Purpose: Identification of metabolomic biomarkers of high SBR grade in non-metastatic breast cancer.
Methods: This retrospective bicentric metabolomic analysis included a training set ( = 51) and a validation set ( = 49) of breast cancer tumors, all classified as high-grade (grade III) or low-grade (grade I-II). Metabolomes of tissue samples were studied by liquid chromatography coupled with mass spectrometry.
Objectives: The COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is still challenging healthcare systems. New tools for the prognosis and diagnosis of COVID-19 patients remain important issues.
Design: Here, we studied the metabolome of plasma samples of COVID-19 patients for the identification of prognosis biomarkers.