Evidence map›Paper›PMID 30796246›Full record

ArticleScientific reports2019

KRAS genotyping by digital PCR combined with melting curve analysis.

Junko Tanaka, Tatsuo Nakagawa, Akiko Shiratori, Yuzuru Shimazaki, Chihiro Uematsu, Masao Kamahori, Takahide Yokoi, Kunio Harada, Yoshinobu Kohara

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. [Advances in Diagnosis and Targeted Therapy of KRASG12C Mutant 
Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  5. Article
  6. StratoLAMP: Label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of precipitate.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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

9 authors at 1 institution in 1 country.

Junko TanakaCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan. junko.tanaka.gw@hitachi.com.ORCID 0000-0003-2802-1797
Tatsuo NakagawaCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Akiko ShiratoriCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Yuzuru ShimazakiCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.ORCID 0000-0002-3342-3785
Chihiro UematsuCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Masao KamahoriCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Takahide YokoiCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Kunio HaradaCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Yoshinobu KoharaCenter for Technology Innovation - Healthcare, Research & Development Group, Hitachi, Ltd.,1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Hitachi (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital PCR (dPCR) has been developed as a method that can quantify nucleic acids more sensitively than real-time PCR. However, dPCR exhibits large fluctuations in the fluorescence intensity of the compartment, resulting in low accuracy. The main cause is most likely due to insufficient PCR. In this study, we proposed a new method that combines dPCR with melting curve analysis and applied that method to KRAS genotyping. Since the melting temperature (Tm) of the PCR product hardly depends on the amplification efficiency, genotyping accuracy is improved by using the Tm value. The results showed that the peaks of the distribution of the Tm values of DNA in the wells were 68.7, 66.3, and 62.6 °C for wild-type KRAS, the G12R mutant, and the G12D mutant, respectively, and the standard deviation of the Tm values was 0.2 °C for each genotype. This result indicates that the proposed method is capable of discriminating between the wild-type sequence and the two mutants. To the best of our knowledge, this is the first demonstration of the genotyping of single mutations by combining melting curve analysis and dPCR. The application of this approach could be useful for the quantification and genotyping of cancer-related genes in low-abundance samples.

Indexed as

Genotyping TechniquesNucleic Acid DenaturationReal-Time Polymerase Chain ReactionFluorescenceHCT116 CellsHumansMolecular ProbesMutationProto-Oncogene Proteins p21(ras)KRAS protein, humanMolecular ProbesProto-Oncogene Proteins p21(ras)

Identifiers

PMID30796246
PMCPMC6384904
OpenAlexW2917049707

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.