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About This Item
Empirical Formula (Hill Notation):
C19H22N6O3S
CAS Number:
Molecular Weight:
414.48
UNSPSC Code:
12352200
NACRES:
NA.77
MDL number:
Quality Level
assay
≥98% (HPLC)
form
powder
color
white to beige
solubility
DMSO: 2 mg/mL, clear
storage temp.
−20°C
SMILES string
NC1=NC=C(C2=NC3=C(C(N4CCOCC4)=N2)SC(C5(COC5)OC)=C3C)C=N1
InChI
1S/C19H22N6O3S/c1-11-13-14(29-15(11)19(26-2)9-28-10-19)17(25-3-5-27-6-4-25)24-16(23-13)12-7-21-18(20)22-8-12/h7-8H,3-6,9-10H2,1-2H3,(H2,20,21,22)
InChI key
XOZLHJMDLKDZAL-UHFFFAOYSA-N
Biochem/physiol Actions
GNE-317 is an orally active potent inhibitor against phosphoinositide 3-kinase (PI3K Ki = 2/α, 27/β, 7/δ, 7/γ) and mTOR (Ki = 9 nM). GNE-317 exhibits antiproliferation potency in glioblastoma cancer cultures (EC50 from 140 to 570 nM in seven cultures) and anti-tumor efficacy in mice in vivo (40 mg/kg/d for 2 wks, then 30 mg/kg/d after; U87, GS2, and GBM10 orthotopic models).
Orally active, potent phosphoinositide 3-kinase (PI3K) and mTOR inhibitor with anti-glioblastoma efficacy in cultures in mice in vivo.
Storage Class
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
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Modulating the tumor microenvironment via oncolytic virus and PI3K inhibition synergistically restores immune checkpoint therapy response in PTEN-deficient glioblastoma.
Fan Xing et al.
Signal transduction and targeted therapy, 6(1), 275-275 (2021-07-29)
Laurent Salphati et al.
Clinical cancer research : an official journal of the American Association for Cancer Research, 18(22), 6239-6248 (2012-09-21)
Glioblastoma (GBM), the most common primary brain tumor in adults, presents a high frequency of alteration in the PI3K pathway. Our objectives were to identify a dual PI3K/mTOR inhibitor optimized to cross the blood-brain barrier (BBB) and characterize its brain
Ravi S Narayan et al.
Nature communications, 11(1), 2935-2935 (2020-06-12)
Personalized cancer treatments using combinations of drugs with a synergistic effect is attractive but proves to be highly challenging. Here we present an approach to uncover the efficacy of drug combinations based on the analysis of mono-drug effects. For this