1.The clinical significance of EGFR,PCNA,LN and type IV collagen expression in salivary adenoid cystic carcinoma
Guixia DU ; Fan ZHANG ; Xiuying HUO ; Liheng LI ; Ruiping LI ; Bo LIU ; Jiuhong ZHANG ; Rui BAI ; Xiufang ZHAO
Journal of Practical Stomatology 2014;(5):667-671
Objective:To investigate the clinical significance of epidermal growth factor receptor(EGFR),proliferating cell nuclear antigen(PCNA),laminin(LN)and type IV collagen expression in salivary adenoid cystic carcinoma(SACC).Methods:EGFR gene in 78 cases of SACC with complete clinical data was detected by fluorescence in situ hybridization(FISH)technique,the expression of EGFR,PCNA,LN and type IV collagen protein was detected by immunohistochemistry technique(IHC),their correlation with the clin-icopathological parameters was analysed by SPSS 13.00 software.Results:EGFR gene amplification levels(69.2%)was positively related to the ratio of EGFR protein positive expression(7 1 .8%),the expression of EGFR,PCNA,LN and type IV collagen was posi-tively related to the clinical pathological parameters(P<0.05).There was a positive correlation between EGFR and PCNA expression (P<0.05),a negative correlation between LN protein and type IV collagen protein expression(P<0.05).Conclusion:EGFR gene is amplified in SACC.EGFR,PCNA,LN and type IV collagen take part in the occurrence and development of SACC.
2.Efficacy and safety of agomelatine and SSRIs in the treatment of depressive disorder: a network Meta-analysis
Huihui GUO ; Zhongqiu ZHAO ; Ruiping HUO ; Feng JI
Sichuan Mental Health 2022;35(3):257-265
ObjectiveTo evaluate the efficacy and safety of agomelatin and selective serotonin reuptake inhibitors (SSRIs) in the treatment of depressive disorder via network Meta-analysis. MethodsThe literature databases such as China National Knowledge Network (CNKI), Wanfang Data Knowledge Service Platform, VIP Database for Chinese Technical Periodical (VIP), Chinese Biomedical Literature Database (CBM), PubMed, Embase and Cochrane Library were searched from the inception to November 2021. Based on the preset inclusion and exclusion criteria, literature screening, quality assessment of methodology and data extraction were conducted by two researchers separately, then statistical analysis was carried out using ADDIS software. ResultsA total of 7 256 patients with depressive disorder in 22 randomized controlled trials were included. According to the consistency assessed in Bayesian network Meta-analysis and the estimation of the probability of being the best treatment, escitalopram (P=0.63) ranked first for response rate and paroxetine (P=0.31) was associated with the best ranking for cure rate in terms of the effectiveness, meantime, paroxetine (P=0.44) had the highest adverse events risk and sertraline (P=0.74) had the highest study drop-outs proportion in terms of safety. ConclusionEscitalopram and paroxetine may be superior to sertraline, agomelatine, citalopram and fluoxetine in the treatment of depressive disorder, furthermore, paroxetine and sertraline demonstrate poor safety profiles.