Skip to main content
Download PDF
- Main
Evaluation of a novel saliva‐based epidermal growth factor receptor mutation detection for lung cancer: A pilot study
- Pu, Dan;
- Liang, Hao;
- Wei, Fang;
- Akin, David;
- Feng, Ziding;
- Yan, QingXiang;
- Li, Yin;
- Zhen, Yan;
- Xu, Lin;
- Dong, Gaochao;
- Wan, Huajing;
- Dong, Jingsi;
- Qiu, Xiaoming;
- Qin, Changlong;
- Zhu, Daxing;
- Wang, Xi;
- Sun, Tong;
- Zhang, Wenbiao;
- Li, Canjun;
- Tang, Xiaojun;
- Qiao, Youlin;
- Wong, David TW;
- Zhou, Qinghua
- et al.
Abstract
Background
This article describes a pilot study evaluating a novel liquid biopsy system for non-small cell lung cancer (NSCLC) patients. The electric field-induced release and measurement (EFIRM) method utilizes an electrochemical biosensor for detecting oncogenic mutations in biofluids.Methods
Saliva and plasma of 17 patients were collected from three cancer centers prior to and after surgical resection. The EFIRM method was then applied to the collected samples to assay for exon 19 deletion and p.L858 mutations. EFIRM results were compared with cobas results of exon 19 deletion and p.L858 mutation detection in cancer tissues.Results
The EFIRM method was found to detect exon 19 deletion with an area under the curve (AUC) of 1.0 in both saliva and plasma samples in lung cancer patients. For L858R mutation detection, the AUC of saliva was 1.0, while the AUC of plasma was 0.98. Strong correlations were also found between presurgery and post-surgery samples for both saliva (0.86 for exon 19 and 0.98 for L858R) and plasma (0.73 for exon 19 and 0.94 for L858R).Conclusion
Our study demonstrates the feasibility of utilizing EFIRM to rapidly, non-invasively, and conveniently detect epidermal growth factor receptor mutations in the saliva of patients with NSCLC, with results corresponding perfectly with the results of cobas tissue genotyping.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
For improved accessibility of PDF content, download the file to your device.
If you recently published or updated this item, please wait up to 30 minutes for the PDF to appear here.
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Page Size:
-
Fast Web View:
-
Preparing document for printing…
0%