Leveraging Off-Target Reads in Panel Sequencing for Homologous Recombination Repair Deficiency Screening in Tumor

IF 3.4 3区 医学 Q1 PATHOLOGY Journal of Molecular Diagnostics Pub Date : 2024-03-22 DOI:10.1016/j.jmoldx.2024.02.008
Markus Ball , Iordanis Ourailidis , Klaus Kluck , Michael Menzel , Martina Kirchner , Michael Allgäuer , Timothy Kwang Yong Tay , Fabian Schnecko , Anna-Lena Volckmar , Hannah Goldschmid , Olaf Neuman , Stefan Fröhling , Peter Schirmacher , Jan Budczies , Albrecht Stenzinger , Daniel Kazdal
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Abstract

Targeted tumor only sequencing has become a standard practice in cancer diagnostics. This study aims to develop an approach for robust copy number variant calling in tumor samples using only off-target region (OTR) reads. We also established a clinical use case for homologous recombination deficiency (HRD) score estimation (HRDest) using the sum of telomeric-allelic imbalance and large-scale state transition scores without the need for loss of heterozygosity information. A strong correlation was found between HRD score and the sum of telomeric-allelic imbalance + large-scale state transition in The Cancer Genome Atlas cohort (ρ = 0.99, P < 2.2 × 10−16) and in a clinical in-house cohort of 34 tumors (ρ = 0.9, P = 5.1 × 10−13) comparing whole-exome sequencing and targeted sequencing data. HRDest scores from 1086 clinical cases were compared with The Cancer Genome Atlas data set. There were no significant differences in HRD score distribution within the analyzed tumor types. As a control, commercially available HRD standards were also sequenced, and the HRDest scores obtained from the OTR reads were well within the HRD reference range provided by the manufacturer. In conclusion, OTR reads of tumor-only panel sequencing can be used to determine genome-wide copy number variant profiles and to approximate HRD scores.

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利用面板测序中的脱靶读数筛选肿瘤中的同源重组修复缺陷。
仅靶向肿瘤测序已成为癌症诊断的标准做法。本研究旨在开发一种仅使用非目标区域(OTR)读数在肿瘤样本中进行稳健拷贝数变异(CNV)调用的方法。我们还建立了一个临床用例,利用端粒等位基因不平衡(TAI)和大规模状态转换(LST)得分之和估算同源重组缺陷(HRD)得分(HRDest),而无需杂合度丢失(LOH)信息。我们在TCGA队列(rho = 0.99,p < 2.2x 10-16)和34个肿瘤的临床内部队列(rho = 0.9,p = 5.1 x 10-13)中比较了WES和靶向测序数据,结果表明HRD得分与TAI + LST总和之间存在很强的相关性。我们将1086个临床病例的HRDest得分与TCGA数据集进行了比较,结果表明在分析的肿瘤类型中,HRD得分分布没有明显差异。作为对照,我们还对市售的 HRD 标准进行了测序,从 OTR 读数中获得的 HRDest 分数完全在制造商提供的 HRD 参考范围内。总之,我们的研究表明,纯肿瘤面板测序的 OTR 读数可用于确定全基因组 CNV 图谱和近似 HRD 分数。
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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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