LRCH1 suppresses migration of CD4+ T cells and refers to disease activity in ulcerative colitis.

Background: Ulcerative colitis (UC) is a chronically remittent and progressive inflammatory disorder. LRCH1 is reported to be involved in the immune-regulation of several diseases. However, the exact roles of LRCH1 in UC are still obscure. Materials and Methods: LRCH1 expression was analyzed in the inflamed mucosa and peripheral blood mononuclear cells (PBMCs) from patients with UC by quantitative RT-PCR and immunohistochemistry. Peripheral blood CD4+ T cells were transfected with lentivirus-expressing LRCH1 (LV-LRCH1) or LV-sh-LRCH1, and cytokine expression was determined by using flow cytometry, quantitative RT-PCR and ELISA. Transfected CD4+ T cells were harvested to examine the capacity of chemotaxis using Transwell plate. Results: LRCH1 expression was highly decreased in colonic mucosa and PBMCs from patients with A-UC, and negatively correlated with disease activity. Up or down regulation of LRCH1 did not affect the differentiation of CD4+ T cells, and the related cytokines expression. Moreover, LRCH1 inhibited migratory capacity of CD4+ T cells toward CXCL12 by PKCα. Conclusion: LRCH1 plays an important role in the pathogenesis of UC, possibly through modulating the migration of CD4+ T cells. Therefore, targeting LRCH1 might serve as a novel therapeutic approach in the management of UC.

Systematic analysis of multigene predictors in gastric cancer exploiting gene expression signature.

Gastric cancer (GC) is the second most common cause of cancer death worldwide but could be more curable if diagnosed at an earlier stage. At present, the capability to predict the efficaciousness of molecular diagnosis for GC for each patient remains elusive. The purpose of this study was to identify tumor biomarkers through systems analysis of multigene predictors exploiting the available data resource. In this study, we investigated the top 10% overexpressed genes in GC from five data sets of the Oncomine platform, with 265 GC samples versus 174 normal gastric mucosa samples. Sixteen candidate genes were identified as predictors of GC, of which 14 genes were verified through the comparison of expression levels in specimens from normal (chronic gastritis, 21 samples) and GC groups (38 samples). In addition, unique molecular portraits of diffuse adenocarcinoma (DA), intestinal adenocarcinoma (IA), and mixed adenocarcinoma (MA) were studied through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, where DA showed higher extracellular matrix alteration while IA and MA showed higher cell-cycle alteration than other types. We also found that the elevated expressions of genes during GC progression were independent of gene mutations, and high core-binding factor subunit ß expression is correlated with a high overall survival rate in GC patients. Our research may provide an efficient clinical diagnosis of GC at an early stage with high accuracy and thus help improve the overall survival rate through early therapeutic interventions.