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VcaNet: Vision Transformer with fusion channel and spatial attention module for 3D brain tumor segmentation.
Comput Biol Med
January 2025
College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, 321004, China; Zhejiang Institute of Optoelectronics, Jinhua, 321004, China. Electronic address:
Accurate segmentation of brain tumors from MRI scans is a critical task in medical image analysis, yet it remains challenging due to the complex and variable nature of tumor shapes and sizes. Traditional convolutional neural networks (CNNs), while effective for local feature extraction, struggle to capture long-range dependencies crucial for 3D medical image analysis. To address these limitations, this paper presents VcaNet, a novel architecture that integrates a Vision Transformer (ViT) with a fusion channel and spatial attention module (CBAM), aimed at enhancing 3D brain tumor segmentation.
View Article and Find Full Text PDFDecoding the functional impact of the cancer genome through protein-protein interactions.
Nat Rev Cancer
January 2025
Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Emory University, Atlanta, GA, USA.
Acquisition of genomic mutations enables cancer cells to gain fitness advantages under selective pressure and, ultimately, leads to oncogenic transformation. Interestingly, driver mutations, even within the same gene, can yield distinct phenotypes and clinical outcomes, necessitating a mutation-focused approach. Conversely, cellular functions are governed by molecular machines and signalling networks that are mostly controlled by protein-protein interactions (PPIs).
View Article and Find Full Text PDFCAR-T cell therapy in developing countries: how long should we wait?
J Immunother Cancer
December 2024
Center for Regenerative Medicine, Kathmandu, Nepal
Low- and middle-income countries (LMICs) face a significant burden of cancer prevalence and incidence. However, the survival rates for patients with cancer in these regions are notably lower than those in high-income countries, primarily due to late diagnosis and limited access to advanced treatments. Chimeric antigen receptor (CAR) T-cell therapy has demonstrated promising outcomes in certain terminally ill patients with cancer, yet access to this treatment remains limited in LMICs, including Nepal.
View Article and Find Full Text PDFExploring the relationship between MGAT2 and glioblastoma: A Mendelian Randomization and bioinformatics approach.
Brain Res
January 2025
Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou 221002, China. Electronic address:
Background: Mannosyl-glycoprotein beta-1,2-N-acetylglucosaminyltransferase 2 (MGAT2) and tumors' relevant research was in full swing recently. Therefore, we employed Mendelian Randomization (MR) alongside bioinformatics to thoroughly investigate the possible relationship between MGAT2 and glioblastoma (GBM).
Methods: We utilized the summary statistics of genome-wide association studies (GWAS) for MGAT2 (N = 35,559 from deCODE) and glioblastoma (N = 379,155 from FinnGen).
Decoding the molecular interplay of CD20 and therapeutic antibodies with fast volumetric nanoscopy.
Science
January 2025
Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Würzburg, Germany.
Elucidating the interaction between membrane proteins and antibodies requires whole-cell imaging at high spatiotemporal resolution. Lattice light-sheet (LLS) microscopy offers fast volumetric imaging but suffers from limited spatial resolution. DNA-based point accumulation for imaging in nanoscale topography (DNA-PAINT) achieves molecular resolution but is restricted to two-dimensional imaging owing to long acquisition times.
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