Institut du Cerveau, Paris, France & AP-HP, Hôpital Pitié-Salpêtrière, Département de Neuropathologie, Paris, France
  3. UMR 7117, Archives Poincaré, Université de Lorraine, Nancy, France

The identification of ALS by Jean-Martin Charcot in 1873 appears as a founding moment in the history of neuropathology and neurology. Through the anatomical-clinical method, Charcot was able to provide a first description of the main mechanisms of the disease by combining clinical and neuropathological observations. The history of knowledge of ALS is often reduced to the history of Charcot, whose work is commemorated, notably by the use of the eponym "Charcot's disease". Reducing the story to a hagiographic approach can lead to a misguided view of how ALS research works and how it has evolved over time. A combined philosophical, historical, and observational field approach allows us to understand the evolution of the concepts and models developed. The comparison of representations questions the evolution of practices and models and their interpretation, from the original case study to the models, up to the use of animal models.


 

Free Neuropathol 4:5:11

Neurofilament accumulations in Amyotrophic Lateral Sclerosis patients’ motor neurons impair axonal initial segment integrity

Cynthia Lefebvre-Omar1, Elise Liu1, Carine Dalle1, Boris Lamotte d'Incamps2, Stéphanie Bigou1, Clément Daube1, Marc Davenne1, Noémie Robil3, Coline Jost-Mousseau1, François Salachas1,4, Lucette Lacomblez1,4, Danielle Seilhean1,5, Christian S. Lobsiger1, Stéphanie Millecamps1, Séverine Boillée1, Delphine Bohl1

  1. Sorbonne Université, Institut du Cerveau – Paris Brain Institute – ICM, Inserm, CNRS AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
  2. Université de Paris, Saints-Pères Paris Institut des Neurosciences, CNRS, Paris, France
  3. GenoSplice technology, Paris, France
  4. Département de Neurologie, Centre de référence SLA Ile de France, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
  5. Département de Neuropathologie, Assistance Publique Hôpitaux de Paris (AP-HP), Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France

Neurofilament (NF) levels in patient’ fluids have emerged as the prime biomarker of Amyotrophic Lateral Sclerosis (ALS) disease progression, while NF accumulation in MNs of patients is one of the oldest pathological hallmarks. However, the way how NF accumulations contribute to MN degeneration remains unknown. To assess NF accumulations and study the impact on MNs, we compared MNs derived from induced pluripotent stem cells (iPSC) of ALS patients carrying different mutations. Our results show that the integrity of the MN axonal initial segment (AIS), the region of action potential initiation and responsible for maintaining axonal integrity, is impaired in the presence of phosphorylated NF-M/H accumulations in MNs. Our results expand the understanding of how NF accumulation could dysregulate components of the axonal cytoskeleton and disrupt MN homeostasis. Thus, preserving AIS integrity could open new therapeutic opportunities for ALS.


 

Free Neuropathol 4:5:12

Design of a customizable relational DataBase to study clinic pathological correlations in autopsied series

Isabelle Journe-Mallet1, Julien Gouju1, Frederique Etcharry-Bouyx2, Valerie Chauvire2, Virginie Guillet-Pichon2,3,4, Christophe Verny3,4, Franck Letournel1, Philippe Codron1,4,5,6

  1. Laboratoire de neurobiologie et neuropathologie, Centre Hospitalier Universitaire d’Angers, Angers, France
  2. Centre mémoire de ressource et de recherche, Centre Hospitalier Universitaire d’Angers, Angers, France
  3. Centre de référence des maladies neurogénétiques, Centre Hospitalier Universitaire d’Angers, Angers, France
  4. Univ Angers, Inserm, CNRS, MITOVASC, SFR ICAT, Angers, France
  5. Centre de référence des maladies neuromusculaires AOC, Centre Hospitalier Universitaire d’Angers, Angers, France
  6. Centre de ressources et de compétences sur la SLA, Centre Hospitalier Universitaire d'Angers, Angers, France

The analysis of clinicopathological correlations in autopsy series remains a central method to improve our understanding of neurodegenerative diseases. However, this approach requires a wealth of information to be relevant, and the use of standard spreadsheet software to collect and manage such volume of data is hardly suitable. To overcome this constraint, we used an open-source DataBase Management Systems (DBMS) to design a customizable neuropathology form with 456 data entry fields. This approach allowed us to optimize the collection of clinical and pathological data from our brain collection, with an average filling time of about 10 minutes per patient. Next, we could easily retrieve information from the generated DataBase (22,885 data points) with multiple and conditional queries to study clinicopathological correlations and to quickly identify cases for both diagnosis and research purpose. The large amount of generated data in clinicopathological studies should encourage a more systematic use of DBMS.


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