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A microRNA/Runx1/Runx2 network regulates prostate tumor progression from onset to adenocarcinoma in TRAMP mice

Overview of attention for article published in Oncotarget, September 2016
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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2 tweeters
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1 Facebook page

Citations

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17 Dimensions

Readers on

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19 Mendeley
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Title
A microRNA/Runx1/Runx2 network regulates prostate tumor progression from onset to adenocarcinoma in TRAMP mice
Published in
Oncotarget, September 2016
DOI 10.18632/oncotarget.11992
Pubmed ID
Authors

Nicholas H. Farina, Areg Zingiryan, Jacqueline A. Akech, Cody J. Callahan, Huimin Lu, Janet L. Stein, Lucia R. Languino, Gary S. Stein, Jane B. Lian

Abstract

While decades of research have identified molecular pathways inducing and promoting stages of prostate cancer malignancy, studies addressing dynamic changes of cancer-related regulatory factors in a prostate tumor progression model are limited. Using the TRAMP mouse model of human prostate cancer, we address mechanisms of deregulation for the cancer-associated transcription factors, Runx1 and Runx2 by identifying microRNAs with reciprocal expression changes at six time points during 33 weeks of tumorigenesis. We molecularly define transition stages from PIN lesions to hyperplasia/neoplasia and progression to adenocarcinoma by temporal changes in expression of human prostate cancer markers, including the androgen receptor and tumor suppressors, Nkx3.1 and PTEN. Concomitant activation of PTEN, AR, and Runx factors occurs at early stages. At late stages, PTEN and AR are downregulated, while Runx1 and Runx2 remain elevated. Loss of Runx-targeting microRNAs, miR-23b-5p, miR-139-5p, miR-205-5p, miR-221-3p, miR-375-3p, miR-382-5p, and miR-384-5p, contribute to aberrant Runx expression in prostate tumors. Our studies reveal a Runx/miRNA interaction axis centered on PTEN-PI3K-AKT signaling. This regulatory network translates to mechanistic understanding of prostate tumorigenesis that can be developed for diagnosis and directed therapy.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Bachelor 3 16%
Student > Postgraduate 2 11%
Professor > Associate Professor 2 11%
Professor 2 11%
Other 3 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 37%
Medicine and Dentistry 2 11%
Engineering 2 11%
Agricultural and Biological Sciences 2 11%
Mathematics 1 5%
Other 4 21%
Unknown 1 5%

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 February 2018.
All research outputs
#7,891,112
of 12,576,527 outputs
Outputs from Oncotarget
#3,832
of 11,815 outputs
Outputs of similar age
#146,411
of 264,678 outputs
Outputs of similar age from Oncotarget
#268
of 929 outputs
Altmetric has tracked 12,576,527 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,815 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 57% 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 264,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 929 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 61% of its contemporaries.