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.


Journal

Journal of clinical laboratory analysis
ISSN: 1098-2825
Titre abrégé: J Clin Lab Anal
Pays: United States
ID NLM: 8801384

Informations de publication

Date de publication:
Oct 2023
Historique:
revised: 27 09 2023
received: 11 07 2023
accepted: 15 10 2023
medline: 29 11 2023
pubmed: 25 10 2023
entrez: 25 10 2023
Statut: ppublish

Résumé

Targeted 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. A 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. The 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. The 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.

Sections du résumé

BACKGROUND BACKGROUND
Targeted 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.
METHODS METHODS
A 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.
RESULTS RESULTS
The 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.
CONCLUSIONS CONCLUSIONS
The 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.

Identifiants

pubmed: 37877443
doi: 10.1002/jcla.24977
pmc: PMC10681543
doi:

Substances chimiques

RNA 63231-63-0
Nucleic Acids 0
RNA Probes 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e24977

Subventions

Organisme : the National Human Genetic Resources Sharing Service Platform
ID : 2005DKA21300

Informations de copyright

© 2023 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

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Auteurs

Huijuan Chen (H)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
Computer Network Information Center, Chinese Academy of Sciences, Beijing, China.
WillingMed Technology Beijing Co., Ltd., Beijing, China.

Bing Wang (B)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Yiran Zhang (Y)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Yingshuang Shu (Y)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Henan Dong (H)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Qian Zhao (Q)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Chunyan Yang (C)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Jianji Li (J)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.

Xiaohong Duan (X)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
ChosenMed Technology (Zhejiang) Co. Ltd., Zhejiang, China.
Institute of Disaster and Emergency Medicine, Medical College, Tianjin University, TianJin, China.

Qiming Zhou (Q)

ChosenMed Clinical Laboratory (Beijing) Co. Ltd., Beijing, China.
ChosenMed Technology (Zhejiang) Co. Ltd., Zhejiang, China.

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Classifications MeSH