Allele-informed copy number evaluation of plasma DNA samples from metastatic prostate cancer patients: the PCF_SELECT consortium assay.

NAR Cancer Pub Date : 2022-05-27 eCollection Date: 2022-06-01 DOI:10.1093/narcan/zcac016
Francesco Orlando, Alessandro Romanel, Blanca Trujillo, Michael Sigouros, Daniel Wetterskog, Orsetta Quaini, Gianmarco Leone, Jenny Z Xiang, Anna Wingate, Scott Tagawa, Anuradha Jayaram, Mark Linch, Mariam Jamal-Hanjani, Charles Swanton, Mark A Rubin, Alexander W Wyatt, Himisha Beltran, Gerhardt Attard, Francesca Demichelis
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Abstract

Sequencing of cell-free DNA (cfDNA) in cancer patients' plasma offers a minimally-invasive solution to detect tumor cell genomic alterations to aid real-time clinical decision-making. The reliability of copy number detection decreases at lower cfDNA tumor fractions, limiting utility at earlier stages of the disease. To test a novel strategy for detection of allelic imbalance, we developed a prostate cancer bespoke assay, PCF_SELECT, that includes an innovative sequencing panel covering ∼25 000 high minor allele frequency SNPs and tailored analytical solutions to enable allele-informed evaluation. First, we assessed it on plasma samples from 50 advanced prostate cancer patients. We then confirmed improved detection of genomic alterations in samples with <10% tumor fractions when compared against an independent assay. Finally, we applied PCF_SELECT to serial plasma samples intensively collected from three patients previously characterized as harboring alterations involving DNA repair genes and consequently offered PARP inhibition. We identified more extensive pan-genome allelic imbalance than previously recognized in prostate cancer. We confirmed high sensitivity detection of BRCA2 allelic imbalance with decreasing tumor fractions resultant from treatment and identified complex ATM genomic states that may be incongruent with protein losses. Overall, we present a framework for sensitive detection of allele-specific copy number changes in cfDNA.

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对转移性前列腺癌患者血浆 DNA 样本进行等位基因拷贝数评估:PCF_SELECT 联合检测。
对癌症患者血浆中的无细胞DNA(cfDNA)进行测序,是检测肿瘤细胞基因组变化的一种微创解决方案,有助于实时临床决策。拷贝数检测的可靠性在较低的 cfDNA 肿瘤分数时会降低,从而限制了在疾病早期阶段的应用。为了测试检测等位基因不平衡的新策略,我们开发了一种前列腺癌定制检测方法 PCF_SELECT,它包括一个创新的测序面板,涵盖 25000 个高小等位基因频率 SNPs,以及定制的分析解决方案,以实现等位基因知情评估。首先,我们对 50 名晚期前列腺癌患者的血浆样本进行了评估。然后,我们证实了在 BRCA2 等位基因不平衡的样本中,基因组改变的检测得到了改善,治疗导致肿瘤比例下降,并确定了可能与蛋白质损失不一致的复杂 ATM 基因组状态。总之,我们提出了一个在 cfDNA 中灵敏检测等位基因特异性拷贝数变化的框架。
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