Development and validation of a nomogram for predicting lymph node metastasis in early gastric cancer.

Background: Lymph node metastasis (LNM) significantly impacts the treatment and prognosis of early gastric cancer (EGC). Consequently, the precise prediction of LNM risk in EGC patients is essential to guide the selection of appropriate surgical approaches in clinical settings.

Aim: To develop a novel nomogram risk model for predicting LNM in EGC patients, utilizing preoperative clinicopathological data.

Associations between Genetically Proxied Inhibition of Lipid-Lowering Drug Targets and Serum Micronutrients among Individuals of European Descent: A Mendelian Randomization Study.

Background: Limited and inconclusive data exist concerning the associations between lipid-lowering drugs and serum micronutrient concentrations.

Methods: We conducted Mendelian randomization (MR) analyses to explore the associations between lipid-lowering drug targets and serum micronutrients. Single-nucleotide polymorphisms in genes encoding molecular targets of LDL cholesterol-lowering therapies were selected as instrumental variables for 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR; target of statins), proprotein convertase subtilisin/kexin type 9 (PCSK9; target of PCSK9 inhibitors), and Niemann-Pick C1-Like 1 (NPC1L1; target of ezetimibe).

A Paal-Knorr agent for chemoproteomic profiling of targets of isoketals in cells.

Natural systems produce various γ-dicarbonyl-bearing compounds that can covalently modify lysine in protein targets the classic Paal-Knorr reaction. Among them is a unique class of lipid-derived electrophiles - isoketals that exhibit high chemical reactivity and critical biological functions. However, their target selectivity and profiles in complex proteomes remain unknown.

Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.

Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and coronary artery disease (CARD) are generally performed as single-trait studies, rather than analyzing the related traits simultaneously.

Predicting hepatocellular carcinoma development for cirrhosis patients via methylation detection of heparocarcinogenesis-related genes.

Most hepatocellular carcinoma (HCC) patients have undergone a progression from chronic hepatitis, then liver cirrhosis (LC), and finally to carcinoma. The objective of this study was to elucidate risk factors to predict HCC development for cirrhosis patients. Multiple methylated specific PCR (MSP) was applied to determine methylation status of heparocarcinogenesis-related genes in 396 tissue and plasma specimens and multivariate cox model was used to analyze the relationship between risk variables and HCC development among cirrhosis patients, followed up in a median period of 30 months.

[BORIS Regulates SOCS3 Expression Through Epigenetic Mechanisms in Human Hepatocellular Carcinoma Cells].

Objective: To study the regulation of suppressor of cytokine signaling 3 (SOCS3) expression bythe brother of the regulator of the imprinted site (BORIS) in hepatocellular carcinoma cell.

Methods: The expression of mRNA in HCC cell lines was detected by real-time quantitative PCR (qRT-PCR). The expression of SOCS3 protein in knockdown and overexpression of HCC cell lines was tested by Western blot.

Application of multiplex methylated-specific PCR with capillary electrophoresis to explore prognostic value of TSGs hypermethylation for hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a malignant tumor that severely threatens human health. To date, early detection for HCC patients is particularly significant due to their poor survival rates even after liver resection.

Methods: Therefore, an efficient and sensitive detection method for monitoring liver cancer, multiplex methylation-specific PCR (MSP) coupled with capillary electrophoresis, is developed.

Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and obesity are generally focused on individual traits independently, and genetic intercommunity (common genetic contributions or the product of over correlated phenotypic world) between them are largely unknown, despite extensive data showing that these two phenotypes share both genetic and environmental risk factors.

Novel common variants associated with body mass index and coronary artery disease detected using a pleiotropic cFDR method.

Genome-wide association studies (GWAS) have been successfully applied in identifying single nucleotide polymorphisms (SNPs) associated with body mass index (BMI) and coronary heart disease (CAD). However, the SNPs to date can only explain a small percentage of the genetic variances of traits. Here, we applied a genetic pleiotropic conditional false discovery rate (cFDR) method that combines summary statistic p values from different multi-center GWAS datasets, to detect common genetic variants associated with these two traits.

Aberrant promoter methylation of SOCS-1 gene may contribute to the pathogenesis of hepatocellular carcinoma: a meta-analysis.

Purpose: We conducted this meta-analysis of published case-control studies aiming to evaluate the relationship between abnormal suppression of cytokine signaling-1 (SOCS-1) promoter methylation and the risk of hepatocellular carcinoma (HCC).

Methods: Relevant studies were retrieved from PubMed, Embase, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI) and China Biological Medicine (CBM) databases without language restrictions. Meta-analysis was conducted using the STATA 12.