Objective To observe the expression and localization of cellular homolog FLICE-like inhibitory protein (c-FLIP) in the procedure of benign biliary stricture formation and discuss the significances. Methods The method of in situ hybridization was used in anastomotic tissues from 15 dogs (experimental group) in 2, 3, 4, 5, 6 months after bile duct injury and 15 matching sham operation dogs (sham operation group) for analyzing the expression and localization of c-FLIP and calculating the average integrated optical density of each slice. Stain cells were counted under the magnification field (×400) and at least 5 fields per slice were examined. The cells stained red in the nuclei and (or) the cytoplasm were positive cells. The signals meant: Negative for cells no stained, weak positive for the cells with nuclei and (or) cytoplasm stained pink; b positive for the cells stained the bright red; while middle positive for the cells stained between the both. The image analysis software （Image pro plus 4.5） was applied in the gland tissue and interstitial tissue in each slice to calculate the average integrated optical density for the expression of c-FLIP. Results In the experimental group, there were all b positive expressions of c-FLIP in the interstitial tissue at all the time points, mainly expressed in the cytoplasm of fibroblast and very little or almost no expression in the glandular tissue. Positive expression of c-FLIP in the interstitial tissue was significantly ber than that of gland tissue (Plt;0.05); There were no significant differences among each time point in either the interstitial tissue or gland tissue (Pgt;0.05). In the sham operation group, there were all weak positive expressions of c-FLIP in the interstitial tissue and gland tissue at all the time points and was no significant difference (Pgt;0.05), no difference between each phase (Pgt;0.05). The expression of c-FLIP in the experimental group was significantly higher than that in the sham operation group in the interstitial tissue at all the time (Plt;0.05), while no significant that in the gland tissue (Pgt;0.05). Conclusion After bile duct injury, the expression of c-FLIP in anastomotic interstitial tissue is sustainable, by which the continuing obstruction effect to apoptosis may have a close relationship with the formation of biliary benign stricture.
Telomeres play an important role in maintaining genomic stability and cell life. Accumulating studies show that telomeres are closely related to human aging, cardiovascular diseases and cerebrovascular diseases. There are a series of researches about telomeres and atherosclerosis across the world, including studies on the relationship between atherosclerosis, cardiovascular diseases, cerebrovascular diseases and telomere length, and on telomere-targeted treatments for cardiovascular and cerebrovascular diseases. Telomeres may be a risk predictor or a new therapeutic target for atherosclerosis and cardiovascular diseases. This article reviews the relationship between telomeres and cardiovascular and cerebrovascular diseases, introduces the research progress of telomere length and cardiovascular diseases, cerebrovascular diseases, and the possible mechanisms of their association, aiming to provide a theoretical basis for exploring new therapeutic targets for atherosclerosis.
ObjectiveTo establish the gene-based esophageal cancer (ESCA) risk score prediction models via whole transcriptome analysis to provide ideas and basis for improving ESCA treatment strategies and patient prognosis.MethodsRNA sequencing data of esophageal squamous cell carcinoma (ESCC), esophageal adenocarcinoma (EAC) and adjacent tissues were obtained from The Cancer Genome Atlas database. The edgeR method was used to screen out the differential genes between ESCA tissue and normal tissue, and the key genes affecting the survival status of ESCC and EAC patients were initially identified through univariate Cox regression analysis. The least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis were used to further screen genes and establish ESCC and EAC risk score prediction models.ResultsThe risk score prediction models were the independent prognostic factors for ESCA, and the risk score was significantly related to the survival status of patients. In ESCC, the risk score was related to T stage. In EAC, the risk score was related to lymph node metastasis, distant metastasis and clinical stage. The constructed nomogram based on risk score showed good predictive ability. In ESCC, the risk score was related to tumor immune cell infiltration and the expression of immune checkpoint genes. However, this feature was not obvious in EAC.ConclusionThe ESCC and EAC risk score prediction models have shown good predictive capabilities, which provide certain inspiration and basis for optimizing the management of ESCA and improving the prognosis of patients.