Evidence map›Paper›PMID 29323170›Full record

ArticleScientific reports2018

Droplet digital PCR-based EGFR mutation detection with an internal quality control index to determine the quality of DNA.

Sung-Su Kim, Hyun-Jeung Choi, Jin Ju Kim, M Sun Kim, In-Seon Lee, Bohyun Byun, Lina Jia, Myung Ryurl Oh, Youngho Moon, Sarah Park and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Detection of theFrontiers in medicine · 2020
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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

21 authors at 11 institutions in 4 countries.

Sung-Su KimLaboratory of Molecular Pathology and Cancer Genomics, College of Pharmacy, Seoul National University, Seoul, Korea.
Hyun-Jeung ChoiThe Center for Companion Diagnostics, LOGONE Bio Convergence Research Foundation, Seoul, Korea.
Jin Ju KimThe Center for Companion Diagnostics, LOGONE Bio Convergence Research Foundation, Seoul, Korea.
M Sun KimR&D Center, Gencurix Inc., Seoul, Korea.
In-Seon LeeThe Center for Anti-Cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, Korea.
Bohyun ByunThe Center for Anti-Cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, Korea.
Lina JiaDepartment of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
Myung Ryurl OhCRO Center, Abion Inc., Seoul, Korea.
Youngho MoonR&D Center, Gencurix Inc., Seoul, Korea.
Sarah ParkThe Center for Anti-Cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, Korea.
Joon-Seok ChoiCollege of Pharmacy, Daegu Catholic University, Gyeongbuk, Korea.
Seoung Wan ChaeDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Byung-Ho NamThe Institute of Advanced Clinical & Biomedical Research, HERINGS, Seoul, Korea.
Jin-Soo KimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Jihun KimDepartment of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.ORCID http://orcid.org/0000-0002-8694-4365
Byung Soh MinDepartment of Surgery, Yonsei University School of Medicine, Seoul, Korea.
Jae Seok LeeDepartment of Pathology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.
Jae-Kyung WonDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Soo Youn ChoDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yoon-La ChoiDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young Kee ShinLaboratory of Molecular Pathology and Cancer Genomics, College of Pharmacy, Seoul National University, Seoul, Korea. ykeeshin@snu.ac.kr.
Seoul National University · KRUlsan College · KRGeneMatrix (South Korea) · KRSamsung Medical Center · KRDaegu Catholic University · KRKangbuk Samsung Hospital · KRSamsung (South Korea) · KRSeoul National University Hospital · KRSeoul National University of Science and Technology · KRShenyang Pharmaceutical University · CNYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In clinical translational research and molecular in vitro diagnostics, a major challenge in the detection of genetic mutations is overcoming artefactual results caused by the low-quality of formalin-fixed paraffin-embedded tissue (FFPET)-derived DNA (FFPET-DNA). Here, we propose the use of an 'internal quality control (iQC) index' as a criterion for judging the minimum quality of DNA for PCR-based analyses. In a pre-clinical study comparing the results from droplet digital PCR-based EGFR mutation test (ddEGFR test) and qPCR-based EGFR mutation test (cobas EGFR test), iQC index ≥ 0.5 (iQC copies ≥ 500, using 3.3 ng of FFPET-DNA [1,000 genome equivalents]) was established, indicating that more than half of the input DNA was amplifiable. Using this criterion, we conducted a retrospective comparative clinical study of the ddEGFR and cobas EGFR tests for the detection of EGFR mutations in non-small cell lung cancer (NSCLC) FFPET-DNA samples. Compared with the cobas EGFR test, the ddEGFR test exhibited superior analytical performance and equivalent or higher clinical performance. Furthermore, iQC index is a reliable indicator of the quality of FFPET-DNA and could be used to prevent incorrect diagnoses arising from low-quality samples.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungDNAErbB ReceptorsHumansLung NeoplasmsMolecular Diagnostic TechniquesMutationPolymerase Chain ReactionReference StandardsBiomarkers, TumorDNAEGFR protein, humanErbB Receptors

Identifiers

PMID29323170
PMCPMC5765147
OpenAlexW2782141464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.