Tang Shifu, Wei Lili, Sun Yifan, Zhou Fang, Zhu Shengbo, Yang Renqi, Huang Yiyong, Zhang Hongyu, Xu Hong, Yang Jianqing
Department of Laboratory Medicine, the Third Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi, China.
Department of Internal Medicine, the Third Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi, China.
PLoS One. 2016 Sep 16;11(9):e0163030. doi: 10.1371/journal.pone.0163030. eCollection 2016.
Many studies have reported that carbohydrate antigen 153 (CA153) in breast secretions (BS) can discriminate breast cancer (BC) patients from healthy individuals, indicating CA153 in BS as a potential index for BC. This meta-analysis aimed to evaluate the actual diagnostic value of CA153 in BS.
Related papers were obtained from Pubmed, Embase, Scopus, Ovid, Sciverse, the Cochrane library, Chinese Biomedical literature Database (CBM), Technology of Chongqing (VIP), Wan Fang Data, and Chinese National Knowledge Infrastructure (CNKI). Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) of CA153 in BS for BC diagnosis were analyzed with the random effect model. SROC and the area under the curve (AUC) were applied to assess overall diagnostic efficiency.
This meta-analysis included five studies with a total of 329 BC patients and 381 healthy subjects. For CA153 in BS, the summary sensitivity, specificity, and DOR to diagnose BC were 0.63 (95% confidence interval (CI): 0.57∼0.68), 0.82 (95% CI: 0.78∼0.86), and 9.18 (95% CI: 4.22∼19.95), respectively. Furthermore, the AUC of BS CA153 in the diagnosis of BC was 0.8614.
CA153 in BS is a valuable molecular marker in diagnosing BC and should be applied in standard clinical practices of BC screening upon confirmation of our findings in a larger prospective study.
许多研究报告称，乳腺分泌物（BS）中的糖类抗原153（CA153）可区分乳腺癌（BC）患者与健康个体，这表明BS中的CA153是BC的一个潜在指标。本荟萃分析旨在评估CA153在BS中的实际诊断价值。
从PubMed、Embase、Scopus、Ovid、Sciverse、Cochrane图书馆、中国生物医学文献数据库（CBM）、重庆维普（VIP）、万方数据和中国知网（CNKI）获取相关论文。采用随机效应模型分析BS中CA153用于BC诊断的合并敏感性、特异性和诊断比值比（DOR）。应用SROC曲线和曲线下面积（AUC）评估总体诊断效率。
本荟萃分析纳入了5项研究，共329例BC患者和381例健康受试者。对于BS中的CA153，诊断BC的汇总敏感性、特异性和DOR分别为0.63（95%置信区间（CI）：0.57∼0.68）、0.82（95%CI：0.78∼0.86）和9.18（95%CI：4.22∼19.95）。此外，BS中CA153诊断BC的AUC为0.8614。
BS中的CA153是诊断BC的一个有价值的分子标志物，在更大规模的前瞻性研究证实我们的发现后，应应用于BC筛查的标准临床实践中。
