St. Jude Survivorship Portal: Sharing and Analyzing Large Clinical and Genomic Datasets from Pediatric Cancer Survivors

St. Jude Survivorship Portal: Sharing and Analyzing Large Clinical and Genomic Datasets from Pediatric Cancer Survivors

St. Jude Survivorship Portal: Analysis and Sharing of Large-Scale Clinical and Genomic Data of Pediatric Cancer Survivors Research Background In the United States, the five-year survival rate for childhood cancer has increased from about 60% in the 1970s to over 85% today. Despite the significant improvement in survival rates, these childhood cance...

Novel WRN Helicase Inhibitors Selectively Target Microsatellite-Unstable Cancer Cells

In the current field of tumor treatment, precision medicine continues to be a research hotspot and development trend. With the advancement of science and technology, we have begun to more accurately understand the characteristics of tumor cells and their dependencies for survival, in hopes of finding new therapeutic targets. Particularly, strategie...

Clinical Validation of a Cell-Free DNA Fragmentome Assay for Augmentation of Lung Cancer Early Detection

Clinical Validation Study on the Application of Cell-Free DNA Fragment Analysis in Enhancing Early Detection of Lung Cancer Background Lung cancer is one of the leading types of cancer threatening the health of both men and women globally. Over 125,000 people die from lung cancer in the United States each year, and globally, the number is close to ...

Multiplex Cerebrospinal Fluid Proteomics Identifies Biomarkers for Diagnosis and Prediction of Alzheimer's Disease

Cerebrospinal Fluid Proteomics Study for Diagnosis and Prediction of Alzheimer’s Disease Background and Research Objectives Alzheimer’s disease (AD) is a neurodegenerative disease that leads to memory loss and cognitive decline, and currently, there is no effective cure globally. Traditionally, the pathological features of AD include β-amyloid (Aβ)...

Crowd-sourced Benchmarking of Single-sample Tumor Subclonal Reconstruction

Single-Sample Tumor Subclonal Reconstruction Algorithm Based on Crowd-Sourced Resources Background The evolution of cancer and the genetic heterogeneity of tumors are critical fields in modern oncology research. Tumors evolve from normal cells through progressive acquisition of somatic mutations. These mutations occur probabilistically, influenced ...

Nucleobase Adducts Bind MR1 and Stimulate MR1-Restricted T Cells

Nucleotide Base Adducts Bind MR1 and Stimulate MR1-Restricted T Cells Abstract This article provides an overview of the latest research by Vacchini et al. on MR1-restricted T cells (MR1T cells), which discovered the presence of nucleotide base adducts as MR1T cell antigens and unveiled their metabolic pathways and physiological functions in tumor c...

Human γδ T Cells in Diverse Tissues Exhibit Site-Specific Maturation Dynamics Across the Life Span

Research Background γδ T cells play an important role in the immune system, particularly in protective immunity, homeostasis, and tissue repair. Unlike conventional αβ T cells, which are restricted by major histocompatibility complex (MHC), γδ T cells directly seed peripheral tissues and respond to various microbial stimuli without relying on MHC-p...

Consensus on Pediatric Epilepsy Surgery for Young Children

Consensus Study Report on Pediatric Epilepsy Surgery Background Introduction The incidence of epilepsy varies significantly across different age groups. According to the International League Against Epilepsy (ILAE), the highest incidence rates of epilepsy are found among those under 5 years old and over 65 years old (>60 per 100,000 people), with c...

Development of Complemented Comprehensive Networks for Rapid Screening of Repurposable Drugs Applicable to New Emerging Disease Outbreaks

Research on Network Construction and Application of Novel Drug Repositioning Strategies Background During the COVID-19 pandemic, researchers and pharmaceutical companies have been dedicated to developing treatments and vaccines. Drug repositioning, due to its shortcut, is considered a rapid and effective response strategy. Drug repositioning attemp...

Asthma Prediction via Affinity Graph Enhanced Classifier: A Machine Learning Approach Based on Routine Blood Biomarkers

Asthma Prediction Enhanced by Affinity Graph-Based Classifier: A Machine Learning Approach Using Routine Blood Biomarkers Background Asthma is a chronic respiratory disease that affects approximately 235 million people worldwide. According to the World Health Organization (WHO), the main characteristic of asthma is airway inflammation, leading to s...