Ontology highlight
ABSTRACT: Purpose
We aimed to study the potential influence of tumour blood flow -obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)- in the metabolomic profiles of endometrial tumours.Methods
Liquid chromatography coupled to mass spectrometry established the metabolomic profile of endometrial cancer lesions exhibiting high (n=12) or low (n=14) tumour blood flow at DCE-MRI. Univariate and multivariate statistics (ortho-PLS-DA, a random forest (RF) classifier and hierarchical clustering) and receiver operating characteristic (ROC) curves were used to establish a panel for potentially discriminating tumours with high versus low blood flow.Results
Tumour blood flow is associated with specific metabolomic signatures. Ortho-PLS-DA and RF classifier result
SUBMITTER: Eritja N
PROVIDER: S-EPMC5752500 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature