Liquid-based genomic profiling in high-risk localized prostate cancer

高危局限性前列腺癌的液基基因组分析

阅读:1

Abstract

BACKGROUND: Tumor genomic profiling using liquid biopsies offers a minimally invasive alternative to tissue biopsy-based approach, with advantages in accessibility, tumor heterogeneity representation, and repeatability. While established in metastatic prostate cancer, its feasibility in localized disease remains unclear due to low ctDNA levels. METHODS: We evaluated the feasibility and performance of tissue and liquid-based genomic profiling in patients with high-risk localized prostate cancer enrolled in a phase 2 neoadjuvant trial. Genomic DNA from formalin-fixed paraffin-embedded (FFPE) tissue and cell-free DNA from plasma were analyzed using Illumina TruSight Oncology 500 panels and DRAGEN™ pipelines, with in-house filtering of artifacts and germline variants. RESULTS: Of 22 FFPE tissue biopsies, only 54.5% (12/22) yielded usable data, with failures due to low DNA quality or quantity. All 27 plasma samples (100%) were successfully sequenced, despite low ctDNA levels. Both approaches identified an average of 3.5 genomic variants per sample, including alterations in SPOP, ATRX, ATM, and ARID1B. Liquid-based genomic profiling achieved superior coverage and depth, enabling sensitive detection of low-frequency mutations. Concordance analysis was limited by the small number of matched samples (n = 4). CONCLUSIONS: Liquid-based genomic profiling is feasible and achieved high sequencing success rates in high-risk localized prostate cancer. Although concordance analysis was limited, plasma-based profiling showed robust sequencing performance and detected biologically relevant alterations. These findings support liquid biopsy as a complementary approach for molecular characterization, particularly when tissue samples are limited or of suboptimal quality. Larger studies are required to establish concordance and clinical utility.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。