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Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype

Overview of attention for article published in PLOS ONE, March 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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5 X users
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4 patents

Citations

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36 Dimensions

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54 Mendeley
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2 CiteULike
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Title
Differential Analysis of Ovarian and Endometrial Cancers Identifies a Methylator Phenotype
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032941
Pubmed ID
Authors

Diana L. Kolbe, Julie A. DeLoia, Patricia Porter-Gill, Mary Strange, Hanna M. Petrykowska, Alfred Guirguis, Thomas C. Krivak, Lawrence C. Brody, Laura Elnitski

Abstract

Despite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary serous and endometrioid carcinomas. To address whether the morphological differences seen in these carcinomas represent distinct characteristics at the molecular level we analyzed DNA methylation patterns in 11 papillary serous tumors, 9 endometrioid ovarian tumors, 4 normal fallopian tube samples and 6 normal endometrial tissues, plus 8 normal fallopian tube and 4 serous samples from TCGA. For comparison within the endometrioid subtype we added 6 primary uterine endometrioid tumors and 5 endometrioid metastases from uterus to ovary. Data was obtained from 27,578 CpG dinucleotides occurring in or near promoter regions of 14,495 genes. We identified 36 locations with significant increases or decreases in methylation in comparisons of serous tumors and normal fallopian tube samples. Moreover, unsupervised clustering techniques applied to all samples showed three major profiles comprising mostly normal samples, serous tumors, and endometrioid tumors including ovarian, uterine and metastatic origins. The clustering analysis identified 60 differentially methylated sites between the serous group and the normal group. An unrelated set of 25 serous tumors validated the reproducibility of the methylation patterns. In contrast, >1,000 genes were differentially methylated between endometrioid tumors and normal samples. This finding is consistent with a generalized regulatory disruption caused by a methylator phenotype. Through DNA methylation analyses we have identified genes with known roles in ovarian carcinoma etiology, whereas pathway analyses provided biological insight to the role of novel genes. Our finding of differences between serous and endometrioid ovarian tumors indicates that intervention strategies could be developed to specifically address subtypes of epithelial ovarian cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 30%
Student > Ph. D. Student 9 17%
Student > Master 5 9%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 10 19%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Medicine and Dentistry 8 15%
Biochemistry, Genetics and Molecular Biology 5 9%
Computer Science 4 7%
Mathematics 2 4%
Other 5 9%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 October 2016.
All research outputs
#5,504,588
of 22,663,969 outputs
Outputs from PLOS ONE
#66,693
of 193,506 outputs
Outputs of similar age
#36,283
of 156,326 outputs
Outputs of similar age from PLOS ONE
#935
of 3,524 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 156,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 3,524 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 73% of its contemporaries.