Exhaled breath detection is expected to become a new method for non-invasive screening of lung cancer— Project initiation of "research on the application of human exhaled breath detection technology based on quantum cascade laser in the diagnosis of lung cancer and other diseases"_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

XIANG Run , TIAN Bo , XIE Shaohua , LIU Mingxin , GUO Ling ,  LI Qiang

Division of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610041, P.R.China;

Corresponding author：

LI Qiang, Email: liqiang@sichuancancer.org

Keywords：

Lung cancer; exhaled breath; quantum cascade laser; screening

DOI：

10.7507/1007-4848.202107087

Video：

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Being a non-invasive diagnostic technique for molecular biological markers, exhaled breath detection has the most latent capacity and future in the diagnosis and treatment of tumors. The National Key Research and Development Plan named "Strategic Advanced Electronic Materials" in 2020 has laid out the application of exhaled breath detection technology in the medical field, and the scientific research project led by Sichuan Cancer Hospital has been successfully launched. For the moment, as a novel strategy for early detection of lung cancer, exhaled breath detection is being perfected further and popularized or put in clinical practice step by step to reduce the mortality of lung cancer patients.

Citation： XIANG Run, TIAN Bo, XIE Shaohua, LIU Mingxin, GUO Ling, LI Qiang. Exhaled breath detection is expected to become a new method for non-invasive screening of lung cancer— Project initiation of "research on the application of human exhaled breath detection technology based on quantum cascade laser in the diagnosis of lung cancer and other diseases". Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2021, 28(11): 1267-1271. doi: 10.7507/1007-4848.202107087 Copy

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2.	赫捷, 李霓, 陈万青, 等. 中国肺癌筛查与早诊早治指南(2021, 北京). 中华肿瘤杂志, 2021, 43(3): 243-268.
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5.	彭晓琴, 刘明心, 戴维, 等. 早期肺癌患者呼出气特征性挥发性有机化合物及其诊断价值研究. 中国胸心血管外科临床杂志, 2020, 27(12): 1429-1435.
6.	谢少华, 戴维, 刘明心, 等. 呼出气中挥发性有机化合物对<50岁人群肺结节良恶性的预测价值. 中国胸心血管外科临床杂志, 2020, 27(6): 675-680.
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10.	van de Goor R, van Hooren M, Dingemans AM, et al. Training and validating a portable electronic nose for lung cancer screening. J Thorac Oncol, 2018: 676-681.
11.	卢崇蓉, 胡燕婕, 陈恩国, 等. 肺癌患者呼出气体中特征性挥发性有机化合物的研究. 中华结核和呼吸杂志, 2010, 33(2): 104-108.
12.	陈璐, 刘畅, 康涛, 等. 呼出气体中部分可挥发性有机物用于诊断肺癌的预测模型. 肿瘤, 2015, 35(4): 404-413.
13.	Hsu NS, Tehei M, Hossain MS, et al. Oxi-redox selective breast cancer treatment: An in vitro study of theranostic in-based oxide nanoparticles for controlled generation or prevention of oxidative stress. ACS Appl Mater Interfaces, 2021, 13(2): 2204-2217.
14.	Di Gilio A, Catino A, Lombardi A, et al. Breath analysis for early detection of malignant pleural mesothelioma: Volatile organic compounds (VOCs) determination and possible biochemical pathways. Cancers (Basel), 2020, 12(5): 1262.
15.	Phillips M, Herrera J, Krishnan S, et al. Variation in volatile organic compounds in the breath of normal humans. J Chromatogr B Biomed Sci Appl, 1999, 729(1-2): 75-88.
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18.	Belluomo I, Boshier PR, Myridakis A, et al. Selected ion flow tube mass spectrometry for targeted analysis of volatile organic compounds in human breath. Nat Protoc, 2021, 16(7): 3419-3438.
19.	Pereira J, Porto-Figueira P, Cavaco C, et al. Breath analysis as a potential and non-invasive frontier in disease diagnosis: An overview. Metabolites, 2015, 5(1): 3-55.
20.	Westhoff M, Litterst P, Freitag L, et al. Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of patients with lung cancer: Results of a pilot study. Thorax, 2009, 64(9): 744-748.
21.	Chen Q, Chen Z, Liu D, et al. Constructing an e-nose using metal-ion-induced assembly of graphene oxide for diagnosis of lung cancer via exhaled breath. ACS Appl Mater Interfaces, 2020, 12(15): 17713-17724.
22.	Chen K, Liu L, Nie B, et al. Recognizing lung cancer and stages using a self-developed electronic nose system. Comput Biol Med, 2021, 131: 104294.
23.	Dragonieri S, Schot R, Mertens BJ, et al. An electronic nose in the discrimination of patients with asthma and controls. J Allergy Clin Immunol, 2007, 120(4): 856-862.
24.	Guo DM, Zhang D, Lu GM, et al. Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis. Sens Actuators B Chem, 2012, 173: 106-113.
25.	Wang C, Sahay P. Breath analysis using laser spectroscopic techniques: Breath biomarkers, spectral fingerprints, and detection limits. Sensors, 2009, 9(10): 8230-8262.
26.	Rehle D, Leleux D, Erdelyi M, et al. Ambient formaldehyde detection with a laser spectrometer based on difference-frequency generation in PPLN. Appl Phys B, 2001, 72(8): 947-952.
27.	Kamat PC, Roller CB, Namjou K, et al. Measurement of acetaldehyde in exhaled breath using a laser absorption spectrometer. Appl Opt, 2007, 46: 3969-3975.
28.	孙娟. 基于外腔式量子级联激光器的激光光谱技术研究. 安徽大学, 2018.

1. 郑荣寿, 孙可欣, 张思, 等. 2015年中国恶性肿瘤流行情况分析. 中华肿瘤杂志, 2019, 41(1): 19-28.
2. 赫捷, 李霓, 陈万青, 等. 中国肺癌筛查与早诊早治指南(2021, 北京). 中华肿瘤杂志, 2021, 43(3): 243-268.
3. Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2021. CA Cancer J Clin, 2021, 71(1): 7-33.
4. Haick H, Broza YY, Mochalski P, et al. Assessment, origin, and implementation of breath volatile cancer markers. Chemi Soci Revi, 2013, 43(5): 1423-1449.
5. 彭晓琴, 刘明心, 戴维, 等. 早期肺癌患者呼出气特征性挥发性有机化合物及其诊断价值研究. 中国胸心血管外科临床杂志, 2020, 27(12): 1429-1435.
6. 谢少华, 戴维, 刘明心, 等. 呼出气中挥发性有机化合物对<50岁人群肺结节良恶性的预测价值. 中国胸心血管外科临床杂志, 2020, 27(6): 675-680.
7. Dent AG, Sutedja TG, Zimmerman PV. Exhaled breath analysis for lung cancer. J Thorac Dis, 2013, 5(5): 540-550.
8. Krilaviciute A, Heiss JA, Leja M, et al. Detection of cancer through exhaled breath: A systematic review. Oncotarget, 2015, 6(36): 38643-38657.
9. Markar SR, Wiggins T, Antonowicz S, et al. Assessment of a noninvasive exhaled breath test for the diagnosis of oesophagogastric cancer. JAMA Oncology, 2018, 4(7): 970-976.
10. van de Goor R, van Hooren M, Dingemans AM, et al. Training and validating a portable electronic nose for lung cancer screening. J Thorac Oncol, 2018: 676-681.
11. 卢崇蓉, 胡燕婕, 陈恩国, 等. 肺癌患者呼出气体中特征性挥发性有机化合物的研究. 中华结核和呼吸杂志, 2010, 33(2): 104-108.
12. 陈璐, 刘畅, 康涛, 等. 呼出气体中部分可挥发性有机物用于诊断肺癌的预测模型. 肿瘤, 2015, 35(4): 404-413.
13. Hsu NS, Tehei M, Hossain MS, et al. Oxi-redox selective breast cancer treatment: An in vitro study of theranostic in-based oxide nanoparticles for controlled generation or prevention of oxidative stress. ACS Appl Mater Interfaces, 2021, 13(2): 2204-2217.
14. Di Gilio A, Catino A, Lombardi A, et al. Breath analysis for early detection of malignant pleural mesothelioma: Volatile organic compounds (VOCs) determination and possible biochemical pathways. Cancers (Basel), 2020, 12(5): 1262.
15. Phillips M, Herrera J, Krishnan S, et al. Variation in volatile organic compounds in the breath of normal humans. J Chromatogr B Biomed Sci Appl, 1999, 729(1-2): 75-88.
16. Halliwell B, Gutteridge JM, Cross CE. Free radicals, antioxidants, and human disease: Where are we now? J Laboratory Clin Med, 1992, 119(6): 598-620.
17. Chen T, Liu T, Li T, et al. Exhaled breath analysis in disease detection. Clin Chim Acta, 2021, 515: 61-72.
18. Belluomo I, Boshier PR, Myridakis A, et al. Selected ion flow tube mass spectrometry for targeted analysis of volatile organic compounds in human breath. Nat Protoc, 2021, 16(7): 3419-3438.
19. Pereira J, Porto-Figueira P, Cavaco C, et al. Breath analysis as a potential and non-invasive frontier in disease diagnosis: An overview. Metabolites, 2015, 5(1): 3-55.
20. Westhoff M, Litterst P, Freitag L, et al. Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of patients with lung cancer: Results of a pilot study. Thorax, 2009, 64(9): 744-748.
21. Chen Q, Chen Z, Liu D, et al. Constructing an e-nose using metal-ion-induced assembly of graphene oxide for diagnosis of lung cancer via exhaled breath. ACS Appl Mater Interfaces, 2020, 12(15): 17713-17724.
22. Chen K, Liu L, Nie B, et al. Recognizing lung cancer and stages using a self-developed electronic nose system. Comput Biol Med, 2021, 131: 104294.
23. Dragonieri S, Schot R, Mertens BJ, et al. An electronic nose in the discrimination of patients with asthma and controls. J Allergy Clin Immunol, 2007, 120(4): 856-862.
24. Guo DM, Zhang D, Lu GM, et al. Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis. Sens Actuators B Chem, 2012, 173: 106-113.
25. Wang C, Sahay P. Breath analysis using laser spectroscopic techniques: Breath biomarkers, spectral fingerprints, and detection limits. Sensors, 2009, 9(10): 8230-8262.
26. Rehle D, Leleux D, Erdelyi M, et al. Ambient formaldehyde detection with a laser spectrometer based on difference-frequency generation in PPLN. Appl Phys B, 2001, 72(8): 947-952.
27. Kamat PC, Roller CB, Namjou K, et al. Measurement of acetaldehyde in exhaled breath using a laser absorption spectrometer. Appl Opt, 2007, 46: 3969-3975.
28. 孙娟. 基于外腔式量子级联激光器的激光光谱技术研究. 安徽大学, 2018.

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Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Exhaled breath detection is expected to become a new method for non-invasive screening of lung cancer— Project initiation of "research on the application of human exhaled breath detection technology based on quantum cascade laser in the diagnosis of lung cancer and other diseases"

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