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Lung cancer is one of the most commonly occurring malignant cancers with the highest rate of mortality globally. Difference between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) and their treatment strategies according to genetic markers may be helpful in reducing the cancer progression and increasing the overall survival (OS) in patients. LUSC is known for comparatively less typical onco-drivers, target therapy resistance, marked genomic complexity, and a reasonably higher mutation rate. The mRNA-seq data and clinical information of LUAD and LUSC cohorts from UCSC Xena comprising 437 and 379 patient samples were extracted. Differential expression and weighted network analyses revealed 47 and 18 hub differentially expressed genes (DEGs) corresponding to LUAD and LUSC cohorts. These hub DEGs were further subjected to protein-protein interaction network (PPIN) and OS analyses. Lower mRNA expression levels of both RPS15A and RPS7 worsened the OS of LUSC patients. Additionally, both these prognostic biomarkers were validated via external sources such as UALCAN, cBioPortal, TIMER, and HPA. RPS7 had higher mutation frequency compared to RPS15A and showed significant negative correlations with infiltrating levels of CD4 T cells, CD8 T cells, neutrophils, and macrophages. Our findings provided novel insights into biomarker discovery and the critical role of ribosomal biogenesis especially smaller ribosomal subunit in pathogenesis of LUSC.
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http://dx.doi.org/10.1007/s13353-023-00782-8 | DOI Listing |
Biochem Biophys Rep
June 2025
Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.
Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.
Int J Nephrol Renovasc Dis
September 2025
Department of Nephrology, Bhumirajanagarindra Kidney Institute, Bangkok, Thailand.
Purpose: Unhealthy behaviors can accelerate the progression of chronic kidney disease (CKD). This study aimed to evaluate the effectiveness of a community-based integrated care program in modifying key unhealthy behaviors among CKD patients in rural Thailand and to assess the impact of these behaviors on the rate of kidney function decline.
Patients And Methods: This is a post-hoc analysis of the ESCORT-2 trial, which is a 3-year prospective cohort study that enrolled 914 patients with CKD stages 3-4 in rural Thailand.
Front Neural Circuits
September 2025
Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Neuronal networks in animal brains are considered to realize specific filter functions through the precise configuration of synaptic weights, which are autonomously regulated without external supervision. In this study, we employ a single Hodgkin-Huxley-type neuron with autapses as a minimum model to computationally investigate how spike-timing-dependent plasticity (STDP) adjusts synaptic weights through recurrent feedback. The results show that the weights undergo oscillatory potentiation or depression with respect to autaptic delay and high-frequency stimulation.
View Article and Find Full Text PDFMed Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
View Article and Find Full Text PDFChem Commun (Camb)
September 2025
School of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.
Through molecular dynamics simulations of imidazolium-based ionic liquid-water mixtures, it was found that the trace water leads to an anomalous non-monotonic change in the diffusion coefficients of ionic liquid, characterized by an initial decrease followed by an increase. Hydrogen bond analysis revealed that this unusual trend is governed by the weighted hydrogen bond lifetime, reflecting the stability of the hydrogen-bond network, rather than simply the number or energy of hydrogen bonds.
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