AUTHOR=Xu Yali , Zhao Bin , Xu Zhu , Li Xiaogang , Sun Qiang 

TITLE=Plasma metabolomic signatures of breast cancer

JOURNAL=Frontiers in Medicine

VOLUME=Volume 10 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2023.1148542

DOI=10.3389/fmed.2023.1148542

ISSN=2296-858X

ABSTRACT=Background: Breast cancer is a common malignant tumor. Large number of medical evidence shows that breast cancer screening can improve the early diagnosis rate and reduce the mortality rate of breast cancer. Here, a wide range of targeted metabolomics profiling was conducted to investigate the plasma signatures of breast cancer.Methods: 86 patients with benign breast abnormalities (L group) and 143 patients with breast cancer (E group) were recruited. We collected the plasma samples and clinical information. Metabolomic analysis, based on the coverage of a wide range of targeted metabolomics was conducted with ultraperformance liquid chromatographytriple quadrupole-linear ion trap mass spectrometer (UPLC-QTRAP-MS).We identified 716 metabolites through widely-targeted metabolomics.Serotonergic synapse was the main different metabolic pathway. The fold change of 14 metabolites was considered different significantly (fold change <0.67 or fold change >2; P<0.05). By combining all the 14 metabolites, we achieved differentiation of L group vs E group) (AUC=0.792, 95%Cl: 0.662-0.809).3 Conclusions: This study provided new insights into plasma biomarkers for differential diagnosis of benign abnormalities and breast cancer.