Evidence map›Paper›PMID 30274976›Full record

ArticleClinical chemistry2018

Denaturation-Enhanced Droplet Digital PCR for Liquid Biopsies.

Mariana Fitarelli-Kiehl, Fangyan Yu, Ravina Ashtaputre, Ka Wai Leong, Ioannis Ladas, Julianna Supplee, Cloud Paweletz, Devarati Mitra, Jonathan D Schoenfeld, Sareh Parangi and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  7. Article
  8. Circulating Tumor DNA in Pediatric Cancer.Frontiers in molecular biosciences · 2022
    Review
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  11. Article
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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

11 authors at 4 institutions in 1 country.

Mariana Fitarelli-KiehlDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Fangyan YuDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Ravina AshtaputreDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Ka Wai LeongDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Ioannis LadasDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Julianna SuppleeDepartment of Medical Oncology and Belfer Institute for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Cloud PaweletzDepartment of Medical Oncology and Belfer Institute for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Devarati MitraDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Jonathan D SchoenfeldDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Sareh ParangiDepartment of General & Gastrointestinal Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
G Mike MakrigiorgosDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA; mike_makrigiorgos@dfci.harvard.edu.
Dana-Farber Cancer Institute · USHarvard University · USDana-Farber Brigham Cancer Center · USBrigham and Women's Hospital · US

Funding

Comprehensive minimal residual disease tracking in cancerR01CA221874 · NCI · DANA-FARBER CANCER INST · PI Viktor Adalsteinsson, G. Mike Makrigiorgos · 2018 to 2026
$2.5M
Maximum efficiency sequencing using nuclease-based mutation enrichment and digital barcodesR33CA217652 · NCI · DANA-FARBER CANCER INST · PI MAKRIGIORGOS, G. MIKE · 2017 to 2019
$1.3M
NCI NIH HHS R01 CA221874NCI NIH HHS R33 CA217652
6 · The paper itself

Abstract

backgroundAlthough interest in droplet-digital PCR technology (ddPCR) for cell-free circulating DNA (cfDNA) analysis is burgeoning, the technology is compromised by subsampling errors and the few clinical targets that can be analyzed from limited input DNA. The paucity of starting material acts as a "glass ceiling" in liquid biopsies because, irrespective how analytically sensitive ddPCR techniques are, detection limits cannot be improved past DNA input limitations.

methodsWe applied denaturation-enhanced ddPCR (dddPCR) using fragmented genomic DNA (gDNA) with defined mutations. We then tested dddPCR on cfDNA from volunteers and patients with cancer for commonly-used mutations. gDNA and cfDNA were tested with and without end repair before denaturation and digital PCR.

resultsBy applying complete denaturation of double-stranded DNA before ddPCR droplet formation the number of positive droplets increased. dddPCR using gDNA resulted in a 1.9-2.0-fold increase in data-positive droplets, whereas dddPCR applied on highly-fragmented cfDNA resulted in a 1.6-1.7-fold increase. End repair of cfDNA before denaturation enabled cfDNA to display a 1.9-2.0-fold increase in data-positive signals, similar to gDNA. Doubling of data-positive droplets doubled the number of potential ddPCR assays that could be conducted from a given DNA input and improved ddPCR precision for cfDNA mutation detection.

conclusionsdddPCR is a simple and useful modification in ddPCR that enables extraction of more information from low-input clinical samples with minor change in protocols. It should be applicable to all ddPCR platforms for mutation detection and, potentially, for gene copy-number analysis in cancer and prenatal screening.

Indexed as

Liquid BiopsyCell-Free Nucleic AcidsDNA RepairErbB ReceptorsHumansMaleMutationNeoplasmsNucleic Acid DenaturationPolymerase Chain ReactionProto-Oncogene Proteins B-rafWorkflowBRAF protein, humanCell-Free Nucleic AcidsEGFR protein, humanErbB ReceptorsProto-Oncogene Proteins B-raf

Identifiers

PMID30274976
PMCPMC6310690
OpenAlexW2893745888

What OpenQuestion holds

Textmetadata
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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.