循环肿瘤细胞
上皮性卵巢癌
卵巢癌
医学
免疫磁选
肿瘤科
癌症
逻辑回归
接收机工作特性
癌症研究
卵巢肿瘤
内科学
生物
分子生物学
转移
作者
Jialing Ma,Runsheng Chen,Jing Ren,Tongping Zhou,Zhili Wang,Cheng Li,Lei Qiu,Tian Gao,Pi Ding,Zixin Ding,Li Ou,Jun Wang,Junji Xu,Zhirun Zhou,Chenguang Jia,Na Sun,Renjun Pei,Weipei Zhu
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-09-29
卷期号:8 (10): 3744-3753
被引量:1
标识
DOI:10.1021/acssensors.3c01063
摘要
Circulating tumor cells (CTCs) are valuable circulating biomarkers of cancer, which carry primary tumor information and may provide real-time assessment of tumor status as well as treatment response in cancer patients. Herein, we developed a novel assay for accurate diagnosis and dynamic monitoring of epithelial ovarian cancer (EOC) using CTC RNA analysis. Multiantibody-modified magnetic nanoparticles were prepared for purification of EOC CTCs from whole blood samples of clinical patients. Subsequently, nine EOC-specific mRNAs of purified CTCs were quantified using droplet digital PCR. The EOC CTC Score was generated using a multivariate logistic regression model for each sample based on the transcripts of the nine genes. This assay exhibited a distinguishing diagnostic performance for the detection of EOC (n = 17) from benign ovarian tumors (n = 30), with an area under the receiver operating characteristic curve (AUC) of 0.96 (95% CI = 0.91–1.00). Moreover, dynamic changes of the EOC CTC Score were observed in patients undergoing treatment, demonstrating the potential of the assay for monitoring EOC. In conclusion, we present an accurate assay for the diagnosis and monitoring of EOC via CTC RNA analysis, and the results suggest that it may provide a promising solution for the detection and treatment response assessment of EOC.
科研通智能强力驱动
Strongly Powered by AbleSci AI