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

Journal of Hematology & Oncology

Correspondence

Haibin Chen¹  Yong Feng¹  Juan Xu²  Lan Bai²  Can Lu²  Jiali Zou³  Xuejie Tang³  Yanman Fang³  Shouping Xu⁴  Yalun Li⁵  Yeqing Zhou⁵  Guangdong Qiao⁵  Shuo Zhang⁶  Ran Zhou⁷  Yang Guo⁷  Hongwei Wen⁷  Gang Liu⁸  Bailin Zhang⁸  Ziqi Jia⁸  Xiang Wang⁸  Dingyuan Wang⁸  Yang Wang⁸  Hengyi Xu⁹  Yiwen Jiang⁹  Yansong Huang⁹  Jiayi Li⁹  Jiaqi Liu^1,10  Tao Wang^1,11  Shuangquan Li^1,12  Hongyan Chen^1,13  Zhihua Liu^1,13 

[1] Breax Laboratory, PCAB Research Center of Breath and Metabolism, 100071, Beijing, People’s Republic of China;Department of Breast Surgery, Daxing Maternal and Child Healthcare Hospital of Beijing, 100162, Beijing, People’s Republic of China;Department of Breast Surgery, Guiyang Maternal and Child Healthcare Hospital, 550001, Guiyang, People’s Republic of China;Department of Breast Surgery, Harbin Medical University Cancer Hospital, 150081, Harbin, People’s Republic of China;Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, 264000, Yantai, People’s Republic of China;Department of Breast Surgery, The Fourth Hospital of Hebei Medical University, 050019, Shijiazhuang, Hebei, People’s Republic of China;Department of Breast Surgery, Yanqing Maternal and Child Healthcare Hospital of Beijing, 101399, Beijing, People’s Republic of China;Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang, 100021, Beijing, People’s Republic of China;Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang, 100021, Beijing, People’s Republic of China;Peking Union Medical College and Chinese Academy of Medical Sciences, 100005, Beijing, People’s Republic of China;Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang, 100021, Beijing, People’s Republic of China;State Key Laboratory of Molecular Oncology, National Cancer Center /National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang, 100021, Beijing, People’s Republic of China;Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, 100053, Beijing, People’s Republic of China;Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, People’s Republic of China;State Key Laboratory of Molecular Oncology, National Cancer Center /National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang, 100021, Beijing, People’s Republic of China;

关键词: Breast cancer;    Breath test;    Volatile organic compound;    Early diagnosis;    Cancer screening;   

DOI  :  10.1186/s13045-023-01459-9

 received in 2023-01-16, accepted in 2023-05-25,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundEarly 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.MethodsThis 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.ResultsA 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.ConclusionsThis 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.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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