期刊
TRANSLATIONAL ONCOLOGY
卷 11, 期 4, 页码 883-889出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.tranon.2018.05.001
关键词
-
类别
资金
- NCI [R21CA205746]
- VA Merit Award [I01 CX000512]
- Geaton and JoAnn DeCesaris Family Foundation
- UMD-UMB Research and Innovation Seed Grant
- DoD-Idea Development Award
- Maryland Innovation Initiative (MII) Commercialization Program-Phase 1/2 Grant
Cell-free microRNAs in plasma provide circulating biomarkers for lung cancer. Most techniques for analysis of miRNAs require a large plasma volume to purify a sufficient RNA yield followed by complicated downstream processing. Small differences in the multiple procedures often cause large analytical variations and poor diagnostic values of the plasma biomarkers. Here we investigate whether directly quantifying plasma miRNAs without RNA purification could diagnose lung cancer. FirePlex assay was directly applied to 20 mu l plasma of 56 lung cancer patients and 28 cancer free controls for quantifying 11 lung tumor-associated miRNAs. FirePlex assay is easier, less expensive and time-consuming for quantification of plasma miRNAs compared with conventional reverse transcription PCR with an equivalent analytic performance. From the lung tumor-associated miRNAs, a prediction model based on two miRNAs (miRs-205-5p and -210-3p) was developed, producing 78.6% sensitivity and 89.3% specificity for identifying lung cancer. The diagnostic value was independent of stage of lung tumor, and patients' age and sex (all P > 0.05). Furthermore, based on the same two miRNAs, additional prediction models were developed with 75.0% sensitivity and 89.3% specificity for diagnosis of lung squamous cell carcinoma, and 82.2% sensitivity and 89.3% specificity for lung adenocarcinoma. The direct plasma assay can improve the efficacy of miRNA assessment in a small plasma volume by reducing multiple procedure-associated analytical variables. The developed plasma miRNA biomarkers might be useful for the early detection and histological classification of lung cancer.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据