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The ratio of serum PINP/PIIINP was lower in patients with recurrent inguinal hernia, demonstrating more serious damage of collagen metabolism in these patients. Serologic ratio of PINP/PIIINP may be used to identify the presence of recurrent inguinal hernia in patients.

Cholangiocarcinoma (CCA) has accounted for a high rate of mortality and morbidity in the recent years. Long non-coding RNAs (lncRNAs) play an important role in different cellular environments, including cancer. As such, they have been used as potential targets during CCA therapy. The objective of this study was to investigate the effects of lncRNA PVT1 on CCA and its mechanisms behind lncRNA PVT1 regulation. The interactions among SOX2, lncRNA PVT1, miR-186 and SEMA4D were verified by chromatin immunoprecipitation, RNA immunoprecipitation and dual luciferase reporter gene assay. Gain- and- loss-of-function experiments were conducted to explore the modulatory effects of SOX2, lncRNA PVT1, miR-186 and SEMA4D on cell viability, migration, and invasion of CCA by CCK-8 and Transwell assays. In vivo effects of lncRNA PVT1 or SEMA4D were studied in a nude mouse model. MiR-186 was poorly expressed while SOX2, lncRNA PVT1 and SEMA4D were highly expressed in CCA cells. SOX2 induced the transcriptional activation of lncRNA PVT1 expression to promote proliferation, migration, and invasion of CCA cells. LncRNA PVT1 bound to miR-186 and miR-186 was found to target SEMA4D. The overexpression of lncRNA PVT1 and SEMA4D, as well as the inhibition of miR-186 led to elevated CCA cell proliferation, migration, and invasion. In vivo experiments confirmed the inhibitory role of lncRNA PVT1 knockdown or SEMA4D knockdown in CCA. All in all, SOX2 downregulated miR-186 through the transcriptional activation of lncRNA PVT1, whereas elevating SEMA4D expression, thus promoting the progression of CCA.

Cholangiocarcinoma (CCA) is a common and lethal malignant tumor originating from bile duct epithelial cells. Various tumor biomarkers have been used for its clinical screening, such as carbohydrate antigen 19-9 and carcinoembryonic antigen. This study aimed to demonstrate the value of associated genes—CMT1A duplicated region transcript 15 (CDRT15) for prognosis of CCA by integrated bioinformatics analysis. We obtained CDRT15 expression data and clinical information on patients with CCA from The Cancer Genome Atlas database. Then, we processed the data by differentially expressed gene analysis, gene set enrichment analysis, statistical analysis, etc. Gene Ontology enrichment analysis was aimed to explore the function of gene-related proteins. Single-sample gene set enrichment analysis was used to analyze the correlation between CDRT15 and immune cells. Finally, we constructed the nomogram to predict the prognosis of patients with CCA. The analysis of data in The Cancer Genome Atlas database revealed that CDRT15 was overexpressed in CCA tissues. We performed the interrelation analysis of immune infiltration, showing that CDRT15 are mainly associated with the immune/inflammatory response. ROC curve showed that CDRT15 can be a diagnostic marker of CCA. Subsequently, the prognostic analysis showed that the high expression of CDRT15 was correlated with the poor OS, and patients with high CDRT15 expression may have a poor prognosis. CDRT15 is more highly expressed in CCA, thus we identified that CDRT15 could be an efficient biomarker for patients. CDRT15 expression was negatively correlated with prognosis of CCA. CDRT15 may be involved in the immune infiltration process of CCA.