Department of Ultrasound Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou City, China.
Department of Interventional Ultrasound, Xianyang Central Hospital, Xianyang City, China.
Genet Test Mol Biomarkers. 2020 Dec;24(12):777-788. doi: 10.1089/gtmb.2020.0078.
To evaluate the prognostic value of driver mutations in the , and genes in pancreatic cancer to aid in the design of therapeutic strategies. A systematic search was conducted using PubMed, MEDLINE, Springer, and Cochrane library to identify eligible studies published between January 1990 and June 2018 that reported an association between driver mutations in these genes and survival data. Articles which passed the primary screen were further scrutinized for the presence of all the following items: (1) cohort studies or case-control studies, evaluating the relationship between driver mutations and cancer; (2) cancer diagnoses clearly proved; and (3) hazard ratios (HR) and 95% confidence intervals (CIs) were characterized by sufficient information. Selection of included articles, data extraction, and methodological quality assessments were, respectively, conducted by two authors. The meta-analysis was composed of 17 studies on the , 8 on , 7 on , and 2 on , containing 3373 samples. Our pooled results demonstrated that the patients with overexpression of the (HR = 1.249, 95% CI = 1.003-1.554, = 0.047), (HR = 1.397, 95% CI = 1.015-1.922, = 0.040), (HR = 0.916, 95% CI = 0.583-1.439, = 0.704), and (HR = 1.68, 95% CI = 1.27-2.22, < 0.001) mutations all had poorer overall survival. This systematic review and meta-analysis supports the use of driver mutations in the , , and genes as prognostic markers for pancreatic cancer.
为了评估在胰腺癌中驱动基因突变 、 、 及 的预后价值,以便辅助治疗策略的制定。我们系统地检索了 PubMed、MEDLINE、Springer 和 Cochrane 图书馆,以查找自 1990 年 1 月至 2018 年 6 月期间发表的、评估这些基因的驱动突变与生存数据之间关系的合格研究。通过初步筛选的文章,进一步详细检查是否存在以下所有项目:(1)队列研究或病例对照研究,评估驱动突变与癌症之间的关系;(2)明确证实的癌症诊断;(3)具有足够信息特征的风险比(HR)和 95%置信区间(CI)。两位作者分别进行了纳入文章的选择、数据提取和方法学质量评估。Meta 分析由 17 项关于 、8 项关于 、7 项关于 、2 项关于 的研究组成,共包含 3373 个样本。我们的汇总结果表明,过表达 (HR=1.249,95%CI=1.003-1.554, = 0.047)、 (HR=1.397,95%CI=1.015-1.922, = 0.040)、 (HR=0.916,95%CI=0.583-1.439, = 0.704)和 (HR=1.68,95%CI=1.27-2.22, < 0.001)突变的患者总体生存率均较差。这项系统评价和 Meta 分析支持将 、 、 及 基因中的驱动突变用作胰腺癌的预后标志物。