Evidence map›Paper›PMID 27519791›Full record

Trial reportBMC cancer2016

PNA clamping-assisted fluorescence melting curve analysis for detecting EGFR and KRAS mutations in the circulating tumor DNA of patients with advanced non-small cell lung cancer.

Ji-Youn Han, Jae-Jin Choi, Jin Young Kim, You Lim Han, Geon Kook Lee

Erratum issued Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase IIRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT01003964 (Randomized phase2 Study of IP vs. GP as the First-line Therapy Followed by Two Different Sequences as the 2nd or 3rd-line Therapy for Patients With Advanced NSCLC;), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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.

NCT01003964 phase2completednot on this map

Randomized phase2 Study of IP vs. GP as the First-line Therapy Followed by Two Different Sequences as the 2nd or 3rd-line Therapy for Patients With Advanced NSCLC;

TypeinterventionalSponsorNational Cancer Center, KoreaRan2009 to 2015Enrolled289ConditionsNon Small Cell Lung CancerArmsIP, GP
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Detection ofFrontiers in oncology · 2023
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. A prospective phase 2 study of expeditiousTranslational lung cancer research · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Evaluation of TwoCancers · 2020
    Article
  18. Nanotechnology Strategies for the Analysis of Circulating Tumor DNA: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Ji-Youn HanLung Cancer Branch, Research Institute, National Cancer Center, Goyang, Korea. jymama@ncc.re.kr.ORCID 0000-0001-5033-0006
Jae-Jin ChoiPANAGENE Inc., Daejeon, Korea.
Jin Young KimLung Cancer Branch, Research Institute, National Cancer Center, Goyang, Korea.
You Lim HanLung Cancer Branch, Research Institute, National Cancer Center, Goyang, Korea.
Geon Kook LeeLung Cancer Branch, Research Institute, National Cancer Center, Goyang, Korea.
National Cancer Center · KRNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating cell-free DNA (cfDNA) is emerging as a surrogate sample type for mutation analyses. To improve the clinical utility of cfDNA, we developed a sensitive peptide nucleic acid (PNA)-based method for analyzing EGFR and KRAS mutations in the plasma cfDNA of patients with advanced non-small cell lung cancer (NSCLC).

methodsBaseline tissue and plasma samples were collected from treatment-naïve advanced NSCLC patients participated in a randomized phase II study, which was registered with ClinicalTrials.gov at Feb. 2009 (NCT01003964). EGFR and KRAS mutations in the plasma cfDNA were analyzed retrospectively using a PNA clamping-assisted fluorescence melting curve analysis. The results were compared with those obtained from tissue analysis performed using the direct sequencing. Exploratory analyses were performed to determine survival predicted by the plasma and tissue mutation status.

resultsMutation analyses in matched tissue and plasma samples were available for 194 patients for EGFR and 135 patients for KRAS. The mutation concordance rates were 82.0 % (95 % confidence interval [CI], 76.5-87.4) for EGFR and 85.9 % (95 % CI, 80.1-91.8) for KRAS. The plasma EGFR mutation test sensitivity and specificity were 66.7 % (95 % CI, 60.0-73.3) and 87.4 % (95 % CI, 82.7-92.1), respectively, and the plasma KRAS mutation test sensitivity and specificity were 50.0 % (95 % CI, 41.6-58.4) and 89.4 % (95 % CI, 84.2-94.6), respectively. The predictive value of the plasma EGFR and KRAS mutation status with respect to survival was comparable with that of the tissue mutation status.

conclusionsThese data suggest that plasma EGFR and KRAS mutations can be analyzed using PNA-based real-time PCR methods and used as an alternative to tumor genotyping for NSCLC patients when tumor tissue is not available.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungDNADNA Mutational AnalysisErbB ReceptorsFemaleFluorescenceHumansLung NeoplasmsMaleMiddle AgedProto-Oncogene Proteins p21(ras)Retrospective StudiesDNAEGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)EGFRKRASNSCLCPlasmaTissue

Identifiers

PMID27519791
PMCPMC4983013
OpenAlexW4253291858

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.