Open Access

Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma

  • Authors:
    • Xiuzhi Zhou
    • Li Cai
    • Junjie Liu
    • Xiaomin Hua
    • Ying Zhang
    • Huilin Zhao
    • Bin Wang
    • Boqing Li
    • Pengzhou Gai
  • View Affiliations

  • Published online on: May 9, 2018     https://doi.org/10.3892/ol.2018.8681
  • Pages: 362-370
  • Copyright: © Zhou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Epidermal growth factor receptor (EGFR) is an important gene in the development of lung adenocarcinoma. However, there is controversy regarding the association between EGFR mutations and survival time of patients with lung adenocarcinoma. In the present study, tissue specimens and clinical data were collected from 219 patients with lung adenocarcinoma who had not undergone prior radiotherapy or chemotherapy. EGFR mutations were detected using a fluorescence polymerase chain reaction method, and the association between EGFR mutations and clinicopathological characteristics was analyzed. Overall survival (OS) curves were constructed using the Kaplan‑Meier method and the influence of clinicopathological characteristics on OS was analyzed using the Cox regression model. The EGFR mutation rate was 50.7%, and the most common mutations were the L858R substitution mutation in exon 21 (L858R; 54.9%) and the deletion mutation in exon 19 (19‑Del; 36%). The presence of EGFR mutations varied significantly with sex, smoking history, T stage, vascular invasion and adenocarcinoma subtypes (P<0.05). The survival time was significantly longer for female, young (<60 years‑old), non‑smokers or patients exhibiting EGFR mutations (G719X, 19‑Del, L858R and L861Q). The survival time was also significantly longer for patients with a 19‑Del mutation, early stage tumors, tyrosine kinase inhibitors targeted therapy‑treated patients, for those not exhibiting nerve or vascular invasion, and for those without disease recurrence (P<0.05). Multivariate analysis revealed that tumor pathological Tumor‑Node‑Metastasis (pTNM) stage, nerve invasion, vascular invasion, EGFR mutation and the 19‑Del mutation were independent predictors (P<0.05). Therefore, tumor pTNM stage, nerve invasion, vascular invasion and EGFR mutation status, particularly that of 19‑Del, were independent prognostic factors for patients with lung adenocarcinoma.
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July-2018
Volume 16 Issue 1

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Zhou X, Cai L, Liu J, Hua X, Zhang Y, Zhao H, Wang B, Li B and Gai P: Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma. Oncol Lett 16: 362-370, 2018
APA
Zhou, X., Cai, L., Liu, J., Hua, X., Zhang, Y., Zhao, H. ... Gai, P. (2018). Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma. Oncology Letters, 16, 362-370. https://doi.org/10.3892/ol.2018.8681
MLA
Zhou, X., Cai, L., Liu, J., Hua, X., Zhang, Y., Zhao, H., Wang, B., Li, B., Gai, P."Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma". Oncology Letters 16.1 (2018): 362-370.
Chicago
Zhou, X., Cai, L., Liu, J., Hua, X., Zhang, Y., Zhao, H., Wang, B., Li, B., Gai, P."Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma". Oncology Letters 16, no. 1 (2018): 362-370. https://doi.org/10.3892/ol.2018.8681