Next Generation Sequencing and Molecular Biomarkers in Ovarian Cancer—An Opportunity for Targeted Therapy

Author:

Harbin Laura M.ORCID,Gallion Holly H.,Allison Derek B.ORCID,Kolesar Jill M.ORCID

Abstract

Ovarian cancer is the deadliest of all gynecologic malignancies claiming the lives of nearly 14,000 women in the United States annually. Despite therapeutic advances, the ovarian cancer mortality rate has remained stagnant since the 1980’s. The molecular heterogeneity of ovarian cancers suggest they may be more effectively treated via precision medicine. Current guidelines recommend germline and somatic testing for all new epithelial ovarian cancer diagnoses to assist providers in identifying candidates for targeted therapies. Next generation sequencing (NGS) identifies targetable, driver, and novel mutations used to guide treatment decisions. Performing NGS is standard of care in many other malignancies, but for ovarian cancer the use of NGS in daily practice is still emerging. This review discusses the targetable genetic mutations and role of NGS and molecular biomarker testing in the treatment of ovarian cancer.

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference70 articles.

1. Key Statistics for Ovarian Cancerhttps://www.cancer.org/cancer/ovarian-cancer/about/key-statistics.html

2. A Comprehensive Review of Ovarian Serous Carcinoma

3. High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints

4. New developments in molecular targeted therapy of ovarian cancer;Guan;Discov. Med.,2018

5. Multicenter Prospective Cohort Study of the Diagnostic Yield and Patient Experience of Multiplex Gene Panel Testing For Hereditary Cancer Risk

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