Predicting prognosis in acute myeloid leukemia patients by surface-enhanced Raman spectroscopy.
Shuo ChenChunmeng WangRuochen ZhuShanshan ZhuGuojun ZhangPublished in: Nanomedicine (London, England) (2021)
Aim: To develop a timely and accurate method for predicting acute myeloid leukemia (AML) prognosis after chemotherapy treatment by surface-enhanced Raman spectroscopy (SERS). Methods: Biomolecular differences between AML patients with good and poor prognosis and individuals without AML were investigated based on SERS measurements of bone marrow supernatant fluid samples. Multivariate analysis was implemented on the SERS measurements to establish an AML prognostic model. Results: Significant differences in amino acid, saccharide and lipid levels were observed between AML patients with good and poor prognoses. The AML prognostic model achieved a prediction accuracy of 84.78%. Conclusion: The proposed method could be a potential diagnostic tool for timely and precise prediction of AML prognosis.
Keyphrases
- acute myeloid leukemia
- raman spectroscopy
- allogeneic hematopoietic stem cell transplantation
- poor prognosis
- bone marrow
- gold nanoparticles
- end stage renal disease
- sensitive detection
- long non coding rna
- newly diagnosed
- chronic kidney disease
- ejection fraction
- mesenchymal stem cells
- prognostic factors
- climate change
- fatty acid
- high resolution
- smoking cessation
- combination therapy