Evidence map›Paper›PMID 35379811›Full record

ArticleNature communications2022

Ensemble of nucleic acid absolute quantitation modules for copy number variation detection and RNA profiling.

Lucia Ruojia Wu, Peng Dai, Michael Xiangjiang Wang, Sherry Xi Chen, Evan N Cohen, Gitanjali Jayachandran, Jinny Xuemeng Zhang, Angela V Serrano, Nina Guanyi Xie, Naoto T Ueno and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. 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

13 authors at 4 institutions in 2 countries.

Lucia Ruojia Wu *Department of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-5051-9685
Peng Dai *Department of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-4581-3473
Michael Xiangjiang WangDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-7009-6958
Sherry Xi ChenDepartment of Bioengineering, Rice University, Houston, TX, USA.
Evan N CohenDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4192-9644
Gitanjali JayachandranDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jinny Xuemeng ZhangNuProbe USA, Houston, TX, USA.
Angela V SerranoNuProbe USA, Houston, TX, USA.
Nina Guanyi XieDepartment of Bioengineering, Rice University, Houston, TX, USA.
Naoto T UenoDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-0166-7275
James M ReubenDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Carlos H BarcenasDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. CHBarcenas@mdanderson.org.
David Yu ZhangNuProbe USA, Houston, TX, USA. genomic.dave@gmail.com.
The University of Texas MD Anderson Cancer Center · USRice University · USCapital Medical University · CNGenomic 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

Current gold standard for absolute quantitation of a specific DNA sequence is droplet digital PCR (ddPCR), which has been applied to copy number variation (CNV) detection. However, the number of quantitation modules in ddPCR is limited by fluorescence channels, which thus limits the CNV sensitivity due to sampling error following Poisson distribution. Here we develop a PCR-based molecular barcoding NGS approach, quantitative amplicon sequencing (QASeq), for accurate absolute quantitation scalable to over 200 quantitation modules. By attaching barcodes to individual target molecules with high efficiency, 2-plex QASeq exhibits higher and more consistent conversion yield than ddPCR in absolute molecule count quantitation. Multiplexed QASeq improves CNV sensitivity allowing confident distinguishment of 2.05 ploidy from normal 2.00 ploidy. We apply multiplexed QASeq to serial longitudinal plasma cfDNA samples from patients with metastatic ERBB2+ (HER2+ ) breast cancer seeking association with tumor progression. We further show an RNA QASeq panel for targeted expression profiling.

Indexed as

Breast NeoplasmsCell-Free Nucleic AcidsDNA Copy Number VariationsFemaleHumansPolymerase Chain ReactionRNACell-Free Nucleic AcidsRNA

Identifiers

PMID35379811
PMCPMC8979981
OpenAlexW4224325686

What OpenQuestion holds

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LicenceCC BY
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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.