Evidence map›Paper›PMID 36979592›Full record

ArticleBiosensors2023

Improving the Accuracy of Single-Nucleotide Variant Diagnosis Using On-Off Discriminating Primers.

Juny Shin, Cheulhee Jung

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Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Juny ShinDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.ORCID 0000-0003-4071-3622
Cheulhee JungDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.

Funding

Ministry of Science & ICT 2021R1C1C1004147Ministry of Science & ICT 2022M3A9B6082670Ministry of Trade, Industry and Energy 20009356Ministry of Trade, Industry and Energy IRGJ2203
6 · The paper itself

Abstract

Early detection of rare mutations through liquid biopsy can provide real-time information related to cancer diagnosis, prognosis, and treatment outcomes. Cell-free DNA samples used in liquid biopsies contain single-nucleotide variants (SNVs) with a variant allele frequency (VAF) of approximately ≤1%. Droplet digital polymerase chain reaction (ddPCR) is considered the gold standard of sequencing using liquid samples, generating amplicons from samples containing mutations with 0.001-0.005% VAF; however, it requires expensive equipment and time-consuming protocols. Therefore, various PCR methods for discriminating SNVs have been developed; nonetheless, non-specific amplification cannot be avoided even in the absence of mutations, which hampers the accurate diagnosis of SNVs. In this study, we introduce single-nucleotide variant on-off discrimination-PCR (Soo-PCR), a highly accurate and practical method that uses a 3'-end tailing primer for the on-off discrimination of low-abundance mutant-type targets, including SNVs. Soo-PCR minimizes the chance of incorrect judgments owing to its high discriminating power. Cancer markers, such as KRAS G12D, EGFR L858R, and EGFR T790M mutations, containing 0.1% VAF, were clearly detected in under 2 h with a high reliability comparable with that of ddPCR. This new method serves as a practical approach to accurately detect and evaluate low-abundance mutations in a user-friendly manner.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsErbB ReceptorsHumansMutationNucleotidesProtein Kinase InhibitorsReproducibility of ResultsErbB ReceptorsNucleotidesProtein Kinase Inhibitorsliquid biopsylow-abundance mutationon–off discriminationpolymerase chain reactionsingle-nucleotide variant

Identifiers

PMID36979592
PMCPMC10046569

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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.