| Title: | VOC biomarkers identification and predictive model construction for lung cancer based on exhaled breath analysis: research protocol for an exploratory study |
| Author(s): | Li W; Dai W; Liu M; Long Y; Wang C; Xie S; Liu Y; Zhang Y; Shi Q; Peng X; Liu Y; Li Q; Duan Y; |
| Address: | "West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. Research Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China. Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China. Graduate School, Chengdu Medical College, Chengdu, China. Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA" |
| DOI: | 10.1136/bmjopen-2018-028448 |
| ISSN/ISBN: | 2044-6055 (Electronic) 2044-6055 (Linking) |
| Abstract: | "INTRODUCTION: Lung cancer is the most common cancer and the leading cause of cancer death in China, as well as in the world. Late diagnosis is the main obstacle to improving survival. Currently, early detection methods for lung cancer have many limitations, for example, low specificity, risk of radiation exposure and overdiagnosis. Exhaled breath analysis is one of the most promising non-invasive techniques for early detection of lung cancer. The aim of this study is to identify volatile organic compound (VOC) biomarkers in lung cancer and to construct a predictive model for lung cancer based on exhaled breath analysis. METHODS AND ANALYSIS: The study will recruit 389 lung cancer patients in one cancer centre and 389 healthy subjects in two lung cancer screening centres. Bio-VOC breath sampler and Tedlar bag will be used to collect breath samples. Gas chromatography-mass spectrometry coupled with solid phase microextraction technique will be used to analyse VOCs in exhaled breath. VOC biomarkers with statistical significance and showing abilities to discriminate lung cancer patients from healthy subjects will be selected for the construction of predictive model for lung cancer. ETHICS AND DISSEMINATION: The study was approved by the Ethics Committee of Sichuan Cancer Hospital on 6 April 2017 (No. SCCHEC-02-2017-011). The results of this study will be disseminated in presentations at academic conferences, publications in peer-reviewed journals and the news media. TRIAL REGISTRATION NUMBER: ChiCTR-DOD-17011134; Pre-results" |
| Keywords: | Aged Biomarkers/analysis Breath Tests/*methods China Early Detection of Cancer/*methods Female Humans Lung Neoplasms/*diagnosis Male Middle Aged Multicenter Studies as Topic Randomized Controlled Trials as Topic Volatile Organic Compounds/*analysis biomar; |
| Notes: | "MedlineLi, Wenwen Dai, Wei Liu, Mingxin Long, Yijing Wang, Chunyan Xie, Shaohua Liu, Yuanling Zhang, Yinchenxi Shi, Qiuling Peng, Xiaoqin Liu, Yifeng Li, Qiang Duan, Yixiang eng Clinical Trial Protocol Research Support, Non-U.S. Gov't England 2019/08/11 BMJ Open. 2019 Aug 8; 9(8):e028448. doi: 10.1136/bmjopen-2018-028448" |
