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Background: The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade.
Patients And Methods: Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients.
Results: This classifier was a significant predictor of overall survival in two independent validation cohorts [cohort 1 (n = 214): P = 6.3 × 10(-5); cohort 2 (n = 27): P = 3.1 × 10(-2)]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %).
Conclusion: Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease.
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http://dx.doi.org/10.1186/s12967-016-0896-7 | DOI Listing |
Arterioscler Thromb Vasc Biol
September 2025
Institute of Cardiovascular Diseases and Department of Cardiology, Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu (K.L., H.M., W.J
Background: The estimated glucose disposal rate (eGDR) is a validated surrogate marker of insulin resistance. However, its association with stroke and dementia in nondiabetic populations remains insufficiently investigated.
Methods: This prospective cohort study included nondiabetic participants from the UK Biobank.
Stroke
September 2025
Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York. (F.C.P., M.R., M.S., A.K., S.G., S.A., S.P., J.C., D.J.R.).
Background: Major ABO-incompatible platelet transfusions are associated with poor intracerebral hemorrhage (ICH) outcomes, yet drivers for this relationship remain unclear. Brain magnetic resonance imaging (MRI) ischemic lesions after ICH are neuroimaging biomarkers of secondary brain injury and are associated with poor outcomes. Given that ABO-incompatible platelet transfusions can induce immune complex formation, thrombo-inflammation, and endothelial barrier disruption, factors that could exacerbate cerebral ischemia, we explored whether major ABO-incompatible platelet transfusions are risk factors for ischemic lesions on brain MRI after ICH.
View Article and Find Full Text PDFEmerg Med Australas
October 2025
Australian Centre for Health Services Innovation, School of Public Health & Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Reliably defining the risk of adverse in-flight events in aeromedical trauma patients could enable more informed pre-departure treatment and guide central asset allocation to achieve better system-level outcomes. Unfortunately, the current literature base specifically examining the in-flight period is sparse. Flight duration is often considered a proxy for the risk of in-flight deterioration; however, there is limited data to support this commonly held assumption.
View Article and Find Full Text PDFCirc Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).