Aalami Amir Hossein, Abdeahad Hossein, Mesgari Mohammad, Sathyapalan Thozhukat, Sahebkar Amirhossein
Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Department of Nutrition and Integrative Physiology, Collogue of Health, University of Utah, Salt Lake City, UT, USA.
Biomed Res Int. 2021 Apr 27;2021:5557309. doi: 10.1155/2021/5557309. eCollection 2021.
Bladder cancer (BCa) is a common cancer in North America and Europe that carries considerable morbidity and mortality. A reliable biomarker for early detection of the bladder is crucial for improving the prognosis of BCA. In this meta-analysis, we examine the diagnostic role of the angiogenin (ANG) protein in patients' urine with bladder neoplasm.
We performed a systematic literature search using ScienceDirect, Web of Science, PubMed/MEDLINE, Scopus, Google Scholar, and Embase, up to 10 October 2020 databases. Meta-Disc V.1.4 and Comprehensive Meta-Analysis V.2.2 software calculated the pooled specificity, sensitivity, area under the curve (AUC), diagnostic odds ratio (DOR), positive likelihood ratio (LR), negative likelihood ratio (LR), index, and summary receiver-operating characteristic (SROC) for the role of ANG as a urinary biomarker for BCa patients.
Four case-control studies were included with 656 participants (417 cases and 239 controls) in this meta-analysis. The pooled sensitivity of 0.71 (95% CI: 0.66-0.75), specificity of 0.78 (95% CI: 0.73-0.81), LR of 3.34 (95% CI: 2.02-5.53), LR of 0.37 (95% CI: 0.32-0.44), DOR of 9.99 (95% CI: 4.69-21.28), and AUC of 0.789 and index of 0.726 demonstrate acceptable diagnostic precision of ANG in identifying BCa.
This meta-analysis showed that ANG could be a fair biomarker for the diagnosis of BCa patients.
膀胱癌(BCa)在北美和欧洲是一种常见癌症,具有相当高的发病率和死亡率。一种可靠的早期检测膀胱癌的生物标志物对于改善BCa的预后至关重要。在这项荟萃分析中,我们研究血管生成素(ANG)蛋白在膀胱肿瘤患者尿液中的诊断作用。
我们使用ScienceDirect、Web of Science、PubMed/MEDLINE、Scopus、谷歌学术和Embase对截至2020年10月10日的数据库进行了系统的文献检索。Meta-Disc V.1.4和Comprehensive Meta-Analysis V.2.2软件计算了ANG作为BCa患者尿液生物标志物的合并特异性、敏感性、曲线下面积(AUC)、诊断比值比(DOR)、阳性似然比(LR)、阴性似然比(LR)、 指数和汇总受试者工作特征(SROC)。
本荟萃分析纳入了四项病例对照研究,共656名参与者(417例病例和239例对照)。合并敏感性为0.71(95%CI:0.66 - 0.75),特异性为0.78(95%CI:0.73 - 0.81),LR为3.34(95%CI:2.02 - 5.53),LR为0.37(95%CI:0.32 - 0.44),DOR为9.99(95%CI:4.69 - 21.28),AUC为0.789, 指数为0.726,表明ANG在识别BCa方面具有可接受的诊断精度。
这项荟萃分析表明,ANG可能是诊断BCa患者的一种合理生物标志物。