Immune cells contribute to determining the prognosis of gastric cancer. However, their exact role is less clear.We determined the prognostic significance of different immune cells in intratumoral tissue (T), stromal tissue (S), and adjacent normal tissue (N) of 166 gastric cancer cases and their interactions, including CD3+, CD4+, CD8+, CD57+, CD68+, CD66b+, and Foxp3+ cells, and established an effective prognostic nomogram based on the immune reactions.We found high densities of TCD3+, TCD4+, TCD8+, SCD3+, SCD4+, SCD57+, SCD66b+, and NFoxp3+ cells, as well as high TCD8+/SCD8+ ratio, TCD68+/SCD68+ ratio, TCD3+/TFoxp3+ ratio, TCD4+/TFoxp3+ ratio, TCD8+/TFoxp3+ ratio, SCD3+/SFoxp3+ ratio, and SCD4+/SCD8+ ratio were associated with better survival, whereas high densities of TCD66b+, TFoxp3+, SFoxp3+ and NCD66b+ cells as well as high TCD57+/SCD57+ ratio, TCD66b+/SCD66b+ ratio, SCD8+/SFoxp3+ ratio, and TFoxp3+/NFoxp3+ ratio were associated with significantly worse outcome. Multivariate analysis indicated that tumor size, longitudinal tumor location, N stage, TCD68+/SCD68+ ratio, TCD8+/TFoxp3+ ratio, density of TFoxp3+ cells, and TCD66b+/SCD66b+ ratio were independent prognostic factors, which were all selected into the nomogram. The calibration curve for likelihood of survival demonstrated favorable consistency between predictive value of the nomogram and actual observation. The C-index (0.83, 95% CI: 0.78 to 0.87) of our nomogram for predicting prognosis was significantly higher than that of TNM staging system (0.70).Collectively, high TCD68+/SCD68+ ratio and TCD8+/TFoxp3+ ratio were associated with improved overall survival, whereas high density of TFoxp3+ cells and TCD66b+/SCD66b+ ratio demonstrated poor overall survival, which are promising independent predictors for overall survival in gastric cancer.

ABSTRACT. Carcinogenesis of breast carcinoma is very complicated. Previous studies have suggested conflicting results regarding the association between Tyr113His and His139Arg microsomal epoxide hydrolase (mEH) gene polymorphisms and risk of breast carcinoma. We conducted a meta-analysis to examine the relationship between these polymorphisms and breast carcinoma risk. We searched the PubMed, EMBASE, and Google Scholar databases to identify relevant studies. After extracting relevant data, the association between mEH polymorphisms and susceptibility to breast carcinoma was examined by meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of the association. Seven studies were identified that included 6357 cases and 8090 controls. The mEH His-allele was not associated with the risk of breast carcinoma based on the allelic contrast model (OR = 0.99, 95%CI = 0.94-1.04, P = 0.58), dominant genetic model (OR = 1.14, 95%CI = 0.88-1.48, P = 0.33), or recessive genetic model (OR = 1.03, 95%CI = 0.96-1.10, P = 0.43). Similarly, the mEH Arg-allele was not associated with breast carcinoma risk based on the allelic contrast model (OR = 0.97, 95%CI = 0.91-1.04, P = 0.44), dominant genetic model (OR = 1.01, 95%CI = 0.84-1.21, P = 0.94), or recessive genetic model (OR = 1.04, 95%CI = 0.96-1.12, P = 0.35). Subgroup analysis based on ethnicity showed no association between the polymorphisms and risk of breast carcinoma. Thus, the Tyr113His and His139Arg mEH polymorphisms may not be risk factors for breast carcinoma.