Hsiao Angela, Woodward Brian, Ye Patrick, Varga Matthew G, Altaie Ghaith, Lu Kevin, Searle Naomi, Viens Robb, Langpap Sydne, Li Zeqian, Palmer Gary, Husain Hatim
University of California San Diego, La Jolla, CA.
BillionToOne Inc, Menlo Park, CA.
Clin Lung Cancer. 2025 Jan;26(1):72-77. doi: 10.1016/j.cllc.2024.10.013. Epub 2024 Oct 28.
Circulating tumor DNA (ctDNA) can reflect the genetic and epigenetic composition of malignancies and can serve as a noninvasive biomarker for cancer diagnostics and monitoring. This study aimed to evaluate the utility of a methylation-based ctDNA assay as a predictive tool in non-small cell lung cancer (NSCLC) anti-PD1 based immunotherapy monitoring.
We evaluated a cohort of 20 patients with NSCLC treated with anti-PD1 based immunotherapy that had both baseline and follow-up blood draws as well as outcome data available. Tumor Methylation Scores (TMS) were measured with an amplicon-based, multiplexed cfDNA assay that utilizes quantitative counting templates (QCTs) in conjunction with next-generation sequencing to count the number of methylated molecules at more than 500 genomic locations that are hypermethylated in cancer tissue. The association between TMS and real-world progression-free survival (rwPFS) on therapy was conducted using Cox proportional hazards model and plotted using the Kaplan-Meier method.
The change in TMS measured 4-10 weeks post-treatment initiation strongly correlated with immunotherapy response, as measured by rwPFS (P < 0.0001), compared to a weaker correlation of imaging RECIST v1.1 measurements with rwPFS (P = 0.55). Furthermore, TMS tracked with tumor burden on therapy in real-world cases.
In this real-world dataset of NSCLC patients treated with anti-PD1 immunotherapy regimens, the TMS score measured within a 4-10 week window after treatment initiation can be predictive of response to therapy. Beyond this window, the TMS score can be associated with rwPFS and tumor dynamics. Early evidence suggests that changes in the methylation profile may be informative for monitoring occurrence of new somatic mutations. The cases presented demonstrate the application of using TMS for serial therapeutic response monitoring.
循环肿瘤DNA(ctDNA)能够反映恶性肿瘤的基因和表观遗传组成,可作为癌症诊断和监测的非侵入性生物标志物。本研究旨在评估基于甲基化的ctDNA检测作为非小细胞肺癌(NSCLC)抗PD-1免疫治疗监测预测工具的效用。
我们评估了一组接受抗PD-1免疫治疗的20例NSCLC患者,这些患者有基线和随访血样以及可用的结局数据。采用基于扩增子的多重cfDNA检测方法测量肿瘤甲基化评分(TMS),该方法利用定量计数模板(QCT)结合下一代测序来计算癌症组织中500多个高甲基化基因组位点的甲基化分子数量。使用Cox比例风险模型分析TMS与治疗期间实际无进展生存期(rwPFS)之间的关联,并采用Kaplan-Meier方法绘制生存曲线。
治疗开始后4-10周测量的TMS变化与免疫治疗反应密切相关,以rwPFS衡量(P<0.0001),相比之下,影像学RECIST v1.1测量值与rwPFS的相关性较弱(P=0.55)。此外,在实际病例中,TMS与治疗期间的肿瘤负荷相关。
在这个接受抗PD-1免疫治疗方案的NSCLC患者真实世界数据集中,治疗开始后4-10周内测量的TMS评分可预测治疗反应。在此时间窗之外,TMS评分可与rwPFS和肿瘤动态相关。早期证据表明,甲基化谱的变化可能有助于监测新的体细胞突变的发生。所展示的病例证明了使用TMS进行连续治疗反应监测的应用。