Department of Biotechnology, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing 100850, China.
Department of Hematology, The Second Affiliated Hospital of Henan University of Chinese Medicine (The Henan Province Hospital of Traditional Chinese Medicine), 6 Dongfeng Road, Zhengzhou 450002, China.
Biomark Med. 2020 Feb;14(2):109-118. doi: 10.2217/bmm-2019-0247. Epub 2020 Feb 17.
To investigate whether cervical cancer (CC) and cervical intraepithelial neoplasia (CIN) can be screened by analyzing gene expression profiling of peripheral blood. RNA-sequencing analysis of blood was performed on 11 CC patients, 21 CIN patients and 19 healthy controls (H). Fifty-nine genes were validated by quantitative real-time PCR using blood samples from 46 H, 83 CC and 32 CIN patients. There were significant differences in the expression levels of six genes between CC and H, five genes between CIN and H and four genes between CC and CIN (p < 0.05). Four genes discriminated cervical lesions from H with a sensitivity of 82.61%, a specificity of 87.83% and an area under the curve of 0.8981. Three genes discriminated CC from CIN with a sensitivity of 53.13%, a specificity of 96.39% and an area under the curve of 0.7786. Our findings provided a promising noninvasive quantitative real-time PCR diagnostic assay of CC and CIN.
为了探讨是否可以通过分析外周血基因表达谱来筛查宫颈癌（CC）和宫颈上皮内瘤变（CIN）。对 11 例 CC 患者、21 例 CIN 患者和 19 例健康对照者（H）的血液进行 RNA 测序分析。使用来自 46 例 H、83 例 CC 和 32 例 CIN 患者的血液样本，通过定量实时 PCR 验证了 59 个基因。在 CC 和 H 之间、CIN 和 H 之间以及 CC 和 CIN 之间，有 6 个基因、5 个基因和 4 个基因的表达水平存在显著差异（p<0.05）。有 4 个基因能够以 82.61%的灵敏度、87.83%的特异性和 0.8981 的曲线下面积将宫颈病变与 H 区分开来。有 3 个基因能够以 53.13%的灵敏度、96.39%的特异性和 0.7786 的曲线下面积将 CC 与 CIN 区分开来。我们的研究结果为 CC 和 CIN 的非侵入性定量实时 PCR 诊断检测提供了有前景的方法。
