Molecular Imaging of Deoxycytidine Kinase Activity Using Deoxycytidine-Enhanced CEST MRI

Zheng Han1, Yuguo Li1,2, Jia Zhang1

  • 1Department of Radiology, Johns Hopkins University, Baltimore, Maryland.

Cancer Research
|April 4, 2019
PubMed

Insights

A new MRI method uses deoxycytidine (dC) to image deoxycytidine kinase (DCK) activity, aiding cancer drug resistance prediction. This natural imaging probe helps assess treatment efficacy and personalize chemotherapy strategies.

Area of Science:

  • Biomedical Imaging
  • Molecular Imaging
  • Cancer Research

Background:

  • Deoxycytidine kinase (DCK) is crucial for activating nucleoside chemotherapy drugs like gemcitabine.
  • Low DCK activity is a primary driver of cancer drug resistance.
  • Noninvasive methods to quantify DCK activity are essential for predicting treatment outcomes.

Purpose of the Study:

  • To develop a novel MRI approach for noninvasively detecting and quantifying DCK activity.
  • To utilize the natural substrate deoxycytidine (dC) as an imaging probe for DCK detection.
  • To assess the potential of this method for predicting cancer drug resistance and guiding personalized chemotherapy.

Main Methods:

  • Developed a chemical exchange saturation transfer (CEST) MRI technique using dC as the imaging probe.
  • Evaluated dC-enhanced CEST MRI in mouse leukemia cell lines with varying DCK expression.
  • Applied the method in xenograft leukemic cancer mouse models to measure DCK activity and correlate with gemcitabine treatment response.

Main Results:

  • dC-enhanced CEST MRI successfully differentiated DCK activity in cell lines.
  • DCK(+) tumors showed significantly higher dynamic CEST contrast enhancement compared to DCK(-) tumors in vivo.
  • dC-enhanced CEST contrast correlated well with tumor response to gemcitabine treatment.

Conclusions:

  • A novel, natural MRI method can detect DCK activity using deoxycytidine.
  • This approach offers a noninvasive tool for assessing tumor resistance and predicting chemotherapy efficacy.
  • The method holds significant potential for personalized medicine by stratifying patients based on DCK activity.

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