Retrospective Study of Claudin 18 Isoform 2 Prevalence and Prognostic Association in Gastric and Gastroesophageal Junction Adenocarcinoma

Research Report on Claudin 18.2 in Gastric Cancer and Gastroesophageal Junction Adenocarcinoma Background Introduction Gastric cancer and gastroesophageal junction (G/GEJ) adenocarcinoma are major global health burdens. It is estimated that in 2020 alone, there were approximately 1.7 million new cases of gastric and esophageal cancers worldwide, wi...

Disease Staging of Alzheimer's Disease Using a CSF-Based Biomarker Model

Research Background and Objectives With over 50 million people worldwide affected by cognitive impairment disorders, this number is expected to double by 2050. Alzheimer’s disease (AD) is the most common form of dementia, characterized by extracellular amyloid-beta (Aβ) plaques and intracellular tau protein aggregates in the brain. Over the past tw...

Genomic Profiling of Small Bowel Adenocarcinoma: A Pooled Analysis from 3 Databases

Overview of Genomics in Small Bowel Adenocarcinoma: A Data Integration Analysis Based on Three Major Databases Background and Significance of the Study Small Bowel Adenocarcinoma (SBA) is a rare tumor, but its incidence has increased in recent years, especially in duodenal adenocarcinoma. Approximately 20% of SBA patients have certain susceptibilit...

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Research Report on Comprehensive Genomic and Transcriptomic Characteristics of High-Grade Gastro-Entero-Pancreatic Neuroendocrine Tumors Research Background High-grade gastro-entero-pancreatic neuroendocrine neoplasms (HG GEP-NENs) are a heterogeneous group of malignant tumors characterized by neuroendocrine differentiation. According to WHO 2019 [...

Gliomas Disease Prediction: An Optimized Ensemble Machine Learning-Based Approach

Glioma Disease Prediction Based on Optimized Integrated Machine Learning Background and Research Objectives In medical research, gliomas are the most common type of primary brain tumors, encompassing various cancer types with different clinical behaviors and treatment outcomes. Accurate prognosis prediction for glioma patients is crucial for optimi...