Résumé
@# Objective: To investigate the effect of miR-135a on the malignant biological behaviors of human laryngeal carcinoma epithelial Hep-2 cells and its sensitivity to oxaliplatin. Methods: Samples of laryngeal carcinoma tissues and para-cancerous tissues were collected from 10 patients who underwent laryngectomy in Nanyang Hospital Affiliated to Zhengzhou University-Nanyang City Center Hospital from January 2018 to June 2018. The expression of miR-135a in laryngeal carcinoma tissues and Hep-2 cells was detected by qPCR.After being transfected with miR-135 inhibitor, cell proliferation viability of Hep-2 cells was measured by CCK-8 assay, cell colony formation ability was detected by colony formation assay, and cell proliferation invasion and migration abilities were detected by Transwell analysis, and the expression of SOX2 protein in Hep-2 cells was detected by WB. Hep-2 cells transfected with miR-135 inhibitor were further treated with various concentrations (0.5, 1.0, 1.5 and 2.0 μmol/L) of oxaliplatin, and the cell proliferation viability was detected by CCK-8 while cell apoptosis was detected by Annexin-V-FITC/PI double staining flow cytometry. miR-135a inhibitor plasmid, control pcDNA empty vector (SOX2-Con) plasmid, and pcDNA-SOX2 (SOX2-OE) plasmid were transfected into Hep-2 cells to construct the miR-135a inhibitor+SOX2-Con group and miR-135a inhibitor+SOX2-OE group, and the cell viability, cell colony formation ability, cell invasion and migration ability in two groups were detected. Results: Compared with para-cancerous tissues, miR135a expression in laryngeal cancer tissues was significantly increased (P<0.01). Compared with normal NHP cells, miR-135a expression in Hep-2 cells was significantly increased (P<0.01). miR-135a inhibitor significantly reduced the expression level of miR-135a in Hep-2 cells (P<0.01). miR-135a knockdown significantly reduced the cell proliferation viability, cell colony number, migration, invasion and SOX2 expression in Hep-2 cells (all P <0.01), but significantly enhanced the sensitivity of Hep-2 cells to oxaliplatin (P<0.01). Compared with miR-135a inhibitor+SOX2-Con group, the cell proliferation viability, cell colony number, migration and invasion of Hep-2 cells in miR-135a inhibitor+SOX2-OE group were significantly increased (P<0.01); Meanwhile, the cells of the 2 groups were treated with different concentrations of oxaliplatin, and the results of CCK-8 assay showed that, compared with the miR-135a inhibitor+ SOX2-Con group, the cell proliferation viability of Hep-2 cells in miR-135a inhibitor+SOX2-OE group was significantly increased (P< 0.01). Conclusion: miR-135a knockdown inhibits the malignant biological behaviors and promotes oxaliplatin-sensitivity of Hep-2 cells possibly by inhibiting the expression of the transcription factor SOX2.
Résumé
<p><b>OBJECTIVE</b>For heart functional parameters, we commonly used normal range. The reference values and predict formulas of heart functional parameters and their relationships with individual characteristics are still lack.</p><p><b>METHODS</b>Left ventricular (LV) volumes (end-diastolic volume and end-systolic volume), stroke volume (SV), ejection fraction (EF) and cardiac output (CO) were measured by cardiac CT angiography (CAT) in 1 200 healthy Caucasian volunteers, men 807 and women 393, and age 20-90yr. The results are analyzed by high-accuracy three-dimensional imaging technology, and then measured the dynamic changes of the volumes of each atriam and ventricule during their contractions and relaxations. The gender, age, height and weight were analyzed by multiple linear regression to predict LV functional parameters.</p><p><b>RESULTS</b>Except the LVEF was lower in man than in women (P < 0.001), all other LV functional parameters of EDV, ESV, SV, FE and CO were higher in man (P < 0.001). Multiple linear regression indicated that age, gender, height and weight are all independent factors of EDV, ESV and SV (P < 0.001). CO could be significantly predicted by age, gender and weight (P < 0.001), but not height (P > 0.05). The predict equation for CO (L x min(-1)) = 6.963+0.446 (Male) -0.037 x age (yr) +0.013 x weight (kg).</p><p><b>CONCLUSION</b>Age, gender, height and weight are predictors of heart functions. The reference values and predict equations are important for noninvasive and accurate evaluation of cardiovascular disease and individualized treatment.</p>