Steroids

A predictive 14-gene signature and FLI1 inhibition overcome tumor-infiltrating lymphocyte dysfunction in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking effective targeted therapies. Although immune checkpoint inhibitors such as pembrolizumab have improved clinical outcomes in a subset of patients, limited response rates and durability highlight the need for alternative strategies. Tumor-infiltrating lymphocyte (TIL)-based adoptive cell therapy represents a promising approach; h...

Copper transporters promote the malignant progression of glioblastoma by regulating the immunosuppressive tumour microenvironment via the SLC31A1-WNT5A axis.

BACKGROUND: The prognosis for patients with glioblastoma (GBM) remains extremely poor, a challenge largely attributable to the complex nature of its malignant progression and an insufficient understanding of the dynamic plasticity and spatial heterogeneity inherent in the tumour microenvironment during invasion. In recent years, copper has emerged as a trace element of considerable interest due to...

MultiScaleKANNet: a hybrid CNN-KAN-transformer architecture for radiographic bone-loss risk stratification from knee X-rays.

Osteoporosis is underdiagnosed because dual-energy X-ray absorptiometry (DXA) is costly and scarce. We present MultiScaleKANNet, a hybrid deep-learnin...

Involved nodal versus elective neck radiotherapy (INVERT) for head and neck squamous cell carcinoma: a prospective phase II randomized controlled trial protocol.

BACKGROUND: Definitive chemoradiotherapy for head and neck squamous cell carcinomas (HNSCC) carries significant long-term toxicities, with elective ne...

Exploring the Bone-Vascular Axis: AI-Augmented Chest CT Analysis in COPD Highlights Association Between Vertebral Bone Density and Arterial Calcifications.

OBJECTIVES: Artificial intelligence (AI) tools enable automated assessment of vertebral bone mineral density (BMD), coronary artery calcification (CAC...

Screening of Sepsis Diagnostic Biomarkers Based on Fumarate Metabolism-Related Genes with Analysis of Immune Infiltration and Subtype Identification.

BACKGROUND: Sepsis is a major global health challenge characterized by a complex pathogenesis involving an early hyperinflammatory phase followed by a...

Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.

BACKGROUND: Telomeres, located at chromosome ends, regulate cell division and maintain genomic stability. Telomere-related genes (TRGs) play essential...

Machine learning prediction for menopause women with low bone mass: a multicenter and retrospective study.

Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractures. This study uses machine learning (ML) techniqu...

Single-cell profiling identifies a pro-tumoral VCAN positive macrophage subset and defines a prognostic signature in glioblastoma.

Glioblastoma (GBM), the most aggressive primary brain tumor, develops within a tumor microenvironment (TME) dominated by tumor-associated macrophages ...

Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent ...

Machine learning-based transcriptomic analysis of differentially expressed genes in the epithelium and stroma of keratoconus.

BACKGROUND: This study was conducted to delineate layer-specific transcriptomic alterations in the keratoconus (KC) epithelium and stroma and to ident...

RNA-based cancer immunotherapy: Harnessing the power of RNA nanoparticles for melanoma treatment.

RNA-based cancer immunotherapy has emerged as a next-generation strategy in oncology, harnessing the versatile properties of RNA molecules to activate...

Opportunistic screening for osteoporosis using chest X-rays and deep learning: A systematic review and meta-analysis.

PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest radiographs (CXR) for detecting osteoporosis and ass...

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and mach...

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...

Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy.

Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, f...

Multidimensional immune ecological subtyping identifies RUNX1 as a prognostic factor in uveal melanoma.

Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few effective therapies. However, current molecular cl...

An intelligent auxiliary diagnostic system for early osteoporosis screening using stacking ensemble learning.

Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering.

Lung transplantation remains the only definitive treatment for end-stage respiratory failure; however, it has substantial post-operative mortality ris...

Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model-Generated Patient Information in Geriatrics: Cross-Condition Study.

BACKGROUND: Large language models (LLMs) are increasingly used to generate patient-oriented medical information. In geriatrics, such information must ...