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Print ISSN: 1792-1074 Online ISSN: 1792-1082
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August-2014 Volume 8 Issue 2

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International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

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International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

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Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

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Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

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Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

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Article

Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression

  • Authors:
    • Qinshi Pan
    • Yumin Wang
    • Jie Chen
    • Gang Xu
    • Bicheng Chen
    • Jingye Pan
    • Kate Huang
  • View Affiliations / Copyright

    Affiliations: Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China, Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China, Department of Surgical Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China, Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China
  • Pages: 813-818
    |
    Published online on: May 19, 2014
       https://doi.org/10.3892/ol.2014.2160
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Abstract

The aim of the present study was to investigate the mutation rate of the epidermal growth factor receptor (EGFR) in non‑small cell lung cancer (NSCLC) patients and to apply logistic regression analysis to investigate the factors associated with EGFR gene mutation to provide data for the treatment of NSCLC. Paraffin tissue, bronchoscopy or pleural effusion specimens were collected from 176 NSCLC patients following pathological diagnosis. The EGFR gene exon 19 delL747‑S75linss and delL747‑S752ins deletion mutations, and the exon 20 T790M and exon 21 L858R mutations were identified using amplification refractory mutation system analysis. The clinical data and laboratory results of the patients were collected, and the total mutation rate of the EGFR gene in exons 19, 20 and 21 in the 176 NSCLC patients was found to be 48.3% (85/176). In addition, the EGFR gene mutation rate in adenocarcinoma was found to be significantly higher than that in squamous cell and large cell carcinoma (χ2=12.454; P=0.002). Furthermore, the mutation rate was found to be significantly higher in females than in males (χ2=13.78; P=0.001). The rate of exon 19 mutation was 21.0% (37/176), whereas the rate of exon 20 T90M mutation was 1.7% (3/176) and that of exon 21 L858R mutation was 29.0% (51/176). The logistic regression analysis revealed that the female gender, adenocarcinoma, distant metastasis and chemotherapy are factors associated with EGFR gene mutation (P<0.05). The female gender resulted in an increased incidence (2.438 times that of males) of EGFR mutation. Similarly, adenocarcinoma, distant metastasis and chemotherapy exhibited an increase in EGFR mutation risk (by 2.571, 2.810 and 0.367 times, respectively). The rate of EGFR mutation was high in the NSCLC patients, predominantly in exons 21 and 19. Therefore, these factors (female gender, adenocarcinoma, distant metastasis and chemotherapy) may increase the probability of EGFR gene mutations.
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Copy and paste a formatted citation
Spandidos Publications style
Pan Q, Wang Y, Chen J, Xu G, Chen B, Pan J and Huang K: Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression. Oncol Lett 8: 813-818, 2014.
APA
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., & Huang, K. (2014). Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression. Oncology Letters, 8, 813-818. https://doi.org/10.3892/ol.2014.2160
MLA
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., Huang, K."Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression". Oncology Letters 8.2 (2014): 813-818.
Chicago
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., Huang, K."Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression". Oncology Letters 8, no. 2 (2014): 813-818. https://doi.org/10.3892/ol.2014.2160
Copy and paste a formatted citation
x
Spandidos Publications style
Pan Q, Wang Y, Chen J, Xu G, Chen B, Pan J and Huang K: Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression. Oncol Lett 8: 813-818, 2014.
APA
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., & Huang, K. (2014). Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression. Oncology Letters, 8, 813-818. https://doi.org/10.3892/ol.2014.2160
MLA
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., Huang, K."Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression". Oncology Letters 8.2 (2014): 813-818.
Chicago
Pan, Q., Wang, Y., Chen, J., Xu, G., Chen, B., Pan, J., Huang, K."Investigation of the epidermal growth factor receptor mutation rate in non‑small cell lung cancer patients and the analysis of associated risk factors using logistic regression". Oncology Letters 8, no. 2 (2014): 813-818. https://doi.org/10.3892/ol.2014.2160
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