Classification of colorectal cancer into clinically relevant subtypes based on genes and mesenchymal cells.

Background: Most studies on subtype identification of colorectal cancer (CRC) were based on expressions of either genes or immune cells. However, few studies have hitherto used the combination of genes with immune and stroma cells for subtype identification.

Methods: Dataset GSE17536 was obtained from the Gene Expression Omnibus (GEO) database.

The Immune Landscape of Hepatitis B Virus-Related Acute Liver Failure by Integration Analysis.

Hepatitis B virus-related acute liver failure (HBV-ALF) is a common type of liver failure, associated with high short-term mortality and morbidity rates. However, the immune landscape of HBV-ALF and its correlation with cell death are currently unknown. Based on 3 Gene Expression Omnibus data sets, infiltrated immune cells were quantified by single-sample gene set enrichment analysis method.

Activated Hepatic Stellate Cells Induce Infiltration and Formation of CD163 Macrophages CCL2/CCR2 Pathway.

Activated hepatic stellate cells (aHSCs) regulate the function of immune cells during liver fibrosis. As major innate cells in the liver, macrophages have inducible plasticity. Nevertheless, the mechanisms through which aHSCs regulate macrophages' phenotype and function during liver fibrosis and cirrhosis remain unclear.

Bayesian network to predict hepatitis B surface antigen seroclearance in chronic hepatitis B patients.

There is a need for an interpretable, accurate and interactions-considered model for predicting hepatitis B surface antigen (HBsAg) seroclearance. We aimed to construct a Bayesian network (BN) model using available medical records to predict HBsAg seroclearance in chronic hepatitis B (CHB) patients, and to evaluate the model's performance. This was a case-control study.