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IAPP-driven metabolic reprogramming induces regression of p53-deficient tumours in vivo

Overview of attention for article published in Nature, November 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
24 X users
weibo
1 weibo user
facebook
1 Facebook page

Readers on

mendeley
177 Mendeley
citeulike
2 CiteULike
Title
IAPP-driven metabolic reprogramming induces regression of p53-deficient tumours in vivo
Published in
Nature, November 2014
DOI 10.1038/nature13910
Pubmed ID
Authors

Avinashnarayan Venkatanarayan, Payal Raulji, William Norton, Deepavali Chakravarti, Cristian Coarfa, Xiaohua Su, Santosh K. Sandur, Marc S. Ramirez, Jaehuk Lee, Charles V. Kingsley, Eliot F. Sananikone, Kimal Rajapakshe, Katherine Naff, Jan Parker-Thornburg, James A. Bankson, Kenneth Y. Tsai, Preethi H. Gunaratne, Elsa R. Flores

Abstract

TP53 is commonly altered in human cancer, and Tp53 reactivation suppresses tumours in vivo in mice (TP53 and Tp53 are also known as p53). This strategy has proven difficult to implement therapeutically, and here we examine an alternative strategy by manipulating the p53 family members, Tp63 and Tp73 (also known as p63 and p73, respectively). The acidic transactivation-domain-bearing (TA) isoforms of p63 and p73 structurally and functionally resemble p53, whereas the ΔN isoforms (lacking the acidic transactivation domain) of p63 and p73 are frequently overexpressed in cancer and act primarily in a dominant-negative fashion against p53, TAp63 and TAp73 to inhibit their tumour-suppressive functions. The p53 family interacts extensively in cellular processes that promote tumour suppression, such as apoptosis and autophagy, thus a clear understanding of this interplay in cancer is needed to treat tumours with alterations in the p53 pathway. Here we show that deletion of the ΔN isoforms of p63 or p73 leads to metabolic reprogramming and regression of p53-deficient tumours through upregulation of IAPP, the gene that encodes amylin, a 37-amino-acid peptide co-secreted with insulin by the β cells of the pancreas. We found that IAPP is causally involved in this tumour regression and that amylin functions through the calcitonin receptor (CalcR) and receptor activity modifying protein 3 (RAMP3) to inhibit glycolysis and induce reactive oxygen species and apoptosis. Pramlintide, a synthetic analogue of amylin that is currently used to treat type 1 and type 2 diabetes, caused rapid tumour regression in p53-deficient thymic lymphomas, representing a novel strategy to target p53-deficient cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Sweden 1 <1%
South Africa 1 <1%
Singapore 1 <1%
France 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 166 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 26%
Student > Ph. D. Student 45 25%
Other 15 8%
Student > Bachelor 12 7%
Student > Master 12 7%
Other 28 16%
Unknown 19 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 37%
Biochemistry, Genetics and Molecular Biology 47 27%
Medicine and Dentistry 24 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Chemistry 3 2%
Other 12 7%
Unknown 22 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 12 May 2015.
All research outputs
#738,882
of 26,017,215 outputs
Outputs from Nature
#27,722
of 99,074 outputs
Outputs of similar age
#8,971
of 374,403 outputs
Outputs of similar age from Nature
#445
of 973 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 374,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 973 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.