Serum NMR metabolomics to differentiate haematologic malignancies

Oncotarget
Wojciech WojtowiczPiotr Młynarz

Abstract

Haematological malignancies are a frequently diagnosed group of neoplasms and a significant cause of cancer deaths. The successful treatment of these diseases relies on early and accurate detection. Specific small molecular compounds released by malignant cells and the simultaneous response by the organism towards the pathological state may serve as diagnostic/prognostic biomarkers or as a tool with relevance for cancer therapy management. To identify the most important metabolites required for differentiation, an 1H NMR metabolomics approach was applied to selected haematological malignancies. This study utilized 116 methanol serum extract samples from AML (n= 38), nHL (n= 26), CLL (n= 21) and HC (n= 31). Multivariate and univariate data analyses were performed to identify the most abundant changes among the studied groups. Complex and detailed VIP-PLS-DA models were calculated to highlight possible changes in terms of biochemical pathways and discrimination ability. Chemometric model prediction properties were validated by receiver operating characteristic (ROC) curves and statistical analysis. Two sets of eight important metabolites in HC/AML/CLL/nHL comparisons and five in AML/CLL/nHL comparisons were selected to form compl...Continue Reading

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Citations

Jun 30, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Luigi BarberiniPierluigi Cocco
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Methods Mentioned

BETA
PCR
flow cytometry
NMR
total correlation spectroscopy

Software Mentioned

Chenomx
DA
MATLAB
PLS
STATISTICA
SIMCA
metaboanalyst
14
MestReNova
VIP

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