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Poly(ADP-ribose) polymerase as a novel regulator of 17β-estradiol-induced cell growth through a control of the estrogen receptor/IGF-1 receptor/PDZK1 axis

Overview of attention for article published in Journal of Translational Medicine, July 2015
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Title
Poly(ADP-ribose) polymerase as a novel regulator of 17β-estradiol-induced cell growth through a control of the estrogen receptor/IGF-1 receptor/PDZK1 axis
Published in
Journal of Translational Medicine, July 2015
DOI 10.1186/s12967-015-0589-7
Pubmed ID
Authors

Hogyoung Kim, Abdelmetalab Tarhuni, Zakaria Y Abd Elmageed, A Hamid Boulares

Abstract

We and others have extensively investigated the role of PARP-1 in cell growth and demise in response to pathophysiological cues. Most of the clinical trials on PARP inhibitors are targeting primarily estrogen receptor (ER) negative cancers with BRCA-deficiency. It is surprising that the role of the enzyme has yet to be investigated in ER-mediated cell growth. It is noteworthy that ER is expressed in the majority of breast cancers. We recently showed that the scaffolding protein PDZK1 is critical for 17β-estradiol (E2)-induced growth of breast cancer cells. We demonstrated that E2-induced PDZK1 expression is indirectly regulated by ER and requires IGF-1 receptor (IGF-1R). The breast cancer cell lines MCF-7 and BT474 were used as ER(+) cell culture models. Thieno[2,3-c]isoquinolin-5-one (TIQ-A) and olaparib (AZD2281) were used as potent inhibitors of PARP. PARP-1 knockdown by shRNA was used to show specificity of the effects to PARP-1. In this study, we aimed to determine the effect of PARP inhibition on estrogen-induced growth of breast cancer cells and examine whether the potential effect is linked to PDZK1 and IGF-1R expression. Our results show that PARP inhibition pharmacologically by TIQ-A or olaparib or by PARP-1 knockdown blocked E2-dependent growth of MCF-7 cells. Such inhibitory effect was also observed in olaparib-treated BT474 cells. The effect of PARP inhibition on cell growth coincided with an efficient reduction in E2-induced PDZK1 expression. This effect was accompanied by a similar decrease in the cell cycle protein cyclin D1. PARP appeared to regulate E2-induced PDZK1 at the mRNA level. Such regulation may be linked to a modulation of IGF-1R as PARP inhibition pharmacologically or by PARP-1 knockdown efficiently reduced E2-induced expression of the receptor at the protein and mRNA levels. Overall, our results show for the first time that PARP regulates E2-mediated cell growth by controlling the ER/IGF-1R/PDZK1 axis. These findings suggest that the relationship between ER, PDZK1, and IGF-1R may be perturbed by blocking PARP function and that PARP inhibitors may be considered in clinical trials on ER(+) cancers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Professor 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 6 55%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Economics, Econometrics and Finance 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 6 55%
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 18 July 2015.
All research outputs
#18,820,431
of 23,323,574 outputs
Outputs from Journal of Translational Medicine
#3,029
of 4,117 outputs
Outputs of similar age
#170,042
of 235,608 outputs
Outputs of similar age from Journal of Translational Medicine
#103
of 108 outputs
Altmetric has tracked 23,323,574 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 4,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 17th percentile – i.e., 17% 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 235,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.