PO.CL01.17 · 临床研究

利用循环肿瘤DNA检测微小残留病在早期乳腺癌中的预后价值:一项系统评价与荟萃分析

Prognostic utility of minimal residual disease detection using circulating tumor DNA in early-stage breast cancer: A systematic review and meta-analysis

海报缩略图:利用循环肿瘤DNA检测微小残留病在早期乳腺癌中的预后价值:一项系统评价与荟萃分析
编号 5380 展板 18 时间 4/21 09:00–12:00 区域 Section 47 主讲 Panuch Eiamprapaporn, MD
分会场 Prognostic Biomarkers 3
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作者与单位 Authors & Affiliations

Panuch Eiamprapaporn1, Thiti Susiriwatananont1, Yaohua Ma1, Hataiwan Ratanabunjerdkul2, Panchanin Patanayindee2, Lucksika Wanichtanom3, E. Aubrey Thompson4, Saranya Chumsri1

1Mayo Clinic, Jacksonville, FL,2Internal Medicine, Thammasat University, Bangkok, Thailand,3Internal Medicine, Lucksika Wanichtanom, Bangkok, Thailand,4Comprehensive Cancer Center, Mayo Clinic, Jacksonville, FL

摘要 Abstract

中文摘要
基于循环肿瘤DNA(ctDNA)的微小残留病(MRD)检测是早期乳腺癌(eBC)监测中风险分层的范式转变。尽管其预后信号明确,但跨分子亚型的全面综合分析仍然有限,阻碍了将预后发现转化为可操作的、以干预为导向的试验。我们按照PROSPERO注册(CRD420251122005)进行了一项系统评价与荟萃分析。检索了包括PubMed/MEDLINE、Embase和Cochrane CENTRAL在内的数据库,检索时间截至2025年9月。纳入涉及eBC(I-III期)患者、使用经验证的检测方法进行基于ctDNA的MRD检测、具有生存结局且随访≥12个月的研究。随机效应荟萃分析评估了疾病复发的合并风险比(HR)。亚组分析根据检测性能和基因突变谱明确评估了分子亚型(TNBC、HER2+、HR+/HER2-)。从1,246条记录中,纳入了59项研究,涵盖12,847例eBC患者。荟萃分析显示,来自26项研究的无病生存具有极高的预后价值,合并HR为9.95(95% CI:6.50-15.25,p<0.0001)。观察到高度异质性(I2=67.2%),主要由肿瘤生物学和检测技术的差异所驱动。亚型特异性分析突出了不同的释放率:TNBC显示出最高的基线检出率(80-83.8%)和敏感性(85-90%)。HR+/HER2-显示出最低的基线检出率(14.6-30%)。基因突变分析揭示了可操作性:TP53在TNBC中占主导,而PIK3CA、ESR1和AKT1突变在HR+/HER2-疾病中更为常见。至关重要的是,从ctDNA检出到临床复发的时间提供了一致的中位提前时间10.2个月(范围7.5-16个月),部分病例最早可提前68个月检出。所有亚型的特异性均超过95%。这项荟萃分析确立了基于ctDNA的MRD检测作为一种临床有效的生物标志物,ctDNA阳性患者的复发风险增加近10倍。高度异质性凸显了量身定制的、亚型特异性监测方案和选择超敏感检测方法的必要性。一致的约10个月提前时间界定了一个关键的干预窗口,为正在进行和未来的随机临床试验提供了明确的理论依据,这些试验旨在针对各乳腺癌亚型中观察到的不同分子特征评估ctDNA指导的治疗强化。
查看英文原文 English abstract
Circulating tumor DNA (ctDNA)-based minimal residual disease (MRD) detection is a paradigm shift for risk stratification in early-stage breast cancer (eBC) surveillance. While the prognostic signal is clear, comprehensive synthesis across molecular subtypes remains limited, hindering the translation of prognostic findings into actionable, intervention-guided trials. We conducted a systematic review and meta-analysis following PROSPERO registration (CRD420251122005). Databases including PubMed/MEDLINE, Embase, and Cochrane CENTRAL were searched through September 2025. Studies involving eBC (stage I-III) patients with ctDNA-based MRD detection using validated assays, survival outcomes, and ≥12 months follow-up were included. Random-effects meta-analysis assessed the pooled hazard ratio (HR) for disease recurrence. Subgroup analyses explicitly evaluated molecular subtypes (TNBC, HER2+, HR+/HER2-) based on detection performance and gene mutation profiles. From 1,246 records, 59 studies were included, encompassing 12,847 eBC patients. Meta-analysis demonstrated an extreme prognostic value of disease-free survival from 26 studies with a pooled HR of 9.95 (95% CI: 6.50-15.25, p<0.0001). High heterogeneity was observed (I2=67.2%), largely driven by differences in tumor biology and assay technology. Subtype-specific analysis highlighted distinct shedding rates: TNBC showed the highest baseline detection (80−83.8%) and sensitivity (85−90%). HR+/HER2-showed the lowest baseline detection (14.6−30%). Gene mutation analysis revealed actionability: TP53 predominated in TNBC, while PIK3CA, ESR1, and AKT1 mutations were more frequent in HR+/HER2- disease. Crucially, the time from ctDNA detection to clinical recurrence provided a consistent median lead time of 10.2 months (range 7.5−16months), with cases detected up to 68 months prior. Specificity exceeded 95% across all subtypes. This meta-analysis establishes ctDNA-based MRD detection as a clinically valid biomarker with a nearly 10-fold increased recurrence riskin ctDNA-positive patients. The high heterogeneity underscores the necessity of tailored, subtype-specific surveillance protocols and selection of ultra-sensitive assays. The consistent ∼10-month lead time defines a critical intervention window, providing a clear rationale for ongoing and future randomized clinical trials evaluating ctDNA-guided therapeutic intensification against the distinct molecular profiles observed in each breast cancer subtype.
利益披露 Disclosure
P. Eiamprapaporn, None.. T. Susiriwatananont, None.. Y. Ma, None.. H. Ratanabunjerdkul, None.. P. Patanayindee, None.. L. Wanichtanom, None.. E. Thompson, None. S. Chumsri, Salix Pharmaceuticals ). Merck&Co. ). Rebiotix Inc ). Novartis ). Briacell Therapeutics Corp. ). AstraZeneca Other, Consulting fees. Daiichi Sankyo Other, Consulting fees. Immunomedics Other, Consulting fees. Biotheranostics Other, Consulting fees. Novartis Other, Consulting fees. Athenex Other, Consulting fees. Puma Biotechnology Other, Consulting fees. Easai Other, Consulting fees. Genentech/Roche Travel, Other, Consulting fees.

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