Evidence map›Paper›PMID 37877443›Full record

ArticleJournal of clinical laboratory analysis2023

A unified DNA- and RNA-based NGS strategy for the analysis of multiple types of variants at the dual nucleic acid level in solid tumors.

Huijuan Chen, Bing Wang, Yiran Zhang, Yingshuang Shu, Henan Dong, Qian Zhao, Chunyan Yang, Jianji Li, Xiaohong Duan, Qiming Zhou

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  4. Cell-Free DNA-Based Theranostics for Inflammatory Disorders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

10 authors at 3 institutions in 1 country.

Huijuan ChenChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.ORCID https://orcid.org/0000-0003-1126-2324
Bing WangChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Yiran ZhangChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Yingshuang ShuChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Henan DongChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Qian ZhaoChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Chunyan YangChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Jianji LiChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Xiaohong DuanChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Qiming ZhouChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Kingmed Diagnostics · CNChinese Academy of Sciences · CNTianjin University · CN

Funding

the National Human Genetic Resources Sharing Service Platform 2005DKA21300
6 · The paper itself

Abstract

backgroundTargeted next-generation sequencing (NGS) is a powerful and suitable approach to comprehensively identify multiple types of variants in tumors. RNA-based NGS is increasingly playing an important role in precision oncology. Both parallel and sequential DNA- and RNA-based approaches are expensive, burdensome, and have long turnaround times, which can be impractical in clinical practice. A streamlined, unified DNA- and RNA-based NGS approach is urgently needed in clinical practice.

methodsA DNA/RNA co-hybrid capture sequencing (DRCC-Seq) approach was designed to capture pre-capture DNA and RNA libraries in a single tube and convert them into one NGS library. The performance of the DRCC-Seq approach was evaluated by a panel of reference standards and clinical samples.

resultsThe average depth, DNA data ratio, capture ratio, and target coverage 250 (×) of the DNA panel data had a negative correlation with an increase in the proportion of RNA probes. The SNVs, indels, fusions, and MSI status were not affected by the proportion of RNA probes, but the copy numbers of the target genes were higher than expected in the standard materials, and many unexpected gene amplifications were found using D:R (1:2) and D:R (1:4) probe panels. The optimal ratio of DNA and RNA probes in the combined probe panel was 1:1 using the DRCC-Seq approach. The DRCC-Seq approach was feasible and reliable for detecting multiple types of variants in reference standards and real-world clinical samples.

conclusionsThe DRCC-Seq approach is more cost-effective, with a shorter turnaround time and lower labor requirements than either parallel or sequential targeted DNA NGS and RNA NGS. It is feasible to identify multiple genetic variations at the DNA and RNA levels simultaneously in clinical practice.

Indexed as

NeoplasmsNucleic AcidsDNAHigh-Throughput Nucleotide SequencingHumansPrecision MedicineRNARNA ProbesDNANucleic AcidsRNARNA ProbesDNA-based NGSgenomic variationsnext-generation sequencingRNA-based NGS

Identifiers

PMID37877443
PMCPMC10681543
OpenAlexW4387931934

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.