Multi-region exome sequencing reveals the intratumoral heterogeneity of surgically resected small cell lung cancer

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作者
Huaqiang Zhou
Yi Hu
Rongzhen Luo
Yuanyuan Zhao
Hui Pan
Liyan Ji
Ting Zhou
Lanjun Zhang
Hao Long
Jianhua Fu
Zhesheng Wen
Siyu Wang
Xin Wang
Peng Lin
Haoxian Yang
Junye Wang
Mengmeng Song
Xin Yi
Ling Yang
Xuefang Xia
Yanfang Guan
Wenfeng Fang
Yunpeng Yang
Shaodong Hong
Yan Huang
Pansong Li
Yaxiong Zhang
Ningning Zhou
机构
[1] Sun Yat-Sen University Cancer Center,Department of Medical Oncology
[2] State Key Laboratory of Oncology in South China,Department of Thoracic Surgery
[3] Collaborative Innovation Center for Cancer Medicine,Department of Pathology
[4] Sun Yat-Sen University Cancer Center,Department of Clinical Research
[5] State Key Laboratory of Oncology in South China,Department of Thoracic Surgery
[6] Collaborative Innovation Center for Cancer Medicine,undefined
[7] Guangdong Esophageal Cancer Institute (GECI),undefined
[8] Sun Yat-Sen University Cancer Center,undefined
[9] State Key Laboratory of Oncology in South China,undefined
[10] Collaborative Innovation Center for Cancer Medicine,undefined
[11] Sun Yat-Sen University Cancer Center,undefined
[12] State Key Laboratory of Oncology in South China,undefined
[13] Collaborative Innovation Center for Cancer Medicine,undefined
[14] Geneplus-Beijing Institute,undefined
[15] Sun Yat-Sen University Cancer Center,undefined
[16] State Key Laboratory of Oncology in South China,undefined
[17] Collaborative Innovation Center for Cancer Medicine,undefined
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摘要
Small cell lung cancer (SCLC) is a highly malignant tumor which is eventually refractory to any treatment. Intratumoral heterogeneity (ITH) may contribute to treatment failure. However, the extent of ITH in SCLC is still largely unknown. Here, we subject 120 tumor samples from 40 stage I-III SCLC patients to multi-regional whole-exome sequencing. The most common mutant genes are TP53 (88%) and RB1 (72%). We observe a medium level of mutational heterogeneity (0.30, range 0.0~0.98) and tumor mutational burden (TMB, 10.2 mutations/Mb, range 1.1~51.7). Our SCLC samples also exhibit somatic copy number variation (CNV) across all patients, with an average CNV ITH of 0.49 (range 0.02~0.99). In terms of mutation distribution, ITH, TMB, mutation clusters, and gene signatures, patients with combined SCLC behave roughly the same way as patients with pure SCLC. This condition also exists in smoking patients and patients with EGFR mutations. A higher TMB per cluster is associated with better disease-free survival while single-nucleotide variant ITH is linked to worse overall survival, and therefore these features may be used as prognostic biomarkers for SCLC. Together, these findings demonstrate the intratumoral genetic heterogeneity of surgically resected SCLC and provide insights into resistance to treatment.
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