Detection of myeloma in skeleton of mice by whole-body optical fluorescence imaging

Babatunde O Oyajobi1, Steve Muñoz, Rami Kakonen

  • 1Department of Cellular and Structural Biology MSC 7762, University of Texas Health Science Center at San Antonio, Texas 78229-3900, USA. oyajobi@uthscsa.edu

Insights

Developing new myeloma therapies requires better animal models. This study created a fluorescent myeloma model for in vivo imaging, enabling rapid assessment of new treatments and tracking tumor progression.

Area of Science:

  • Oncology
  • Biomedical Imaging
  • Translational Research

Background:

  • Preclinical models for multiple myeloma are limited in reliably detecting skeletal tumor burden.
  • Traditional methods for monitoring myeloma bone disease are labor-intensive and prevent temporal analysis.

Purpose of the Study:

  • To develop a novel preclinical model for multiple myeloma that allows for in vivo optical imaging of skeletal tumor foci.
  • To establish a method for temporal monitoring of tumor progression and response to therapy in a myeloma bone disease model.

Main Methods:

  • Engineered murine myeloma 5TGM1 cells to express enhanced green fluorescent protein (eGFP), creating 5TGM1-eGFP cells.
  • Utilized fluorescence imaging with a charge-coupled device camera to visualize myeloma tumors in the skeletons of live mice.
  • Administered Velcade (bortezomib) to assess the model's ability to detect therapeutic effects.

Main Results:

  • Myeloma cells (5TGM1-eGFP) selectively homed to the skeleton, forming focal lesions in the axial skeleton, mirroring human disease.
  • Whole-body GFP imaging enabled reliable, temporal monitoring of tumor growth and regression in response to Velcade treatment.
  • The imaging technique proved practical, convenient, inexpensive, and rapid for evaluating therapeutic efficacy.

Conclusions:

  • The 5TGM1-eGFP model provides a powerful tool for preclinical assessment of novel antimyeloma therapeutics.
  • GFP imaging facilitates sensitive and high-throughput monitoring of therapeutic response in vivo.
  • This approach accelerates the evaluation of potential myeloma treatments.

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