Suppr超能文献

PARP抑制剂与雄激素受体信号通路抑制剂联合用于晚期去势抵抗性前列腺癌:近期III期试验综述

Combination of the PARPi and ARSi in advanced castration resistant prostate cancer: a review of the recent phase III trials.

作者信息

Panebianco Martina, Cereda Vittore, D'Andrea Mario Rosario

机构信息

Medical Oncology of ASL Roma 4 Hospital, 00053 Civitavecchia, Italy.

出版信息

Explor Target Antitumor Ther. 2024;5(5):997-1010. doi: 10.37349/etat.2024.00260. Epub 2024 Aug 2.

Abstract

Tumors with an impaired ability to repair DNA double-strand breaks by homologous recombination, including those with alterations in breast cancer 1 and 2 ( and ) genes, are very sensitive to blocking DNA single-strand repair by inhibition of the poly (ADP-ribose) polymerase (PARP) enzyme. This provides the basis for a synthetic deadly strategy in the treatment of different types of cancer, such as prostate cancer (PCa). The phase 3 PROfound study was the first to lead to olaparib approval in patients with metastatic castration resistant PCa (mCRPC) and genes mutations. In recent years, the benefit of combination therapy consisted of a PARP inhibitor (PARPi) plus an androgen receptor signalling inhibitor (ARSi), was evaluated as first-line treatment of mCRPC, regardless of the mutational state of genes, participating in the homologous recombination repair (HRR). This review explores the role of PARPi in PCa and analyses the data of latest clinical trials exploring the PARPi-ARSi combinations, and how these results could change our clinical practice.

摘要

通过同源重组修复DNA双链断裂能力受损的肿瘤,包括那些乳腺癌1和2(BRCA1和BRCA2)基因发生改变的肿瘤,对通过抑制聚(ADP - 核糖)聚合酶(PARP)酶来阻断DNA单链修复非常敏感。这为治疗不同类型癌症(如前列腺癌(PCa))的合成致死策略提供了依据。3期PROfound研究首次使奥拉帕利获批用于治疗携带BRCA基因 突变的转移性去势抵抗性前列腺癌(mCRPC)患者。近年来,无论参与同源重组修复(HRR)的BRCA基因的突变状态如何,由PARP抑制剂(PARPi)加雄激素受体信号抑制剂(ARSi)组成的联合疗法作为mCRPC的一线治疗方案的疗效得到了评估。本综述探讨了PARPi在PCa中的作用,并分析了探索PARPi - ARSi联合疗法的最新临床试验数据,以及这些结果如何改变我们的临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d1/11438558/35a5ecacabd4/etat-05-1002260-g001.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