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Challenges and Opportunities in Studying the Epidemiology of Ovarian Cancer Subtypes

Overview of attention for article published in Current Epidemiology Reports, July 2017
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Title
Challenges and Opportunities in Studying the Epidemiology of Ovarian Cancer Subtypes
Published in
Current Epidemiology Reports, July 2017
DOI 10.1007/s40471-017-0115-y
Pubmed ID
Authors

Jennifer Anne Doherty, Lauren Cole Peres, Chen Wang, Gregory P. Way, Casey S. Greene, Joellen M. Schildkraut

Abstract

Only recently has it become clear that epithelial ovarian cancer (EOC) is comprised of such distinct histotypes--with different cells of origin, morphology, molecular features, epidemiologic factors, clinical features, and survival patterns-that they can be thought of as different diseases sharing an anatomical location. Herein, we review opportunities and challenges in studying EOC heterogeneity. The 2014 World Health Organization diagnostic guidelines incorporate accumulated evidence that high- and low-grade serous tumors have different underlying pathogenesis, and that, on the basis of shared molecular features, most high grade tumors, including some previously classified as endometrioid, are now considered to be high-grade serous. At the same time, several studies have reported that high-grade serous EOC, which is the most common histotype, is itself made up of reproducible subtypes discernable by gene expression patterns. These major advances in understanding set the stage for a new era of research on EOC risk and clinical outcomes with the potential to reduce morbidity and mortality. We highlight the need for multidisciplinary studies with pathology review using the current guidelines, further molecular characterization of the histotypes and subtypes, inclusion of women of diverse racial/ethnic and socioeconomic backgrounds, and updated epidemiologic and clinical data relevant to current generations of women at risk of EOC.

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Mendeley readers

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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 %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Bachelor 7 13%
Other 5 9%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 7 13%
Unknown 19 35%
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Biochemistry, Genetics and Molecular Biology 13 24%
Agricultural and Biological Sciences 4 7%
Environmental Science 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 20 37%
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 12 December 2017.
All research outputs
#20,921,589
of 23,552,911 outputs
Outputs from Current Epidemiology Reports
#1
of 1 outputs
Outputs of similar age
#274,000
of 313,701 outputs
Outputs of similar age from Current Epidemiology Reports
#1
of 1 outputs
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