Evidence map›Paper›PMID 34819539›Full record

ArticleScientific reports2021

Single-cell DNA and RNA sequencing of circulating tumor cells.

Masato Kojima, Takanori Harada, Takahiro Fukazawa, Sho Kurihara, Isamu Saeki, Shinya Takahashi, Eiso Hiyama

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Whole-Genome Amplification for Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
    Review
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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

7 authors at 2 institutions in 1 country.

Masato KojimaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Takanori HaradaNatural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan.
Takahiro FukazawaNatural Science Center for Basic Research and Development (N-BARD), Hiroshima University, Hiroshima, Japan.
Sho KuriharaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Isamu SaekiDepartment of Pediatric Surgery, Hiroshima University Hospital, Hiroshima, Japan.
Shinya TakahashiGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Eiso HiyamaGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan. eiso@hiroshima-u.ac.jp.
Hiroshima University · JPHiroshima University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing of circulating tumor cells can precisely represent tumor heterogeneity and provide useful information for cancer treatment and research. After spiking TGW neuroblastoma cells into blood derived from healthy volunteer, the cells were isolated by fluorescence-activated cell sorting. DNA and mRNA were amplified by four different whole-genome amplifications (WGA) and three whole-transcriptome amplifications (WTA) methods, followed by single-cell DNA and RNA sequencing. Multiple displacement amplification (MDA)-based WGA methods showed higher amplification efficiency than other methods with a comparable depth of coverage as the bulk sample. The uniformity of coverage greatly differed among samples (12.5-89.2%), with some samples evaluated by the MDA-based WGA method using phi29 DNA polymerase and random primers showing a high (> 80%) uniformity of coverage. The MDA-based WTA method less effectively amplified mRNA and showed non-specific gene expression patterns. The PCR-based WTA using template switching with locked nucleic acid technology accurately amplified mRNA from a single cell. Taken together, our results present a more reliable and adaptable approach for CTC profiling at the single-cell level. Such molecular information on CTCs derived from clinical patients will promote cancer treatment and research.

Indexed as

Sequence Analysis, DNASequence Analysis, RNASingle-Cell AnalysisBiomarkers, TumorCell Line, TumorDNA, NeoplasmExome SequencingGenetic HeterogeneityHigh-Throughput Nucleotide SequencingHumansNeoplastic Cells, CirculatingNeuroblastomaPolymerase Chain ReactionPredictive Value of TestsReproducibility of ResultsRNA, NeoplasmBiomarkers, TumorDNA, NeoplasmRNA, Neoplasm

Identifiers

PMID34819539
PMCPMC8613180
OpenAlexW3214944669

What OpenQuestion holds

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LicenceCC BY
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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.