ABSTRACT
@#[Abstract] Objective: To explore the regulatory effect of lncRNA maternal imprinting gene 3 (MEG3) on proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) of cervical cancer cells via miR-9-5p/SOCS5 axis. Methods: A total of 20 pairs of cancer and para-cancerous tissue specimens resected from cervical cancer patients in Chongqing Hospital of Traditional Chinese Medicine from January 2017 to June 2019 were collected for this study. Using liposome transfection technology, pcDNA3.1-MEG3,si-MEG3, miR-9-5p mimics, miR-9-5p inhibitor and their control plasmids were transfected into cervical cancer HeLa and SiHa cells respectively to construct overexpression and silence cell model. qPCR was used to detect the expression levels of MEG3, miR-9-5p and SOCS5 in cervical cancer tissues and cell lines. CCK-8 method and Transwell chamber method were used to detect cell proliferation, migration and invasion ability. The expression levels of E-cadherin and vimentin in cells were detected by cellular immunofluorescence experiments. Target genes were predicted through the Online Bioinformatics TargetScan database. Dual luciferase reporter gene assay was used to verify the targeting relationship between miR-9-5p and MEG3, SOCS5, respectively. Results: Compared with para-cancerous tissues and cervical epithelial HcerEpic cells, the expressions of MEG3 and SOCS5 were significantly down-regulated and the expression of miR-9-5p was significantly up-regulated in cervical cancer tissues and cell lines (all P<0.01). TargetScan database analysis and Dual luciferase reporter gene assay confirmed the targeting relationship between miR-9-5p and MEG3 or SOCS5. MEG3 and SOCS5 significantly inhibited while miR-9-5p significantly promoted cell proliferation, migration and invasion ability (all P<0.01). MEG3 and SOCS5 promoted E-cadherin expression and inhibited vimentin expression, while miR-9-5p inhibited E-cadherin expression and promoted vimentin expression (P<0.05 or P<0.01). Conclusion: lncRNA MEG3 regulates proliferation, migration, invasion and EMT of cervical cancer cells via miR-9-5p/SOCS5 axis.
ABSTRACT
OBJECTIVE： To investigate the effects of new mode of medical orders evaluation according to disease classification. METHODS： Totally 16 kinds of common diseases were selected from each department of our hospital. Each 10 electronic medical records of each disease were randomly selected from 160 patients in the hospital information system from Jan. 1 to Dec. 31， 2016. The rationality of 10 720 medical orders were evaluated retrospectively during hospitalization. Statistical analysis was made on the relevant indicators such as unsuitable usage and dosage， the proportion of auxiliary drugs and unsuitable indications in medical orders of irrational drug use， and a new mode of prescription comment was established according to the classification of diseases. 9 862 medical orders of same disease types were collected after the implementation （from Apr.-May， 2017） of new mode and intervene to evaluate the irrational rate of them so as to evaluate the effects of new mode. RESULTS： In the samples in 2016， a total of 751 medical orders of irrational drug use were evaluated， the most of them were unsuitable usage and dosage （414 items， 55.12％）， especially in the intracerebral hemorrhage diseases （69 items， 16.67％）； under this kind of disease， most of irrational drug use was excessive dosage of single dosing （31 items， 44.92％）. The top three disease types in the list of the ratio of adjuvant drug cost in total drug cost were surgery for renal tumors （39.43％）， acute cerebral infarction （non-surgery） （37.03％） and intervertebral disc herniation surgery （35.26％）. 70 medical orders of irrational drug use were unsuitable indications （9.32％）. After the application of evaluation mode according to classification of disease types and intervene， the irrational rate of medical orders decreased from 7.00％ （751/10 720） before evaluation to 2.95％ （291/9 862）after evaluation， decreasing by 57.86％. CONCLUSIONS： The application of evaluation mode according to classification of disease types can achieve good results in controlling the irrational rate of medical orders and contribute to rational drug use in clinic.
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate the status and risk factors for the misdiagnosis of femoral head osteonecrosis, providing the basis for accurate diagnosis of osteonecrosis of femoral head.</p><p><b>METHODS</b>The data of 314 hospitalized patients were collected from March 2015 to March 2016, and the risk factors for osteonecrosis of femoral head were analyzed by Logistic regression model. Misdiagnosis was defined that the diagnosis given on the first time was different from that on the second time or that given by expert group with the same symptoms and signs. The general data, predisposing factors, time of onset, hospital visits, clinical manifestations, X-ray film of hip joint, MRI and other data were statistically analyzed.</p><p><b>RESULTS</b>Total 127 patients experienced misdiagnosis (up to 40.8%). Among them, the patients with osteonecrosis of femoral head misdiagnosed as other diseases accounted for 77.2% and the patients with other diseases misdiagnosed osteonecrosis of femoral head accounted for 22.8%. Statistical analysis showed that the predisposing factors, history of glucocorticoid and alcohol intake, diseased lower limb, pained lower limb, hidden disease attack, the level of first reception hospital and expert were significantly related with the misdiagnosis of femoral head osteonecrosis based on the logistic regression model (<0.05) . The relationship between misdiagnosis and gender, age, primary disease taking glucocorticoid, approach and time of glucocorticoid use, the type of alcohol, drinking time had no statistical significance(>0.05). The Logistic regression analysis showed that the hidden disease attack(OR=3.059) and level of first reception expert(OR=2.778) were the high risk factors associated with the misdiagnosis in which the femoral head necrosis was misdiagnosed as other diseases(<0.01), and glucocorticoid intake history was the low risk factors(OR=0.387)(<0.05). The Logistic regression analysis showed that the level of first reception expert (OR=3.573) was the high risk factor associated with the misdiagnosis in which the other diseases were misdiagnosed as necrosis of femoral head.</p><p><b>CONCLUSIONS</b>Misdiagnosis rate of femoral head necrosis is high. Hidden disease attack and low level of first reception expert are the high risk factors associated with the misdiagnosis in which the femoral head necrosis was misdiagnosed as other diseases, however, glucocorticoid intake history is the protective factor of misdiagnosis. Low level of first reception expert is the high risk factor associated with the misdiagnosis in which other diseases were misdiagnosed as necrosis of femoral head.</p>