PO.BCS01.11 · 生物信息与计算
使用癌症特异性、基于甲基化的无组织检测对患者循环肿瘤DNA(ctDNA)进行定量以检测分子残留病灶(MRD)
Quantification of circulating tumor DNA (ctDNA) in patients using cancer-specific, methylation-based, tissue-free tests for the detection of molecular residual disease (MRD)
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
虽然已证明通过差异甲基化模式检测MRD可预测疾病复发,但临床决策和疾病管理越来越依赖于所测生物标志物的确切水平。我们评估了针对结直肠癌(CRC)、乳腺癌、肺癌和肌层浸润性膀胱癌(MIBC)设计的基于甲基化的MRD检测的定量结果。每种癌症特异性、基于甲基化的无组织ctDNA检测均采用二代测序,查询在结直肠癌、乳腺癌、肺癌或MIBC患者中相较无癌个体呈差异甲基化的人类基因组区域。在交叉验证设置中,分析了经Signatera检测的I-IV期癌症患者血浆样本(CRC N=105,乳腺癌 N=112,肺癌 N=113,MIBC N=60)以及无癌个体样本(N=223,针对乳腺癌进行性别匹配)。我们比较了基于甲基化检测所测的ctDNA水平(以循环游离DNA靶标在各区域中差异甲基化等位基因分数DMAF估计)与来自定制的肿瘤指导ctDNA检测(Signatera™,以变异等位基因分数VAF测量,作为参考标准)的水平,方法是计算均方误差(MSE)和Pearson相关系数(ρ)。在癌症特异性、无组织、基于甲基化的检测与个性化肿瘤指导检测的每一项比较中,DMAF与VAF在以下患者中均呈强相关:CRC患者(VAF中位数[范围]:1.43%[0.003-8.26%],MSE:0.064,ρ:0.955)、乳腺癌患者(VAF中位数[范围]:1.08%[0.002-7.80%],MSE:0.161,ρ:0.863)、肺癌患者(VAF中位数[范围]:0.93%[0.005-12.9%],MSE:0.179,ρ:0.829)以及MIBC患者(VAF中位数[范围]:2.33%[0.005-9.26%],MSE:0.079,ρ:0.954)。在乳腺癌患者中,DMAF与VAF的相关性在各亚型中均得以保持,包括HR+(MSE:0.132,ρ:0.888)、HER2+(MSE:0.272,ρ:0.815)和三阴性(MSE:0.109,ρ:0.897)。同样,DMAF与VAF之间的相关性在各肺癌亚型中也很强,包括非小细胞肺癌(MSE:0.207,ρ:0.802)和小细胞肺癌(MSE:0.069,ρ:0.941)。对于所有癌症特异性、无组织、基于甲基化的检测,DMAF水平均独立于患者特征,如性别(乳腺癌除外)、年龄和分期(I-III期),以及游离DNA投入量。这些数据表明,CRC、乳腺癌、肺癌或MIBC患者中差异甲基化的丰度与肿瘤指导的ctDNA水平相关,支持将每种无组织的基于甲基化的检测作为为预后判断和患者管理提供信息的有前景工具。未来研究将探讨该无组织检测在具有特定临床病理特征的不同患者中的定量能力。
查看英文原文 English abstract
While MRD detection by differential methylation patterns has been shown to predict disease recurrence, clinical decision-making and disease management are increasingly dependent on the exact level of the measured biomarker. We assessed quantitative results by methylation-based MRD assays designed for colorectal (CRC), breast, lung, and muscle-invasive bladder cancer (MIBC). Each cancer-specific, methylation-based, tissue-free ctDNA assay uses next-generation sequencing to query regions of the human genome that are differentially methylated in patients with colorectal, breast, lung, or MIBC cancer compared to cancer-free individuals. Plasma samples from Signatera-tested cancer patients with stage I-IV disease (CRC N=105, breast N=112, lung N=113, MIBC N=60) and from cancer-free individuals (N=223, sex-matched for breast cancer) were analyzed in a cross-validation setup. We compared ctDNA levels measured by the methylation-based assay (estimated by the fraction of differentially methylated alleles for circulating cell-free DNA targets across regions, DMAF) with those from a bespoke, tumor-informed ctDNA assay (SignateraTM, measured as variant allele fraction, VAF), which served as the reference, by calculating the mean squared error (MSE) and Pearson's Correlation Coefficient (⍴). For each comparison of the cancer-specific, tissue-free, methylation-based assay with the personalized tumor-informed assay, DMAF and VAF were strongly correlated for patients with CRC (VAF median [range]: 1.43% [0.003-8.26%], MSE: 0.064, ⍴: 0.955), breast cancer (VAF median [range]: 1.08% [0.002-7.80%], MSE: 0.161, ⍴: 0.863), lung cancer (VAF median [range]: 0.93% [0.005-12.9%], MSE: 0.179, ⍴: 0.829), and MIBC (VAF median [range]: 2.33% [0.005-9.26%], MSE: 0.079, ⍴: 0.954). Among patients with breast cancer, the correlation between DMAF and VAF was maintained across subtypes, including HR+ (MSE: 0.132, ⍴: 0.888), HER2+ (MSE: 0.272, ⍴: 0.815), and triple-negative (MSE: 0.109, ⍴: 0.897). Similarly, the correlation between DMAF and VAF was strong across lung cancer subtypes, non-small cell lung cancer (MSE: 0.207, ⍴: 0.802) and small cell lung cancer (MSE: 0.069, ⍴: 0.941). For all cancer-specific, tissue-free, methylation-based assays, DMAF levels were independent of patient characteristics such as sex (excluding breast), age, and stage (I-III), as well as cell-free DNA input. These data demonstrate that the abundance of differential methylation in patients with CRC, breast, lung, or MIBC cancer correlates with tumor-informed ctDNA levels, supporting each tissue-free methylation-based assay as a promising tool for informing prognosis and patient management. Future studies will investigate the quantitative abilities of the tissue-free assay in different patients with specific clinicopathological features.
利益披露 Disclosure
P. Parsana,
Natera, Inc. Employment, Stock, Stock Option.
Guardant Health Employment.
T. Chen,
Natera, Inc. Employment, Stock, Stock Option.
N. Liang,
Natera, Inc. Employment, Stock, Stock Option.
A. Kennedy,
Natera, Inc. Employment, Stock, Stock Option.
V. Rodriguez,
Natera, Inc. Employment, Stock Option.
J. Zhang,
Natera, Inc. Employment, Stock, Stock Option.
B. Gutman,
Natera, Inc. Employment, Stock, Stock Option.
E. Haghshenas,
Natera, Inc. Employment, Stock, Stock Option.
G. Kushwaha,
Natera, Inc. Employment, Stock, Stock Option.
B. L. Mitchell,
Natera, Inc. Employment, Stock, Stock Option.
M. Liu,
Natera, Inc. Employment, g., Board of Directors, non-salaried role), Stock, Stock Option.
E. Tabari,
Natera, Inc. Employment, Stock Option.
J. Babiarz,
Natera, Inc. Employment, Stock, Stock Option.
T. Kawli,
Natera, Inc. Employment, Stock, Stock Option.
J. G. Reiter,
Natera, Inc. Employment, Stock, Stock Option.
M. Rabinowitz,
Natera, Inc. Employment, g., Board of Directors, non-salaried role), Stock, Stock Option, ), Travel, Patent, Consulting/Advisory Role.
MyOme Employment, g., Board of Directors, non-salaried role), Stock, Stock Option, ), Travel, Patent, Consulting/Advisory Role.
Marble Therapeutics Employment, g., Board of Directors, non-salaried role), Stock, Stock Option, Consulting/Advisory Role.
A. Aleshin,
Natera, Inc. Employment, g., Board of Directors, non-salaried role), Stock, Stock Option.