Bmi1与胃癌关系的Meta分析

发布时间：2018-07-04 23:45

本文选题：Bmi1 + 胃癌　；参考：《苏州大学》2016年硕士论文

【摘要】：目的:B细胞特异的莫洛尼鼠白血病毒插入位点1基因(B cell-specific Moloney murine leukemia virus integration site 1,Bmi1)目前被认为是肿瘤干细胞的生物标志物之一。在胃癌中,过表达的Bmi1会表现出更强的肿瘤侵袭行为。这篇Meta分析的目的是阐明Bmi1在胃癌患者中的预测作用及与胃癌相关的临床病理参数之间的关系。方法:我们对Pubmed数据库、Springer数据库、Embase数据库和ScienceDirect数据库进行了全面的文献检索。搜索截止日期为2014年9月。我们对符合要求的相关文献进行了Meta分析,以评估Bmi1的表达与胃癌患者的预后及胃癌相关的临床病理参数之间的关系。整体比值比(odds ratio,OR)及95%可信区间(confidence interval,CI,95%CI)被用来评估Bmi1表达与胃癌潜在的临床病理参数之间的关系。相对风险度(relative ratio,RR)及95%CI被用来评估Bmi1表达和胃癌总体生存率(overall survival,OS)之间的关系。Q检验及其P值被用来检测纳入文献相关参数的异质性。Begg检验及其P值用来检测纳入文献的发表偏倚。敏感性分析用来检测任意一篇纳入文献是否对本研究的整体结果有影响。结果:通过相关的数据库检索,共有6篇文献被纳入本研究中。我们的研究结果显示Bmi1表达与性别(OR=0.87,95%CI=0.66-1.14,P=0.319,固定效应模型)、年龄(OR=1.22,95%CI=0.95-1.59,P=0.126,固定效应模型)和组织分型(OR=1.15,95%CI=0.71-1.86,P=0.582,随机效应模型)无明显相关性。但是,Bmi1的高表达与临床分期(OR=3.04,95%CI=1.31-7.07,P=0.010,随机效应模型)、肿瘤大小(OR=2.01,95%CI=1.14-3.55,P=0.016,随机效应模型)、T分期(OR=2.79,95%CI=1.94-4.03,P0.001,固定效应模型)、淋巴结转移(OR=2.24,95%CI=1.47-3.39,P0.001,随机效应模型)和远处转移(OR=5.05,95%CI=1.29-19.70,P=0.020,随机效应模型)有显著相关性。另外,高表达Bmi1的胃癌患者往往提示较差的总体生存率(RR=3.38,95%CI=2.43-4.69,P0.001,固定效应模型)。结论:Bmi1影响胃癌患者的临床分期、肿瘤大小、T分期、淋巴结转移、远处转移及总体生存率。这些结果提示Bmi1可以作为一个新的有效预测胃癌的分子标记物,并且为胃癌的治疗提供了潜在的分子靶点。
[Abstract]:Objective the B cell-specific Moloney murine leukemia virus integration site 1 (Bmi1) gene, which is specific to B cells, is considered to be one of the biomarkers of tumor stem cells. In gastric cancer, overexpression of Bmi1 is associated with stronger tumor invasion. The purpose of this meta-analysis was to clarify the predictive role of Bmi1 in gastric cancer patients and the relationship between Bmi1 and clinicopathological parameters associated with gastric cancer. Methods: we carried out a comprehensive literature retrieval of Pubmed database, Springer database, Embase database and ScienceDirect database. The search deadline is September 2014. Meta-analysis was performed to evaluate the relationship between Bmi1 expression and prognosis and clinicopathological parameters of gastric cancer patients. Odds ratioor and 95% CI were used to evaluate the relationship between Bmi1 expression and potential clinicopathological parameters of gastric cancer. Relative risk (RR) and 95 CI were used to evaluate the relationship between Bmi1 expression and the overall survival rate of gastric cancer (overall survival OS). Q test and P value were used to detect the heterogeneity of the parameters included in the literature. Begg test and P value were used to detect the publication bias of the included literature. Sensitivity analysis was used to determine whether any of the articles included had an impact on the overall results of the study. Results: a total of 6 articles were included in this study. Our results showed that there was no significant correlation between Bmi1 expression and sex (ORO 0.87 ~ 95CII 0.66-1.14 Pu 0.319, fixed effect model), age (ORA 1.2295 CI 0.95-1.59PHu 0.126, Fixed-effect model) and tissue typing (OR1.1595CI0.71-1.86CI0.71-1.86Ph 0.582, random effect model). The results showed that there was no significant correlation between Bmi1 expression and sex (OR1.2295CI0.95-1.59Ph 0.126, fixed effect model) and tissue typing (OR1.1595CI0.71-1.86Pu 0.582, random effect model). But the high expression of Bmi1 was significantly correlated with clinical stage (OR3.04-7.07CII 1.31-7.07P0.010, random effect model), tumor size (OR2.0195CI1.14-3.55CI1, stochastic effect model) T stage (OR2.795CI1.94-4.03P0.001, fixed effect model), lymph node metastasis (OR2.2495CII 7-1.43.399P0.001, random effect model) and distant metastasis (OR5.095CI1 1.29-19.70P0.020, stochastic effect model). In addition, high expression of Bmi1 in gastric cancer patients often suggested a poor overall survival rate (RRN 3.3895% CI 2.43-4.69 P0.001, fixed effect model). Conclusion the clinical stage, tumor size and T stage, lymph node metastasis, distant metastasis and overall survival rate of patients with gastric cancer were affected by Bmi1. These results suggest that Bmi1 may be a new molecular marker for the prediction of gastric cancer and provide a potential molecular target for the treatment of gastric cancer.
【学位授予单位】：苏州大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R735.2

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