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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PRMT2 and RORγ Expression Are Associated With Breast Cancer Survival Outcomes
|
|---|---|
| Published in |
Molecular Endocrinology, June 2014
|
| DOI | 10.1210/me.2013-1403 |
| Pubmed ID | |
| Authors |
Tae Gyu Oh, Peter Bailey, Eloise Dray, Aaron G. Smith, Joel Goode, Natalie Eriksson, John W. Funder, Peter J. Fuller, Evan R. Simpson, Wayne D. Tilley, Peter J. Leedman, Christine L. Clarke, Sean Grimmond, Dennis H. Dowhan, George E. O. Muscat |
| Abstract |
Protein arginine methyltransferases (PRMTs) methylate arginine residues on histones and target transcription factors that play critical roles in many cellular processes, including gene transcription, mRNA splicing, proliferation and differentiation. Recent studies have linked PRMT-dependent epigenetic marks and modifications to carcinogenesis and metastasis in cancer. However, the role of PRMT2-dependent signaling in breast cancer remains obscure. We demonstrate protein arginine methyltransferase-2 (PRMT2) mRNA expression was significantly decreased in breast cancer relative to normal breast. Gene expression profiling, Ingenuity and PPI network analysis after PRMT2-siRNA transfection into MCF-7 cells, revealed that PRMT2-dependent gene expression is involved in cell-cycle regulation and checkpoint control, chromosomal instability, DNA repair and carcinogenesis. For example, PRMT2 depletion: (i) increased p21 and decreased cyclinD1 expression in (several) breast cancer cell lines, (ii) decreased cell migration, (iii) induced an increase in nucleotide excision repair and homologous recombination DNA mismatch repair and (iv) increased the probability of distance metastasis free survival (DMFS). The expression of PRMT2 and retinoid-related orphan receptor gamma (RORγ) is inversely correlated in ER+ve breast cancer and increased RORγ expression increases DMFS. Furthermore, we found decreased expression of the PRMT2 dependent signature is significantly associated with increased probability of DMFS. Finally, weighted gene co-expression network analysis demonstrated a significant correlation between PRMT2-dependent genes, and cell-cycle checkpoint, kinetochore and DNA repair "circuits". Strikingly, these PRMT2-dependent "circuits" are correlated with pan-cancer metagene signatures associated with epithelial-mesenchymal transition (EMT) and chromosomal instability (CIN). This study demonstrates the role and significant correlation between a histone methyltransferase (PRMT2)-dependent signature, RORγ, the cell-cycle regulation, DNA repair "circuits", and breast cancer survival outcomes. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Researcher | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 19% |
| Medicine and Dentistry | 8 | 17% |
| Agricultural and Biological Sciences | 7 | 15% |
| Chemistry | 4 | 8% |
| Computer Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 14 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 14 August 2014.
All research outputs
#2,089,533
of 25,377,790 outputs
Outputs from Molecular Endocrinology
#292
of 9,960 outputs
Outputs of similar age
#20,331
of 243,428 outputs
Outputs of similar age from Molecular Endocrinology
#5
of 90 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,960 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 243,428 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 91% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.