Lu Chang, Zhang Yi-Chen, Chen Zhi-Hong, Zhou Qing, Wu Yi-Long
Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Front Oncol. 2022 Mar 14;12:836891. doi: 10.3389/fonc.2022.836891. eCollection 2022.
Immune checkpoint inhibitors (ICIs), especially anti-programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) antibodies, have made dramatic progress in the treatment of lung cancer, especially for patients with cancers not driven by oncogenes. However, responses are limited to a subset of patients, and which subset of patients will optimally benefit from ICI remains unknown. With the advantage of being minimally invasive and dynamic, noninvasive biomarkers are promising candidates to predict response, monitor resistance, and track the evolution of lung cancer during ICI treatment. In this review, we focus on the application of circulating tumor DNA (ctDNA) in plasma in immunotherapy. We examine the potential of pre- and on-treatment features of ctDNA as biomarkers, and following multiparameter analysis, we determine the potential clinical value of integrating predictive liquid biomarkers of ICIs to optimize patient management. We further discuss the role of ctDNA in monitoring treatment resistance, as well as challenges in clinical translation.
免疫检查点抑制剂(ICI),尤其是抗程序性死亡蛋白1(PD-1)/程序性死亡配体1(PD-L1)抗体,在肺癌治疗方面取得了显著进展,特别是对于非致癌基因驱动的癌症患者。然而,反应仅限于一部分患者,哪些患者亚组将从ICI中获得最佳益处仍然未知。具有微创和动态的优势,非侵入性生物标志物有望成为预测反应、监测耐药性以及在ICI治疗期间追踪肺癌进展的候选指标。在本综述中,我们重点关注血浆中循环肿瘤DNA(ctDNA)在免疫治疗中的应用。我们研究了ctDNA的治疗前和治疗中特征作为生物标志物的潜力,经过多参数分析后,我们确定整合ICI预测性液体生物标志物以优化患者管理的潜在临床价值。我们还进一步讨论了ctDNA在监测治疗耐药性中的作用以及临床转化面临的挑战。