Background: Gastric cancer (GC) is one of the high-risk cancers that lacks effective methods for prognosis prediction. Therefore, we searched for immune cells related to the prognosis of GC and studied the role of related genes in GC prognosis. Methods: In this study, we collected the mRNA data of GC from The Cancer Genome Atlas (TCGA) database and studied the immune cells that were closely related to the prognosis of GC. Spearman correlation analysis was performed to show the association between immune cell-related genes and the differentially expressed genes (DEGs) of GC. Univariate and multivariate Cox regression analyses were conducted on the immune cell-related genes with a high correlation with GC. A prognostic risk score model was constructed and the most significant feature genes were identified. Kaplan-Meier method was then used to compare the overall survival (OS) of patients with high-risk and low-risk, and receiver operating characteristic (ROC) analysis was used to assess the accuracy of the risk model. In addition, GC patients were grouped according to the median expression of the features genes, and survival analysis was further carried out. Results: It was noted that regulatory T cells (Tregs) were significantly correlated with the prognosis of GC, and 172 genes related to Tregs were found to be closely associated with GC. An optimal prognostic risk model was constructed, and a 5-gene (including LRFN4, ADAMTS12, MCEMP1, HP and MUC15) signature-based risk score was established. Survival analysis showed significant difference in OS between low-risk and high-risk samples. ROC analysis results indicated that the risk model had a high accuracy for the prognosis prediction of samples (AUC = 0.717). The results of survival analysis on each feature gene based on expression levels were consistent with the results of multivariate Cox analysis for predicting the risk rate of the 5 genes. Conclusion: These results proved that the 5-gene signature-based risk score could be used to predict the survival of GC patients, and these 5 genes were closely related to Tregs. These findings are of great significance for studying the role of immune cells and related immune factors in regulating the prognosis of GC.
The ERCC1 enzyme in the nucleotide excision repair (NER) pathway plays a vital role in DNA repair. Numerous epidemiological studies have evaluated the association between ERCC1 polymorphisms and the risk of colorectal cancer (CRC), with conflicting results. To evaluate the potential associations, we conducted a meta-analysis. Eligible studies were identified by searching electronic databases. The odds ratio (OR) and 95% confidence interval (CI) were applied to assess the associations between ERCC1 polymorphisms and CRC risk. The meta-analysis results revealed significant associations between ERCC1 rs3212986 and rs2298881 polymorphisms and CRC risk (rs3212986 GG vs CC: OR = 1.66, 95% CI = 1.13-2.44; CG vs CC: OR = 1.12, 95% CI = 0.82-1.55; the dominant model: OR = 1.21, 95% CI = 0.86-1.71; the recessive model: OR = 1.59, 95% CI = 1.09-2.31; rs2298881 CC vs. AA: OR = 2.04, 95% CI = 1.29-3.23; AC vs. AA: OR = 1.19, 95% CI = 0.91-1.56; the dominant model: OR = 1.33, 95% CI = 1.04-1.72; the recessive model: OR = 1.91, 95% CI = 1.22-3.00). However, no association with CRC risk was identified for ERCC1 polymorphisms rs11615 and rs2276466. In conclusion, these findings identified no association between rs11615 and rs2276466 polymorphisms and CRC susceptibility, but the data indicate that ERCC1 rs3212986 and rs2298881 polymorphisms may increase susceptibility to CRC. Large and well-designed studies are needed to further validate our findings.
The aim of the present study was to assess the association between the epithelial cadherin (CDH1) -160C/A polymorphism and colorectal cancer (CRC) using a meta-analysis. A literature search of PubMed, Embase, and Web of Science databases was performed for relevant studies. Statistical analyses were carried out using Stata 12.0 to combine all of the relevant studies. Odds ratio (OR) with 95% confidence interval (CI) values were applied to evaluate the strength of the association. Eight studies with 7231 cases and 7080 controls were included. The meta-analysis results showed that the CDH1 -160C/A polymorphism was significantly associated with CRC risk (AA vs. CC: OR = 0.98, 95% CI = 0.71-1.36; CA vs. CC: OR = 0.92, 95% CI = 0.86-0.99; dominant model: OR = 1.01, 95% CI = 0.81-1.26; recessive model: OR = 0.91, 95% CI = 0.81-1.02). In the subgroup analysis based on ethnicity, significant association was found between the CDH1 -160C > A polymorphism and CRC risk in Caucasians. In conclusion, the CDH1 -160C/A polymorphism may be a susceptible predictor for the risk of CRC in Caucasians.
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