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Genomic Analysis of Circulating Tumor Cells at the Single-Cell Level.
Lu, Shan; Chang, Chia-Jung; Guan, Yinghui; Szafer-Glusman, Edith; Punnoose, Elizabeth; Do, An; Suttmann, Becky; Gagnon, Ross; Rodriguez, Angel; Landers, Mark; Spoerke, Jill; Lackner, Mark R; Xiao, Wenzhong; Wang, Yulei.
Affiliation
  • Lu S; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California; Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California.
  • Chang CJ; Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California.
  • Guan Y; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Szafer-Glusman E; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Punnoose E; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Do A; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Suttmann B; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Gagnon R; Division of Expression Analysis Genomics, Q2 Solutions, Morrisville, North Carolina.
  • Rodriguez A; Department of Translational Research, Epic Sciences Inc., San Diego, California.
  • Landers M; Department of Translational Research, Epic Sciences Inc., San Diego, California.
  • Spoerke J; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Lackner MR; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
  • Xiao W; Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California. Electronic address: wzxiao@stanford.edu.
  • Wang Y; Department of Oncology Biomarker Development, Genentech Inc., South San Francisco, California. Electronic address: wang.yulei@gene.com.
J Mol Diagn ; 22(6): 770-781, 2020 06.
Article in En | MEDLINE | ID: mdl-32247862
Circulating tumor cells (CTCs) have a great potential for noninvasive diagnosis and real-time monitoring of cancer. A comprehensive evaluation of four whole genome amplification (WGA)/next-generation sequencing workflows for genomic analysis of single CTCs, including PCR-based (GenomePlex and Ampli1), multiple displacement amplification (Repli-g), and hybrid PCR- and multiple displacement amplification-based [multiple annealing and loop-based amplification cycling (MALBAC)] is reported herein. To demonstrate clinical utilities, copy number variations (CNVs) in single CTCs isolated from four patients with squamous non-small-cell lung cancer were profiled. Results indicate that MALBAC and Repli-g WGA have significantly broader genomic coverage compared with GenomePlex and Ampli1. Furthermore, MALBAC coupled with low-pass whole genome sequencing has better coverage breadth, uniformity, and reproducibility and is superior to Repli-g for genome-wide CNV profiling and detecting focal oncogenic amplifications. For mutation analysis, none of the WGA methods were found to achieve sufficient sensitivity and specificity by whole exome sequencing. Finally, profiling of single CTCs from patients with non-small-cell lung cancer revealed potentially clinically relevant CNVs. In conclusion, MALBAC WGA coupled with low-pass whole genome sequencing is a robust workflow for genome-wide CNV profiling at single-cell level and has great potential to be applied in clinical investigations. Nevertheless, data suggest that none of the evaluated single-cell sequencing workflows can reach sufficient sensitivity or specificity for mutation detection required for clinical applications.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / DNA Copy Number Variations / Single-Cell Analysis / Lung Neoplasms / Neoplastic Cells, Circulating Type of study: Diagnostic_studies / Evaluation_studies Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2020 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / DNA Copy Number Variations / Single-Cell Analysis / Lung Neoplasms / Neoplastic Cells, Circulating Type of study: Diagnostic_studies / Evaluation_studies Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2020 Document type: Article Country of publication: