HLA-DR⁺ Tumor Cells Show an Association with a Distinct Immune Microenvironment and CD8⁺ T-Cell Exhaustion in HBV-Associated Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, with hepatitis B virus (HBV) as a major driver. Despite the pivotal role of viral infections in shaping the tumor microenvironment (TME), the mechanistic differences among HBV-, hepatitis C virus (HCV)-, and non-B non-C (NBNC)-associated HCC remain poorly understood. By integrating the largest publicly available single-cell RNA sequencing (scRNA-seq) dataset of HCC (160 samples from 124 patients) with multi-scale protein-level validation using multiplex immunofluorescence and tissue microarrays (198 HCC specimens), HLA-DR⁺ tumor cells are identified as a distinctive feature of HBVHCC.

Correlation analysis between physicians' evaluations of doctor-patient relationship and their preferences for shared decision-making in China.

Shared decision-making (SDM) is a scientific and reasonable decision-making model. However, whether physicians choose SDM is usually influenced by many factors. It is not clear whether the strained doctor-patient relationship will affect physicians' willingness to choose SDM.

Resistance traits and molecular characterization of multidrug-resistant Acinetobacter baumannii isolates from an intensive care unit of a tertiary hospital in Guangdong, southern China.

Purpose: This study aims to characterize antimicrobial resistance (AMR) of all the non-duplicated Acinetobacter baumannii strains isolated from an intensive care unit in a tertiary hospital during the period of January 1 to December 31, 2015.

Methods: A. baumannii (n = 95 strains) isolated from patients was subjected to antimicrobial susceptibility test (AST) by Vitek 2 Compact system to determine minimum inhibitory concentrations, followed by genotyping by enterobacterial repetitive intergenic consensus-PCR (ERIC-PCR).

Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease.

Objective. To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD). Methods.