Clinical Research Papers:

A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population

Mengdan Yan, Jingjie Li, Na He, Xugang Shi, Shuli Du, Bin Li _ and Tianbo Jin

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Oncotarget. 2017; 8:59823-59830. https://doi.org/10.18632/oncotarget.16946

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Mengdan Yan1,2, Jingjie Li1,2, Na He1,2, Xugang Shi2, Shuli Du2, Bin Li1,2,3 and Tianbo Jin1,2

1 Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education, Xi’an, China

2 Xi’an Tiangen Precision Medical Research Institute, Xi’an, China

3 Department of Neurosurgery, Xi’an First Hospital, Xi’an, China

Correspondence to:

Bin Li, email:

Tianbo Jin, email:

Keywords: glioma, EGFR gene, tag single nucleotide polymorphism, case-control study

Received: July 13, 2016 Accepted: December 07, 2016 Published: April 07, 2017


The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 cancer-free controls in which captured a total of 8 tag single nucleotide polymorphisms of EGFR gene from Xi’an, China. SPSS 19.0 statistical packages, χ2 test, genetic model analysis and SHEsis software platform were analyzed s the variants in EGFR gene associations with glioma risk. For five different inheritance models analyzed, the following genotypes were associated with increased glioma risk. In the codominant model, genotype CC (rs730437, OR = 1.93, p = 0.024; rs1468727, OR = 2.02, p = 0.007); In the dominant model, genotype CA and CC (rs730437, OR = 1.45, p = 0.026), genotype GA and AA (rs845552, OR = 1.40, p = 0.044); In the recessive model, genotype CC (rs730437, OR = 1.64, p = 0.026; rs1468727, OR = 1.87, p = 0.002); In the additive model, genotype CC (rs730437, OR = 1.32, p = 0.006; rs1468727, OR = 1.39, p = 0.005), genotype GG (rs11506105, OR = 1.32, p = 0.02) and genotype AA (rs845552, OR = 1.27, p = 0.04). Our study indicated that 8 mutants located in EGFR gene were risk-conferring factors, larger and different populations with EGFR polymorphisms are required to verify these associations.

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