Supplementary Figure 2 from Interpreting Mammalian Target of Rapamycin and Cell Growth Inhibition in a Genetically Engineered Mouse Model of Nf1-Deficient Astrocytes
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posted on 2023-04-03, 13:23 authored by Sutapa Banerjee, Scott M. Gianino, Feng Gao, Uwe Christians, David H. GutmannSupplementary Figure 2 from Interpreting Mammalian Target of Rapamycin and Cell Growth Inhibition in a Genetically Engineered Mouse Model of Nf1-Deficient Astrocytes
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ARTICLE ABSTRACT
The identification of mammalian target of rapamycin (mTOR) as a major mediator of neurofibromatosis-1 (NF1) tumor growth has led to the initiation of clinical trials using rapamycin analogs. Previous studies from our laboratory have shown that durable responses to rapamycin treatment in a genetically engineered mouse model of Nf1 optic glioma require 20 mg/kg/day, whereas only transient tumor growth suppression was observed with 5 mg/kg/day rapamycin despite complete silencing of ribosomal S6 activity. To gain clinically relevant insights into the mechanism underlying this dose-dependent effect, we used Nf1-deficient glial cells in vitro and in vivo. First, there was an exponential relationship between blood and brain rapamycin levels. Second, we show that currently used biomarkers of mTOR pathway inhibition (phospho-S6, phospho-4EBP1, phospho-STAT3, and Jagged-1 levels) and tumor proliferation (Ki67) do not accurately reflect mTOR target inhibition or Nf1-deficient glial growth suppression. Third, the incomplete suppression of Nf1-deficient glial cell proliferation in vivo following 5 mg/kg/day rapamycin treatment reflects mTOR-mediated AKT activation, such that combined 5 mg/kg/day rapamycin and PI3-kinase (PI3K) inhibition or dual PI3K/mTOR inhibition recapitulates the growth suppressive effects of 20 mg/kg/day rapamycin. These new findings argue for the identification of more accurate biomarkers for rapamycin treatment response and provide reference preclinical data for comparing human rapamycin levels with target effects in the brain. Mol Cancer Ther; 10(2); 279–91. ©2011 AACR.Usage metrics
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