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The association between Histone 3 Lysine 27 Trimethylation (H3K27me3) and prostate cancer: relationship with clinicopathological parameters

Overview of attention for article published in BMC Cancer, December 2014
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Title
The association between Histone 3 Lysine 27 Trimethylation (H3K27me3) and prostate cancer: relationship with clinicopathological parameters
Published in
BMC Cancer, December 2014
DOI 10.1186/1471-2407-14-994
Pubmed ID
Authors

Marjolaine Ngollo, Andre Lebert, Aslihan Dagdemir, Gaelle Judes, Seher Karsli-Ceppioglu, Marine Daures, Jean-Louis Kemeny, Frederique Penault-Llorca, Jean-Paul Boiteux, Yves-Jean Bignon, Laurent Guy, Dominique Bernard-Gallon

Abstract

It is well established that genetic and epigenetic alterations are common events in prostate cancer, which may lead to aberrant expression of critical genes. The importance of epigenetic mechanisms in prostate cancer carcinogenesis is increasingly evident. In this study, the focus will be on histone modifications and the primary objectives are to map H3K27me3 marks and quantify RAR beta 2, ER alpha, SRC3, RGMA, PGR, and EZH2 gene expressions in prostate cancer tissues compared to normal tissues. In addition, a data analysis was made in connection with the clinicopathological parameters.Patients and methods: 71 normal specimens and 66 cancer prostate tissues were randomly selected in order to assess the proportion of the repressive H3K27me3 chromatin marks and gene expression. H3K27me3 level was evaluated by ChIP-qPCR and mRNA expression using RT-qPCR between prostate cancer and normal tissues. Subsequently, western-blotting was performed for protein detection. The analysis of variance (ANOVA) was performed, and Tukey's test was used to correct for multiple comparisons (p-value threshold of 0.05). The principal component analysis (PCA) and discriminant factorial analysis (DFA) were used to explore association between H3K27me3 level and clinicopathological parameters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Lecturer 2 13%
Student > Bachelor 2 13%
Student > Postgraduate 2 13%
Professor 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Engineering 3 19%
Medicine and Dentistry 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 6 38%
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 24 December 2014.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from BMC Cancer
#6,485
of 8,286 outputs
Outputs of similar age
#295,563
of 352,836 outputs
Outputs of similar age from BMC Cancer
#125
of 147 outputs
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We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.