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Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy

Overview of attention for article published in PLOS ONE, December 2017
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy
Published in
PLOS ONE, December 2017
DOI 10.1371/journal.pone.0189051
Pubmed ID
Authors

Maya Saison-Ridinger, Kathleen E. DelGiorno, Tejia Zhang, Annabelle Kraus, Randall French, Dawn Jaquish, Crystal Tsui, Galina Erikson, Benjamin T. Spike, Maxim N. Shokhirev, Christopher Liddle, Ruth T. Yu, Michael Downes, Ronald M. Evans, Alan Saghatelian, Andrew M. Lowy, Geoffrey M. Wahl

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by an extremely dense fibrotic stroma, which contributes to tumor growth, metastasis, and drug resistance. During tumorigenesis, quiescent pancreatic stellate cells (PSCs) are activated and become major contributors to fibrosis, by increasing growth factor signaling and extracellular matrix deposition. The p53 tumor suppressor is known to restrict tumor initiation and progression through cell autonomous mechanisms including apoptosis, cell cycle arrest, and senescence. There is growing evidence that stromal p53 also exerts anti-tumor activity by paracrine mechanisms, though a role for stromal p53 in PDAC has not yet been described. Here, we demonstrate that activation of stromal p53 exerts anti-tumor effects in PDAC. We show that primary cancer-associated PSCs (caPSCs) isolated from human PDAC express wild-type p53, which can be activated by the Mdm2 antagonist Nutlin-3a. Our work reveals that p53 acts as a major regulator of PSC activation and as a modulator of PDAC fibrosis. In vitro, p53 activation by Nutlin-3a induces profound transcriptional changes, which reprogram activated PSCs to quiescence. Using immunofluorescence and lipidomics, we have also found that p53 activation induces lipid droplet accumulation in both normal and tumor-associated fibroblasts, revealing a previously undescribed role for p53 in lipid storage. In vivo, treatment of tumor-bearing mice with the clinical form of Nutlin-3a induces stromal p53 activation, reverses caPSCs activation, and decreases fibrosis. All together our work uncovers new functions for stromal p53 in PDAC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 9 16%
Student > Master 8 14%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Other 4 7%
Unknown 14 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 30%
Agricultural and Biological Sciences 12 21%
Medicine and Dentistry 8 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 April 2018.
All research outputs
#6,461,354
of 25,775,807 outputs
Outputs from PLOS ONE
#94,067
of 224,664 outputs
Outputs of similar age
#114,065
of 448,576 outputs
Outputs of similar age from PLOS ONE
#1,075
of 3,452 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 224,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 58% 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 448,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 3,452 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 68% of its contemporaries.