Evidence map›Paper›PMID 32247862›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

Genomic Analysis of Circulating Tumor Cells at the Single-Cell Level.

Shan Lu, Chia-Jung Chang, Yinghui Guan, Edith Szafer-Glusman, Elizabeth Punnoose, An Do, Becky Suttmann, Ross Gagnon, Angel Rodriguez, Mark Landers and 4 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  12. New Perspectives for Whole Genome Amplification in Forensic STR Analysis.International journal of molecular sciences · 2022
    Review
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  15. Article
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  18. Review
  19. Single-Cell Analysis of BRAFMethods in molecular biology (Clifton, N.J.) · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Shan LuDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California; Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California.
Chia-Jung ChangStanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California.
Yinghui GuanDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Edith Szafer-GlusmanDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Elizabeth PunnooseDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
An DoDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Becky SuttmannDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Ross GagnonDivision of Expression Analysis Genomics, Q2 Solutions, Morrisville, North Carolina.
Angel RodriguezDepartment of Translational Research, Epic Sciences Inc., San Diego, California.
Mark LandersDepartment of Translational Research, Epic Sciences Inc., San Diego, California.
Jill SpoerkeDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Mark R LacknerDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California.
Wenzhong XiaoStanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California. Electronic address: wzxiao@stanford.edu.
Yulei WangDepartment of Oncology Biomarker Development, Genentech Inc., South San Francisco, California. Electronic address: wang.yulei@gene.com.
Epic Sciences (United States) · USStanford University · USGene Therapy Laboratory · FRQ2 Solutions (United States) · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DNA Copy Number VariationsCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisGenome, HumanHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsNeoplastic Cells, CirculatingPC-3 CellsPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySingle-Cell AnalysisWhole Genome Sequencing

Identifiers

PMID32247862
PMCPMC8351127
OpenAlexW3014483374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.