Objective: Paraneoplastic neurological syndromes (PNS) are rare disorders associated with various onconeuronal antibodies. Anti-Ri antibodies (ANNA-2) are typically found in patients with opsoclonus myoclonus syndrome (OMS) and ataxia.
Case Report: We present an anti-Ri antibody-positive 77-year-old woman with subacute progressive bilateral cranial nerve VI palsy, gait disturbance and jaw dystonia. MRI of the brain showed hyperintense signals on T bitemporal without contrast enhancement. Cerebrospinal fluid (CSF) examination exhibited mild pleocytosis of 13 cells/µl and positive oligoclonal bands. CSF was overall inconspicuous for a malignant or inflammatory etiology. Immunofluorescence analysis revealed anti-Ri antibodies in both serum and CSF. Subsequent diagnostic work up resulted in a newly diagnosed ductal carcinoma of the right breast. PNS in this case partially responded to the anti-tumor therapy.
Conclusion: This case shows similarities with recently published anti-Ri syndromes, which might form a distinct triad within the anti-Ri spectrum.
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http://dx.doi.org/10.1007/s10354-023-01006-8 | DOI Listing |
Discov Oncol
January 2025
School of Medicine, Hamadan University of Medical Sciences, Pajoohesh Blvd, Hamadan, Iran.
Purpose: Paraneoplastic syndromes (PNS) are a group of rare disorders triggered by an immune response to malignancy, characterized by diverse neurological, muscular, and systemic symptoms. This study aims to leverage machine learning to develop a predictive model for cancer diagnosis in patients with paraneoplastic autoantibodies.
Methods: Demographic data included age and sex, and presenting symptoms were recorded.
Mult Scler
January 2025
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Testing for myelin oligodendrocyte glycoprotein immunoglobulin G antibodies (MOG-IgG) is essential to the diagnosis of MOG antibody-associated disease (MOGAD). Due to its central role in the evaluation of suspected inflammatory demyelinating disease, the last 5 years has been marked by an abundance of research into MOG-IgG testing ranging from appropriate patient selection, to assay performance, to utility of serum titers as well as cerebrospinal fluid (CSF) testing. In this review, we synthesize current knowledge pertaining to the "who, what, where, when, why, and how" of MOG-IgG testing, with the aim of facilitating accurate MOGAD diagnosis in clinical practice.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Clinical Therapeutics, Alexandra General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece.
Paraneoplastic cerebellar degeneration (PCD) is an inflammatory autoimmune process caused by onconeural antibodies directed against cerebellar Purkinje cells. In most cases, prognosis is poor as disease progression leads to pancerebellar dysfunction and permanent neurological damage. Through this case report, we aim to highlight the clinical presentation, diagnostic process, and therapeutic implications associated with PCD secondary to SCLC.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Pathology, Faculty of Health Care and Social Work, Trnava University and University Hospital, 917 02 Trnava, Slovakia.
The autoantibodies against the NR1 subunit are well known in the pathomechanism of NMDAR encephalitis. The dysfunction of the NR2 subunit could be a critical factor in this neurological disorder due to its important role in the postsynaptic pathways that direct synaptic plasticity. We report a case of paraneoplastic anti-NMDAR encephalitis presented alongside very severe illness.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Neurology, The Second Affiliated Hospital, Army Medical University, Chongqing, China.
Objective: To investigate the differences of clinical characteristics and treatment outcomes between paraneoplastic neurologic syndrome (PNS) patients with one high-risk antibody and patients with two high-risk antibodies.
Methods: We retrospectively analyzed the data of 51 PNS patients with high-risk antibody. Clinical data were extracted from the patients' electronic medical records.
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