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Metabolism in Cancer

Overview of attention for book
Attention for Chapter 3: Metabolic Reprogramming by the PI3K-Akt-mTOR Pathway in Cancer.
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3 tweeters

Citations

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6 Dimensions

Readers on

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83 Mendeley
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Chapter title
Metabolic Reprogramming by the PI3K-Akt-mTOR Pathway in Cancer.
Chapter number 3
Book title
Metabolism in Cancer
Published in
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, August 2016
DOI 10.1007/978-3-319-42118-6_3
Pubmed ID
Book ISBNs
978-3-31-942116-2, 978-3-31-942118-6
Authors

Evan C. Lien, Costas A. Lyssiotis, Lewis C. Cantley, Lien, Evan C., Lyssiotis, Costas A., Cantley, Lewis C.

Editors

Thorsten Cramer, Clemens A. Schmitt

Abstract

In the past decade, there has been a resurgence of interest in elucidating how metabolism is altered in cancer cells and how such dependencies can be targeted for therapeutic gain. At the core of this research is the concept that metabolic pathways are reprogrammed in cancer cells to divert nutrients toward anabolic processes to facilitate enhanced growth and proliferation. Importantly, physiological cellular signaling mechanisms normally tightly regulate the ability of cells to gain access to and utilize nutrients, posing a fundamental barrier to transformation. This barrier is often overcome by aberrations in cellular signaling that drive tumor pathogenesis by enabling cancer cells to make critical cellular decisions in a cell-autonomous manner. One of the most frequently altered pathways in human cancer is the PI3K-Akt-mTOR signaling pathway. Here, we describe mechanisms by which this signaling network is responsible for controlling cellular metabolism. Through both the post-translational regulation and the induction of transcriptional programs, the PI3K-Akt-mTOR pathway coordinates the uptake and utilization of multiple nutrients, including glucose, glutamine, nucleotides, and lipids, in a manner best suited for supporting the enhanced growth and proliferation of cancer cells. These regulatory mechanisms illustrate how metabolic changes in cancer are closely intertwined with oncogenic signaling pathways that drive tumor initiation and progression.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 11 13%
Student > Bachelor 7 8%
Student > Doctoral Student 5 6%
Student > Master 5 6%
Other 17 20%
Unknown 19 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 36%
Agricultural and Biological Sciences 13 16%
Medicine and Dentistry 6 7%
Immunology and Microbiology 4 5%
Unspecified 3 4%
Other 6 7%
Unknown 21 25%

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 15 September 2016.
All research outputs
#14,492,210
of 22,307,975 outputs
Outputs from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#91
of 170 outputs
Outputs of similar age
#165,776
of 286,875 outputs
Outputs of similar age from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#1
of 1 outputs
Altmetric has tracked 22,307,975 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 170 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 44th percentile – i.e., 44% 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 286,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them