Evidence map›Paper›PMID 34250423›Full record

ArticleJCO precision oncology2021

Validation of ctDNA Quality Control Materials Through a Precompetitive Collaboration of the Foundation for the National Institutes of Health.

P Mickey Williams, Thomas Forbes, Steven P Lund, Kenneth D Cole, Hua-Jun He, Chris Karlovich, Cloud P Paweletz, Daniel Stetson, Laura M Yee, Dana E Connors and 7 more

Abstract readValidation Study
In one paragraph

Article in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

17 authors.

P Mickey WilliamsMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD.ORCID 0000-0002-3309-5988
Thomas ForbesMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD.
Steven P LundNational Institute of Standards and Technology, Gaithersburg, MD.
Kenneth D ColeNational Institute of Standards and Technology, Gaithersburg, MD.
Hua-Jun HeNational Institute of Standards and Technology, Gaithersburg, MD.
Chris KarlovichMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD.
Cloud P PaweletzMedical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Daniel StetsonTranslational Medicine, Oncology R&D, AstraZeneca, Waltham, MA.ORCID 0000-0002-3961-2739
Laura M YeeDivision of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Dana E ConnorsFoundation for the National Institutes of Health, Bethesda, MD.ORCID 0000-0001-7930-6843
Susan M KeatingCCS Associates, San Jose, CA.
Benoit DestenavesTranslational Medicine, Oncology R&D, AstraZeneca, Waltham, MA.
Megan H ClevelandNational Institute of Standards and Technology, Gaithersburg, MD.ORCID 0000-0002-5584-9314
Christie J LauMedical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-4008-386X
J Carl BarrettTranslational Medicine, Oncology R&D, AstraZeneca, Waltham, MA.
Gary J KelloffNational Cancer Institute, Rockville, MD.
Robert T McCormackIndependent.

Funding

Early change in plasma tumor DNA as a patient and trial-level diagnostic in advanced lung cancerR01CA240592 · NCI · DANA-FARBER CANCER INST · PI PAWELETZ, CLOUD PETER · 2020 to 2024
$2.2M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS R01 CA240592
6 · The paper itself

Abstract

We report the results from a Foundation for the National Institutes of Health Biomarkers Consortium project to address the absence of well-validated quality control materials (QCMs) for circulating tumor DNA (ctDNA) testing. This absence is considered a cause of variance and inconsistencies in translating ctDNA results into clinical actions.

methodsIn this phase I study, QCMs with 14 clinically relevant mutations representing single nucleotide variants, insertions or deletions (indels), translocations, and copy number variants were sourced from three commercial manufacturers with variant allele frequencies (VAFs) of 5%, 2.5%, 1%, 0.1%, and 0%. Four laboratories tested samples in quadruplicate using two allele-specific droplet digital polymerase chain reaction and three (amplicon and hybrid capture) next-generation sequencing (NGS) panels.

resultsThe two droplet digital polymerase chain reaction assays reported VAF values very close to the manufacturers' claimed concentrations for all QCMs. NGS assays reported most single nucleotide variants and indels, but not translocations, close to the expected VAF values. Notably, two NGS assays reported lower VAF than expected for all translocations in all QCM mixtures, possibly related to technical challenges detecting these variants. The ability to call

conclusionThese results support the utility of the QCM in testing ctDNA assay analytical performance. However, unique designs and manufacturing methods for the QCM, and variations in a laboratory's testing configuration, may require testing of multiple QCMs to find the best reagents for accurate result interpretation.

Indexed as

High-Throughput Nucleotide SequencingPolymerase Chain ReactionQuality ControlBiomarkers, TumorCirculating Tumor DNADNA Copy Number VariationsGene FrequencyHumansMutationNational Institutes of Health (U.S.)NeoplasmsUnited StatesBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID34250423
PMCPMC8232894

What OpenQuestion holds

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Registered trials

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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.