MicroRNAs (miRNAs/miRs) are small non-coding RNAs that serve a post-transcriptional regulatory role in eukaryotes. Previous studies have demonstrated that the expression of miR-34a in colorectal cancer (CRC) tissues is decreased compared with that in normal colorectal tissues. However, the role of miR-34a in the invasion and metastasis of CRC remains unclear. In the present study, the levels of miR-34a expression were measured in various CRC cell lines. The cells were transfected with miR-34a mimics or inhibitors in order to assess the proliferation rate, and the colony forming, invasive and migratory abilities. Furthermore, the protein expression levels of vimentin and early growth response protein 1 (EGR1) were examined by western blot analysis. The results revealed that the expression of miR-34a was low in SW620, RKO, LoVo and Caco-2 cell lines and high in the SW480 and SW1116 cell lines. The migration, invasion and proliferation levels of SW480 cells were facilitated by decreasing the expression of miR-34a. Transient transfection with miR-34a mimics in SW620 cells caused a notable decrease in cell migration, invasion and proliferation levels compared with the control group, and a downregulation of vimentin and upregulation of EGR1 protein expression. The present study demonstrated that miR-34a was deregulated in a highly invasive CRC cell lines, and that it may attenuate the migratory, invasive and proliferative capabilities of CRC cells by enhancing the expression of EGR1 and inhibiting that of vimentin. The results of the present study represent important progress towards understanding the mechanisms of CRC recurrence and metastasis.
Objective. To explore the predictive value of mean platelet volume (MPV) and plasma N-terminal probrain natriuretic peptide (NT-ProBNP) combined with a simplified Geneva scale for the prognosis of acute pulmonary embolism (APE). Methods. The clinical data of 68 patients with APE admitted to our hospital from October 2017 to October 2019 were collected. According to the prognosis, the patients were divided into a good prognosis group (n = 45) and a poor prognosis group (n = 23). The clinical data, laboratory clinical indexes, and simplified Geneva scale scores were recorded for the two groups. The risk factors of poor prognosis were analyzed by binary multivariate logistic regression analysis; the predictive ability of each index on the prognosis of patients with APE was analyzed by the ROC curve. Results. The incidences of deep vein thrombosis, diabetes, and hyperlipidemia in the poor prognosis group were higher than those in the good prognosis group ( P < 0.05 ). PLT, platelet distribution width (PDW), MPV, and plasma NT-ProBNP in the poor prognosis group were higher than those in the good prognosis group ( P < 0.05 ). The simplified Geneva scale score of the poor prognosis group was higher than that of the good prognosis group ( P < 0.05 ). PDW, MPV, plasma NT-ProBNP, and simplified Geneva scale were all independent risk factors for the poor prognosis of APE patients ( P < 0.05 ). The AUC of MPV in predicting the prognosis of APE patients was 0.818 (95% CI: 0.712–0.925). When the optimal cutoff value was 0.571, the sensitivity was 77.1%, and the specificity was 80.0%. The AUC of plasma NT-ProBNP in predicting the prognosis of APE patients was 0.762 (95% CI: 0.634–0.891). When the optimal cutoff value was 0.475, the sensitivity was 71.5%, and the specificity was 76.0%. The AUC of the simplified Geneva scale in predicting the prognosis of APE patients was 0.749 (95% CI: 0.618–0.879). When the optimal cutoff value was 0.469, the sensitivity was 82.9%, and the specificity was 64.0%. The AUC of MPV and plasma NT-ProBNP combined with the simplified Geneva scale in predicting the prognosis of APE patients was 0.907 (95% CI: 0.826–0.988). When the optimal cutoff value was 0.726, the sensitivity was 88.6%, and the specificity was 84.0%. Conclusion. MPV, plasma NT-ProBNP, and simplified Geneva scale have a certain predictive value for the prognosis of APE. Compared with a single index, the combination of the three indexes has a significant improvement in predicting the prognosis of APE and has better clinical value.
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