Therapeutic approaches in antibody-associated central nervous system pathologies
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Updated: Apr 24, 2026

Delivery of Antibodies into the Brain Using Focused Scanning Ultrasound
Published on: July 18, 2020
1Neuro-oncologie, French Reference Center on Paraneoplastic Neurological Syndrome, hôpital neurologique Pierre-Wertheimer, hospices civils de Lyon, 59, boulevard Pinel, 69677 Bron cedex, France; Lyon Neuroscience Research Center, Inserm U1028/CNRS UMR 5292, faculté Laennec, 9, rue Guillaume-Paradin, 69003 Lyon, France; Université de Lyon, université Claude-Bernard Lyon 1, 43, boulevard du 11 novembre 1918, 69100 Villeurbanne, France.
Abstract:
Initially, antibodies targeting intracellular compounds were described in patients with paraneoplastic neurological syndromes (PNS) such as anti-Hu, anti-Yo, anti-Ri or anti-CV2/CRMP5 antibodies. As more than 90% of patients with these antibodies suffer from an associated cancer, these antibodies were used as biomarkers of an underlying tumour. Recently, autoantibodies targeting cell-surface synaptic antigens have been described in patients with neurological symptoms suggesting PNS. These autoantibodies being less frequently associated with a tumour, they completely changed the concept of PNS. They lead to a new classification, not based on clinical symptoms or oncological status but on the location of the targeted antigens. Three groups of autoantibodies can be delineated according to the neuronal localization of the targeted antigen: Group 1: cytoplasmic neuronal antigens (CNA) (anti-Hu, Yo, CV2/CRMP5, Ri, Ma1/2, Sox, Zic4). Group 2: cell-surface neuronal antigens (CSNA) (anti-NMDAR, Lgi1, CASPR2, VGCC, AMPAr, GlyR, DNER, GABABR, GABAAR, IgLONS, mGluR1 and mGluR5). Group 3: intracellular synaptic antigens (ISA) (anti-GAD65 and anti-amphiphysin). More than being solely a classification of patients, these three groups are related to profound differences in the pathophysiology and in the pathogenic role of the associated autoantibody. According to the type of associated autoantibody, the age and sex of patients, physicians are now able to predict the presence or absence of tumour, the clinical evolution and prognostic and also the response to immunomodulator treatments that differ fundamentally from one group to the others.
Insights
New autoantibodies targeting cell-surface antigens have redefined paraneoplastic neurological syndromes (PNS). This classification, based on antigen location, aids in predicting cancer association, prognosis, and treatment response for PNS patients.
Area of Science:
- Neuroimmunology
- Oncology
- Neurology
Background:
- Autoantibodies targeting intracellular antigens were initially linked to paraneoplastic neurological syndromes (PNS) and associated cancers.
- Recent discovery of autoantibodies targeting cell-surface synaptic antigens has shifted the paradigm of PNS classification and understanding.
Purpose of the Study:
- To introduce a new classification of PNS based on the neuronal localization of targeted antigens.
- To explore the implications of this new classification on pathophysiology, tumor association, and treatment strategies.
Main Methods:
- Categorization of autoantibodies into three groups based on neuronal antigen location: cytoplasmic (Group 1), cell-surface (Group 2), and intracellular synaptic (Group 3).
- Analysis of clinical data, tumor association, and treatment responses across the three groups.
Main Results:
- Group 1 antibodies (e.g., anti-Hu, anti-Yo) are strongly associated with cancer.
- Group 2 antibodies (e.g., anti-NMDAR, anti-Lgi1) are less frequently associated with tumors, altering the traditional PNS concept.
- Group 3 antibodies (e.g., anti-GAD65) represent another distinct category.
- The classification correlates with differences in pathophysiology, tumor likelihood, clinical course, and response to immunomodulatory treatments.
Conclusions:
- The new classification based on antigen location (cytoplasmic, cell-surface, intracellular synaptic) provides a more nuanced understanding of PNS.
- This classification aids clinicians in predicting tumor presence, prognosis, and tailoring immunomodulatory treatments for PNS patients.
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