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Journal of Thoracic Oncology
Article
License: Elsevier Non-Commercial
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Journal of Thoracic Oncology
Article . 2013
License: Elsevier Non-Commercial
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Journal of Thoracic Oncology
Article . 2013 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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The Presence of Mutations in Epidermal Growth Factor Receptor Gene Is Not a Prognostic Factor for Long-Term Outcome after Surgical Resection of Non–Small-Cell Lung Cancer

Authors: Kim, Young Tae; Seong, Yong Won; Jung, Yoo Jin; Jeon, Yoon Kyung; Park, In Kyu; Kang, Chang Hyun; Kim, Joo Hyun;

The Presence of Mutations in Epidermal Growth Factor Receptor Gene Is Not a Prognostic Factor for Long-Term Outcome after Surgical Resection of Non–Small-Cell Lung Cancer

Abstract

The presence of mutation in EGFR gene is known as a predictive marker for the response to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) treatment. However, whether or not these EGFR mutations are prognostic factors for non-small-cell lung cancer (NSCLC) is debatable.We retrospectively collected a series of samples from patients whose EGFR mutation status had been tested, and analyzed their survival. The pathologic cell types of 863 patients (520 men, 343 women) were squamous cell carcinoma in 227, adenocarcinoma in 636 patients.EGFR mutations were detected in 354 patients and it was frequently observed in adenocarcinoma in younger, early-stage, female never-smokers. In univariate analysis of younger, early-stage, never-smoker women, bronchioloalveolar carcinoma pattern and the presence of EGFR mutation showed better long-term survival. However, in multivariate analysis, age, pathologic stage, and smoking status remained significant prognostic factors, whereas EGFR mutation was not. For recurrence, pathologic stage was the only independent prognostic factor. After recurrence, smoking status was the only significant risk factor that affected postrecurrence survival. However, when EGFR TKIs were used in EGFR-mutated patients, survival was longer than for those treated with conventional chemotherapy.Although the EGFR mutation is a predictive marker for EGFR TKI response, it is not a prognostic factor in NSCLC. The clinical observation that patients with EGFR mutation seem to survive longer may be because EGFR mutation is more frequently associated with other good prognostic factors. Once there is a recurrence, administration of EGFR TKI for patients with EGFR mutation may increase survival.

Keywords

Pulmonary and Respiratory Medicine, Adult, Male, Lung Neoplasms, Outcomes, Adenocarcinoma, Carcinoma, Non-Small-Cell Lung, Genetics, Humans, Biology, Aged, Neoplasm Staging, Retrospective Studies, Aged, 80 and over, Adenocarcinoma, Bronchiolo-Alveolar, Middle Aged, Prognosis, ErbB Receptors, Survival Rate, Oncology, Tumor markers, Mutation, Carcinoma, Squamous Cell, Female, Lung cancer, Neoplasm Recurrence, Local, Follow-Up Studies

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    85
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 10%
Top 10%
Top 10%
hybrid
Related to Research communities
Cancer Research