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Circulating tumor DNA-based stratification strategy for chemotherapy plus PD-1 inhibitor in advanced non-small-cell lung cancer
Cancer Cell ( IF 48.8 ) Pub Date : 2024-09-09 , DOI: 10.1016/j.ccell.2024.08.013 Jiachen Xu 1 , Rui Wan 1 , Yiran Cai 2 , Shangli Cai 2 , Lin Wu 3 , Baolan Li 4 , Jianchun Duan 1 , Ying Cheng 5 , Xiaoling Li 6 , Xicheng Wang 7 , Liang Han 8 , Xiaohong Wu 9 , Yun Fan 10 , Yan Yu 11 , Dongqing Lv 12 , Jianhua Shi 13 , Jianjin Huang 14 , Shaozhang Zhou 15 , Baohui Han 16 , Guogui Sun 17 , Qisen Guo 18 , Youxin Ji 19 , Xiaoli Zhu 20 , Sheng Hu 21 , Wei Zhang 22 , Qiming Wang 23 , Yuming Jia 24 , Ziping Wang 25 , Yong Song 26 , Jingxun Wu 27 , Meiqi Shi 28 , Xingya Li 29 , Zhigang Han 30 , Yunpeng Liu 31 , Zhuang Yu 32 , An-Wen Liu 33 , Xiuwen Wang 34 , Caicun Zhou 35 , Diansheng Zhong 36 , Liyun Miao 37 , Zhihong Zhang 38 , Hui Zhao 39 , Jun Yang 40 , Dong Wang 41 , Yingyi Wang 42 , Qiang Li 43 , Xiaodong Zhang 44 , Mei Ji 45 , Zhenzhou Yang 46 , Jiuwei Cui 47 , Beili Gao 48 , Buhai Wang 49 , Hu Liu 38 , Lei Nie 50 , Mei He 51 , Shi Jin 52 , Wei Gu 53 , Yongqian Shu 54 , Tong Zhou 55 , Jian Feng 56 , Xinmei Yang 57 , Cheng Huang 58 , Bo Zhu 59 , Yu Yao 60 , Jianjun Yu 61 , Sheng Yao 61 , Runxi Shen 62 , Zhijie Wang 1 , Jie Wang 1
Cancer Cell ( IF 48.8 ) Pub Date : 2024-09-09 , DOI: 10.1016/j.ccell.2024.08.013 Jiachen Xu 1 , Rui Wan 1 , Yiran Cai 2 , Shangli Cai 2 , Lin Wu 3 , Baolan Li 4 , Jianchun Duan 1 , Ying Cheng 5 , Xiaoling Li 6 , Xicheng Wang 7 , Liang Han 8 , Xiaohong Wu 9 , Yun Fan 10 , Yan Yu 11 , Dongqing Lv 12 , Jianhua Shi 13 , Jianjin Huang 14 , Shaozhang Zhou 15 , Baohui Han 16 , Guogui Sun 17 , Qisen Guo 18 , Youxin Ji 19 , Xiaoli Zhu 20 , Sheng Hu 21 , Wei Zhang 22 , Qiming Wang 23 , Yuming Jia 24 , Ziping Wang 25 , Yong Song 26 , Jingxun Wu 27 , Meiqi Shi 28 , Xingya Li 29 , Zhigang Han 30 , Yunpeng Liu 31 , Zhuang Yu 32 , An-Wen Liu 33 , Xiuwen Wang 34 , Caicun Zhou 35 , Diansheng Zhong 36 , Liyun Miao 37 , Zhihong Zhang 38 , Hui Zhao 39 , Jun Yang 40 , Dong Wang 41 , Yingyi Wang 42 , Qiang Li 43 , Xiaodong Zhang 44 , Mei Ji 45 , Zhenzhou Yang 46 , Jiuwei Cui 47 , Beili Gao 48 , Buhai Wang 49 , Hu Liu 38 , Lei Nie 50 , Mei He 51 , Shi Jin 52 , Wei Gu 53 , Yongqian Shu 54 , Tong Zhou 55 , Jian Feng 56 , Xinmei Yang 57 , Cheng Huang 58 , Bo Zhu 59 , Yu Yao 60 , Jianjun Yu 61 , Sheng Yao 61 , Runxi Shen 62 , Zhijie Wang 1 , Jie Wang 1
Affiliation
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.
中文翻译:
晚期非小细胞肺癌化疗加 PD-1 抑制剂的循环肿瘤 DNA 分层策略
迫切需要化疗加 PD-1 抑制剂治疗晚期非小细胞肺癌 (NSCLC) 的分层策略。我们对 3 期 CHOICE-01 研究中 460 例患者在不同时间点前瞻性收集的循环肿瘤 DNA (ctDNA) 标本进行了高通量基于面板的深度下一代测序和低通全基因组测序。我们确定了化疗加 PD-1 抑制剂的预测标志物,包括 ctDNA 状态和基因组特征,例如基于血液的肿瘤突变负荷、肿瘤内异质性和染色体不稳定性。此外,我们建立了一种基于 ctDNA 的综合分层策略,即基于血液的基因组免疫亚型 (bGIS) 方案,以区分在一线化疗中加入 PD-1 抑制剂的患者。此外,我们展示了 ctDNA 动态监测的潜在应用。总体而言,我们提出了一种基于基于 ctDNA 的分层策略的潜在治疗算法,阐明了晚期 NSCLC 患者免疫化疗的个体化管理。
更新日期:2024-09-09
中文翻译:
晚期非小细胞肺癌化疗加 PD-1 抑制剂的循环肿瘤 DNA 分层策略
迫切需要化疗加 PD-1 抑制剂治疗晚期非小细胞肺癌 (NSCLC) 的分层策略。我们对 3 期 CHOICE-01 研究中 460 例患者在不同时间点前瞻性收集的循环肿瘤 DNA (ctDNA) 标本进行了高通量基于面板的深度下一代测序和低通全基因组测序。我们确定了化疗加 PD-1 抑制剂的预测标志物,包括 ctDNA 状态和基因组特征,例如基于血液的肿瘤突变负荷、肿瘤内异质性和染色体不稳定性。此外,我们建立了一种基于 ctDNA 的综合分层策略,即基于血液的基因组免疫亚型 (bGIS) 方案,以区分在一线化疗中加入 PD-1 抑制剂的患者。此外,我们展示了 ctDNA 动态监测的潜在应用。总体而言,我们提出了一种基于基于 ctDNA 的分层策略的潜在治疗算法,阐明了晚期 NSCLC 患者免疫化疗的个体化管理。