Objective Our retrospective study was aimed to analyze the clinical value of serum CEA and CA19-9 in patients with chole-lithiasis.Methods The clinical data of 98 patients with cholelithiasis and 44 patients with inguinal hernia received treatment in our hospital from February 2011 to February 2015 were retrospectively analyzed.The expressive levels of CEA and CA19-9 of the patients were detected and compared.The important roles of CEA and CA19-9 in the patients with cholelithiasis were analyzed.Results The levels of CEA,CA19-9 and inflammatory factors in normal group and control group had no statistical differences (P>0.05).The levels of CEA,CA19-9 and inflam-matory factors in rising group were higher than those in control group (P<0.05).The levels of CEA,CA19-9,inflammatory factors before and after the treatment had no statistical differences (P>0.05),but the levels of CEA,CA19-9,inflammatory factors in rising group were obvi-ously decreased( P<0.05) .Conclusion The levels of CEA and CA19-9 in patients with cholelithiasis had correlation with inflammation of biliary tract,which will increased by severe choleithiasis.

Objective:To investigate the genetic characteristics of pancreatic cancer-associated diabetes mellitus (PCDM) and screen out the possible molecular markers for PCDM.Methods:The clinical data of pancreatic cancer (PC) cohort from The Cancer Genome Atlas (TCGA) were selected and collected, and the patients were divided into PCDM( n=11) and PC groups( n=109) according to whether the patients were diagnosed as diabetes within 2 years of PC diagnosis. Then, the mRNA microarray data of genome expression were extracted from TCGA PC cohort, and the differentially expressed genes (DEGs) were screened out by the " limma" package of R software based on (|log2 fold change|>2 and P<0.05). The functions of DEGs were revealed with gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Finally, a protein-protein interaction (PPI) network was constructed with the STRING database, and the hub genes were identified by the molecular complex detection (MCODE) module of Cytoscape software. Results:The analysis showed that among 20 531 genes, 47 genes were significantly upregulated, and 60 genes were significantly downregulated in the PCDM group. GO analyses revealed that 107 DEGs were mainly involved in the positive regulation of secretory function in terms of biological function (gene number=9, P<0.01); in the regulation of receptor function of molecular function (gene number=10, P<0.01); and in the intracavitary components of cytoplasmic microtubules of cellular components (gene number=8, P<0.01). The results of KEGG pathway enrichments revealed that DEGs mainly affected PCDM via cytokine interactions (gene number=8, P<0.01). Finally, five hub genes, including GNG8, CNR2, GALR2, CXCL13, and NPY2R, were identified for PCDM in PPI network analysis. Conclusions:The feature genes of PCDM are mainly different from PC in terms of secretion function, receptor function, cytoplasmic microtubule composition, and cytokine interaction. Five genes including GNG8, CNR2, GALR2, CXCL13, and NPY2R may become potential molecular markers for PCDM.