Nteliopoulos Georgios, Page Karen, Hills Allison, Howarth Karen, Emmett Warren, Green Emma, Martinson Luke J, Fernadez-Garcia Daniel, Hastings Robert, Guttery David S, Kenny Laura, Stebbing Justin, Cleator Susan, Rehman Farah, Gleason Kelly L T, Sanela Andrijac, Ion Charlotte, Rushton Amelia J, Rosenfeld Nitzan, Coombes R Charles, Shaw Jacqueline A
Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK.
Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Breast Cancer Res Treat. 2021 Jul;188(2):465-476. doi: 10.1007/s10549-021-06220-9. Epub 2021 Jun 7.
There is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the InVisionSeq™ ctDNA Assay with the Oncomine™ Breast cfDNA Assay to assess their concordance and feasibility for the detection of mutations in plasma at low (< 0.5%) variant allele fraction (VAF).
Ninety-six plasma samples from 50 patients with estrogen receptor (ER)-positive metastatic breast cancer (mBC) were profiled using the InVision Assay. Results were compared to the Oncomine assay in 30 samples from 26 patients, where there was sufficient material and variants were covered by both assays. Longitudinal samples were analysed for 8 patients with endocrine resistance.
We detected alterations in 59/96 samples from 34/50 patients analysed with the InVision assay, most frequently affecting ESR1, PIK3CA and TP53. Complete or partial concordance was found in 28/30 samples analysed by both assays, and VAF values were highly correlated. Excellent concordance was found for most genes, and most discordant calls occurred at VAF < 1%. In longitudinal samples from progressing patients with endocrine resistance, we detected consistent alterations in sequential samples, most commonly in ESR1 and PIK3CA.
This study shows that both ultra-deep next-generation sequencing (NGS) technologies can detect genomic alternations even at low VAFs in plasma samples of mBC patients. The strong agreement of the technologies indicates sufficient reproducibility for clinical use as prognosic and predictive biomarker.
循环肿瘤DNA(ctDNA)作为监测肿瘤演变及指导癌症患者靶向治疗的灵敏工具,其应用受到越来越多的关注。然而,仍需要对不同平台技术进行有力比较。在此,我们将InVisionSeq™ ctDNA检测法与Oncomine™ 乳腺癌cfDNA检测法进行比较,以评估它们在检测血浆中低(<0.5%)变异等位基因频率(VAF)突变时的一致性和可行性。
使用InVision检测法对来自50例雌激素受体(ER)阳性转移性乳腺癌(mBC)患者的96份血浆样本进行分析。将结果与来自26例患者的30份样本中的Oncomine检测法结果进行比较,这些样本有足够的材料且两种检测法都覆盖了变异。对8例内分泌抵抗患者的纵向样本进行分析。
我们用InVision检测法分析了50例患者中的34例,在96份样本中的59份检测到改变,最常见的是影响ESR1、PIK3CA和TP53。两种检测法分析的30份样本中有28份发现完全或部分一致,且VAF值高度相关。大多数基因的一致性良好,大多数不一致的结果出现在VAF<1%时。在进展期内分泌抵抗患者的纵向样本中,我们在连续样本中检测到一致的改变,最常见于ESR1和PIK3CA。
本研究表明,两种超深度下一代测序(NGS)技术即使在mBC患者血浆样本的低VAF水平下也能检测到基因组改变。这些技术的高度一致性表明其作为预后和预测生物标志物用于临床具有足够的可重复性。