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通过乳腺癌中的体细胞拷贝数畸变实现对ctDNA的灵敏和精确检测。

Enabling sensitive and precise detection of ctDNA through somatic copy number aberrations in breast cancer.

作者信息

Scandino Riccardo, Nardone Agostina, Casiraghi Nicola, Galardi Francesca, Genovese Mattia, Romagnoli Dario, Paoli Marta, Biagioni Chiara, Tonina Andrea, Migliaccio Ilenia, Pestrin Marta, Moretti Erica, Malorni Luca, Biganzoli Laura, Benelli Matteo, Romanel Alessandro

机构信息

Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.

Translational Research Unit, Department of Oncology, Hospital of Prato, Azienda USL Toscana Centro, Prato, Italy.

出版信息

NPJ Breast Cancer. 2025 Mar 8;11(1):25. doi: 10.1038/s41523-025-00739-6.

Abstract

Cell-free DNA (cfDNA) extracted from peripheral blood has emerged as a crucial biomarker source in oncology research. To enhance the detection of somatic copy number alterations (SCNAs) and circulating tumor DNA (ctDNA), we developed eSENSES, a 2 Mb breast cancer-targeted NGS panel. It includes 15,000 genome-wide SNPs, 500 focal SNPs in breast cancer driver regions, and exons from 81 commonly altered genes, alongside a custom computational approach. We assessed the performance of eSENSES using both synthetic and clinical samples showing that eSENSES can detect ctDNA levels below 1%, exhibiting high sensitivity and specificity at 2-3% ctDNA levels. In patients with metastatic breast cancer, ctDNA estimations correlated with disease progression. When compared with other technologies and state-of-the-art approaches, eSENSES demonstrated enhanced performance. eSENSES provides a reliable, powerful and cost-effective tool for monitoring disease progression and guiding therapeutic decisions in breast cancer patients.

摘要

从外周血中提取的游离DNA(cfDNA)已成为肿瘤学研究中至关重要的生物标志物来源。为了加强对体细胞拷贝数改变(SCNA)和循环肿瘤DNA(ctDNA)的检测,我们开发了eSENSES,这是一个针对乳腺癌的2兆碱基的二代测序(NGS)面板。它包括15000个全基因组单核苷酸多态性(SNP)、乳腺癌驱动区域的500个局部SNP,以及81个常见突变基因的外显子,同时还有一种定制的计算方法。我们使用合成样本和临床样本评估了eSENSES的性能,结果表明eSENSES能够检测到低于1%的ctDNA水平,在ctDNA水平为2%-3%时表现出高灵敏度和特异性。在转移性乳腺癌患者中,ctDNA估计值与疾病进展相关。与其他技术和最先进的方法相比,eSENSES表现出更好的性能。eSENSES为监测乳腺癌患者的疾病进展和指导治疗决策提供了一个可靠、强大且经济高效的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f5a/11890748/865c3f7e2338/41523_2025_739_Fig1_HTML.jpg

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