Objective To investigate the relationship between cyclooxygenase-2 (COX-2) gene polymorphism and genetic susceptibility to esophageal cancer. Methods The PubMed and EMbase databases were searched from the date of their establishment to January 1st, 2011 to collect the case-control studies on COX-2 polymorphism and susceptibility to esophageal cancer. For the population genotype distributions of both esophagus cancer group and control group, their odds ratios (ORs) and 95% confidence intervals (CIs) were taken as the effect indexes, either the fixed or random effect model was applied to conducted Meta-analysis in homozygote comparison, dominant and recessive genetic models, and the publication bias was assessed then. All statistical analyses were conducted with Stata11.0 software. Results A total of five case-control studies were included. The results of meta-analyses showed for the COX-2-765Ggt;C polymorphism, the CC+GC genotype was associated with the risk of esophageal cancer in a dominant genetic model (CC+GC vs. GG: OR=1.806, 95% CI 1.050 to 3.106); for the COX-2-1195Ggt;A polymorphism, the AA genotype was associated with the risk of esophageal cancer in homozygote comparison and recessive genetic models, the AA+GA genotype was associated with the risk of esophageal cancer in a dominant genetic model. Conclusion It is suggested that COX-2 polymorphism may be associated with genetic susceptibility to esophageal cancer.
ObjectiveTo investigate the clinical effect of 3D computed tomography bronchial bronchography and angiography (3D-CTBA) and guidance of thoracoscopic anatomic pulmonary segmentectomy by Mimics software system. MethodsA retrospective analysis was performed on patients who underwent thoracoscopic segmentectomy in the Department of Thoracic Surgery of Affiliated People's Hospital of Jiangsu University from June 2020 to December 2022. The patients who underwent preoperative 3D-CTBA using Materiaise's interactive medical image control system (Mimics) were selected as an observation group, and the patients who did not receive 3D-CTBA were selected as a control group. The relevant clinical indicators were compared between the two groups. ResultsA total of 59 patients were included, including 29 males and 30 females, aged 25-79 years. There were 37 patients in the observation group, and 22 patients in the control group. The operation time (163.0±48.7 min vs. 188.8±43.0 min, P=0.044), intraoperative blood loss [10.0 (10.0, 20.0) mL vs. 20.0 (20.0, 35.0) mL, P<0.001], and preoperative puncture localization rate (5.4% vs. 31.8%, P=0.019) in the observation group were better than those in the control group. There was no statistically significant difference in the thoracic tube placement time, thoracic fluid drainage volume, number of intraoperative closure nail bin, postoperative hospital stay, or postoperative air leakage incidence (P>0.05) between the two groups. ConclusionFor patients who need to undergo anatomical pulmonary segmentectomy, using Mimics software to produce 3D-CTBA before surgery can help accurately identify pulmonary arteriovenous anatomy, reduce surgical time and intraoperative blood loss, help to determine the location of nodules and reduce invasive localization before surgery, and alleviate patients' pain, which is worthy of clinical promotion.