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Blockage of glutaminolysis enhances the sensitivity of ovarian cancer cells to PI3K/mTOR inhibition involvement of STAT3 signaling

Overview of attention for article published in Tumor Biology, February 2016
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1 tweeter

Citations

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17 Mendeley
Title
Blockage of glutaminolysis enhances the sensitivity of ovarian cancer cells to PI3K/mTOR inhibition involvement of STAT3 signaling
Published in
Tumor Biology, February 2016
DOI 10.1007/s13277-016-4984-3
Pubmed ID
Authors

Lili Guo, Bo Zhou, Zhengqing Liu, Ying Xu, Hao Lu, Meng Xia, Ensong Guo, Wanying Shan, Gang Chen, Changyu Wang

Abstract

The PI3K/Akt/mTOR axis in ovarian cancer is frequently activated and implicated in tumorigenesis. Specific targeting of this pathway is therefore an attractive therapeutic approach for ovarian cancer. However, ovarian cancer cells are resistant to PP242, a dual inhibitor of mTORC1 and mTORC2. Interestingly, blockage of GLS1 with a selective inhibitor, CB839, or siRNA dramatically sensitized the PP242-induced cell death, as evident from increased PARP cleavage. The anti-cancer activity of CB-839 and PP242 was abrogated by the addition of the TCA cycle product α-ketoglutarate, indicating the critical function of GLS1 in ovarian cancer cell survival. Finally, glutaminolysis inhibition activated apoptosis and synergistically sensitized ovarian cancer cells to priming with the mTOR inhibitor PP242. GLS1 inhibition significantly reduced phosphorylated STAT3 expression in ovarian cancer cells. These findings show that targeting glutamine addiction via GLS1 inhibition offers a potential novel therapeutic strategy to overcome resistance to PI3K/Akt/mTOR inhibition.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 6 35%
Student > Master 2 12%
Other 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 41%
Agricultural and Biological Sciences 2 12%
Unspecified 2 12%
Medicine and Dentistry 2 12%
Neuroscience 2 12%
Other 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2016.
All research outputs
#11,047,383
of 12,428,622 outputs
Outputs from Tumor Biology
#1,514
of 2,359 outputs
Outputs of similar age
#231,361
of 276,224 outputs
Outputs of similar age from Tumor Biology
#174
of 265 outputs
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So far Altmetric has tracked 2,359 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.