Suppr超能文献

选择合适的生物标志物以监测绝经前雌激素受体阳性乳腺癌患者卵巢功能抑制的有效性。

Selection of appropriate biomarkers to monitor effectiveness of ovarian function suppression in pre-menopausal patients with ER+ breast cancer.

作者信息

McCann Kelly E, Goldfarb Shari B, Traina Tiffany A, Regan Meredith M, Vidula Neelima, Kaklamani Virginia

机构信息

University of California Los Angeles Medical Center, Los Angeles, CA, 90095, USA.

Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

出版信息

NPJ Breast Cancer. 2024 Jan 19;10(1):8. doi: 10.1038/s41523-024-00614-w.

Abstract

Use of gonadotropin-releasing hormone (GnRH) agonists has been widely adopted to provide reversible ovarian function suppression for pre-menopausal breast cancer patients who are also receiving aromatase inhibitor or tamoxifen therapy based on results of 25 randomized trials representing almost 15,000 women demonstrating a survival benefit with this approach. Past clinical trials designed to establish the efficacy of GnRH agonists have monitored testosterone in the prostate cancer setting and estradiol in the breast cancer setting. We explore the merits of various biomarkers including estradiol, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) and their utility for informing GnRH agonist treatment decisions in breast cancer. Estradiol remains our biomarker of choice in ensuring adequate ovarian function suppression with GnRH agonist therapy among pre-menopausal women with breast cancer. We recommend future trials to continue to focus on estradiol levels as the primary endpoint, as they have in the past.

摘要

基于25项随机试验(涉及近15000名女性)的结果,促性腺激素释放激素(GnRH)激动剂已被广泛用于为接受芳香化酶抑制剂或他莫昔芬治疗的绝经前乳腺癌患者提供可逆的卵巢功能抑制,该方法显示出生存获益。过去旨在确定GnRH激动剂疗效的临床试验在前列腺癌环境中监测睾酮,在乳腺癌环境中监测雌二醇。我们探讨了包括雌二醇、促卵泡生成素(FSH)和促黄体生成素(LH)在内的各种生物标志物的优点及其在指导乳腺癌GnRH激动剂治疗决策中的作用。在确保乳腺癌绝经前女性接受GnRH激动剂治疗时充分抑制卵巢功能方面,雌二醇仍然是我们的首选生物标志物。我们建议未来的试验继续像过去一样,将重点放在雌二醇水平作为主要终点上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8015/10798954/cec5c84518d4/41523_2024_614_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验