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Ovarian cancer: a molecularly insidious disease

Overview of attention for article published in Cancer Communications, June 2015
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Title
Ovarian cancer: a molecularly insidious disease
Published in
Cancer Communications, June 2015
DOI 10.5732/cjc.014.10301
Pubmed ID
Authors

Delia Mezzanzanica

Abstract

In this issue of the Chinese Journal of Cancer, European, American, and Chinese experts review the current management and future perspectives of epithelial ovarian cancer (EOC), the leading cause of gynecological cancer deaths. Although major advances have been made in understanding the cellular and molecular biology of this highly heterogeneous malignancy, the survival rate of women with EOC has changed little since the introduction of platinum-based treatment as a front-line therapy. The papers describe the progress in deciphering the molecular complexity of this disease and the newly available molecular-driven therapies, which have been applied by shifting trial designs toward restricting eligibility to specific subgroups of patients rather than testing agents in unselected populations. These new trial designs provide potential opportunities for improved efficacy in targeted populations. Given the molecular complexity of this disease, patient survival may be increased by searching for new molecular prognostic/predictive signatures as well as by translating the recent insight of microRNA involvement in EOC progression into new, targeted therapies. Particular attention has been given to the issue of fertility sparing for women affected by curable diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Researcher 2 15%
Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Biochemistry, Genetics and Molecular Biology 3 23%
Medicine and Dentistry 2 15%
Business, Management and Accounting 1 8%
Engineering 1 8%
Other 0 0%
Unknown 1 8%