OBJECTIVETo define the clinicopathological risk factors of intravesical recurrence of primary transitional cell carcinoma of the ureter after surgical intervention.

METHODSPatients with primary carcinoma of the ureter treated between January 2000 and December 2010 were retrospectively analyzed. The intravesical recurrence-free survival rate was calculated using Kaplan-Meier method. Multivariate analysis was conducted with Cox's regression.

RESULTSA total of 104 patients were enrolled, who were followed up for a median of 46 months (13-89 months). Thirty-nine of the patients showed postoperative intravesical recurrence. Urine exfoliative cytology (P=0.000), number of tumors (P=0.006), tumor grade (P=0.039) and co-existence of bladder tumor (P=0.014) were found to independently influence the postoperative intravesical recurrence. Patients with more risk factors had poorer intravesical recurrence-free survival.

CONCLUSIONUrine exfoliative cytology, number of tumors, tumor grade and co-existence of bladder tumor are independent risk factors for postoperative intravesical recurrence of primary transitional cell carcinoma of the ureter. Close follow-up and rigorous treatment are essential for patients with high risk factors.

Adult ; Aged ; Carcinoma, Transitional Cell ; pathology ; surgery ; Causality ; Female ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Regression Analysis ; Retrospective Studies ; Risk Factors ; Ureteral Neoplasms ; pathology ; surgery ; Urinary Bladder Neoplasms ; pathology

Objective To explore the potential mechanism of Jiangzhihugan capsule (JZHG) for fatty liver (FL), and to provide a theoretical guideline for the clinical application of JZHG. Methods TCMSP and TCMID databases were used to search for the active components and targets of JZHG. GeneCards and OMIM database were used to search the FL related targets. The intersection method was used to identify the common targets of JZHG and FL. Cytoscape software was applied for the construction of active compounds-targets network map. Protein-protein interaction network was constructed by STRING software. Gene ontology functional enrichment analysis and KEGG pathway enrichment analysis were conducted with Bioconductor database and R software. Results 46 potential active components were screened out from JZHG. 7406 targets were retrieved through GeneCard and OMIM database. 118 genes were obtained from the intersection of component-target and disease-target. These genes were mainly involved with the response to oxidative stress, apoptosis, inflammatory response, hormone resistance and other biological processes. The mechanism was related to PI3K-Akt signaling pathway, human cytomegalovirus infection, microRNAs in cancer, etc. Conclusion The mechanism of active ingredients for FL in JZHG may be due to improving lipid metabolism and reducing liver fat accumulation through anti-oxidative stress and anti-inflammatory effects.

Objective To explore the molecular targets and associated potential pathways of Kunxian capsule in the treatment of rheumatoid arthritis (RA) based on network pharmacology. Methods The constituents of Kunxian capsule were searched by Traditional Chinese Medicine Systems Pharmacology Database, Analysis Platform (TCMSP) and a high-throughput experiment- and reference-guided database of traditional Chinese medicine（HERB）.The potential active ingredients and targets were retrieved based on TCMSP database. RA related gene targets were retrieved through GeneCards database and OMIM database. Venn online software was used to obtain the common target of drugs and diseases. The “compound-target” network diagram was constructed with Cytoscape software. String database was used to draw the protein interaction (PPI) network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the intersection network were conducted by Bioconductor Database. Results 81 active ingredients and 913 targets were identified. 228 targets were obtained after removing the duplicates. 4494 target genes directly related to RA were obtained from the GeneCards databases and OMIM databases. 162 genes were obtained from the intersection of component-target and disease-target. It was revealed that five ingredients including quercetin, luteolin, kaempferol, β-sitosterol and triptolide are the main active ingredients in Kunxian capsule. AKT1, IL-10, STAT3, CASP8 and CDKN1A may be the main therapeutical targets. The results of GO and KEGG enrichment analysis showed that the mechanism of Kunxian capsule is mainly related to the regulation of reactive oxygen metabolism, the regulation of kinase activity, and IL-17 signaling pathway. The important biological processes and signaling pathways include infection, inflammation and immunity. Conclusion This research preliminarily explored the mechanism of Kunxian capsule in the treatment of RA by network pharmacology and suggested that the overall regulation is characterized by multi-components, multi-targets, and multi-channels. It provided some ideas for further molecular biology experiments.