Supplementary figure S4 from Serum Metabolomic Profiles Identify ER-Positive Early Breast Cancer Patients at Increased Risk of Disease Recurrence in a Multicenter Population
Year: 2023
Type: supplementary-materials
Abstract: Illustration of the significant differences in metabolomic spectra between serum samples from current study and those from the MSKCC cohort used in a previous study. Differences due to location far overwhelm differences between EBC and MBC spectra, and preclude the RF risk score from predicting relapse. A. Clustering of CPMG spectra using first two components of supervised PCA-CA. Each dot represents an EBC patient and each triangle a MBC patients. In red are reported the samples collected for this study and in green the MSKCC samples. The confusion matrix and the accuracy of the discrimination between the samples of the two studies are also reported. B. Predictive ability of the RF risk score developed on the MSKCC data set in the current cohort, using ROC analysis. AUC and the confusion matrix are presented for the CPMG RF scores, calculated using the model built on the MSKCC samples, in the test set.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4362402237