The Role of SDCBP in Immunotherapy of Colorectal Cancer

Role of Syndecan Binding Protein (SDCBP) in Regulating Tumor Microenvironment, Tumor Progression, and Anti-PD1 Efficacy in Colorectal Cancer Background In recent years, immunotherapy has brought revolutionary advancements in cancer treatment. However, for colorectal cancer (CRC), anti-programmed cell death 1 (APD1) therapy shows relatively limited ...

Romidepsin Exhibits Anti-Esophageal Squamous Cell Carcinoma Activity Through the DDIT4-mTORC1 Pathway

Romidepsin Exhibits Anti-Esophageal Squamous Cell Carcinoma Activity through DDIT4-mTORC1 Pathway Esophageal squamous cell carcinoma (ESCC) is one of the most common human malignancies globally, with high incidence and mortality rates. Given the limited current treatment options, there is an urgent need to develop new effective therapeutic drugs. I...

Identification of Lineage-Specific Epigenetic Regulators FOXA1 and GRHL2 through Chromatin Accessibility Profiling in Breast Cancer Cell Lines

Identification of Lineage-Specific Epigenetic Regulators FOXA1 and GRHL2 through Chromatin Accessibility Analysis of Breast Cancer Cell Lines Background Breast cancer is a highly heterogeneous disease currently classified clinically based on gene expression patterns, intrinsic molecular subtypes, and the expression of hormone receptors/human epider...

Adeno-Associated Virus-Mediated Trastuzumab Delivery to the Central Nervous System for Human Epidermal Growth Factor Receptor 2+ Brain Metastasis

AAV-Mediated Trastuzumab Delivery to the Central Nervous System for EGFR2-Positive Brain Metastases Introduction In the treatment of breast cancer, tumors that are human epidermal growth factor receptor 2 (HER2) positive exhibit more aggressive characteristics, posing significant challenges for clinical treatment. Since the approval of trastuzumab ...

A Wearable Fluorescence Imaging Device for Intraoperative Identification of Human Brain Tumors

Malignant Glioma (MG) Report Malignant Glioma (MG) is the most common type of primary malignant brain tumor. Surgical resection of MG remains the cornerstone of treatment, and the extent of resection is highly correlated with patient survival. However, it is difficult to distinguish tumor tissue from normal tissue during surgery, which greatly limi...

An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy

Research Background Fluorescence spectroscopy is a widely used method for identifying and quantifying fluorescent substances (fluorophores). However, quantifying the fluorophores of interest becomes challenging when the material contains other fluorophores (baseline fluorophores), especially when the emission spectrum of the baseline is not well-de...

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas from MRI

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in MRI Background Glioma is the most common malignant primary brain tumor in adults. According to the 2021 World Health Organization (WHO) classification of tumors, genotype plays a significant role in the classification of tumor subtypes, especially the isocitrate dehy...

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...

A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer’s Diseases

Classification of 3D MRI Gliomas and Alzheimer’s Disease Based on the Siamese-Transport Domain Adaptation Framework Background In computer-aided diagnosis, 3D magnetic resonance imaging (MRI) screening plays a vital role in the early diagnosis of various brain diseases, effectively preventing the deterioration of the condition. Glioma is a common m...

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

DeepSleepNet: An Automatic Sleep Stage Scoring Model Based on Single-Channel EEG Background Introduction Sleep has a significant impact on human health, and monitoring sleep quality is crucial in medical research and practice. Typically, sleep experts score sleep stages by analyzing various physiological signals such as electroencephalogram (EEG), ...