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ACS Pharmacology & Translational Science
Article . 2019 . Peer-reviewed
License: STM Policy #29
Data sources: Crossref
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Kidney-Type Glutaminase Inhibitor Hexylselen Selectively Kills Cancer Cells via a Three-Pronged Mechanism

Authors: Jennifer Jin Ruan; Yan Yu; Wei Hou; Zhao Chen; Jinzhang Fang; Jingjing Zhang; Muowei Ni; +6 Authors

Kidney-Type Glutaminase Inhibitor Hexylselen Selectively Kills Cancer Cells via a Three-Pronged Mechanism

Abstract

Tumor metabolism has been deeply investigated for cancer therapeutics. Here, we demonstrate that glutamine deficiency alone could not completely inhibit cancer cell growth and that many potent kidney-type glutaminase (KGA) inhibitors did not show satisfying in vivo efficacy. The potent KGA allosteric inhibitor, CB-839, resulted in up to 80% growth inhibition of all tested cell lines, whereas Hexylselen (CPD-3B), a KGA/glutamate dehydrogenase (GDH) inhibitor, showed essentially no toxicity to normal cells up to a 10 μM concentration and could completely inhibit the growth of many aggressive cell lines. Further analyses showed that CPD-3B targets not only KGA and GDH but also thioredoxin reductase (TrxR) and amidotransferase (GatCAB), which results in corresponding regulation of Akt/Erk/caspase-9 signaling pathways. In an aggressive liver cancer xenograft model, CPD-3B significantly reduced tumor size, caused massive tumor tissue damage, and prolonged survival rate. These provide important information for furthering the drug design of an effective anticancer KGA allosteric inhibitor.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
Cancer Research