Evidence map›Paper›PMID 34675197›Full record

ArticleNature communications2021

Calibration-free NGS quantitation of mutations below 0.01% VAF.

Peng Dai, Lucia Ruojia Wu, Sherry Xi Chen, Michael Xiangjiang Wang, Lauren Yuxuan Cheng, Jinny Xuemeng Zhang, Pengying Hao, Weijie Yao, Jabra Zarka, Ghayas C Issa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Detection of theJournal of clinical medicine · 2024
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  13. Phase I Study of GS-3583, an FMS-like Tyrosine Kinase 3 Agonist Fc Fusion Protein, in Patients with Advanced Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

12 authors at 3 institutions in 1 country.

Peng Dai *Department of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-4581-3473
Lucia Ruojia Wu *Department of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-5051-9685
Sherry Xi ChenDepartment of Bioengineering, Rice University, Houston, TX, USA.
Michael Xiangjiang WangDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-7009-6958
Lauren Yuxuan ChengDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-7692-5446
Jinny Xuemeng ZhangNuProbe USA, Houston, TX, USA.
Pengying HaoNuProbe USA, Houston, TX, USA.
Weijie YaoNuProbe USA, Houston, TX, USA.
Jabra ZarkaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-8668-6741
Ghayas C IssaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-4339-8683
Lawrence KwongDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David Yu ZhangDepartment of Bioengineering, Rice University, Houston, TX, USA. genomic.dave@gmail.com.
Rice University · USThe University of Texas MD Anderson Cancer Center · USGenomic Health (United States) · US

Funding

Lung Cancer Screening via Ultrasensitive and Cost-efficient Analysis of Tumor DNA Signatures in BloodU01CA233364 · NCI · YALE UNIVERSITY · PI PATEL, ABHIJIT, SKATES, STEVEN J · 2018 to 2022
$3.4M
Highly multiplexed and mutation-sensitive quantitative PCR for cancer diagnosticsR01CA203964 · NCI · RICE UNIVERSITY · PI ZHANG, DAVID YU · 2016 to 2020
$3.0M
NCI NIH HHS R01 CA203964NCI NIH HHS U01 CA233364
6 · The paper itself

Abstract

Quantitation of rare somatic mutations is essential for basic research and translational clinical applications including minimal residual disease (MRD) detection. Though unique molecular identifier (UMI) has suppressed errors for rare mutation detection, the sequencing depth requirement is high. Here, we present Quantitative Blocker Displacement Amplification (QBDA) which integrates sequence-selective variant enrichment into UMI quantitation for accurate quantitation of mutations below 0.01% VAF at only 23,000X depth. Using a panel of 20 genes recurrently altered in acute myeloid leukemia, we demonstrate quantitation of various mutations including single base substitutions and indels down to 0.001% VAF at a single locus with less than 4 million sequencing reads, allowing sensitive MRD detection in patients during complete remission. In a pan-cancer panel and a melanoma hotspot panel, we detect mutations down to 0.1% VAF using only 1 million reads. QBDA provides a convenient and versatile method for sensitive mutation quantitation using low-depth sequencing.

Indexed as

MutationCalibrationHigh-Throughput Nucleotide SequencingHumansLeukemia, Myeloid, AcuteMelanomaNeoplasm, Residual

Identifiers

PMID34675197
PMCPMC8531361
OpenAlexW3171641674

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.