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AKT isoform-specific expression and activation across cancer lineages

Overview of attention for article published in BMC Cancer, July 2018
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Title
AKT isoform-specific expression and activation across cancer lineages
Published in
BMC Cancer, July 2018
DOI 10.1186/s12885-018-4654-5
Pubmed ID
Authors

Jue Wang, Wei Zhao, Huifang Guo, Yong Fang, Sarah Elizabeth Stockman, Shanshan Bai, Patrick Kwok-Shing Ng, Yang Li, Qinghua Yu, Yiling Lu, Kang Jin Jeong, Xiaohua Chen, Meng Gao, Jiyong Liang, Wentao Li, Xingsong Tian, Eric Jonasch, Gordon B. Mills, Zhiyong Ding

Abstract

Aberrant AKT activation is prevalent across human cancer lineages, providing an important therapeutic target. AKT comprises three isoforms that mediate critical non-redundant, even opposing functions in cancer pathophysiology. Therefore, targeting specific AKT isoforms in particular cancers may be more effective than pan-AKT inhibition while avoiding disadvantages of pan-AKT inhibition. Currently, AKT isoform-specific expression and activation in cancer are not clearly characterized. We systematically characterized AKT isoform-specific expression and activation in 211 cancer cell lines derived from different lineages and genetic backgrounds using a reverse-phase protein array platform. We found that phosphorylation, but not expression, of AKT1 and AKT2 was coordinated in most but not all cells. Different cancer lineages displayed differential AKT1 and AKT2 expression and phosphorylation. A PIK3CA hotspot mutation H1047R but not E545K was associated with selective activation of AKT2 but not AKT1. Our study identified and validated AKT isoform-specific expression and phosphorylation in certain cell lines and demonstrated that genetic changes can affect AKT isoform-specific activation. These results provide a more precise understanding of AKT isoform-specific signaling and, in addition, facilitate AKT isoform targeting for personalized cancer therapies.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 20%
Researcher 8 16%
Student > Master 6 12%
Student > Ph. D. Student 4 8%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 14 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Agricultural and Biological Sciences 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 12%
Medicine and Dentistry 3 6%
Immunology and Microbiology 2 4%
Other 6 12%
Unknown 14 27%