Literature DB >> 28277806

Epidemiology and treatment patterns of epithelial ovarian cancer.

Philip Jessmon1, Talia Boulanger2, Wei Zhou3, Pallavi Patwardhan3.   

Abstract

INTRODUCTION: While ovarian cancer (OC) is relatively rare, it remains one of the most fatal cancers. Lack of robust screening methods for eOC lead to detection of most cases at advanced stages, and most patients relapse following initial treatment. Areas covered: This review summarizes epidemiology and treatment patterns of epithelial ovarian cancer (eOC). MEDLINE, EMBASE, conference proceedings, and the Cochrane Library were searched using key terms and Medical Subject Headings for ovarian cancer, treatment patterns, and epidemiology to identify articles published from 2005-2015. Expert commentary: To improve early detection, future studies should focus on the identification of biomarkers that can detect asymptomatic disease. Following diagnosis and eventual relapse, response to first-line platinum appears to guide physicians' choice of subsequent therapies, but we do not understand what patients ultimately receive or its relationship to categories of response to first-line platinum. Improved understanding of later-line treatment patterns, by initial response to platinum, could correlate with overall outcomes among relapsed patients and promote development of more effective treatment guidelines. Novel treatment approaches, such as immunotherapies, would fulfill a need for an effective strategy against advanced stages of OC that results in fewer toxic side effects.

Entities:  

Keywords:  Epidemiology; epithelial ovarian cancer; incidence; ovarian cancer; patterns; prevalence; treatment

Mesh:

Substances:

Year:  2017        PMID: 28277806     DOI: 10.1080/14737140.2017.1299575

Source DB:  PubMed          Journal:  Expert Rev Anticancer Ther        ISSN: 1473-7140            Impact factor:   4.512


  42 in total

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4.  Analysis of Omics Data Reveals Nucleotide Excision Repair-Related Genes Signature in Highly-Grade Serous Ovarian Cancer to Predict Prognosis.

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Journal:  Oncoimmunology       Date:  2017-12-26       Impact factor: 8.110

9.  Expression and prognostic value of CLIC1 in epithelial ovarian cancer.

Authors:  Wentao Yu; Ran Cui; Hong Qu; Chongdong Liu; Haiteng Deng; Zhenyu Zhang
Journal:  Exp Ther Med       Date:  2018-03-28       Impact factor: 2.447

10.  An Italian National Survey on Ovarian Cancer Treatment at first diagnosis. There's None so Deaf as those who will not Hear.

Authors:  Vincenzo Dario Mandato; Federica Torricelli; Stefano Uccella; Debora Pirillo; Gino Ciarlini; Gabriele Ruffo; Gianluca Annunziata; Gloria Manzotti; Sandro Pignata; Lorenzo Aguzzoli
Journal:  J Cancer       Date:  2021-05-27       Impact factor: 4.207

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