Suppr超能文献

ESMO 关于同源重组缺陷和 PARP 抑制剂在卵巢癌中获益的预测生物标志物检测的建议。

ESMO recommendations on predictive biomarker testing for homologous recombination deficiency and PARP inhibitor benefit in ovarian cancer.

机构信息

Department of Medical Oncology, University College London, London, UK; Department of Medical Oncology, St Bartholomew's Hospital, London, UK.

Department of Medicine and INSERM U981, Gustave Roussy Cancer Center, Université Paris-Saclay, Paris, France.

出版信息

Ann Oncol. 2020 Dec;31(12):1606-1622. doi: 10.1016/j.annonc.2020.08.2102. Epub 2020 Sep 28.

Abstract

BACKGROUND

Homologous recombination repair deficiency (HRD) is a frequent feature of high-grade serous ovarian, fallopian tube and peritoneal carcinoma (HGSC) and is associated with sensitivity to PARP inhibitor (PARPi) therapy. HRD testing provides an opportunity to optimise PARPi use in HGSC but methodologies are diverse and clinical application remains controversial.

MATERIALS AND METHODS

To define best practice for HRD testing in HGSC the ESMO Translational Research and Precision Medicine Working Group launched a collaborative project that incorporated a systematic review approach. The main aims were to (i) define the term 'HRD test'; (ii) provide an overview of the biological rationale and the level of evidence supporting currently available HRD tests; (iii) provide recommendations on the clinical utility of HRD tests in clinical management of HGSC.

RESULTS

A broad range of repair genes, genomic scars, mutational signatures and functional assays are associated with a history of HRD. Currently, the clinical validity of HRD tests in ovarian cancer is best assessed, not in terms of biological HRD status per se, but in terms of PARPi benefit. Clinical trials evidence supports the use of BRCA mutation testing and two commercially available assays that also incorporate genomic instability for identifying subgroups of HGSCs that derive different magnitudes of benefit from PARPi therapy, albeit with some variation by clinical scenario. These tests can be used to inform treatment selection and scheduling but their use is limited by a failure to consistently identify a subgroup of patients who derive no benefit from PARPis in most studies. Existing tests lack negative predictive value and inadequately address the complex and dynamic nature of the HRD phenotype.

CONCLUSIONS

Currently available HRD tests are useful for predicting likely magnitude of benefit from PARPis but better biomarkers are urgently needed to better identify current homologous recombination proficiency status and stratify HGSC management.

摘要

背景

同源重组修复缺陷(HRD)是高级别浆液性卵巢癌、输卵管癌和腹膜癌(HGSC)的常见特征,与对 PARP 抑制剂(PARPi)治疗的敏感性相关。HRD 检测为优化 HGSC 中 PARPi 的使用提供了机会,但方法多种多样,临床应用仍存在争议。

材料和方法

为了确定 HGSC 中 HRD 检测的最佳实践,ESMO 转化研究和精准医学工作组启动了一个合作项目,该项目采用了系统评价方法。主要目的是:(i)定义“HRD 检测”一词;(ii)概述支持当前可用 HRD 检测的生物学原理和证据水平;(iii)就 HRD 检测在 HGSC 临床管理中的临床实用性提供建议。

结果

广泛的修复基因、基因组疤痕、突变特征和功能测定与 HRD 病史有关。目前,HRD 检测在卵巢癌中的临床有效性最好不是根据生物学 HRD 状态本身来评估,而是根据 PARPi 获益来评估。临床试验证据支持使用 BRCA 突变检测和两种商业上可用的检测方法,这些方法还纳入基因组不稳定性,以确定从 PARPi 治疗中获得不同程度获益的 HGSC 亚组,尽管在不同的临床情况下存在一些差异。这些检测可用于告知治疗选择和计划,但由于在大多数研究中未能始终如一地识别出大多数 PARPi 获益无获益的患者亚组,因此其使用受到限制。现有的检测缺乏阴性预测值,并且不能充分解决 HRD 表型的复杂和动态性质。

结论

目前可用的 HRD 检测可用于预测 PARPi 获益的可能幅度,但迫切需要更好的生物标志物来更好地识别当前同源重组能力状态并分层管理 HGSC。

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