作者
Jiachen Xu,Rui Wan,Yiran Cai,Shangli Cai,Lin Wu,Baolan Li,Jianchun Duan,Ying Cheng,Xiaoling Li,Xicheng Wang,Liang Han,Xiaohong Wu,Yun Fan,Yan Yu,Dongqing Lv,Jianhua Shi,Jianjin Huang,Shaozhang Zhou,Baohui Han,Guogui Sun,Qisen Guo,Youxin Ji,Xiaoli Zhu,Sheng Hu,Wei Zhang,Qiming Wang,Yuming Jia,Ziping Wang,Yong Song,Jingxun Wu,Meiqi Shi,Xingya Li,Zhigang Han,Yunpeng Liu,Zhuang Yu,Anwen Liu,Xiuwen Wang,Caicun Zhou,Diansheng Zhong,Liyun Miao,Zhihong Zhang,Hui Zhao,Jun Yang,Dong Wang,Yingyi Wang,Qiang Li,Xiaodong Zhang,Mei Ji,Zhenzhou Yang,Jiuwei Cui,Beili Gao,Buhai Wang,Hu Liu,Lei Nie,Mei He,Shi Jin,Wei Gu,Yongqian Shu,Tong Zhou,Jian Feng,Xinmei Yang,Cheng Huang,Bo Zhu,Yu Yao,Jianjun Yu,Sheng Yao,R. Shen,Zhijie Wang,Jie Wang
摘要
Stratification strategies for chemotherapy plus PD-1 inhibitors in advanced non-small-cell lung cancer (NSCLC) are critically demanded. We performed high-throughput panel-based deep next-generation sequencing and low-pass whole genome sequencing on prospectively collected circulating tumor DNA (ctDNA) specimens from 460 patients in the phase 3 CHOICE-01 study at different time points. We identified predictive markers for chemotherapy plus PD-1 inhibitor, including ctDNA status and genomic features such as blood-based tumor mutational burden, intratumor heterogeneity, and chromosomal instability. Furthermore, we established an integrated ctDNA-based stratification strategy, blood-based genomic immune subtypes (bGIS) scheme, to distinguish patients who benefit from the addition of PD-1 inhibitor to first-line chemotherapy. Moreover, we demonstrated potential applications for the dynamic monitoring of ctDNA. Overall, we proposed a potential therapeutic algorithm based on the ctDNA-based stratification strategy, shedding light on the individualized management of immune-chemotherapies for patients with advanced NSCLC.