Intestinal alkaline sphingomyelinase (alk-SMase) generates ceramide and inactivates platelet-activating factor (PAF) and was previously suggested to have anticancer properties. The direct evidence is still lacking. We studied colonic tumorigenesis in alk-SMase knockout (KO) mice. Formation of aberrant crypt foci (ACF) was examined after azoxymethane (AOM) injection. Tumor was induced by AOM alone, a conventional AOM/dextran sulfate sodium (DSS) treatment, and an enhanced AOM/DSS method. β-Catenin was determined by immunohistochemistry, PAF levels by ELISA, and sphingomyelin metabolites by mass spectrometry. Without treatment, spontaneous tumorigenesis was not identified but the intestinal mucosa appeared thicker in KO than in wild-type (WT) littermates. AOM alone induced more ACF in KO mice but no tumors 28 weeks after injection. However, combination of AOM/DSS treatments induced colonic tumors and the incidence was significantly higher in KO than in WT mice. By the enhanced AOM/DSS method, tumor number per mouse increased 4.5 times and tumor size 1.8 times in KO compared with WT mice. Although all tumors were adenomas in WT mice, 32% were adenocarcinomas in KO mice. Compared with WT mice, cytosol expression of β-catenin was significantly increased and nuclear translocation in tumors was more pronounced in KO mice. Lipid analysis showed decreased ceramide in small intestine and increased sphingosine-1-phosphate (S1P) in both small intestine and colon in nontreated KO mice. PAF levels in feces were significantly higher in the KO mice after AOM/DSS treatment. In conclusion, lack of alk-SMase markedly increases AOM/DSS–induced colonic tumorigenesis associated with decreased ceramide and increased S1P and PAF levels. Mol Cancer Ther; 14(1); 259–67. ©2014 AACR.

Esophageal motility disorders are prevalent in 90% of patients with systemic sclerosis [scleroderma (SSc)], with an increased mortality rate in patients with severe esophageal involvement. Esophageal smooth muscle damage caused by ischemia, nerve damage, and inflammatory factors may be responsible for discomfort and various complications in these patients. The clinical manifestations are diverse. Most hospitals still use traditional esophageal manometry and 24-h pH monitoring to diagnose esophageal function in patients with SSc. The aim of this review article is to provide an overview of SSc‐related esophageal motility disorders and related research progress, including the pathogenesis and clinical features of these disorders and the progress made in endoscopic diagnosis. We also discuss the possible pathogenesis and potential therapeutic targets.

Lisha Yi, Haiqin Zhang, Huihui Sun, Lu Zhou, Ying Chen, Liqian Xuan, Yuanxi Jiang, and Shuchang Xu. J Neurogastroenterol Motil 1999;0:. https://doi.org/10.5056/jnm16089

Purpose: Esophageal adenocarcinoma (EAC) is the most common type of esophageal cancer in Western countries. It is usually detected at an advanced stage and has a poor prognosis. The aim of this study was to identify key genes and miRNAs in EAC. Methods: The mRNA microarray data sets GSE1420, GSE26886, and GSE92396 and miRNA data set GSE16456 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were obtained using R software. Functional enrichment analysis was performed using the DAVID database. A protein–protein interaction (PPI) network and functional modules were established using the STRING database and visualized by Cytoscape. The targets of the DEMs were predicted using the miRecords database, and overlapping genes between DEGs and targets were identified. The prognosis-related overlapping genes were identified using Kaplan–Meier analysis and Cox proportional hazard analysis based on The Cancer Genome Atlas (TCGA) database. The differential expression of these prognosis-related genes was validated using the expression matrix in the TCGA database. Results: Seven hundred and fifteen DEGs were obtained, consisting of 313 upregulated and 402 downregulated genes. The PPI network consisted of 281 nodes; 683 edges were constructed and 3 functional modules were established. Forty-four overlapping genes and 56 miRNA–mRNA pairs were identified. Five genes, FAM46A, RAB15, SLC20A1, IL1A, and ACSL1, were associated with overall survival or relapse-free survival. FAM46A and IL1A were found to be independent prognostic indicators for overall survival, and FAM46A, RAB15, and SLC20A1 were considered independent prognostic indicators for relapse-free survival. Among them, the overexpression of RAB15 and SLC20A1 and lower expression of ACSL1 were also identified in EAC tissues based on the expression matrix in the TCGA database. Conclusion: These prognosis-related genes and differentially expressed miRNA have provided potential biomarkers for EAC diagnosis and treatment.