Related Experiment Videos
Exogenous gene expression in tumors: noninvasive quantification with functional and anatomic imaging in a mouse model
Dan Yang1, Lin Han, Vikas Kundra
1Division of Diagnostic Imaging, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Radiology
|May 26, 2005
Summary
This study demonstrates that combining functional (planar imaging, SPECT) and anatomic (MR imaging) techniques can noninvasively quantify somatostatin receptor type 2A (SSTR2A) gene expression in tumors.
Area of Science:
- * Molecular Imaging
- * Cancer Research
- * Gene Therapy
Background:
- * Noninvasive quantification of gene expression is crucial for monitoring therapeutic efficacy.
- * Somatostatin receptor type 2A (SSTR2A) is a key target in various cancers.
- * Current methods for assessing gene transfer in tumors have limitations.
Purpose of the Study:
- * To evaluate the utility of combined functional and anatomic imaging for in vivo quantification of SSTR2A gene chimera expression.
- * To correlate imaging findings with ex vivo measurements of gene expression and tumor weight.
Main Methods:
- * Animal models with varying levels of SSTR2A gene chimera expression were utilized.
- * Indium 111 octreotide was used as a radiopharmaceutical for functional imaging (planar and SPECT).
- * Magnetic resonance (MR) imaging was employed for anatomic assessment and tumor weight determination.
Main Results:
- * High correlations were observed between in vivo functional imaging (planar and SPECT) and ex vivo radiopharmaceutical uptake (r = 0.94 and r = 0.90, respectively).
- * Tumor weights derived from MR imaging strongly correlated with ex vivo measurements (r = 0.98).
- * Combined imaging accurately quantified gene transfer and tumor burden in vivo.
Conclusions:
- * A combination of functional and anatomic imaging techniques provides a reliable method for noninvasive quantification of gene transfer in tumors.
- * This approach holds promise for in vivo monitoring of gene therapy efficacy.
- * The study validates the use of multimodal imaging in preclinical cancer research.