Evidence map›Paper›PMID 28437026›Full record

Trial reportThoracic cancer2017

Analyzing epidermal growth factor receptor mutation status changes in advanced non-small-cell lung cancer at different sampling time-points of blood within one day.

Jin Wang, Hua Bai, Chaoyu Hong, Jie Wang, Tong-Hua Mei

Erratum issuedOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  8. Review
  9. Article
  10. Erratum.Thoracic cancer · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jin WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hua BaiDepartment of Medical Oncology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China.
Chaoyu HongDepartment of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie WangDepartment of Medical Oncology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China.
Tong-Hua MeiDepartment of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated whether different sampling time-points within one day would influence epidermal growth factor receptor mutation (EGFRm) status in plasma and evaluated the clinical outcomes according to the quantity analysis of EGFRm in circulating tumor DNA (ctDNA) in non-small-cell lung cancer (NSCLC).

methodsEGFR-tyrosine kinase inhibitor naïve advanced NSCLC patients who carried EGFRm in both tissues and ctDNA were enrolled in this study. Plasma samples were collected at three time-points within one day (at 8 am, 11 am and 2 pm) for EGFRm analysis by droplet digital PCR.

resultsTwenty-two advanced NSCLC patients were enrolled in the study. In a total of 66 blood specimens, the median EGFRm frequency was 7.13% (range 0-35.09%), and among them six specimens had less than 1.0% EGFRm frequency. Moreover, one time-point blood specimen did not display any EGFRm, even by droplet digital PCR. The frequency of EGFRm changed dynamically across different time-points within one day, but the differences were not significant (P = 0.557). We observed that patients with a relatively high frequency of EGFRm (>6.76%) had a better response to gefitinib (P = 0.024).

conclusionThe release of ctDNA maybe a temporal heterogenous process. The different sampling time-points within one day did not seem to influence EGFRm status in ctDNA. The relative EGFRm frequency in ctDNA could predict a benefit of EGFR-tyrosine kinase inhibitor treatment for advanced NSCLC patients.

Indexed as

MutationCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGefitinibHumansLung NeoplasmsMaleMutation RateNeoplasm StagingPolymerase Chain ReactionProtein Kinase InhibitorsQuinazolinesTreatment OutcomeEGFR protein, humanErbB ReceptorsGefitinibProtein Kinase InhibitorsQuinazolinesCirculating tumor DNAdroplet digital PCRepidermal growth factor receptorliquid biopsynon-small-cell lung cancer

Identifiers

PMID28437026
PMCPMC5494457
OpenAlexW2609390578

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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.