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A precision therapeutic strategy for hexokinase 1-null, hexokinase 2-positive cancers

Overview of attention for article published in Cancer & Metabolism, June 2018
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3 X users

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Title
A precision therapeutic strategy for hexokinase 1-null, hexokinase 2-positive cancers
Published in
Cancer & Metabolism, June 2018
DOI 10.1186/s40170-018-0181-8
Pubmed ID
Authors

Shili Xu, Arthur Catapang, Daniel Braas, Linsey Stiles, Hanna M. Doh, Jason T. Lee, Thomas G. Graeber, Robert Damoiseaux, Orian Shirihai, Harvey R. Herschman

Abstract

Precision medicine therapies require identification of unique molecular cancer characteristics. Hexokinase (HK) activity has been proposed as a therapeutic target; however, different hexokinase isoforms have not been well characterized as alternative targets. While HK2 is highly expressed in the majority of cancers, cancer subtypes with differential HK1 and HK2 expression have not been characterized for their sensitivities to HK2 silencing. HK1 and HK2 expression in the Cancer Cell Line Encyclopedia dataset was analyzed. A doxycycline-inducible shRNA silencing system was used to examine the effect of HK2 knockdown in cultured cells and in xenograft models of HK1-HK2+ and HK1+HK2+ cancers. Glucose consumption and lactate production rates were measured to monitor HK activity in cell culture, and 18F-FDG PET/CT was used to monitor HK activity in xenograft tumors. A high-throughput screen was performed to search for synthetically lethal compounds in combination with HK2 inhibition in HK1-HK2+ liver cancer cells, and a combination therapy for liver cancers with this phenotype was developed. A metabolomic analysis was performed to examine changes in cellular energy levels and key metabolites in HK1-HK2+ cells treated with this combination therapy. The CRISPR Cas9 method was used to establish isogenic HK1+HK2+ and HK1-HK2+ cell lines to evaluate HK1-HK2+ cancer cell sensitivity to the combination therapy. Most tumors express both HK1 and HK2, and subsets of cancers from a wide variety of tissues of origin express only HK2. Unlike HK1+HK2+ cancers, HK1-HK2+ cancers are sensitive to HK2 silencing-induced cytostasis. Synthetic lethality was achieved in HK1-HK2+ liver cancer cells, by the combination of DPI, a mitochondrial complex I inhibitor, and HK2 inhibition, in HK1-HK2+ liver cancer cells. Perhexiline, a fatty acid oxidation inhibitor, further sensitizes HK1-HK2+ liver cancer cells to the complex I/HK2-targeted therapeutic combination. Although HK1+HK2+ lung cancer H460 cells are resistant to this therapeutic combination, isogenic HK1KOHK2+ cells are sensitive to this therapy. The HK1-HK2+ cancer subsets exist among a wide variety of cancer types. Selective inhibition of the HK1-HK2+ cancer cell-specific energy production pathways (HK2-driven glycolysis, oxidative phosphorylation and fatty acid oxidation), due to the unique presence of only the HK2 isoform, appears promising to treat HK1-HK2+ cancers. This therapeutic strategy will likely be tolerated by most normal tissues, where only HK1 is expressed.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Bachelor 5 14%
Student > Master 4 11%
Student > Ph. D. Student 3 8%
Other 2 5%
Other 4 11%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 27%
Agricultural and Biological Sciences 4 11%
Medicine and Dentistry 4 11%
Arts and Humanities 2 5%
Chemistry 2 5%
Other 2 5%
Unknown 13 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 July 2018.
All research outputs
#15,012,809
of 23,094,276 outputs
Outputs from Cancer & Metabolism
#130
of 207 outputs
Outputs of similar age
#198,921
of 329,256 outputs
Outputs of similar age from Cancer & Metabolism
#4
of 4 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 207 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.