Suppr超能文献

卵巢癌患者的治疗算法

Treatment algorithm in patients with ovarian cancer.

作者信息

Vergote I, Denys H, De Greve J, Gennigens C, Van De Vijver K, Kerger J, Vuylsteke P, Baurain J F

机构信息

Department of Oncology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.

Department of Medical Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium.

出版信息

Facts Views Vis Obgyn. 2020 Oct 8;12(3):227-239.

Abstract

Most ovarian cancer patients are diagnosed only at advanced stages when survival outcomes are worse, andwhen therapeutic decisions might prove challenging. The fundamental treatment for women with ovarian cancerincludes debulking surgery whenever possible and appropriate systemic therapy (chemotherapy, targeted andantiangiogenic agents). In the last few years, knowledge about histological and molecular characteristics of ovariancancer subtypes and stages has increased considerably. This has enabled the development and improvement ofseveral options for the diagnosis and treatment of ovarian cancer in a patient-tailored approach. Accordingly,therapeutic decisions are guided by the characteristics of the patient and the tumour, especially the molecularfeatures of the cancer subtype and disease stage. Particularly relevant are the advances in early genetic testing ofgermline and somatic mutations involved in DNA repair, and the clinical development of targeted agents. In orderto implement the best individual medical strategies, in this article, we present an algorithm of treatment options,including recently developed targeted agents, for primary and recurrent ovarian cancer patients in Belgium.

摘要

大多数卵巢癌患者直到晚期才被诊断出来,此时生存预后较差,治疗决策也颇具挑战性。卵巢癌女性患者的基本治疗方法包括尽可能进行肿瘤细胞减灭术以及适当的全身治疗(化疗、靶向治疗和抗血管生成药物)。在过去几年里,关于卵巢癌亚型和分期的组织学及分子特征的知识有了显著增加。这使得能够以患者个体化的方式开发和改进多种卵巢癌诊断与治疗方案。因此,治疗决策以患者和肿瘤的特征为指导,尤其是癌症亚型和疾病分期的分子特征。特别相关的是参与DNA修复的胚系和体细胞突变早期基因检测的进展以及靶向药物的临床开发。为了实施最佳的个体化医疗策略,在本文中,我们提出了一种针对比利时原发性和复发性卵巢癌患者的治疗方案算法,包括最近开发的靶向药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9256/7580261/7e7f324f426c/FVVinObGyn-12-227-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验