Related Experiment Video
Updated: Feb 11, 2026

Production of Adeno-Associated Virus Vectors in Cell Stacks for Preclinical Studies in Large Animal Models
Published on: June 30, 2021
Predictions from a preclinical model: studies of aromatase inhibitors and antiestrogens
Angela Brodie1, Danijela Jelovac, Brian J Long
1Department of Pharmacology and Experimental Therapeutics, University of Maryland School of Medicine, Baltimore, Maryland 21202-1559, USA. abrodie@umaryland.edu
Abstract:
We have developed a tumor model for studying the effects of aromatase inhibitors and antiestrogens in vivo. The model simulates postmenopausal breast cancer patients with estrogen-dependent tumors. This model utilizes human estrogen-dependent breast cancer cells transfected with the aromatase gene (MCF-7(CA)), which are inoculated in Matrigel s.c. into ovariectomized nude mice. The estrogen receptor-positive cells produce sufficient estrogen by aromatization to stimulate their proliferation and the formation of tumors in the mice. Using several different strategies, we have compared the aromatase inhibitors (letrozole and anastrozole) with antiestrogens (tamoxifen and fulvestrant). Aromatase inhibitors were more effective than tamoxifen and were more effective alone than when combined with antiestrogens. In addition, letrozole had a longer duration of effect than tamoxifen. The possibility of delaying the development of resistance to antiestrogens and aromatase inhibitors was investigated by alternating letrozole with tamoxifen every 4 weeks. However, although alternating treatment proved more effective than tamoxifen alone (tumors doubled in 16 weeks), tumors doubled in volume at about 18 weeks when treatment began with tamoxifen. When treatment started with letrozole and alternated with tamoxifen, tumors doubled in volume in about 22 weeks. However, tumors of mice treated with letrozole alone did not double in size until 35 weeks. These results demonstrate that this aromatase inhibitor is more effective and has a longer duration of response as a single agent than tamoxifen or in combination with tamoxifen.
Related Concept Videos
Eukaryotic Transcription Inhibitors
Eukaryotic transcription inhibitors usually contain two distinct domains, a...
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Preclinical Development: Overview
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...

