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1.
International Journal of Biomedical Engineering ; (6)2017.
Article in Chinese | WPRIM | ID: wpr-606661

ABSTRACT

Objective To investigate the inhibitory effect of agonistic CD40 monoclonal antibody on the colon cancer cells (HCT116) proliferation in vitro.Methods The DCs (dendritic cells) loaded with tumor cells (HCT116) antigens were activated by different methods.According to the activation method,the cells were divided into three groups:agonistic CD40 monoclonal antibody group,blank control group and TNF-α positive control group.The cells were cultured for 7 days,and the expression rates of CD80,CD83,CD86 and HLA-DR on DC surface in each group were detected by flow cytometry.The concentration of cytokine IL-12(p70) in DCs culture supernatant was determined by ELISA kit.The proliferation activity of the T lymphocytes was evaluated by MTT (methyl thiazolyl tetrazolium).Then the inhibition rate of colon cancer HCT116 cells proliferation,which induced by the tumor-specific effector T lymphocytes,was assayed.Results Compared with the blank control group,the agonistic CD40 monoclonal antibody group had a significantly higher expression rates of CD80,CD83,CD86 and HLA-DR on DC surface (P<0.05).The concentration of IL-12 in the supernatant of DC was also much higher in the agonistic CD40 monoclonal antibody group (P<0.05,(716.80±53.43) pg/ml vs.(405.51 ±12.17) pg/ml).The DCs activated by CD40 monoclonal antibody had stronger ability to stimulate proliferation of T lymphocytes (P<0.05,the stimulation index was (2.006 2±0.438 3) to (1.365 0±0.209 8)).The tumor-specific CTLs induced by DCs in the agonistic CD40 monoclonal antibody group had stronger ability to inhibit colon cancer HCT116 cells (P<0.05,the inhibition rate was (66.08±0.41)% vs.(46.60± 1.10)%).However,there was no statistical significance between the agonistic CD40 monoclonal antibody group and the TNF-α positive control group (P>0.05).Conclusion Agonistic CD40 monoclonal antibody in vitro can promote activation and mature of DCs,then the activated DCs can induce the production of tumor-specific CTL,which can significantly inhibit the proliferation of colon cancer HCT116 cells.

2.
Chinese Journal of General Surgery ; (12): 89-91, 2015.
Article in Chinese | WPRIM | ID: wpr-468786

ABSTRACT

Objective To investigate the clinicopathological characteristics and prognosis in patients with node-negative gastric cancer.Methods Between January 2004 and December 2013,clinicopathological characteristics of 300 patients with node-negative gastric cancer who underwent radical gastrectomy in Tianjin Medical University General Hospital were retrospectively analyzed.Results The 1-,3-,and 5-year overall survival rates for patients with node-negative gastric cancer was 80%,69% and 63% respectively.The univariate analysis showed that tumor size,histologic type and depth of invasion had significant effects on the survival (P < 0.05).Multivariate analysis for these factors showed that tumor size (RR:1.800,95 % CI:1.120-2.891,P =0.015),histologic type (RR:1.982,95 % CI:1.291-3.042,P =0.002) and depth of invasion (RR:1.464,95% CI:1.213-1.767,P =0.000) were independent prognostic survival factors.Conclusions Tumor size,histologic type and depth of invasion are important prognostic factors of patients with node-negative gastric cancer.

3.
Chinese Journal of Oncology ; (12): 753-758, 2015.
Article in Chinese | WPRIM | ID: wpr-286730

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the clinical value of Physiologic Ability and Surgical Stress (E-PASS) and modified Estimation of Physiologic Ability and Surgical Stress (mE-PASS) scoring systems in predicting the mortality and surgical risk of gastric cancer patients, and to analyze the relationship between the parameters of E-PASS and early postoperative complications.</p><p><b>METHODS</b>Clinical data of 778 gastric cancer patients who underwent elective surgical resection in Tianjin Medical University General Hospital from Jan. 2010 to Jan. 2014 were analyzed retrospectively. E-PASS and mE-PASS scoring systems were used to predict the mortality of gastric cancer patients, respectively. Univariate and unconditioned logistic regression analyses were performed to assess the relationships between nine parameters of E-PASS system and early postoperative complications.</p><p><b>RESULTS</b>E-PASS and mE-PASS systems were used to predict the mortality in the death group and non-death group. The Z value was -5.067 and -4.492, respectively, showing a significant difference between the two groups (P<0.05). AUCs of mortality predicted by E-PASS and mE-PASS were 0.926 and 0.878 (P>0.05), and the prediction calibration of postoperative mortality showed statistically non-significant difference (P>0.05) between the E-PASS and mE-PASS prediction and actual mortality. Univariate analysis showed that age, operation time, severe heart disease, severe lung disease, diabetes mellitus, physical state index and ASA classification score are related to postoperative complications (P<0.05 for all). Unconditioned logistic regression analysis showed that severe lung disease, diabetes mellitus, ASA classification score and operation time are risk factors for early postoperative complications (P<0.05 for all).</p><p><b>CONCLUSIONS</b>Both mE-PASS and E-PASS scoring system have good consistency in the predicting postoperative mortality and actual mortality, and both are suitable for clinical application. Moreover, the mE-PASS scoring system is clinically more simple and convenient than E-PASS scoring system. Preoperative severe lung disease, diabetes mellitus, ASA classification score and operation time are independent factors affecting the early postoperative complications.</p>


Subject(s)
Humans , Age Factors , Area Under Curve , Diabetes Complications , Elective Surgical Procedures , Homeostasis , Lung Diseases , Operative Time , Postoperative Complications , Mortality , Postoperative Period , Predictive Value of Tests , Regression Analysis , Retrospective Studies , Risk Assessment , Methods , Risk Factors , Stomach Neoplasms , Mortality , General Surgery , Stress, Physiological
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