@article{51e06c65cdee47da80eaa3a3ff93c709,
title = "Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints",
abstract = "High-performance metabolic analysis is emerging in the diagnosis and prognosis of breast cancer (BrCa). Still, advanced tools are in demand to deliver the application potentials of metabolic analysis. Here, we used fast nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI-MS) to record serum metabolic fingerprints (SMFs) of BrCa in seconds, achieving high reproducibility and low consumption of direct serum detection without treatment. Subsequently, machine learning of SMFs generated by NPELDI-MS functioned as an efficient readout to distinguish BrCa from non-BrCa with an area under the curve of 0.948. Furthermore, a metabolic prognosis scoring system was constructed using SMFs with effective prediction performance toward BrCa (P < 0.005). Finally, we identified a biomarker panel of seven metabolites that were differentially enriched in BrCa serum and their related pathways. Together, our findings provide an efficient serum metabolic tool to characterize BrCa and highlight certain metabolic signatures as potential diagnostic and prognostic factors of diseases including but not limited to BrCa.",
keywords = "Breast cancer, Diagnosis, Mass spectrometry, Prognosis, Serum metabolic fingerprints",
author = "Yida Huang and Shaoqian Du and Jun Liu and Weiyi Huang and Wanshan Liu and Mengji Zhang and Ning Li and Ruimin Wang and Jiao Wu and Wei Chen and Mengyi Jiang and Tianhao Zhou and Jing Cao and Jing Yang and Lin Huang and An Gu and Jingyang Niu and Yuan Cao and Zong, {Wei Xing} and Xin Wang and Jun Liu and Kun Qian and Hongxia Wang",
note = "Funding Information: This work was supported by the National Natural Science Funds (Grant 81971771, Grant 81772802, Grant 82073269, and Grant M-0349), the Ministry of Science and Technology of China (Grant 2017YFE0124400 and Grant 2018YFC1312800), the Shanghai Institutions of Higher Learning (Grant 2021-01-07-00-02-E00083), the Shanghai Science and Technology Innovation Action Plan (Grant 20XD1402800), the Clinical Research Plan of Shanghai Shen-kang Hospital Development Centre (Grant SHDC2020CR2065B), the Shanghai Rising-Star Program (Grant 19QA1404800), the Innovation Research Plan by the Shanghai Municipal Education Commission (Grant ZXWF082101), the Clinical Research Innovation Plan of Shanghai General Hospital (Grant CTCCR-2016B05), the Natural Science Foundation of Jiangsu Province (Grant BK20181186), the Innovation Research Plan by the Shanghai Municipal Education Commission (Grant ZXWF082101), the National Research Center for Translational Medicine Shanghai (Grant TMSK-2021-124, NRCTM(SH)-2021-06), the Medical-Engineering Joint Funds of Shanghai Jiao Tong University (Grant YG2019QNA44, Grant YG2021ZD09, Grant YG2022QN107), and the Shanghai Science and Technology Commission (Grant 20JC1410100). Funding Information: ACKNOWLEDGMENTS. This work was supported by the National Natural Science Funds (Grant 81971771, Grant 81772802, Grant 82073269, and Grant M-0349), the Ministry of Science and Technology of China (Grant 2017YFE0124400 and Grant 2018YFC1312800), the Shanghai Institutions of Higher Learning (Grant 2021-01-07-00-02-E00083), the Shanghai Science and Technology Innovation Action Plan (Grant 20XD1402800), the Clinical Research Plan of Shanghai Shen-kang Hospital Development Centre (Grant SHDC2020CR2065B), the Shanghai Rising-Star Program (Grant 19QA1404800), the Innovation Research Plan by the Shanghai Municipal Education Commission (Grant ZXWF082101), the Clinical Research Innovation Plan of Shanghai General Hospital (Grant CTCCR-2016B05), the Natural Science Foundation of Jiangsu Province (Grant BK20181186), the Innovation Research Plan by the Shanghai Municipal Education Commission (Grant ZXWF082101), the National Research Center for Translational Medicine Shanghai (Grant TMSK-2021-124, NRCTM(SH)-2021-06), the Medical-Engineering Joint Funds of Shanghai Jiao Tong University Publisher Copyright: Copyright {\textcopyright} 2022 the Author(s).",
year = "2022",
month = mar,
day = "22",
doi = "10.1073/pnas.2122245119",
language = "English (US)",
volume = "119",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "12",
}