Congenital melanocytic nevi (CMN) can be associated with neurological abnormalities and an increased risk of melanoma. Mutations in NRAS, BRAF, and Tp53 have been described in individual CMN samples; however, their role in the pathogenesis of multiple CMN within the same subject and development of associated features has not been clear. We hypothesized that a single postzygotic mutation in NRAS could be responsible for multiple CMN in the same individual, as well as for melanocytic and nonmelanocytic central nervous system (CNS) lesions. From 15 patients, 55 samples with multiple CMN were sequenced after site-directed mutagenesis and enzymatic digestion of the wild-type allele. Oncogenic missense mutations in codon 61 of NRAS were found in affected neurological and cutaneous tissues of 12 out of 15 patients, but were absent from unaffected tissues and blood, consistent with NRAS mutation mosaicism. In 10 patients, the mutation was consistently c.181C>A, p.Q61K, and in 2 patients c.182A>G, p.Q61R. All 11 non-melanocytic and melanocytic CNS samples from 5 patients were mutation positive, despite NRAS rarely being reported as mutated in CNS tumors. Loss of heterozygosity was associated with the onset of melanoma in two cases, implying a multistep progression to malignancy. These results suggest that single postzygotic NRAS mutations are responsible for multiple CMN and associated neurological lesions in the majority of cases.
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http://dx.doi.org/10.1038/jid.2013.70 | DOI Listing |
Rev Med Inst Mex Seguro Soc
February 2024
Universidad Contemporánea de las Américas, Plantel Las Américas. Morelia, Michoacán, México.
Semin Pediatr Neurol
October 2024
Department of Pediatrics, Division of Pediatric Dermatology, Dell Medical School, University of Texas, 1301 Barbara Jordan Blvd, Suite 200A, Austin, TX 78723, United States. Electronic address:
Neural Netw
November 2024
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China.
Multi-modal 3D object detection is instrumental in identifying and localizing objects within 3D space. It combines RGB images from cameras and point-clouds data from lidar sensors, serving as a fundamental technology for autonomous driving applications. Current methods commonly employ simplistic element-wise additions or multiplications to aggregate multi-modal features extracted from point-clouds and images.
View Article and Find Full Text PDFJ Bone Joint Surg Am
September 2024
Stanford Health Care, Stanford University Medical Center, Stanford, California.
Background: Previous studies comparing reoperation risk between integrated dual lag screw (IDL) and single lag component (SL) cephalomedullary nails (CMNs) in the treatment of intertrochanteric femoral fractures have demonstrated mixed results. The purpose of this study was to assess the rates of reoperation for fixation failure and all-cause reoperation in a large, multi-institutional cohort of patients with an intertrochanteric fracture treated with an IDL or SL CMN. We hypothesized that there would be no difference between the groups with respect to either of the reoperation rates.
View Article and Find Full Text PDFFront Neurol
July 2024
Faculty of Computer and Informatics, Istanbul Technical University, İstanbul, Türkiye.
Atypical neurodevelopmental disorders such as Autism Spectrum Disorder (ASD) can alter the cortex morphology at different levels: (i) a low-order level where cortical regions are examined individually, (ii) a high-order level where the relationship between two cortical regions is considered, and (iii) a multi-view high-order level where the relationship between regions is examined across multiple brain views. In this study, we propose to use the emerging multi-view cortical morphological network (CMN), which is derived from T1-w magnetic resonance imaging (MRI), to profile autistic and typical brains and pursue new ways of fingerprinting 'cortical morphology' at the intersection of 'network neuroscience'. Each CMN view models the pairwise morphological dissimilarity at the connection level using a specific cortical attribute (e.
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