Dynamic bTMB combined with residual ctDNA improves survival prediction in locally advanced NSCLC patients with chemoradiotherapy and consolidation immunotherapy

Yu Wang , Wenqing Wang , Tao Zhang , Yin Yang , Jianyang Wang , Canjun Li , Xin Xu , Yuqi Wu , Ying Jiang , Jinghao Duan , Luhua Wang , Nan Bi
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Abstract

Background

Liquid biopsy-based biomarkers, including circulating tumor DNA (ctDNA) and blood tumor mutational burden (bTMB), are recognized as promising predictors of prognoses and responses to immune checkpoint inhibitors (ICIs), despite insufficient sensitivity of single biomarker detection. This research aims to determine whether the combinatorial utility of longitudinal ctDNA with bTMB analysis could improve the prognostic and predictive effects.

Methods

This prospective two-center cohort trial, consisting of discovery and validation datasets, enrolled unresectable locally advanced non-small-cell lung cancer (LA-NSCLC) patients and assigned them to chemoradiotherapy (CRT) or CRT + consolidation ICI cohorts from 2018 to 2022. Blood specimens were collected pretreatment, 4 weeks post-CRT, and at progression to assess bTMB and ctDNA using 486-gene next-generation sequencing. Dynamic ∆bTMB was calculated as post-CRT bTMB minus baseline bTMB levels. Decision curve analyses were performed to calculate Concordance index (C-index).

Results

One hundred twenty-eight patients were enrolled. In the discovery dataset (n = 73), patients treated with CRT and consolidation ICI had significantly longer overall survival (OS; median not reached [NR] vs 20.2 months; P < 0.001) and progression-free survival (PFS; median 25.2 vs 11.4 months; P = 0.011) than those without ICI. Longitudinal analysis demonstrated a significant decrease in ctDNA abundance post-CRT (P < 0.001) but a relative increase with disease progression. Post-CRT detectable residual ctDNA correlated with significantly shorter OS (median 18.3 months vs NR; P = 0.001) and PFS (median 7.3 vs 25.2 months; P < 0.001). For patients with residual ctDNA, consolidation ICI brought significantly greater OS (median NR vs 14.8 months; P = 0.005) and PFS (median 13.8 vs 6.2 months; P = 0.028) benefit, but no significant difference for patients with ctDNA clearance. Dynamic ∆bTMB was predictive of prognosis. Patients with residual ctDNA and increased ∆bTMB (∆bTMB > 0) had significantly worse OS (median 9.0 vs 23.0 months vs NR; P < 0.001) and PFS (median 3.4 vs 7.3 vs 25.2 months; P < 0.001). The combinatorial model integrating post-CRT ctDNA with ∆bTMB had optimal predictive effects on OS (C-index = 0.723) and PFS (C-index = 0.693), outperforming individual features. In the independent validation set, we confirmed residual ctDNA predicted poorer PFS (median 50.8 vs 14.3 months; P = 0.026) but identified more consolidation ICI benefit (median NR vs 8.3 months; P = 0.039). The combined model exhibited a stable predictive advantage (C-index = 0.742 for PFS).

Conclusions

The multiparameter assay integrating qualitative residual ctDNA testing with quantitative ∆bTMB dynamics improves patient prognostic risk stratification and efficacy predictions, allowing for personalized consolidation therapy for LA-NSCLC.

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动态bTMB与残留ctDNA相结合可提高化放疗和巩固免疫疗法局部晚期NSCLC患者的生存预测能力
背景基于液体活检的生物标记物,包括循环肿瘤DNA(ctDNA)和血液肿瘤突变负荷(bTMB),被认为是预测预后和对免疫检查点抑制剂(ICIs)反应的有前途的指标,尽管单一生物标记物检测的灵敏度不足。这项研究旨在确定纵向ctDNA与bTMB分析的组合效用是否能改善预后和预测效果。方法这项前瞻性双中心队列试验由发现数据集和验证数据集组成,从2018年至2022年招募了不可切除的局部晚期非小细胞肺癌(LA-NSCLC)患者,并将他们分配到化疗放疗(CRT)或CRT+巩固ICI队列中。采集治疗前、CRT 后 4 周和进展期的血液标本,使用 486 基因新一代测序技术评估 bTMB 和 ctDNA。动态ΔbTMB的计算方法为CRT后bTMB减去基线bTMB水平。进行决策曲线分析以计算一致性指数(C-index)。在发现数据集中(n = 73),接受 CRT 和巩固 ICI 治疗的患者的总生存期(OS;中位数未达到 [NR] vs 20.2 个月;P < 0.001)和无进展生存期(PFS;中位数 25.2 vs 11.4 个月;P = 0.011)明显长于未接受 ICI 治疗的患者。纵向分析表明,CRT 后 ctDNA 丰度显著下降(P = 0.001),但随着疾病的进展会相对增加。CRT后可检测到的残留ctDNA与明显缩短的OS(中位18.3个月 vs NR;P = 0.001)和PFS(中位7.3个月 vs 25.2个月;P <;0.001)相关。对于有残留ctDNA的患者,巩固ICI可显著提高OS(中位NR vs 14.8个月;P = 0.005)和PFS(中位13.8 vs 6.2个月;P = 0.028),但对于ctDNA清除的患者则无明显差异。动态ΔbTMB可预测预后。残留ctDNA和∆bTMB增加(∆bTMB > 0)的患者的OS(中位9.0个月 vs 23.0个月 vs NR;P <;0.001)和PFS(中位3.4个月 vs 7.3个月 vs 25.2个月;P <;0.001)明显较差。将 CT 后 ctDNA 与 ∆bTMB 整合在一起的组合模型对 OS(C 指数 = 0.723)和 PFS(C 指数 = 0.693)具有最佳预测效果,优于单个特征。在独立验证集中,我们证实残留 ctDNA 预测的 PFS 较差(中位 50.8 个月 vs 14.3 个月;P = 0.026),但识别出了更巩固的 ICI 益处(中位 NR vs 8.3 个月;P = 0.039)。结论将定性残留ctDNA检测与定量ΔbTMB动态分析相结合的多参数检测方法改善了患者预后风险分层和疗效预测,可用于LA-NSCLC的个性化巩固治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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