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Methylation pattern analysis in prostate cancer tissue: identification of biomarkers using an MS-MLPA approach

Overview of attention for article published in Journal of Translational Medicine, August 2016
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Title
Methylation pattern analysis in prostate cancer tissue: identification of biomarkers using an MS-MLPA approach
Published in
Journal of Translational Medicine, August 2016
DOI 10.1186/s12967-016-1014-6
Pubmed ID
Authors

Giorgia Gurioli, Samanta Salvi, Filippo Martignano, Flavia Foca, Roberta Gunelli, Matteo Costantini, Giacomo Cicchetti, Ugo De Giorgi, Persio Dello Sbarba, Daniele Calistri, Valentina Casadio

Abstract

Epigenetic silencing mediated by CpG island methylation is a common feature of many cancers. Characterizing aberrant DNA methylation changes associated with prostate carcinogenesis could potentially identify a tumour-specific methylation pattern, facilitating the early diagnosis of prostate cancer. The objective of the study was to assess the methylation status of 40 tumour suppressor genes in prostate cancer and healthy prostatic tissues. We used methylation specific-multiplex ligation probe amplification (MS-MLPA) assay in two independent case series (training and validation set). The training set comprised samples of prostate cancer tissue (n = 40), healthy prostatic tissue adjacent to the tumor (n = 26), and healthy non prostatic tissue (n = 23), for a total of 89 DNA samples; the validation set was composed of 40 prostate cancer tissue samples and their adjacent healthy prostatic tissue, for a total of 80 DNA samples. Methylation specific-polymerase chain reaction (MSP) was used to confirm the results obtained in the validation set. We identified five highly methylated genes in prostate cancer: GSTP1, RARB, RASSF1, SCGB3A1, CCND2 (P < 0.0001), with an area under the ROC curve varying between 0.89 (95 % CI 0.82-0.97) and 0.95 (95 % CI 0.90-1.00). Diagnostic accuracy ranged from 80 % (95 % CI 70-88) to 90 % (95 % CI 81-96). Moreover, a concordance rate ranging from 83 % (95 % CI 72-90) to 89 % (95 % CI 80-95) was observed between MS-MLPA and MSP. Our preliminary results highlighted that hypermethylation of GSTP1, RARB, RASSF1, SCGB3A1 and CCND2 was highly tumour-specific in prostate cancer tissue.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Researcher 4 16%
Student > Ph. D. Student 4 16%
Other 3 12%
Student > Bachelor 3 12%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Agricultural and Biological Sciences 4 16%
Biochemistry, Genetics and Molecular Biology 3 12%
Nursing and Health Professions 1 4%
Unspecified 1 4%
Other 4 16%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 September 2016.
All research outputs
#14,858,822
of 22,884,315 outputs
Outputs from Journal of Translational Medicine
#1,978
of 4,004 outputs
Outputs of similar age
#205,079
of 336,882 outputs
Outputs of similar age from Journal of Translational Medicine
#39
of 79 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,004 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 44th percentile – i.e., 44% 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 336,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.