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与HRDetect相比,ShallowHRD在家族性乳腺癌肿瘤中的性能初步评估。

Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors.

作者信息

Adel Jensen Louise, Baekgaard Caroline Hey, Larsen Mie Bohnensack, Boonen Susanne Eriksen, Bak Jylling Anne Marie, Hikmat Zainab, Hao Qin, van Overeem Hansen Thomas, Pedersen Inge Søkilde, Larsen Martin Jakob, Thomassen Mads

机构信息

Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.

Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

出版信息

Sci Rep. 2025 Aug 11;15(1):29442. doi: 10.1038/s41598-025-14122-9.

Abstract

Determining the Homologous Recombination Deficiency (HRD)-status of a malignant tumor is central in predicting patient response to specific treatments. Therefore, precise and cost-effective tools are needed for clinical implementation. HRDetect is widely regarded as a golden standard for determining HRD-status. In contrast, ShallowHRD is a simpler algorithm. However, it offers a more economical alternative optimized for Formalin-Fixed, Paraffin-Embedded tissue (FFPE) and potentially useful for most breast cancer patients. Data from shallow whole-genome sequencing (1-5X) on FFPE tissue and whole-genome sequencing (50X, and additionally downscaled to 5X) on fresh frozen tissue from 19 patients were analyzed using ShallowHRD and compared to the HRD-status attained by HRDetect using Receiver Operating Characteristic (ROC) curve analysis. Further, Spearman rank correlation was calculated to estimate the correlation between ShallowHRD and HRDetect scores, as well as between the three ShallowHRD datasets. The comparison of ShallowHRD to HRDetect displayed a significant specificity (85.7-100%) and sensitivity (80%) in all data groups. The ROC curve analyses illustrated that ShallowHRD displayed an area under the curve statistically similar to what was previously reported for HRDetect in all three data sets. The Spearman correlation also indicated significant correlation between ShallowHRD and HRDetect scores for the three datasets (HRDetect vs. FFPE (1-5X) (ρ = 0.68, p = 0.0013), Fresh Frozen (5X) (ρ = 0.58, p = 0.0086), and Fresh Frozen (50X) (ρ = 0.50, p = 0.029)). The ShallowHRD analysis was of good quality in all data groups, and the ShallowHRD scores were similar across data groups. One sample was incorrectly labeled as HRD-negative by ShallowHRD, but it contained one variant of unknown significance (VUS) in RAD51D, requiring further investigation. HRD-status from ShallowHRD correlated well with HRDetect output in this preliminary study, potentially making ShallowHRD an accurate, efficient, and more economical alternative for clinical use. However, further examination and validation in larger cohorts are required.

摘要

确定恶性肿瘤的同源重组缺陷(HRD)状态对于预测患者对特定治疗的反应至关重要。因此,临床应用需要精确且经济高效的工具。HRDetect被广泛视为确定HRD状态的金标准。相比之下,ShallowHRD是一种更简单的算法。然而,它为福尔马林固定石蜡包埋组织(FFPE)提供了一种更经济的优化选择,可能对大多数乳腺癌患者有用。使用ShallowHRD分析了来自19例患者的FFPE组织的浅层全基因组测序(1 - 5X)数据以及新鲜冷冻组织的全基因组测序(50X,并另外缩减至5X)数据,并通过接受者操作特征(ROC)曲线分析将其与HRDetect获得的HRD状态进行比较。此外,计算了Spearman等级相关性,以估计ShallowHRD与HRDetect分数之间以及三个ShallowHRD数据集之间的相关性。ShallowHRD与HRDetect的比较在所有数据组中显示出显著的特异性(85.7 - 100%)和敏感性(80%)。ROC曲线分析表明,在所有三个数据集中,ShallowHRD显示出的曲线下面积在统计学上与先前报道的HRDetect相似。Spearman相关性还表明,三个数据集的ShallowHRD与HRDetect分数之间存在显著相关性(HRDetect与FFPE(1 - 5X)(ρ = 0.68,p = 0.0013),新鲜冷冻(5X)(ρ = 0.58,p = 0.0086),以及新鲜冷冻(50X)(ρ = 0.50,p = 0.029))。ShallowHRD分析在所有数据组中质量良好,并且ShallowHRD分数在各数据组之间相似。一个样本被ShallowHRD错误标记为HRD阴性,但它在RAD51D中包含一个意义未明的变异(VUS),需要进一步调查。在这项初步研究中,ShallowHRD的HRD状态与HRDetect的输出结果相关性良好,这可能使ShallowHRD成为临床使用中准确、高效且更经济的替代方法。然而,需要在更大的队列中进行进一步检查和验证。

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