Multimodality imaging of tumor response to doxil

Fan Zhang1, Lei Zhu, Gang Liu

  • 11. Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Theranostics
|July 21, 2011
PubMed
Abstract

Insights

Early molecular imaging detected apoptosis after one Doxil dose, preceding tumor shrinkage. Combining apoptosis, metabolism, and proliferation imaging is crucial for effective cancer treatment decisions.

Area of Science:

  • Oncology
  • Molecular Imaging
  • Cancer Biology

Background:

  • Early assessment of chemotherapy response is vital for personalized cancer treatment.
  • Monitoring tumor response to Doxil (doxorubicin HCl liposome injection) can optimize patient outcomes.
  • Apoptosis imaging offers a sensitive marker for early therapeutic effects.

Purpose of the Study:

  • To evaluate early tumor responses to Doxil using multi-modality molecular imaging.
  • To focus on imaging apoptosis as a primary indicator of Doxil treatment efficacy.
  • To correlate imaging findings with histological assessments of tumor response.

Main Methods:

  • Mice with human head and neck squamous cancer xenografts received Doxil or PBS.
  • Apoptosis was assessed using bioluminescence imaging (BLI) of a reporter gene.
  • (18)F-FDG and (18)F-FLT PET, DW-MRI, and histological analyses (TUNEL, Ki-67, CD31) were performed.

Main Results:

  • One dose of Doxil induced apoptosis detected by BLI before significant tumor shrinkage.
  • Decreased tumor metabolism and proliferation were observed later via PET imaging.
  • Apparent diffusion coefficients (ADCs) from MRI changed after two Doxil doses; histological analysis confirmed increased apoptosis and reduced proliferation.

Conclusions:

  • Apoptosis imaging with BLI provides an early indicator of Doxil's effect on tumors.
  • Integrating apoptosis imaging with assessments of metabolism and proliferation enhances clinical decision-making.
  • Multi-modal imaging strategies are essential for comprehensive evaluation of chemotherapy response in cancer.

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