Evidence map›Paper›PMID 27437777›Full record

ArticleOncotarget2016

Effect of epidermal growth factor receptor gene polymorphisms on prognosis in glioma patients.

Bin Li, Wenhui Zhao, Jingjie Li, Mengdan Yan, Zhilan Xie, Yuanyuan Zhu, Chao Chen, Tianbo Jin

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. The impact ofGland surgery · 2020
    Article
  4. The Impact of EGFR Gene Polymorphisms on the Risk of Alzheimer's Disease in a Chinese Han Population: A Case-Controlled Study.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Bin LiSchool of Life Sciences, Northwest University, Xi'an, Shaanxi, 710069, China.
Wenhui ZhaoDepartment of Anesthesiology, Shaanxi Provincial Tumor Hospital, Xi'an, Shaanxi, 710061, China.
Jingjie LiSchool of Life Sciences, Northwest University, Xi'an, Shaanxi, 710069, China.
Mengdan YanSchool of Life Sciences, Northwest University, Xi'an, Shaanxi, 710069, China.
Zhilan XieNational Engineering Research Center for Miniaturized Detection Systems, Xi'an, Shaanxi, 710069, China.
Yuanyuan ZhuNational Engineering Research Center for Miniaturized Detection Systems, Xi'an, Shaanxi, 710069, China.
Chao ChenSchool of Life Sciences, Northwest University, Xi'an, Shaanxi, 710069, China.
Tianbo JinSchool of Life Sciences, Northwest University, Xi'an, Shaanxi, 710069, China.
Northwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggested that single nucleotide polymorphisms (SNPs) in epidermal growth factor receptor (EGFR) are associated with risk of glioma. However, the associations between these SNPs and glioma patient prognosis have not yet been fully investigated. Therefore, the present study was aimed to evaluate the effects of EGFR polymorphisms on the glioma patient prognosis. We retrospectively evaluated 269 glioma patients and investigated associations between EGFR SNPs and patient prognosis using Cox proportional hazard models and Kaplan-Meier curves. Univariate analysis revealed that age, gross-total resection and chemotherapy were associated with the prognosis of glioma patients (p < 0.05). In addition, four EGFR SNPs (rs11506105, rs3752651, rs1468727 and rs845552) correlated with overall survival (OS) (Log-rank p = 0.011, 0.020, 0.008, and 0.009, respectively) and progression-free survival PFS (Log-rank p = 0.026, 0.024, 0.019 and 0.009, respectively). Multivariate analysis indicated that the rs11506105 G/G genotype, the rs3752651 and rs1468727 C/C genotype and the rs845552 A/A genotype correlated inversely with OS and PFS. In addition, OS among patients with the rs730437 C/C genotype (p = 0.030) was significantly lower OS than among patients with A/A genotype. These data suggest that five EGFR SNPs (rs11506105, rs3752651, rs1468727, rs845552 and rs730437) correlated with glioma patient prognosis, and should be furthered validated in studies of ethnically diverse patients.

Indexed as

Polymorphism, Single NucleotideAdultBrain NeoplasmsChinaDisease-Free SurvivalErbB ReceptorsFemaleGenotypeGliomaHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPrognosisRetrospective StudiesEGFR protein, humanErbB ReceptorsEGFRgliomapolymorphismprognosis

Identifiers

PMID27437777
PMCPMC5325346
OpenAlexW2482645863

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.