A novel non-invasive exhaled breath biopsy for the diagnosis and screening of breast cancer

被引:17
作者
Liu, Jiaqi [1 ,2 ]
Chen, Haibin [3 ]
Li, Yalun [4 ]
Fang, Yanman [5 ]
Guo, Yang [6 ]
Li, Shuangquan [7 ]
Xu, Juan [8 ]
Jia, Ziqi [1 ]
Zou, Jiali [5 ]
Liu, Gang [1 ]
Xu, Hengyi [1 ,9 ]
Wang, Tao [10 ]
Wang, Dingyuan [1 ]
Jiang, Yiwen [1 ,9 ]
Wang, Yang [1 ]
Tang, Xuejie [5 ]
Qiao, Guangdong [4 ]
Zhou, Yeqing [4 ]
Bai, Lan [8 ]
Zhou, Ran [6 ]
Lu, Can [8 ]
Wen, Hongwei [6 ]
Li, Jiayi [1 ,9 ]
Huang, Yansong [1 ,9 ]
Zhang, Shuo [11 ]
Feng, Yong [3 ]
Chen, Hongyan [2 ]
Xu, Shouping [12 ]
Zhang, Bailin [1 ]
Liu, Zhihua [2 ]
Wang, Xiang [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Clin Res Ctr Canc, Dept Breast Surg Oncol,Canc Hosp, 17 Panjiayuannanli, Beijing 100021, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Clin Res Ctr Canc, State Key Lab Mol Oncol,Canc Hosp, 17 Panjiayuannanli, Beijing 100021, Peoples R China
[3] PCAB Res Ctr Breath & Metab, Breax Lab, Beijing 100071, Peoples R China
[4] Qingdao Univ, Yantai Yuhuangding Hosp, Dept Breast Surg, Yantai 264000, Peoples R China
[5] Guiyang Maternal & Child Healthcare Hosp, Dept Breast Surg, Guiyang 550001, Peoples R China
[6] Yanqing Maternal & Child Healthcare Hosp Beijing, Dept Breast Surg, Beijing 101399, Peoples R China
[7] Wenzhou Med Univ, Affiliated Hosp 1, Dept Radiol, Wenzhou 325000, Peoples R China
[8] Daxing Maternal & Child Healthcare Hosp Beijing, Dept Breast Surg, Beijing 100162, Peoples R China
[9] Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China
[10] Capital Med Univ, Xuanwu Hosp, China Int Neurosci Inst, Natl Ctr Neurol Disorders,Dept Neurosurg, Beijing 100053, Peoples R China
[11] Hebei Med Univ, Hosp 4, Dept Breast Surg, Shijiazhuang 050019, Hebei, Peoples R China
[12] Harbin Med Univ, Canc Hosp, Dept Breast Surg, Harbin 150081, Peoples R China
基金
中国国家自然科学基金;
关键词
Breast cancer; Breath test; Volatile organic compound; Early diagnosis; Cancer screening;
D O I
10.1186/s13045-023-01459-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Early detection is critical for improving the survival of breast cancer (BC) patients. Exhaled breath testing as a non-invasive technique might help to improve BC detection. However, the breath test accuracy for BC diagnosis is unclear.Methods This multi-center cohort study consecutively recruited 5047 women from four areas of China who underwent BC screening. Breath samples were collected through standardized breath collection procedures. Volatile organic compound (VOC) markers were identified from a high-throughput breathomics analysis by the high-pressure photon ionization-time-of-flight mass spectrometry (HPPI-TOFMS). Diagnostic models were constructed using the random forest algorithm in the discovery cohort and tested in three external validation cohorts.Results A total of 465 (9.21%) participants were identified with BC. Ten optimal VOC markers were identified to distinguish the breath samples of BC patients from those of non-cancer women. A diagnostic model (BreathBC) consisting of 10 optimal VOC markers showed an area under the curve (AUC) of 0.87 in external validation cohorts. BreathBC-Plus, which combined 10 VOC markers with risk factors, achieved better performance (AUC = 0.94 in the external validation cohorts), superior to that of mammography and ultrasound. Overall, the BreathBC-Plus detection rates were 96.97% for ductal carcinoma in situ, 85.06%, 90.00%, 88.24%, and 100% for stages I, II, III, and IV BC, respectively, with a specificity of 87.70% in the external validation cohorts.Conclusions This is the largest study on breath tests to date. Considering the easy-to-perform procedure and high accuracy, these findings exemplify the potential applicability of breath tests in BC screening.
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页数:5
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共 12 条
[11]   High-Pressure Photon Ionization Source for TOFMS and Its Application for Online Breath Analysis [J].
Wang, Yan ;
Jiang, Jichun ;
Hua, Lei ;
Hou, Keyong ;
Xie, Yuanyuan ;
Chen, Ping ;
Liu, Wei ;
Li, Qingyun ;
Wang, Shuang ;
Li, Haiyang .
ANALYTICAL CHEMISTRY, 2016, 88 (18) :9047-9055
[12]   Breath biopsy of breast cancer using sensor array signals and machine learning analysis [J].
Yang, Hsiao-Yu ;
Wang, Yi-Chia ;
Peng, Hsin-Yi ;
Huang, Chi-Hsiang .
SCIENTIFIC REPORTS, 2021, 11 (01)