PO.ET02.09 · 实验与分子治疗

Accelerating integrated tumor profiling with QIAseq xHYB Pro: A fast, modular approach to CGP and HRD assessment

海报缩略图:Accelerating integrated tumor profiling with QIAseq xHYB Pro: A fast, modular approach to CGP and HRD assessment
编号 473 展板 16 时间 4/19 02:00–05:00 区域 Section 19 主讲 Krishna Amin, BS
分会场 RNA, Gene and Cell Therapies, and Enabling Assay Technologies
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作者与单位

Peter Hahn1, Markus Storbeck1, Krishna Amin2, Jonathan Shaffer2, Leif Schauser3

1QIAGEN GmbH, Hilden, Germany,2QIAGEN Sciences Inc., Frederick, MD,3QIAGEN, Aarhus A/S, Denmark

摘要 Abstract

Comprehensive Genomic Profiling (CGP) and Homologous Recombination Deficiency (HRD) testing are critical components of precision oncology, guiding therapeutic decisions across a range of solid tumors. While CGP provides broad mutational insights, HRD status offers predictive value for PARP inhibitor response. However, integrating both assays into a streamlined workflow remains challenging due to reagent compatibility, workflow complexity, and sample limitations. QIAseq xHYB Pro is a next-generation hybrid-capture reagent chemistry designed to accelerate high-sensitivity, low-input genomic analysis for cancer research. Its optimized protocol enables a single-day hybrid capture workflow, with hybridization completed in minutes rather than hours, dramatically reducing turnaround time without compromising data quality. Among its key applications are HRD and CGP, two essential assays for therapeutic stratification and biomarker discovery. The HRD panel, developed in collaboration with Myriad Genetics, enables detection of genomic instability signatures including loss of heterozygosity (LOH), telomeric allelic imbalance (TAI), and large-scale state transitions (LST). Using QIAseq xHYB Pro, HRD can be deployed as a standalone assay (QIAseq xHYB HRD Panel) or integrated as a spike-in module within the QIAseq xHYB CGP Panel. This modularity allows researchers to flexibly configure assays based on study needs, enabling broad and deep tumor characterization from limited FFPE samples in a single, efficient workflow.
利益披露 Disclosure
P. Hahn, QIAGEN GmbH Employment. M. Storbeck, QIAGEN GmbH Employment. K. Amin, QIAGEN Sciences Inc. Employment. J. Shaffer, QIAGEN Sciences Inc. Employment. L. Schauser, QIAGEN Aarhus A/S Employment.

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