Chromosomal rearrangements involving the c-ros oncogene 1 () gene define a subset of non-small cell lung cancers highly sensitive to small-molecule tyrosine kinase inhibitors. However, little is known about the impact of different fusion partners on tyrosine kinase inhibitor efficacy. We herein describe a case of a 26-year-old never-smoker patient from southern Africa with metastatic lung adenocarcinoma driven by - fusion, who had a pronounced and durable response to crizotinib. The present case underscores the importance of pursuing actionable alterations in patients with similar clinical and epidemiological characteristics. In addition, provides the second report of crizotinib activity against lung malignancies harboring the unique fusion and highlights the importance of a deeper understanding of molecular alterations in underrepresented subgroups of patients to tailor the decision-making in daily practice.
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http://dx.doi.org/10.1177/2050313X221100407 | DOI Listing |
JACC Adv
January 2025
Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA.
Background: Immune checkpoint inhibitor (ICI) therapy has dramatically improved the prognosis for some cancers but can be associated with myocarditis, adverse cardiovascular events, and mortality.
Objectives: The aim of this study was to develop an artificial intelligence (AI) model to predict the increased likelihood for the development of ICI-related myocarditis and adverse cardiovascular events.
Methods: Cancer patients treated with ICI at a tertiary institution from 2011 to 2022 were reviewed.
Front Plant Sci
December 2024
College of International Studies, National University of Defense Technology, Nanjing, China.
Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. GLNet, which adopts a unique global-local convolutional neural network architecture, realizes the comprehensive capturing of multi-scale features in an image by processing the global feature block and local feature block in parallel and integrating the information of both of them with the help of a feature fusion block.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Alfred Nobels Allé 8, Floor 8, 14152, Huddinge, Sweden.
ITK-SYK and TEL-SYK (also known as ETV6-SYK) are human tumor-causing chimeric proteins containing the kinase region of SYK, and the membrane-targeting, N-terminal, PH-TH domain-doublet of ITK or the dimerizing SAM-PNT domain of TEL, respectively. ITK-SYK causes peripheral T cell lymphoma, while TEL-SYK was reported in myelodysplastic syndrome. BTK is a kinase highly related to ITK and to further delineate the role of the N-terminus, we generated the corresponding fusion-kinase BTK-SYK.
View Article and Find Full Text PDFTrends Biochem Sci
January 2025
Research Group Neuroplasticity, Leibniz Institute for Neurobiology, Magdeburg, Germany; Leibniz Group 'Dendritic Organelles and Synaptic Function', Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Center for Behavioral Brain Sciences, Otto von Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany. Electronic address:
The brain is an exceptionally lipid-rich organ with a very complex lipid composition. Lipids are central in several neuronal processes, including membrane formation and fusion, myelin packing, and lipid-mediated signal transmission. Lipid diversity is associated with the evolution of higher cognitive abilities in primates, is affected by neuronal activity, and is instrumental for synaptic plasticity, illustrating that lipids are not static components of synaptic membranes.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, 200032 Shanghai, China.
Proteins can be represented in different data forms, including sequence, structure, and surface, each of which has unique advantages and certain limitations. It is promising to fuse the complementary information among them. In this work, we propose a framework called ProteinF3S for enzyme function prediction that fuses the complementary information across protein sequence, structure, and surface.
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