【Abstract】Objective To explore the application of RNA interference (RNAi) in colorectal cancer gene therapy. Methods The related literatures in recent years were reviewed. Results RNAi causes a high effective and distinctive degradation of mRNA homologous in sequence to the dsRNA. This new technology has been successfully applied to research the genesis and the growth of colorectal cancer.Conclusion RNAi has been a new focus in gene therapy for colorectal cancer.
ObjectiveTo summarize the experience of diagnosis and treatment on primary gastric lymphoma. MethodsThirtyseven patients, proved by pathology, were included in the study. ResultsAmong clinical presentation, the upper abdominal pain, intestinal bleeding, and weight loss were common. Only 4 cases were diagnosed as PGL in 33 cases with the examination of Xray barium meal, 88.5% ( 23 of 26 cases) were missdiagnosed as gastric ulcer under gastroscopy. All cases underwent operation, among them 33 had been performed a radical operation. The survival period was over 5 years in 12 of 25 patients who have been followed up. ConclusionThe multiple biopsy sampling from submucosal layer via gastroscope may improve diagnostic rate on primary gastric lymphoma. Operative removal of the tumor should be the first choice of treatment. Additional chemotherapy after the surgery increases the fiveyear survival rate.
The goal of JAGS (Just Another Gibbs Sampler) software is to remedy the short of BUGS software that unable to running on a system besides Microsoft Windows, such as Unix or Linux. JAGS owns independent computing function and formula of Bayesian theory; it is mischaracterized with simple user interface, good system compatibility, smoother operation, and good interactivity with other programming software. However, due to the limitations of lacking function for results data reading and unscrambling and graph plotting, the popularization and application of JAGS software is restricted. Calling JAGS software from R software through R2jags package, rjags package, or runjags package can overcome these limitations. The operating principle of these three packages is calling JAGS software in the framework of the R software, they have similar functional structure and all have easy maneuverability, concise command, perfect function of data reading and unscrambling and graph drawing; however, there are some differences among them in practice. This article introduces how to performing network meta-analysis by calling JAGS software from R through these three packages.
ObjectiveTo research the value of virtual reality (VR) technology in the preoperative planning of transtrochanteric curved varus osteotomy for avascular necrosis of the femoral head (ANFH) in adults.MethodsBetween June 2018 and November 2018, 7 patients (11 hips) with ANFH, who were treated with transtrochanteric curved varus osteotomy, were enrolled in the study. There were 4 males (7 hips) and 3 females (4 hips) with an average age of 31.9 years (range, 14-46 years). Among them, 3 patients were unilateral ANFH and 4 patients were bilateral ANFH. There was 1 patient (1 hip) of traumatic ANFH, 2 patients (4 hips) of alcohol-induced ANFH, 2 patients (3 hips) of hormonal ANFH, and 2 patients (3 hips) of idiopathic ANFH. All hips were Association Research Circulation Osseous (ARCO) stage Ⅲ. There were 5 hips for Japanese Investigation Committee (JIC) type C1 and 6 hips for type C2. There were 5 hips for China-Japan Friendship Hospital (CJFH) type L1,1 for type L2, and 5 for type L3. The disease duration ranged from 5 to 12 months (mean, 8 months). Preoperative Harris score was 53.91±7.66. The neck-shaft angle ranged from 128 to 143° (mean, 133.9°). VR technology was adopted for the preoperative planning. CT data were imported into the software to construct the morphology of necrotic area, and the transrtrochanteric varus osteotomy was simulated. The varus angle was designed according to the integrity rate of femoral head. The planned varus angle was 6 to 16° (mean, 9.7°). The transtrochanteric curved varus osteotomy was performed according to the preoperative planning, and the varus angle and loading area were confirmed under fluoroscopy. If the planned varus angle was too small, it would continue to increase under the fluoroscopy until a satisfactory varus angle. Postoperative changes of the neck-shaft angle were calculated and compared with the preoperative planned varus angle (error). The hip function was assessed by using the Harris score.ResultsAll incisions healed by first intention. All patients were followed up 6-11 months with an average of 8 months. The X-ray film at 2 days after operation showed that the neck-shaft angle was 112-135° (mean, 123.4°). The difference of the neck-shaft angle between pre- and post-operation was 6-16° (mean, 11.0°). Among them, the difference of the neck-shaft angle was consistent with planned varus angle in 5 hips, while the error of the remaining 6 hips was 1-4°. There was 1 patient (1 hip) of osteotomy nonunion at 4 months after operation, 1 patient (1 hip) of proximal femur fracture at 2 months after operation. The rest 5 patients (9 hips) obtained union at the osteotomy. At last follow-up, the Harris score was 82.18±16.35, showing significant difference when compared with preoperative score (t=–5.195, P=0.000).ConclusionVR technology is a brand-new preoperative planning method for transtrochanteric curved varus osteotomy in treating ANFH.
The WinBUGS software can be called from either R (provided R2WinBUGS as an R package) or Stata software for network meta-analysis. Unlike R, Stata software needs to create relevant ADO scripts at first which simplify operation process greatly. Similar with R, Stata software also needs to load another package when drawing network plots. This article briefly introduces how to implement network meta-analysis using Stata software by calling WinBUGS software.
【Abstract】Objective To investigate the effects of selective cyclooxygenase-2 (COX-2) inhibitor nimesulide on the proliferation of colon adenocarcinoma cells in vitro and the expression of matrix metalloproteinase-2 (MMP-2). Methods The human colon cancer cell lines HT-29 and HCT-116 were employed in the study, grouped as nimesulide group, DMSO control group and blank control group. After treatment with nimesulide, the inhibitory effect of nimesulide on the proliferation of cancer cells was quantified by MTT assay, and the expression of MMP-2 in the cells was detected by quantitative zymography. Results Nimesulide inhibited the proliferation of HT-29 and HCT-116 cells in time and dosedependent manners. The inhibitory effect on HT-29 cells was ber than that on HCT-116 cells. Nimesulide downregulated the MMP-2 expression in HT-29 cells, whereas the expression in HCT-116 cells remained unchanged. Conclusion Nimesulide can obviously inhibit the growth of colon cancer HT-29 cells with positive COX-2 protein, suggesting that nimesulide may downregulate the expression of MMP-2 by inhibiting the activity of COX-2.
Objective To systematically review the correlation between polymorphism of DNA methyltransferase 1(DNMT1) rs16999593 and the susceptibility of breast cancer. Methods Databases such as PubMed, EMbase, Web of Science, Chinese Biomedical Literature Database, CNKI, WanFang, and VIP database were searched from inception to Mar. 2017 to collect case-control studies on the correlation between DNMT1 rs16999593 C/T polymorphism and the susceptibility of breast cancer. Two reviewers independently identified the literatures according to inclusion and exclusion criterias, extracted data, and assessed the quality of the included studies. The meta-analysis was performed by using RevMan 5.3 software. Results A total of 5 studies involving 1 741 cases and 1 917 control subjects were included. The results of meta-analysis showed that, dominate model ［TT+TC vs. CC: OR=0.63, 95% CI was (0.30, 1.30), P=0.21］, homozygous model ［TT vs. CC: OR=1.01, 95% CI was (0.70, 1.47), P=0.95］, heterozygous model ［TC vs. CC: OR=0.44, 95% CI was (0.18, 1.04), P=0.06］, and additive model ［T vs. C: OR=1.29, 95% CI was (0.90, 1.86), P=0.16］ were not significantly related to breast cancer, but recessive gene model was related to breast cancer ［TT vs. TC+CC: OR=1.74, 95% CI was (1.01, 3.00), P=0.04］. Conclusion The current studies showed that, DNMT1 rs16999593 TT genotype decreases the susceptibility of breast cancer.
Stata is statistical software that combines programming and un-programming, which is easy to operate, of high efficiency and good expansibility. In performing meta-analysis, Stata software also presents powerful function. The mvmeta package of Stata software is based on a multiple regression model to conduct network meta-analysis, and it also processes "multiple outcomes-multivariate" data. Currently, the disadvantages of mvmeta package include relatively cumbersome process, poor interest-risk sorting, and lack of drawing function in the process of conducting network meta-analysis. In this article, we introduce how to implement network meta-analysis using this package based on cases.