Mutual information network-based support vector machine strategy identifies salivary biomarkers in gastric cancer.

Purpose: To determine the vital salivary transcriptomic biomarkers for the early detection of gastric cancer via comparing classification efficiency of multiple candidate genes.

Methods: We firstly identified 5 kinds of candidate genes related to gastric cancer, including differential pathway genes (DPGs) based on the attract method, hub genes in differential pathways based on mutual information network (MIN) analysis, differentially expressed genes (DEGs) identified by Significance Analysis of Microarrays (SAM), informative genes (DEGs in differential pathways), and key genes (hub DEGs). Then, the classification efficiency of these 5 kinds of candidate genes were assessed using support vector machines (SVM) model.

PRISMA-Compliant Article: Clinical Characteristics and Factors Influencing Prognosis of Patients With Hepatoid Adenocarcinoma of the Stomach in China.

Most previous studies have been single case reports, and studies with large samples are presently lacking. In addition, no studies have investigated the associations between the clinical characteristics and prognosis of hepatoid adenocarcinoma of the stomach (HAS). The aim of this study was to explore the associations of different clinical characteristics with the ages, serum alpha-fetoprotein (AFP) levels, and survival times of HAS patients.

Prenatal diagnosis by array-based comparative genomic hybridization in the clinical laboratory setting.

Array-based comparative genomic hybridization (array CGH), a method used to detect gains or losses of genetic material, has recently been applied to prenatal diagnosis of genomic imbalance in the clinical laboratory setting. This new and exciting diagnostic tool represents a major technological step forward in cytogenetic testing and addresses many of the limitations of current cytogenetic methods. Conventional chromosome analysis, the current gold standard in prenatal diagnosis, focuses primarily on the detection of common aneuploidies and is limited by its capacity to detect only those copy number changes that are large enough to be microscopically visible (typically 5-6 Mb in size at the 500 band level).