Fiste Oraianthi, Liontos Michael, Koutsoukos Konstantinos, Terpos Evangelos, Dimopoulos Meletios A, Zagouri Flora
Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Ann Transl Med. 2020 Dec;8(23):1603. doi: 10.21037/atm-20-1175.
Breast carcinoma is the most frequent and the second leading cause of cancer mortality in women worldwide. Current treatment decisions are based on tumor profiling of the initial tissue biopsy. Cancer though evolves both spatially and temporarily in a significant percentage of patients during treatment. However, sequential biopsies from the primary tumor or its metastatic sites are not either convenient or feasible in the majority of cases. In the era of precision medicine, analysis of circulating blood-based biomarkers in the field of liquid biopsies provides an insight into the dynamic molecular profiling of the primary tumor and its metastases, in a relatively non-invasive way. The latter permits not only patient stratification but also longitudinal evaluation of treatment response, when incorporated into clinical trials. This review summarizes the results from recent and ongoing circulating tumor DNA (ctDNA)-based biomarker-driven clinical trials, with respect to ctDNA analysis' predictive role, both in adjuvant, neo-adjuvant, and metastatic setting. Furthermore, current challenges in ctDNA analysis applications are critically discussed, including pre-analytical and analytical issues, and future perspectives in this field, through the conduct of well-designed, multicenter, randomized, large-scale, biomarker-stratified trials, with robust statistical methods. Despite in its infancy, ctDNA analysis holds great promise as a minimally invasive tool regarding tailored, personalized treatment guidance for breast cancer patients.
乳腺癌是全球女性中最常见且是癌症死亡的第二大主要原因。当前的治疗决策基于初始组织活检的肿瘤分析。然而,在相当比例的患者中,癌症在治疗过程中会在空间和时间上发生演变。然而,在大多数情况下,对原发性肿瘤或其转移部位进行连续活检既不方便也不可行。在精准医学时代,液体活检领域中基于循环血液的生物标志物分析以相对非侵入性的方式提供了对原发性肿瘤及其转移灶动态分子图谱的洞察。当纳入临床试验时,后者不仅允许对患者进行分层,还能对治疗反应进行纵向评估。本综述总结了近期及正在进行的基于循环肿瘤DNA(ctDNA)的生物标志物驱动的临床试验结果,涉及ctDNA分析在辅助、新辅助和转移环境中的预测作用。此外,还对ctDNA分析应用中的当前挑战进行了批判性讨论,包括分析前和分析问题,以及通过开展设计良好、多中心、随机、大规模、生物标志物分层的试验并采用强大的统计方法,探讨该领域的未来前景。尽管ctDNA分析尚处于起步阶段,但作为一种为乳腺癌患者提供定制化、个性化治疗指导的微创工具,它具有巨大的潜力。