Evidence map›Paper›PMID 21859544›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2011

[Effect of rs2293347 Polymorphism in EGFR on the Clinical Efficacy of Gefitinib 
in Patients with Non-small Cell Lung Cancer].

Fei Ma, Binghe Xu, Dongxin Lin, Tong Sun, Yuankai Shi

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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

5 authors at 1 institution in 1 country.

Fei MaDepartment of Medical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing 100021, China. mafei2011@139.com
Binghe Xu
Dongxin Lin
Tong Sun
Yuankai Shi
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic variations of the epidermal growth factor receptor (EGFR) may alter the protein function and therapeutic efficacy of EGFR inhibitors. The aim of this study is to investigate the association between single nucleotide polymorphism rs2293347 in EGFR and the clinical outcome in patients with advanced non-small cell lung cancer (NSCLC) treated with gefitinib.

methodsA total of 88 advanced NSCLC patients treated with gefitinib were analyzed in the present study. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was conducted to analyze the genotype. The association study was performed between genotypes and clinical efficacy among 88 patients.

resultsrs2293347 was associated with the efficacy of gefitinib. The response rate for the rs2293347 GG was significantly higher than that for the GA or AA (71.4% vs 36.0%, P=0.002). rs2293347 GG genotype was also associated with longer progression-free survival compared with GA or AA genotype (10 months vs 3 months, P=0.005). No significant difference was shown on the overall survival (OS) (P=0.409).

conclusionsrs2293347 polymorphism in exon 25 is associated with the clinical efficacy of gefitinib and may be a potential biomarker to predict the clinical outcome in advanced NSCLC patients treated with gefitinib.

Indexed as

Polymorphism, Single NucleotideAdultAgedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGefitinibHumansLung NeoplasmsMaleMiddle AgedQuinazolinesTreatment OutcomeAntineoplastic AgentsErbB ReceptorsGefitinibQuinazolines

Identifiers

PMID21859544
PMCPMC5999630
OpenAlexW277550048

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.