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

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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 , Xiaoliang Sunney Xie , Fan Bai , Jie Wang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1158/1078-0432.c.6528782

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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Chemotherapy Circulating tumor cell Lung cancer Medicine Internal medicine Oncology Cancer research Cancer Biology Metastasis

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/1078-0432.c.6528782
OA Status: gold
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OpenAlex ID: https://openalex.org/W4361959353

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DOI: https://doi.org/10.1158/1078-0432.c.6528782

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

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Language: en

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Publication year: 2023

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Publication date: 2023-03-31

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Authors: 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, Xiaoliang Sunney Xie, Fan Bai, Jie Wang

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Landing page: https://doi.org/10.1158/1078-0432.c.6528782

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Concepts: Chemotherapy, Circulating tumor cell, Lung cancer, Medicine, Internal medicine, Oncology, Cancer research, Cancer, Biology, Metastasis

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abstract_inverted_index.evolution	36
abstract_inverted_index.inferring	34
abstract_inverted_index.initially	214
abstract_inverted_index.monitored	77
abstract_inverted_index.mutations	70
abstract_inverted_index.potential	235
abstract_inverted_index.prolonged	129
abstract_inverted_index.recruited	56
abstract_inverted_index.CellSearch	67
abstract_inverted_index.classifier	106
abstract_inverted_index.comparison	141
abstract_inverted_index.consistent	215
abstract_inverted_index.first-line	138
abstract_inverted_index.mutational	91
abstract_inverted_index.predictive	169, 173
abstract_inverted_index.sensitive)	184
abstract_inverted_index.sequencing	24, 80, 85, 218
abstract_inverted_index.small-cell	3
abstract_inverted_index.specimens.	14
abstract_inverted_index.(refractory	182
abstract_inverted_index.alterations	74
abstract_inverted_index.circulating	26
abstract_inverted_index.established	103
abstract_inverted_index.investigate	19
abstract_inverted_index.progression	38
abstract_inverted_index.single-cell	23, 79
abstract_inverted_index.suitability	21
abstract_inverted_index.availability	11
abstract_inverted_index.chemotherapy	111, 139
abstract_inverted_index.demonstrated	119
abstract_inverted_index.evolutionary	228
abstract_inverted_index.chemotherapy,	202
abstract_inverted_index.consecutively	50
abstract_inverted_index.heterogeneity	207
abstract_inverted_index.respectively.	189
abstract_inverted_index.significantly	128
abstract_inverted_index.stratification	238
abstract_inverted_index.allele-specific	192
abstract_inverted_index.progression-free	130
abstract_inverted_index.<i>P</i>	154, 164
abstract_inverted_index.Design:<p>Between	41
abstract_inverted_index.SCLC.</p></div>	242
abstract_inverted_index.SCLCs.</p>Experimental	40
abstract_inverted_index.CNAs.</p>Conclusions:<p>Single	216
abstract_inverted_index.<div>AbstractPurpose:<p>Genomic	0
abstract_inverted_index.chemotherapy.</p>Results:<p>Single-cell	84
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	21
sustainable_development_goals[0].id	https://metadata.un.org/sdg/3
sustainable_development_goals[0].score	0.44999998807907104
sustainable_development_goals[0].display_name	Good health and well-being
citation_normalized_percentile.value	0.19004384
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False