Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China; State Key Laboratory of Oncology in South China, Guangzhou, People's Republic of China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China.
State Key Laboratory of Oncology in South China, Guangzhou, People's Republic of China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China; Department of Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
J Thorac Oncol. 2023 Jul;18(7):869-881. doi: 10.1016/j.jtho.2023.03.012. Epub 2023 Mar 21.
According to mechanisms of adaptive immune resistance, tumor immune microenvironment (TIME) is classified into four types: (1) programmed death-ligand 1 (PD-L1)-negative and tumor-infiltrating lymphocyte (TIL)-negative (type I); (2) PD-L1-positive and TIL-positive (type II); (3) PD-L1-negative and TIL-positive (type III); and (4) PD-L1-positive and TIL-negative (type IV). However, the relationship between the TIME classification model and immunotherapy efficacy has not been validated by any large-scale randomized controlled clinical trial among patients with advanced NSCLC.
On the basis of RNA-sequencing and immunohistochemistry data from the ORIENT-11 study, we optimized the TIME classification model and evaluated its predictive value for the efficacy of immunotherapy plus chemotherapy.
PD-L1 mRNA expression and immune score calculated by the ESTIMATE method were the strongest predictors for the efficacy of immunotherapy plus chemotherapy. Therefore, they were determined as the optimized definition of the TIME classification system. When compared between combination therapy and chemotherapy alone, only the type II subpopulation with high immune score and high PD-L1 mRNA expression was significantly associated with improved progression-free survival (PFS) (hazard ratio = 0.12, 95% confidence interval: 0.06-0.25, p < 0.001) and overall survival (hazard ratio = 0.27, 95% confidence interval: 0.13-0.55, p < 0.001). In the combination group, the type II subpopulation had a much longer survival time, not even reaching the median PFS or overall survival, but the other three subpopulations were susceptible to having similar PFS. In the chemotherapy group, there was no marked association between survival outcomes and TIME subtypes.
Only patients with both high PD-L1 expression and high immune infiltration could benefit from chemotherapy plus immunotherapy in first-line treatment of advanced NSCLC. For patients lacking either PD-L1 expression or immune infiltration, chemotherapy alone might be a better treatment option to avoid unnecessary toxicities and financial burdens.
根据适应性免疫抵抗机制,肿瘤免疫微环境(TIME)分为四种类型:(1)程序性死亡配体 1(PD-L1)阴性且肿瘤浸润淋巴细胞(TIL)阴性(I 型);(2)PD-L1 阳性且 TIL 阳性(II 型);(3)PD-L1 阴性且 TIL 阳性(III 型);和(4)PD-L1 阳性且 TIL 阴性(IV 型)。然而,在晚期 NSCLC 患者中,TIME 分类模型与免疫治疗疗效之间的关系尚未通过任何大型随机对照临床试验得到验证。
基于 ORIENT-11 研究的 RNA 测序和免疫组化数据,我们优化了 TIME 分类模型,并评估了其对免疫治疗联合化疗疗效的预测价值。
PD-L1mRNA 表达和 ESTIMATE 方法计算的免疫评分是免疫治疗联合化疗疗效的最强预测因素。因此,它们被确定为 TIME 分类系统的优化定义。与单独化疗相比,仅高免疫评分和高 PD-L1mRNA 表达的 II 型亚群与改善无进展生存期(PFS)(风险比=0.12,95%置信区间:0.06-0.25,p<0.001)和总生存期(OS)(风险比=0.27,95%置信区间:0.13-0.55,p<0.001)显著相关。在联合治疗组中,II 型亚群的生存时间明显更长,甚至没有达到中位 PFS 或总生存期,但其他三个亚群易发生相似的 PFS。在化疗组中,生存结果与 TIME 亚型之间没有明显关联。
只有在晚期 NSCLC 一线治疗中同时具有高 PD-L1 表达和高免疫浸润的患者才能从化疗联合免疫治疗中获益。对于既缺乏 PD-L1 表达又缺乏免疫浸润的患者,单独化疗可能是更好的治疗选择,可以避免不必要的毒性和经济负担。