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Viruses, Genes, and Cancer

Overview of attention for book
Attention for Chapter 6: Oncogenic Roles of the PI3K/AKT/mTOR Axis
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Chapter title
Oncogenic Roles of the PI3K/AKT/mTOR Axis
Chapter number 6
Book title
Viruses, Genes, and Cancer
Published in
Current topics in microbiology and immunology, May 2017
DOI 10.1007/82_2017_6
Pubmed ID
Book ISBNs
978-3-31-961803-6, 978-3-31-961804-3
Authors

Aoki, Masahiro, Fujishita, Teruaki, Masahiro Aoki, Teruaki Fujishita

Abstract

The PI3K/AKT/mTOR pathway is frequently activated in various human cancers and has been considered a promising therapeutic target. Many of the positive regulators of the PI3K/AKT/mTOR axis, including the catalytic (p110α) and regulatory (p85α), of class IA PI3K, AKT, RHEB, mTOR, and eIF4E, possess oncogenic potentials, as demonstrated by transformation assays in vitro and by genetically engineered mouse models in vivo. Genetic evidences also indicate their roles in malignancies induced by activation of the upstream oncoproteins including receptor tyrosine kinases and RAS and those induced by the loss of the negative regulators of the PI3K/AKT/mTOR pathway such as PTEN, TSC1/2, LKB1, and PIPP. Possible mechanisms by which the PI3K/AKT/mTOR axis contributes to oncogenic transformation include stimulation of proliferation, survival, metabolic reprogramming, and invasion/metastasis, as well as suppression of autophagy and senescence. These phenotypic changes are mediated by eIF4E-induced translation of a subset of mRNAs and by other downstream effectors of mTORC1 including S6K, HIF-1α, PGC-1α, SREBP, and ULK1 complex.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 15%
Student > Master 8 10%
Researcher 7 9%
Student > Ph. D. Student 7 9%
Professor 5 6%
Other 11 14%
Unknown 29 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 28%
Medicine and Dentistry 10 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Agricultural and Biological Sciences 2 3%
Immunology and Microbiology 2 3%
Other 5 6%
Unknown 34 43%
Attention Score in Context

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 28 May 2017.
All research outputs
#18,552,700
of 22,977,819 outputs
Outputs from Current topics in microbiology and immunology
#529
of 678 outputs
Outputs of similar age
#239,135
of 313,536 outputs
Outputs of similar age from Current topics in microbiology and immunology
#11
of 13 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 678 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% 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 313,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.