Objective To investigate the expression of miR-92a in breast cancer tissues and whether it can influence the migration and invasion ability of breast cancer cells through kruppel-like factor 4 (KLF4). Methods ① The expressions of miR-92a and KLF4 mRNA in cancer tissues and adjacent tissues were detected by qRT-PCR in 122 breast cancer patients who were operated in our hospital from May 2017 to October 2019. ② The expression of miR-92a in MCF-7 breast cancer cells was up-regulated or knocked out. Cell survival rate was detected by MTT assay, cell migration ability was detected by scratch assay, cell invasion ability was detected by Transwell assay, and the relative expression levels of KLF4, E-cadherin (E-cad), and N-cadherin (N-cad) proteins were detected by Western blotting. ③ The targeting relationship between miR-92a and KLF4 was detected by dual luciferase reporter gene assay. Results ① The relative expression levels of miR-92a and KLF4 mRNA in cancer tissues were higher than those in adjacent tissues (P<0.05). ② The up-regulation of miR-92a expression had no effect on the survival rate of MCF-7 breast cancer cells, but the migration and invasion ability of cells were enhanced (P<0.05). The knockdown of miR-92a expression decreased the survival rate of MCF-7 breast cancer cells and the ability of cell migration and invasion (P<0.05). ③ The miR-92a and KLF4 had a direct targeting relationship, up-regulation of miR-92a expression increased the relative expression levels of KLF4 and N-cad proteins, while decreased the relative expression level of E-cad protein (P<0.05). After knockout of miR-92a expression, the relative expression levels of KLF4 and N-cad proteins were decreased, while the relative expression level of E-cad protein was increased (P<0.05). Conclusion The miR-92a is highly expressed in breast cancer cells, and knockout of miR-92a expression can inhibit KLF4 signaling pathway and reduce the migration and invasion ability of breast cancer cells.
In order to suppress the geometrical artifacts caused by random jitter in ray source scanning, and to achieve flexible ray source scanning trajectory and meet the requirements of task-driven scanning imaging, a method of free trajectory cone-beam computed tomography (CBCT) reconstruction is proposed in this paper. This method proposed a geometric calibration method of two-dimensional plane. Based on this method, the geometric calibration phantom and the imaging object could be simultaneously imaged. Then, the geometric parameters could be obtained by online calibration method, and then combined with the geometric parameters, the alternating direction multiplier method (ADMM) was used for image iterative reconstruction. Experimental results showed that this method obtained high quality reconstruction image with high contrast and clear feature edge. The root mean square errors (RMSE) of the simulation results were rather small, and the structural similarity (SSIM) values were all above 0.99. The experimental results showed that it had lower image information entropy (IE) and higher contrast noise ratio (CNR). This method provides some practical value for CBCT to realize trajectory freedom and obtain high quality reconstructed image.
Objective To explore the diagnostic value of circulating tumor cells (CTC) measured by magnetic nanoparticle method in lung cancer. Methods (1) We measured binding capability of A549 or NCI-H1965 cell lines with recognition peptide and capture efficiency by adding tumor cells into the whole blood of healthy human. (2) We measured CTC of 34 patients suspected with lung cancer, and the counting results of CTC were compared with the following pathological results. Results (1) The binding capability was 80.0%±6.0% for A549 and 70.1%±4.8% for H1957, while the capture efficiency was 57.3%±7.0% for A549 and 37.3%±6.1% for H1975. (2) CTCs were identified in 71.9% of patients with lung cancer. The specificity was 83.3%, and area under receiver operating characteristic (ROC) curve was 0.792 (P=0.003). Conclusion CTC measured by magnetic nanoparticle method has promising application in the diagnosis of lung cancer.
To improve the comprehensive and accurate of overviews of reviews, BMJ published the guideline for overviews of reviews of healthcare interventions: the PRIOR statement. This paper explained the background and core contents of PRIOR statement and interpreted each item with examples to provide references for domestic scholars to write overviews of reviews.
Objective To explore the efficacy of a novel detection technique of circulating tumor cells (CTCs) to identify benign and malignant lung nodules. Methods Nanomagnetic CTC detection based on polypeptide with epithelial cell adhesion molecule (EpCAM)-specific recognition was performed on enrolled patients with pulmonary nodules. There were 73 patients including 48 patients with malignant lesions as a malignant group and 25 patients with benign lesion as a benign group. There were 13 males and 35 females at age of 57.0±11.9 years in the malignant group and 11 males and 14 females at age of 53.1±13.2 years in the benign group. e calculated the differential diagnostic efficacy of CTC count, and conducted subgroup analysis according to the consolidation-tumor ratio, while compared with PET/CT on the efficacy. Results CTC count of the malignant group was significantly higher than that of the benign group (0.50/ml vs. 0.00/ml, P<0.05). Subgroup analysis according to consolidation tumor ratio (CTR) revealed that the difference was statistically significant in pure ground glass (pGGO) nodules 1.00/mlvs. 0.00/ml, P<0.05), but not in part-solid or pure solid nodules. For pGGO nodules, the area under the receiver operating characteristic (ROC) curve of CTC count was 0.833, which was significantly higher than that of maximum of standardized uptake value (SUVmax) (P<0.001). Its sensitivity and specificity was 80.0% and 83.3%, respectively. Conclusion The peptide-based nanomagnetic CTC detection system can differentiate malignant tumor and benign lesions in pulmonary nodules presented as pGGO. It is of great clinical potential as a noninvasive, nonradiating method to identify malignancies in pulmonary nodules.