Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, China.
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, China.
Cancer Lett. 2018 Feb 1;414:166-173. doi: 10.1016/j.canlet.2017.11.014. Epub 2017 Nov 16.
Despite the marked success of applications of PD-1/PD-L1 checkpoint blockades in clinical, the efficacy and responsiveness of these agents varies greatly among different tumor types and across individual patients. Therefore, establishment of predictive biomarkers for checkpoint blockades is of the most importance to maximize the therapeutic benefits. In this review, we discuss the current progress and challenges of developing predictive biomarkers of immunotherapy responsiveness, aiming to provide some directions for future studies. PD-L1 expression is a logical biomarker for the prediction of response to anti-PD-(L)1 immunotherapies. However, the predictive values of PD-L1 expressions for immunotherapy are currently debating and challenging. Multiplex detecting methods and combined biomarkers may provide new strategies. For example, tumor mutation and neoantigens burden, some oncogene mutations, like EGFR, ALK, KRAS and STK11. In addition, with development of new probes and tracers, immuno-PET provide a new, non-invasive and quantitative strategy to monitor treatment response. As current evidence of those potential predictors, a consensus and standardization is needed to establish to widely applied in future studies. Multiplex detecting methods and combined biomarkers may provide new strategies.
尽管 PD-1/PD-L1 检查点阻断在临床应用中取得了显著成功,但这些药物在不同肿瘤类型和个体患者中的疗效和反应性差异很大。因此,建立预测检查点阻断治疗反应的生物标志物对于最大限度地提高治疗效果至关重要。在这篇综述中,我们讨论了开发免疫治疗反应预测性生物标志物的最新进展和挑战,旨在为未来的研究提供一些方向。PD-L1 表达是预测抗 PD-(L)1 免疫治疗反应的合理生物标志物。然而,PD-L1 表达对免疫治疗的预测价值目前仍存在争议和挑战。多重检测方法和联合生物标志物可能提供新的策略。例如,肿瘤突变和新抗原负担,一些癌基因突变,如 EGFR、ALK、KRAS 和 STK11。此外,随着新型探针和示踪剂的发展,免疫 PET 提供了一种新的、非侵入性和定量的策略来监测治疗反应。作为这些潜在预测因子的现有证据,需要建立共识和标准化,以便在未来的研究中广泛应用。多重检测方法和联合生物标志物可能提供新的策略。