Molecular Classification of Endometrial Cancer and Its Impact on Therapy Selection

Author:

Galant Natalia1ORCID,Krawczyk Paweł1,Monist Marta2,Obara Adrian3,Gajek Łukasz3,Grenda Anna1,Nicoś Marcin1ORCID,Kalinka Ewa4ORCID,Milanowski Janusz1

Affiliation:

1. Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-090 Lublin, Poland

2. II Department of Gynecology, Medical University of Lublin, 20-090 Lublin, Poland

3. Institute of Genetics and Immunology GENIM LCC, 20-609 Lublin, Poland

4. Department of Oncology, Polish Mother’s Memorial Hospital-Research Institute, 93-338 Łódź, Poland

Abstract

Endometrial cancer (EC) accounts for 90% of uterine cancer cases. It is considered not only one of the most common gynecological malignancies but also one of the most frequent cancers among women overall. Nowadays, the differentiation of EC subtypes is based on immunohistochemistry and molecular techniques. It is considered that patients’ prognosis and the implementation of the appropriate treatment depend on the cancer subtype. Patients with pathogenic variants in POLE have the most favorable outcome, while those with abnormal p53 protein have the poorest. Therefore, in patients with POLE mutation, the de-escalation of postoperative treatment may be considered, and patients with abnormal p53 protein should be subjected to intensive adjuvant therapy. Patients with a DNA mismatch repair (dMMR) deficiency are classified in the intermediate prognosis group as EC patients without a specific molecular profile. Immunotherapy has been recognized as an effective treatment method in patients with advanced or recurrent EC with a mismatch deficiency. Thus, different adjuvant therapy approaches, including targeted therapy and immunotherapy, are being proposed depending on the EC subtype, and international guidelines, such as those published by ESMO and ESGO/ESTRO/ESP, include recommendations for performing the molecular classification of all EC cases. The decision about adjuvant therapy selection has to be based not only on clinical data and histological type and stage of cancer, but, following international recommendations, has to include EC molecular subtyping. This review describes how molecular classification could support more optimal therapeutic management in endometrial cancer patients.

Publisher

MDPI AG

Reference143 articles.

1. Endometrial Cancer;Makker;Nat. Rev. Dis. Primer,2021

2. (2024, February 26). Key Statistics for Endometrial Cancer. Available online: https://www.cancer.org/cancer/types/endometrial-cancer/about/key-statistics.html.

3. Cancer Progress and Priorities: Uterine Cancer;Felix;Cancer Epidemiol. Biomark. Prev.,2018

4. Diagnosis and Management of Endometrial Cancer;Braun;Am. Fam. Physician,2016

5. Endometrial Cancer: A Review and Current Management Strategies: Part I;Burke;Gynecol. Oncol.,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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