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卵巢癌同源重组缺陷检测的系统分析-最佳检测性能推荐的制定。

Systematic Analysis of Homologous Recombination Deficiency Testing in Ovarian Cancer-Development of Recommendations for Optimal Assay Performance.

机构信息

Institute of Pathology, Philipps-University Marburg, Marburg University Hospital, and University Cancer Center Frankfurt-Marburg, Marburg, Germany.

Myriad Genetics, Salt Lake City, Utah.

出版信息

Mod Pathol. 2024 Apr;37(4):100445. doi: 10.1016/j.modpat.2024.100445. Epub 2024 Feb 8.

Abstract

Homologous recombination deficiency (HRD) assays are an important element of personalized oncology in ovarian carcinomas, but the optimal tissue requirements for these complex molecular assays remain unclear. As a result, a considerable percentage of assays are not successful, leading to suboptimal diagnoses for these patients. In this study, we have systematically analyzed tumor and tissue parameters for HRD analysis in a large cohort of real-world cancer samples. The aim of this study is to give recommendations for pathologists and gynecologic oncologists for selection of tissue samples to maximize the success rate of HRD analyses. Tumor samples from 2702 patients were sent to the Institute of Pathology of the Philipps-University Marburg between October 2020 and September 2022, of which 2654 were analyzed using the Myriad MyChoice HRD+ CDx assay. A total of 2396 of 2654 samples (90.3%) were successfully tested, of which 984 of 2396 (41.1%) were HRD positive and 1412 (58.9%) were HRD negative. Three hundred sixty-three of 2396 samples (15.2%) were BRCA1/2-mutated; 27 samples had a BRCA1/2 mutation and a genomic instability score (GIS) < 42. Twenty-two samples (0.9%) failed GIS measurement but displayed a BRCA1/2 mutation. BRCA1/2-mutated samples showed significantly (P < .0001) higher GIS values than those with a wild-type BRCA1/2 status. Tumor cell content, tumor area, and histology significantly (P < .0001) affected the probability of successfully analyzing a sample. Based on a systematic analysis of tumor cell content and tumor area, we recommend selecting patient high-grade serous ovarian cancer samples that display a tumor cell content ≥30% and a tumor area ≥0.5 cm (based on their hematoxylin and eosin) for HRD testing to allow for optimal chances of a successful analysis and conclusive results. Considering histologic and sample conditions, success rates of up to 98% can be achieved. Our comprehensive evaluation contributes to further standardization of recommendations on HRD testing in ovarian cancer, which will have a large impact on personalized therapeutic strategies in this highly aggressive tumor type.

摘要

同源重组缺陷 (HRD) 检测是卵巢癌个体化肿瘤学的重要组成部分,但这些复杂分子检测的最佳组织要求仍不清楚。因此,相当一部分检测无法成功进行,导致这些患者的诊断不理想。在这项研究中,我们对大量真实世界癌症样本的 HRD 分析进行了肿瘤和组织参数的系统分析。本研究的目的是为病理学家和妇科肿瘤学家提供组织样本选择的建议,以最大限度地提高 HRD 分析的成功率。2020 年 10 月至 2022 年 9 月期间,共有 2702 名患者的肿瘤样本被送到马尔堡菲利普斯大学病理学研究所,其中 2654 名患者使用 Myriad MyChoice HRD+ CDx 检测进行分析。共有 2396 个样本中的 2396 个样本(90.3%)成功检测到,其中 984 个样本为 HRD 阳性,1412 个样本为 HRD 阴性。2396 个样本中有 363 个样本(15.2%)为 BRCA1/2 突变;27 个样本具有 BRCA1/2 突变和基因组不稳定性评分(GIS)<42。22 个样本(0.9%)的 GIS 测量失败,但显示 BRCA1/2 突变。BRCA1/2 突变样本的 GIS 值明显(P<0.0001)高于野生型 BRCA1/2 状态的样本。肿瘤细胞含量、肿瘤面积和组织学明显(P<0.0001)影响样本成功分析的概率。基于对肿瘤细胞含量和肿瘤面积的系统分析,我们建议选择肿瘤细胞含量≥30%和肿瘤面积≥0.5cm(基于苏木精和伊红)的患者高级别浆液性卵巢癌样本进行 HRD 检测,以获得最佳的分析成功率和明确的结果。考虑到组织学和样本条件,成功率可达 98%。我们的综合评估有助于进一步规范卵巢癌 HRD 检测建议,这将对这种高度侵袭性肿瘤类型的个体化治疗策略产生重大影响。

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