Figure 1.
Specific metabolic profile of AML patients according to cytologic subtypes of leukemic progenitors (FAB classification). (A) Score plot of the OPLS-DA model built with HRMAS NMR data of all patients (n = 54) and the different AML subtypes. Based on the model factors (R2Y = 0,456; Q2 = 0,306), we see a tendency to separate the patients’ profiles according to their cytologic subtypes. Some patients appear to have common features. (B) Score plot of the same OPLS-DA model as panel A, excluding the IDH mutated patients (n = 41). The model is very robust and predictive (R2Y = 0,845; Q2 = 0,601). The distribution of the metabolic profiles is influenced by the oncometabolite 2-HG.

Specific metabolic profile of AML patients according to cytologic subtypes of leukemic progenitors (FAB classification). (A) Score plot of the OPLS-DA model built with HRMAS NMR data of all patients (n = 54) and the different AML subtypes. Based on the model factors (R2Y = 0,456; Q2 = 0,306), we see a tendency to separate the patients’ profiles according to their cytologic subtypes. Some patients appear to have common features. (B) Score plot of the same OPLS-DA model as panel A, excluding the IDH mutated patients (n = 41). The model is very robust and predictive (R2Y = 0,845; Q2 = 0,601). The distribution of the metabolic profiles is influenced by the oncometabolite 2-HG.

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