Elucidation of the molecular targets and pathways regulated by the tumour-suppressive miRNAs can shed light on the oncogenic and metastatic processes in prostate cancer (PCa). Using miRNA profiling analysis, we find that miR-188-5p was significantly down-regulated in metastatic PCa. Down-regulation of miR-188-5p is an independent prognostic factor for poor overall and biochemical recurrence-free survival. Restoration of miR-188-5p in PCa cells (PC-3 and LNCaP) significantly suppresses proliferation, migration and invasion in vitro and inhibits tumour growth and metastasis in vivo. We also find overexpression of miR-188-5p in PC-3 cells can significantly enhance the cells' chemosensitivity to adriamycin. LAPTM4B is subsequently identified as a direct target of miR-188-5p in PCa, and is found to be significantly over-expressed in PCa. Knockdown of LAPTM4B phenotypically copies miR-188-5p-induced phenotypes, whereas ectopic expression of LAPTM4B reverses the effects of miR-188-5p. We also find that restoration of miR-188-5p can inhibit the PI3K/AKT signaling pathway via the suppression of LAPTM4B. Taken together, this is the first report unveils that miR-188-5p acts as a tumour suppressor in PCa and may therefore serve as a useful therapeutic target for the development of new anticancer therapy.

PURPOSE: To build and validate a radiomics-based nomogram for the prediction of pre-operation lymph node (LN) metastasis in esophageal cancer. PATIENTS AND METHODS: A total of 197 esophageal cancer patients were enrolled in this study, and their LN metastases have been pathologically confirmed. The data were collected from January 2016 to May 2016; patients in the first three months were set in the training cohort, and patients in April 2016 were set in the validation cohort. About 788 radiomics features were extracted from computed tomography (CT) images of the patients. The elastic-net approach was exploited for dimension reduction and selection of the feature space. The multivariable logistic regression analysis was adopted to build the radiomics signature and another predictive nomogram model. The predictive nomogram model was composed of three factors with the radiomics signature, where CT reported the LN number and position risk level. The performance and usefulness of the built model were assessed by the calibration and decision curve analysis. RESULTS: Thirteen radiomics features were selected to build the radiomics signature. The radiomics signature was significantly associated with the LN metastasis (P<0.001). The area under the curve (AUC) of the radiomics signature performance in the training cohort was 0.806 (95% CI: 0.732-0.881), and in the validation cohort it was 0.771 (95% CI: 0.632-0.910). The model showed good discrimination, with a Harrell’s Concordance Index of 0.768 (0.672 to 0.864, 95% CI) in the training cohort and 0.754 (0.603 to 0.895, 95% CI) in the validation cohort. Decision curve analysis showed our model will receive benefit when the threshold probability was larger than 0.15. CONCLUSION: The present study proposed a radiomics-based nomogram involving the radiomics signature, so the CT reported the status of the suspected LN and the dummy variable of the tumor position. It can be potentially applied in the individual preoperative prediction of the LN metastasis status in esophageal cancer patients.

Epithelial-to-mesenchymal transition (EMT) is an essential biological process that occurs in embryonic development, metastatic diseases, and cancer progression. Altered expression of glycans is known to be associated with cancer progression. No studies to date have presented global analysis of the precise variation of N-glycans in EMT. We describe here the profile of N-glycans and glycogene expression in the EMT process induced by transforming growth factor-β1 (TGFβ1) in a normal mouse mammary gland epithelial (NMuMG) cell model. An integrated strategy with a combination of mass spectrometry, glycogene microarray analysis, and lectin microarray analysis was applied, and results were confirmed by lectin histochemistry and quantitative real-time PCR. In TGFβ-induced EMT, levels of high-mannose-type N-glycans were enhanced, antennary N-glycans, and fucosylation were suppressed, and bisecting GlcNAc N-glycans were greatly suppressed. The expression of seven N-glycan-related genes was significantly changed. The products of glycogenes ALG9, MGAT3, and MGAT4B appeared to contribute to the observed alteration of N-glycans. The findings indicate that dysregulation of N-glycan synthesis plays a role in the EMT process. Systematic glycomic analysis based on the combination of techniques described here is expected to facilitate the discovery of the aberrant N-glycosylation in tumor progression and provide essential information in systems glycobiology.

The mechanisms whereby hepatic fibrosis develops in chronic liver diseases remain incompletely defined. Here, we sought to examine whether microRNA (miRNA) became dysregulated in dimethylnitrosamine‐induced hepatic fibrosis in rats. Our microarray analysis revealed that the miR‐34 family was upregulated along with other miRNAs in liver fibrotic tissues. Six miRNAs, such as rno‐miR‐878, were downregulated. The findings were confirmed by RT‐PCR assays. Gene ontology analysis further showed that many of these dysregulated miRNAs were involved in lipid/fatty acid metabolism. The acyl‐CoA synthetase long‐chain family member 1 (ACSL1) gene contained specific binding sites for miR‐34a/miR‐34c. Additional enhanced green fluorescence protein reporter activity assays indicated that the miR‐34 family targeted ACSL1. Our RT‐PCR and immunoblotting assays further demonstrated that both the mRNA and protein levels of ACSL1 were markedly reduced in fibrotic liver tissues. Our findings suggest that miRNA becomes dysregulated during hepatic fibrosis, and that the miR‐34 family may be involved in the process by targeting ACSL1.