Effects of nilotinib on leukaemia cells using vibrational microspectroscopy and cell cloning

M R Siddique1, A V Rutter, K Wehbe

  • 1Institute for Science and Technology in Medicine, Keele University, Guy Hilton Research Centre, Thornburrow Drive, Stoke on Trent ST4 7QB, UK. josep.sulesuso@uhns.nhs.uk.

The Analyst
|December 13, 2016
PubMed

Insights

Cloning leukemia cells identified spectral biomarkers for drug sensitivity. Synchrotron-based FTIR (S-FTIR) and Raman microspectroscopy distinguished drug-treated cells, aiding personalized cancer treatment strategies.

Area of Science:

  • Biomedical Spectroscopy
  • Cancer Cell Biology
  • Pharmacogenomics

Background:

  • Cancer heterogeneity poses challenges for drug efficacy.
  • Synchrotron-based FTIR (S-FTIR) and Raman microspectroscopy analyze drug effects on cancer cells.
  • Cellular response to drugs involves chemical and morphological changes impacting spectral data.

Purpose of the Study:

  • To clone sensitive and resistant leukemia cell lines to nilotinib for uniform population studies.
  • To investigate spectral changes in sensitive and resistant cells upon nilotinib treatment using S-FTIR and Raman microspectroscopy.
  • To identify spectral biomarkers for drug sensitivity and resistance in leukemia.

Main Methods:

  • Cell cloning of sensitive and resistant leukemia cell lines.
  • Incubation of cloned cells with nilotinib.
  • Analysis of spectral data using Synchrotron-based FTIR (S-FTIR) and Raman microspectroscopy.
  • Principal Component Analysis (PCA) for spectral data interpretation.

Main Results:

  • Nilotinib treatment induced spectral changes in both sensitive and resistant leukemia clones.
  • PCA successfully differentiated between drug-treated and untreated cells, including resistant clones.
  • Spectral differences in resistant cells post-treatment suggest the presence of subpopulations with varying drug sensitivity.

Conclusions:

  • Cell cloning coupled with S-FTIR and Raman microspectroscopy can identify spectral biomarkers for drug sensitivity/resistance.
  • This methodology holds promise for application to various cancer types.
  • Future work can guide personalized leukemia treatment by assessing patient-specific drug sensitivity.

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