Abstract
#Lipidomics, a promising detection method, may serve as a novel
prognostic approach for breast cancer patients. Using high performance
liquid chromatography coupled with #electrosprayionization #triplequadrupole time of flight #massspectrometry, this pilot study aims to
detect
the serum lipidomic signature of patients with confirmed invasive #ductalcarcinoma, at three different stages (stage I–III) comparatively to
healthy controls. Two different multivariate and univariate statistical
models were applied for evaluating the lipid species, by PCA, PLS-DA,
AUROC and T-test, as potential #biomarkers in the diagnosis of this type
of breast cancer. Our results revealed that lipid biomarkers responsible
for the discrimination between breast cancer patients and healthy
controls belong mainly to #diacylglycerol and #phosphatidylcholine derivatives
of different unsaturated fatty acids.
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