Background: Autoantibodies may be present in a variety of underlying cancers several years before tumours can be detected and testing for their presence may allow earlier diagnosis. We report the clinical validation of an autoantibody panel in newly diagnosed patients with lung cancer (LC).
Patients And Methods: Three cohorts of patients with newly diagnosed LC were identified: group 1 (n = 145), group 2 (n = 241) and group 3 (n = 269). Patients were individually matched by gender, age and smoking history to a control individual with no history of malignant disease. Serum samples were obtained after diagnosis but before any anticancer treatment. Autoantibody levels were measured against a panel of six tumour-related antigens (p53, NY-ESO-1, CAGE, GBU4-5, Annexin 1 and SOX2). Assay sensitivity was tested in relation to demographic variables and cancer type/stage.
Results: The autoantibody panel demonstrated a sensitivity/specificity of 36%/91%, 39%/89% and 37%/90% in groups 1, 2 and 3, respectively, with good reproducibility. There was no significant difference between different LC stages, indicating that the antigens included covered the different types of LC well.
Conclusion: This assay confirms the value of an autoantibody panel as a diagnostic tool and offers a potential system for monitoring patients at high risk of LC.
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http://dx.doi.org/10.1093/annonc/mdq361 | 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.
J Med Case Rep
January 2025
Transplant-Nephrology Department, Transplantation Center, University Hospital Martin, Kollarova 2, 03601, Martin, Slovakia.
Introduction: Sarcoidosis is a multisystem inflammatory disease of unknown etiology characterized by the formation of noncaseating epithelioid granulomas. Clinically significant renal involvement is rare in sarcoidosis. It most commonly manifests as chronic tubulointerstitial nephritis and nephrocalcinosis with nephrolithiasis.
View Article and Find Full Text PDFObjective: Scleroderma-associated autoantibodies (SSc-Abs) are specific in participants (pts) with systemic sclerosis and are associated with organ involvement. Our objective was to assess the influence of baseline SSc-Abs on the trajectories of the clinical outcome assessments (COAs) in a phase III randomized controlled trial.
Methods: We used data on both the groups who received placebo (Pbo) and tocilizumab from the focuSSced trial.
Heliyon
January 2025
Department of Laboratory Medicine, Shaoxing Central Hospital, Shaoxing, 312030, China.
Objectives: Autoantibodies mimicking alloantibodies (referred to as mimicking antibodies) are a type of specific antibody that reacts with all red blood cells, but exhibits a stronger reaction with red blood cells expressing the target antigens. This study aimed to explore immunohematologic methods for identifying mimicking antibodies, autoantibodies and alloantibodies, and to formulate safe transfusion strategies based on the results.
Methods: ABO, Rh blood types and direct antiglobulin test were determined using the tube saline method.
Acta Diabetol
January 2025
Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Aims: To assess the utility of reanalysing GCK variants of uncertain significance (VUS) as an intervention to improve the detection of monogenic diabetes.
Methods: We examined GCK VUS in a local cohort of individuals with suspected monogenic diabetes and re-curated each variant against the recent ClinGen GCK-specific variant classification guidelines.
Results: Variant reanalysis achieved a new 'likely pathogenic' classification (i.
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