Evidence map›Paper›PMID 30735225›Full record

ArticleLab on a chip2019

An ultrasensitive test for profiling circulating tumor DNA using integrated comprehensive droplet digital detection.

Chen-Yin Ou, Tam Vu, Jonathan T Grunwald, Michael Toledano, Jan Zimak, Melody Toosky, Byron Shen, Jason A Zell, Enrico Gratton, Timothy J Abram and 1 more

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Developing Micro/Nanostructured Fluidic Mixing Technology for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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  12. A Review of Circulating Tumor DNA in the Diagnosis and Monitoring of Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Nanotechnology Strategies for the Analysis of Circulating Tumor DNA: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Review
  19. Article
  20. 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

11 authors.

Chen-Yin OuVelox Biosystems, 5 Mason, Suite 160, Irvine, CA 92618, USA. tabram@veloxbio.com.
Tam Vu
Jonathan T Grunwald
Michael Toledano
Jan Zimak
Melody Toosky
Byron Shen
Jason A Zell
Enrico Gratton
Timothy J Abram
Weian Zhao

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Integrated Comprehensive Droplet Digital Detection (IC 3D) system for rapid detection of bacteria andantimicrobial resistanceR01AI117061 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI ZHAO, WEIAN · 2015 to 2019
$5.1M
National Science Foundation DGE-1839285NCATS NIH HHS UL1 TR001414NCI NIH HHS P30 CA062203NIAID NIH HHS R01 AI117061
6 · The paper itself

Abstract

Current cancer detection systems lack the required sensitivity to reliably detect minimal residual disease (MRD) and recurrence at the earliest stages when treatment would be most effective. To address this issue, we present a novel liquid biopsy approach that utilizes an integrated comprehensive droplet digital detection (IC3D) digital PCR system which combines microfluidic droplet partitioning, fluorescent multiplex PCR chemistry, and our rapid 3D, large-volume droplet counting technology. The IC3D ddPCR assay can detect cancer-specific, ultra-rare genomic targets due to large sample input and high degree of partitioning. We first demonstrate our droplet digital PCR assay can robustly detect common cancer mutants including KRAS G12D spiked in wild-type genomic background or isolated from patient samples with 100% specificity. We then demonstrate that the IC3D ddPCR system can detect oncogenic KRAS G12D mutant alleles against a background of wild-type genomes at a sensitivity of 0.00125-0.005% with a false positive rate of 0% which is 50 to 1000× more sensitive than existing commercial liquid biopsy ddPCR and qPCR platforms, respectively. In addition, our technology can uniquely enable detection of circulating tumor cells using their genetic markers without a pre-enrichment step, and analysis of total tumor DNA isolated from blood samples, which will increase clinical sensitivity and specificity, and minimize inter-assay variability. Therefore, our technology holds the potential to provide clinicians with a powerful decision-making tool to monitor and treat MRD with unprecedented sensitivity for earlier stage intervention.

Indexed as

Cell Line, TumorCirculating Tumor DNAColorectal NeoplasmsGenetic MarkersHumansMultiplex Polymerase Chain ReactionNeoplastic Cells, CirculatingPolymorphism, Single NucleotideProto-Oncogene Proteins p21(ras)Circulating Tumor DNAGenetic MarkersProto-Oncogene Proteins p21(ras)

Identifiers

PMID30735225
PMCPMC6559803

What OpenQuestion holds

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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.