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Identifying aggressive prostate cancer foci using a DNA methylation classifier

Overview of attention for article published in Genome Biology, January 2017
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3 X users

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Title
Identifying aggressive prostate cancer foci using a DNA methylation classifier
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-016-1129-3
Pubmed ID
Authors

Kamilla Mundbjerg, Sameer Chopra, Mehrdad Alemozaffar, Christopher Duymich, Ranjani Lakshminarasimhan, Peter W. Nichols, Manju Aron, Kimberly D. Siegmund, Osamu Ukimura, Monish Aron, ‬Mariana Stern, Parkash Gill, John D. Carpten, Torben F. Ørntoft, Karina D. Sørensen, Daniel J. Weisenberger, Peter A. Jones, Vinay Duddalwar, Inderbir Gill, Gangning Liang

Abstract

Slow-growing prostate cancer (PC) can be aggressive in a subset of cases. Therefore, prognostic tools to guide clinical decision-making and avoid overtreatment of indolent PC and undertreatment of aggressive disease are urgently needed. PC has a propensity to be multifocal with several different cancerous foci per gland. Here, we have taken advantage of the multifocal propensity of PC and categorized aggressiveness of individual PC foci based on DNA methylation patterns in primary PC foci and matched lymph node metastases. In a set of 14 patients, we demonstrate that over half of the cases have multiple epigenetically distinct subclones and determine the primary subclone from which the metastatic lesion(s) originated. Furthermore, we develop an aggressiveness classifier consisting of 25 DNA methylation probes to determine aggressive and non-aggressive subclones. Upon validation of the classifier in an independent cohort, the predicted aggressive tumors are significantly associated with the presence of lymph node metastases and invasive tumor stages. Overall, this study provides molecular-based support for determining PC aggressiveness with the potential to impact clinical decision-making, such as targeted biopsy approaches for early diagnosis and active surveillance, in addition to focal therapy.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 20%
Researcher 11 19%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 10 17%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 22 37%
Biochemistry, Genetics and Molecular Biology 7 12%
Agricultural and Biological Sciences 7 12%
Computer Science 3 5%
Business, Management and Accounting 2 3%
Other 6 10%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 February 2017.
All research outputs
#15,091,901
of 25,374,647 outputs
Outputs from Genome Biology
#3,925
of 4,467 outputs
Outputs of similar age
#224,412
of 423,566 outputs
Outputs of similar age from Genome Biology
#54
of 63 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 12th percentile – i.e., 12% 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 423,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.