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DNA damage repair in ovarian cancer: unlocking the heterogeneity

Overview of attention for article published in Journal of Ovarian Research, June 2018
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Title
DNA damage repair in ovarian cancer: unlocking the heterogeneity
Published in
Journal of Ovarian Research, June 2018
DOI 10.1186/s13048-018-0424-x
Pubmed ID
Authors

Mary Ellen Gee, Zahra Faraahi, Aiste McCormick, Richard J. Edmondson

Abstract

Treatment for advanced ovarian cancer is rarely curative; three quarters of patients with advanced disease relapse and ultimately die with resistant disease. Improving patient outcomes will require the introduction of new treatments and better patient selection. Abrogations in the DNA damage response (DDR) may allow such stratifications.A defective DNA-damage response (DDR) is a defining hallmark of high grade serous ovarian cancer (HGSOC). Indeed, current evidence indicates that all HGSOCs harbour a defect in at least one major DDR pathway. However, defective DDR is not mediated through a single mechanism but rather results from a variety of (epi)genetic lesions affecting one or more of the five major DNA repair pathways. Understanding the relationship between these pathways and how these are abrogated will be necessary in order to facilitate appropriate selection of both existing and novel agents.Here we review the current understanding of the DDR with regard to ovarian, and particularly high grade serous, cancer, with reference to existing and emerging treatments as appropriate.

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The data shown below were collected from the profile of 1 X user 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Researcher 13 14%
Student > Master 12 13%
Student > Doctoral Student 6 6%
Student > Bachelor 6 6%
Other 8 8%
Unknown 35 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 31%
Medicine and Dentistry 14 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 2 2%
Other 6 6%
Unknown 38 40%
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 22 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Journal of Ovarian Research
#441
of 604 outputs
Outputs of similar age
#287,398
of 328,081 outputs
Outputs of similar age from Journal of Ovarian Research
#10
of 12 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 328,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.