acts was much lower than that in Tn-cell.Conclusion The expression of Tn,STn,T and ST antigen in gastric carcinoma tissues of different TNM stages is different.Tn antigen expression in tumor cells may be caused by the decrease of T-Synthase activity.

Objective To investigate the prevalence and attitude of smoking and its influencing factors among residents in Hongkou District of Shanghai, so as to provide evidence for tobacco control. Methods Nine hundred and sixty residents in Hongkou District of Shanghai aged 15 to 69 years were selected by multi-level random sampling, among whom 958 completed the investigations on smoking status. Results The smoking rate and standardized smoking rate were 20. 04% and 18. 73%, respectively. The smoking rate and standardized smoking rate of males were 41.05% and 30.07%, and those of females were 0. 80% and 1. 70% , respectively. The smoking rate of males was higher than that of females (RR = 0.02, 95% CI: 0.01 -0.03). The smoking rates of age groups of 25 years old and over were higher than those of 15 to 24 years old, and the smoking rate of subjects with or above junior college education was lower than that of subjects with or below middle school education (RR=0.45, 95% CI: 0.25 -0.79). Subjects who drank alcohol smoked more than those did not (RR = 2. 68, 95% CI: 1. 76 - 4.09). Lower annual per capita income and higher knowledge on smoking hazard led to more tendance to object to smoking and agree with anti-smoking. Conclusion The prevalence of smoking of residents aged 15 to 69 years in Hongkou District of Shanghai was relatively lower. Age, gender, education status and alcohol drinking were influencing factors of smoking. Education on tobacco control among subjects aged more than 35 years should be strengthened, and more attention should be paid to those with lower education. Besides, education on alcohol control should be managed together with tobacco control.

Objective:To investigate the effect of hemoglobin (Hb) volatility on cardiovascular prognosis in peritoneal dialysis (PD) patients.Methods:Retrospective cohort study was designed. Patients undergoing stable PD for more than 3 months and followed up regularly for at least 1 year were enrolled from May 1, 2013 to October 31, 2014 in the General Hospital of Ningxia Medical University. According to the Hb variation based on the mean changes in Hb standard deviation at 1 month, 3 months, 6 months, 12 months over baseline Hb, all patients were divided into low volatility group (≤10 g/L), moderate volatility group (>10-20 g/L) and high volatility group (>20 g/L), and baseline information were compared among these groups. Kaplan-Meier survival analysis and Cox regression equation were used to analyze the relationship between Hb variation and cardiovascular mortality and all-cause mortality. Besides, the patients were divided into qualified group (Hb≥110 g/L) and substandard group (Hb<110 g/L) by the Hb level at the study endpoint (cardiovascular death and all-cause death) according to KDIGO guidelines and relevant literature. Cox regression analysis was used to analyze the relationship between Hb variation and cardiovascular death in qualified group or substandard group. Multivariate linear regression analysis was used to analyze the related factors of Hb fluctuation in PD patients.Results:A total of 267 patients were enrolled. There were 160 males (59.93%) in this study. The age was (52.66±13.72) years old, and the median dialysis age was 37(21, 61) months. The patients' baseline Hb (before dialysis) was (80.16±14.89) g/L and at the end of the study Hb was (105.34±22.08) g/L. Body mass index and baseline Hb levels in the high volatility group were lower than those in low volatility group and moderate volatility group (all P<0.05). Both moderate and high volatility groups had lower estimated glomerular filtration rate than that in low volatility group, and high volatility group had higher urea nitrogen level than that in low volatility group (all P<0.05). The amount of erythropoietin usage in the high volatility group was higher than that in moderate volatility group ( P<0.05). The Kaplan-Meier survival analysis results showed that there was no significant difference in survival rate for all-cause death (Log-rank χ2=0.735, P=0.693) and cardiovascular death (Log-rank χ2=2.961, P=0.228) in different Hb volatility groups. Cox regression analysis showed that after adjusting for age, sex, serum creatinine, and blood albumin, higher Hb volatility was associated with a lower risk of cardiovascular death ( HR=0.972, 95% CI 0.947-0.999, P=0.040). After adjusting for related confounding factors, higher Hb volatility was still a protective factor for cardiovascular death in the substandard group ( HR=0.946, 95% CI 0.903-0.992, P=0.022), but there was no significant correlation between Hb fluctuation and all-cause death. Multivariate linear regression analysis results showed that the fluctuation level of Hb was positively correlated with Kt/V ( B=4.682, 95% CI 2.480-6.884, P<0.001) and erythropoietin dosages ( B=0.001, 95% CI 0-0.001, P=0.003), and negatively correlated with baseline Hb ( B=-0.554, 95% CI -0.651--0.457, P<0.001). Conclusions:High Hb variability is a protective factor for cardiovascular death in PD patients with lower Hb level (substandard Hb). Adopting a reasonable program to correct anemia timely to reach the standard level has a greater impact on reducing risk of cardiovascular death in PD patients than Hb variation in anemia treatment.