ArticleBMJ open2019
VOC biomarkers identification and predictive model construction for lung cancer based on exhaled breath analysis: research protocol for an exploratory study.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Trial
- The exhaled breath pattern as a potential method for biometrics identification.Scientific reports · 2025Article
- Transforming Cancer Diagnostics: The Emergence of Liquid Biopsy and Epigenetic Markers.MedComm · 2025Review
- Association of exhaled breath volatile organic compounds with surgical traumatic stress.BMC anesthesiology · 2025Article
- Online monitoring and stable isotope tracing of cancer associated volatiles in murine model captures tumor associated markers in vivo.Analytica chimica acta · 2025Article
- Minimally invasive biomarkers for triaging lung nodules-challenges and future perspectives.Cancer metastasis reviews · 2025Review
- Collection methods of exhaled volatile organic compounds for lung cancer screening and diagnosis: a systematic review.Journal of thoracic disease · 2024Review
- Volatile organic compounds for the detection of hepatocellular carcinoma-A scoping review.iLIVER · 2024Review
- GC-MS-based metabolomics of volatile organic compounds in exhaled breath: applications in health and disease. A review.Frontiers in molecular biosciences · 2023Review
- Smartphone-Based Platforms for Clinical Detections in Lung-Cancer-Related Exhaled Breath Biomarkers: A Review.Biosensors · 2022Review
- The role of Exosomal miRNAs in cancer.Journal of translational medicine · 2022Review
- Multi-Odor Discrimination by Rat Sniffing for Potential Monitoring of Lung Cancer and Diabetes.Sensors (Basel, Switzerland) · 2021Article
- Olfactory Detection of Toluene by Detection Rats for Potential Screening of Lung Cancer.Sensors (Basel, Switzerland) · 2021Article
- Early diagnosis and screening in lung cancer.American journal of cancer research · 2020Review
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLung 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.
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