Inferring the Evolution and Progression of Small-Cell Lung Cancer by Single-Cell Sequencing of Circulating Tumor Cells

循环肿瘤细胞 肺癌 化疗 医学 内科学 肿瘤科 癌症的体细胞进化 生物 癌症 转移
作者
Zhe Su,Zhijie Wang,Xiaohui Ni,Jianchun Duan,Yan Gao,Minglei Zhuo,Ruoyan Li,Jun Zhao,Qi Ma,Hua Bai,Hengyu Chen,Shuhang Wang,Xixi Chen,Tongtong An,Yuyan Wang,Yanhua Tian,Jiangyong Yu,Di Wang,X. Sunney Xie,Fan Bai,Jie Wang
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:25 (16): 5049-5060 被引量:73
标识
DOI:10.1158/1078-0432.ccr-18-3571
摘要

Abstract Purpose: Genomic analyses of small-cell lung cancer (SCLC) are limited by the availability of tumor specimens. This study aimed to investigate the suitability of single-cell sequencing of circulating tumor cells (CTC) as a method of inferring the evolution and progression of SCLCs. Experimental Design: Between July 1, 2011, and July 28, 2014, 48 consecutively diagnosed patients with SCLC were recruited for this study. CTCs were captured from each patient with CellSearch system. Somatic mutations and copy number alterations (CNA) were monitored by single-cell sequencing of CTCs during chemotherapy. Results: Single-cell sequencing of CTCs can provide a mutational atlas for SCLC. A 10-CNA score based on single CTCs was established as a classifier for outcomes of initial chemotherapy in patients with SCLC. The survival analyses demonstrated that patients with low CNA scores (<0) had significantly prolonged progression-free survival (PFS) and overall survival (OS) after first-line chemotherapy in comparison with those with high scores (≥0; PFS: 212 days vs. 110.5 days, P = 0.0042; and OS: 223.5 days vs. 424 days, P = 0.0006). The positive predictive value and negative predictive value of the CNA score for clinical subtype (refractory vs. sensitive) were 80.0% and 93.7%, respectively. By tracing allele-specific CNAs in CTCs isolated at different time points during chemotherapy, we showed that CNA heterogeneity might result from allelic losses of initially consistent CNAs. Conclusions: Single CTC-based sequencing can be utilized to depict the genomic profiles and evolutionary history of SCLC, thus offering the potential for clinical stratification of patients with SCLC.
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