Evidence map›Paper›PMID 26765781›Full record

ArticlePloS one2016

Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method.

Yanni Zhang, En-Tzu Tang, Zhiqiang Du

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Review
  2. Droplet Digital PCR Improves Detection ofInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Plasma ddPCR for the detection ofTherapeutic advances in medical oncology · 2024
    Article
  5. Review
  6. Article
  7. Detection ofCancer research communications · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Article
  12. Review
  13. Article
  14. Review
  15. The NHanceBiomedicines · 2021
    Article
  16. Has programmed cell death ligand-1Translational lung cancer research · 2021
    Review
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Yanni ZhangAmgen Biopharmaceutical Research & Development (Shanghai) Co., Ltd, Shanghai, China.
En-Tzu TangAmgen Biopharmaceutical Research & Development (Shanghai) Co., Ltd, Shanghai, China.
Zhiqiang DuAmgen Biopharmaceutical Research & Development (Shanghai) Co., Ltd, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe analysis of MET gene copy number (CN) has been considered to be a potential biomarker to predict the response to MET-targeted therapies in various cancers. However, the current standard methods to determine MET CN are SNP 6.0 in the genomic DNA of cancer cell lines and fluorescence in situ hybridization (FISH) in tumor models, respectively, which are costly and require advanced technical skills and result in relatively subjective judgments. Therefore, we employed a novel method, droplet digital PCR (ddPCR), to determine the MET gene copy number with high accuracy and precision.

methodsThe genomic DNA of cancer cell lines or tumor models were tested and compared with the MET gene CN and MET/CEN-7 ratio determined by SNP 6.0 and FISH, respectively.

resultsIn cell lines, the linear association of the MET CN detected by ddPCR and SNP 6.0 is strong (Pearson correlation = 0.867). In tumor models, the MET CN detected by ddPCR was significantly different between the MET gene amplification and non-amplification groups according to FISH (mean: 15.4 vs 2.1; P = 0.044). Given that MET gene amplification is defined as MET CN >5.5 by ddPCR, the concordance rate between ddPCR and FISH was 98.0%, and Cohen's kappa coefficient was 0.760 (95% CI, 0.498-1.000; P <0.001).

conclusionsThe results demonstrated that the ddPCR method has the potential to quantify the MET gene copy number with high precision and accuracy as compared with the results from SNP 6.0 and FISH in cancer cell lines and tumor samples, respectively.

Indexed as

DNA Copy Number VariationsBiomarkers, TumorCell Line, TumorGene AmplificationHumansIn Situ Hybridization, FluorescenceNeoplasmsPolymerase Chain ReactionPolymorphism, Single NucleotideProto-Oncogene Proteins c-metBiomarkers, TumorMET protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID26765781
PMCPMC4713204

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.