An Overview of Candidate Therapeutic Target Genes in Ovarian Cancer

Author:

Alexandrova ElenaORCID,Pecoraro Giovanni,Sellitto AssuntaORCID,Melone Viola,Ferravante Carlo,Rocco Teresa,Guacci Anna,Giurato GiorgioORCID,Nassa GiovanniORCID,Rizzo FrancescaORCID,Weisz AlessandroORCID,Tarallo RobertaORCID

Abstract

Ovarian cancer (OC) shows the highest mortality rate among gynecological malignancies and, because of the absence of specific symptoms, it is frequently diagnosed at an advanced stage, mainly due to the lack of specific and early biomarkers, such as those based on cancer molecular signature identification. Indeed, although significant progress has been made toward improving the clinical outcome of other cancers, rates of mortality for OC are essentially unchanged since 1980, suggesting the need of new approaches to identify and characterize the molecular mechanisms underlying pathogenesis and progression of these malignancies. In addition, due to the low response rate and the high frequency of resistance to current treatments, emerging therapeutic strategies against OC focus on targeting single factors and pathways specifically involved in tumor growth and metastasis. To date, loss-of-function screenings are extensively applied to identify key drug targets in cancer, seeking for more effective, disease-tailored treatments to overcome lack of response or resistance to current therapies. We review here the information relative to essential genes and functional pathways recently discovered in OC, often strictly interconnected with each other and representing promising biomarkers and molecular targets to treat these malignancies.

Funder

Associazione Italiana per la Ricerca sul Cancro

Regione Campania

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference167 articles.

1. Global Cancer Observatory GLOBOCANhttp://gco.iarc.fr/today/data/factsheets/cancers/25-Ovary-fact-sheet.pdf

2. Cancer Tomorrow Powered by GLOBOCANhttps://gco.iarc.fr/tomorrow/home

3. Epigenetic therapy for ovarian cancer: promise and progress

4. Lifetime ovulatory cycles and ovarian cancer risk in 2 Italian case-control studies

5. Characteristics Relating to ovarian Cancer Risk: Collaborative Analysis of 12 US case-Control Studies

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3