No abstract

Lung adenocarcinoma (LUAD) is the most predominant subtype of non-small cell lung cancer (NSCLC) that is experiencing the fastest growth rate in incidence. Chemoresistance and the presence of cancer stem cells are considered to be the main obstacles preventing the successful treatment of patients with NSCLC, the molecular mechanism of which remains poorly understood. The present study aimed to investigate the effects of microRNA (miR)-140-3p on cisplatin sensitivity and stem cell-like properties of LUAD cells. Analysis of publicly available data demonstrated that miR-140-3p expression was downregulated in LUAD, and positively associated with the overall survival rate of patients. In addition, transfection with the miR-140-3p mimic reduced LUAD cell viability and induced apoptosis following treatment with cisplatin whilst decreasing stem cell-like properties. miR-140-3p overexpression was also found to attenuate cisplatin resistance and reduce stem cell-like properties in LUAD cells by suppressing Wnt/β-catenin signaling, all of which were reversed by the overexpression of β-catenin. Taken together, results of the present study suggest miR-140-3p to be an effective therapeutic strategy for patients with LUAD.

This study aimed to explore the application value of flexible nano-sensors with carbon nanotube (CNT) and graphene (Gr) in the ultrasound screening of congenital heart defects (CHD) in early pregnancy. The change of the sensitivity strain factor, mechanical properties, and resistance changes of the flexible nanosensor were analysed under different strains. The prenatal ultrasound diagnosis of early pregnancy 2640 pregnant women was selected as the research object. The nuchal translucency (NT) thickening value, blood flow spectrum of ductus venosus (DV), ductus venosus a (DVa) wave, and tricuspid regurgitation (TR) were measured under the ultrasound diagnosis. In addition, the sensitivity and specificity of different indicators in screening the cardiac malformations were compared. It was found that when the volume ratio of CNT:Gr was 1:5, the initial resistance of the sensor was the smallest; the resistance of the sensor was 2.75 KΩ˜4.68 KΩ when the strain was 1%; and the maximum frequency of the sensor was 0.25. NT+TR+DVa wave (DVa) combined diagnosis detected 8 cases of CHD, the sensitivity and specificity were 80% and 96.48%, respectively. The sensitivity of combined diagnosis of NT+TR+DVa was greatly higher than that of NT, DV and TR alone. It indicated that the flexible nano sensor based on CNT and Gr in this study showed good stability and durability, and high sensitivity in the diagnosis of fetal structure and cardiac malformations, which can provide reference value for the screening of fetal diseases in early pregnancy.

This work was aimed at analyzing the correlation between the methylation level of the M6A gene in esophageal cancer (EC) and the prognosis of patients based on bioinformatics technology and evaluating the prognostic predictive values of different data mining models. 80 EC patients and 80 healthy people were selected, and the serum of the patients was collected to detect the level of DNA methyltransferase. During the radical resection of EC, tumor tissues and adjacent normal tissues were collected from patients to detect the methylation level of the M6A gene. COX regression analysis was employed to analyze the independent risk factors (IRFs) of M6A gene methylation and other treatments affecting the prognosis of EC patients. The particle swarm optimization (PSO) algorithm was introduced to improve the fuzzy C -means clustering (FCM) algorithm. The differences in the prognostic prediction efficiency of logistic regression analysis (LRA), decision tree (DT) C5.0, artificial neural network (ANN), support vector machine (SVM), and improved FCM (IFCM) models were compared. The levels of DNA methyltransferase and human histone deacetylase 1 (HSD-1) in EC patients were increased greatly ( P < 0.05 ). The methylation rates and methylation levels of M6A methylation regulators (ALKBH5, HNRNPC, METTL3, WTAP, RBM15, YTHDC1, YTHDF1, and FTO) in EC tissues were obviously higher ( P < 0.05 ). The survival time of high-risk EC patients was much shorter than that of low-risk patients ( P < 0.05 ). Univariate and multivariate COX regression analysis showed that gender, tumor grade, TNM grade, degree of infiltration, and methylation of ALKBH5, HNRNPC, and METTL3 genes were IRFs for the prognosis of EC patients ( P < 0.05 ). The areas under the ROC curve (AUCs) of LRA, DT C5.0, ANN, SVM, and IFCM algorithms for predicting the prognosis of patients were 0.813, 0.857, 0.895, 0.926, and 0.958, respectively, and the IFCM model had the best diagnostic effect. In conclusion, the detection of bioinformatics technology showed no obvious DNA methylation in EC patients, and the elevated levels of M6A methylation regulators in patients were an IRF affecting the prognosis of patients. In addition, the fuzzy data mining model can be undertaken as the preferred method for prognosis prediction of EC patients.