Evidence map›Paper›PMID 24338271›Full record

ArticleMedical oncology (Northwood, London, England)2014

Mutation abundance affects the efficacy of EGFR tyrosine kinase inhibitor readministration in non-small-cell lung cancer with acquired resistance.

Ze-Rui Zhao, Jin-Feng Wang, Yong-Bin Lin, Fang Wang, Sha Fu, Shu-Lin Zhang, Xiao-Dong Su, Long Jiang, Yi-Gong Zhang, Jian-Yong Shao and 1 more

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Observational
  7. Journal of thoracic disease · 2022
    Article
  8. PlasmaAnnals of translational medicine · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. [Detection and Clinical Significance of Abundance of EGFR Mutation].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Review
  15. 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

11 authors at 3 institutions in 1 country.

Ze-Rui ZhaoState Key Laboratory of Oncology in Southern China, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jin-Feng Wang
Yong-Bin Lin
Fang Wang
Sha Fu
Shu-Lin Zhang
Xiao-Dong Su
Long Jiang
Yi-Gong Zhang
Jian-Yong Shao
Hao Long
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no consensus in the salvage treatment for non-small-cell lung cancer (NSCLC) with acquired resistance to primary epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs). Fifty-one consecutive EGFR-mutated NSCLC patients with TKI retreatment after acquired resistance were enrolled in this study. The quantitation of mutation abundance was performed by real-time fluorescent quantitative PCR. The correlation between mutation abundance and outcomes of readministrated TKI was analyzed by survival analysis. Patients with high (H) mutation abundance (24/51) had a significantly (log-rank, P < 0.05) longer (5.27-2.53 months) median progression-free survival (PFS), compared with the low (L) abundance group (27/51), whereas the median overall survival showed no difference (21.00-18.20 months, log-rank P = .403) between the two groups. Objective response and disease control rates in group H and group L regarding the second round TKI treatment were 8.3, 70.8 and 0, 48.1 %, respectively. Groupings with different mutation abundances were significantly associated with PFS under multivariate Cox proportional hazards regression model [hazard ratio (HR) for group H vs. L, 0.527; P = .036]. Mutation abundance affects the efficacy of EGFR-TKIs readministration in NSCLC with acquired resistance. The quantitative mutation abundance of EGFR may be a potential predictor for selecting optimal patients to readministrate EGFR-TKIs after acquired resistance to primary TKI.

Indexed as

Drug Resistance, NeoplasmAdultAgedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDNA Mutational AnalysisErbB ReceptorsErlotinib HydrochlorideFemaleGefitinibHumansLung NeoplasmsMaleMiddle AgedMutationAntineoplastic AgentsErbB ReceptorsErlotinib HydrochlorideGefitinibProtein Kinase InhibitorsProtein-Tyrosine KinasesQuinazolines

Identifiers

PMID24338271
OpenAlexW2069338079

What OpenQuestion holds

Textmetadata
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.