Literature DB >> 23287850

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.

Young Tae Kim1, Yong Won Seong, Yoo Jin Jung, Yoon Kyung Jeon, In Kyu Park, Chang Hyun Kang, Joo Hyun Kim.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23287850     DOI: 10.1097/JTO.0b013e318277a3bb

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  34 in total

1.  Biomarkers in the era of individualized medicine.

Authors:  Chang Hyun Kang
Journal:  J Thorac Dis       Date:  2017-06       Impact factor: 2.895

2.  Comment on prognostic value of epidermal growth factor receptor mutation subtypes in surgically resected non-small cell lung cancer.

Authors:  Yujin Kudo; Yoshihisa Shimada; Hisashi Saji; Norihiko Ikeda
Journal:  J Thorac Dis       Date:  2017-05       Impact factor: 2.895

3.  Clinicopathologic analysis of programmed cell death-1 and programmed cell death-ligand 1 and 2 expressions in pulmonary adenocarcinoma: comparison with histology and driver oncogenic alteration status.

Authors:  Jaemoon Koh; Heounjeong Go; Bhumsuk Keam; Moon-Young Kim; Soo Jeong Nam; Tae Min Kim; Se-Hoon Lee; Hye Sook Min; Young Tae Kim; Dong-Wan Kim; Yoon Kyung Jeon; Doo Hyun Chung
Journal:  Mod Pathol       Date:  2015-07-17       Impact factor: 7.842

4.  EGFR Mutation Testing of non-squamous NSCLC: Impact and Uptake during Implementation of Testing Guidelines in a Population-Based Registry Cohort from Northern New Zealand.

Authors:  Mark McKeage; Mark Elwood; Sandar Tin Tin; Prashannata Khwaounjoo; Phyu Aye; Angie Li; Karen Sheath; Phillip Shepherd; George Laking; Nicola Kingston; Christopher Lewis; Donald Love
Journal:  Target Oncol       Date:  2017-10       Impact factor: 4.493

5.  Sex-specific incidence of EGFR mutation and its association with age and obesity in lung adenocarcinomas: a retrospective analysis.

Authors:  Hye-Ryoun Kim; Seo Yun Kim; Cheol Hyeon Kim; Sung Hyun Yang; Jae Cheol Lee; Chang-Min Choi; Im Il Na
Journal:  J Cancer Res Clin Oncol       Date:  2017-07-08       Impact factor: 4.553

6.  Epidermal growth factor receptor mutations in lung adenocarcinoma: associations between dual-energy spectral CT measurements and histologic results.

Authors:  Guojin Zhang; Junlin Zhou; Yuntai Cao; Jing Zhang; Zhiyong Zhao; Wenjuan Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2020-09-26       Impact factor: 4.553

7.  EML4-ALK enhances programmed cell death-ligand 1 expression in pulmonary adenocarcinoma via hypoxia-inducible factor (HIF)-1α and STAT3.

Authors:  Jaemoon Koh; Ji-Young Jang; Bhumsuk Keam; Sehui Kim; Moon-Young Kim; Heounjeong Go; Tae Min Kim; Dong-Wan Kim; Chul-Woo Kim; Yoon Kyung Jeon; Doo Hyun Chung
Journal:  Oncoimmunology       Date:  2015-10-29       Impact factor: 8.110

8.  EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII).

Authors:  Anita Midha; Simon Dearden; Rose McCormack
Journal:  Am J Cancer Res       Date:  2015-08-15       Impact factor: 6.166

9.  Aberrant large tumor suppressor 2 (LATS2) gene expression correlates with EGFR mutation and survival in lung adenocarcinomas.

Authors:  Susan Y Luo; Ko-Yung Sit; Alan D L Sihoe; Wai-Sing Suen; Wing-Kuk Au; Ximing Tang; Edmond S K Ma; Wai-Kong Chan; Ignacio I Wistuba; John D Minna; George S W Tsao; David C L Lam
Journal:  Lung Cancer       Date:  2014-06-16       Impact factor: 5.705

10.  Factors predicting the surgical outcome in patients with T3/4 lung cancer.

Authors:  Hidetaka Uramoto; Hidehiko Shimokawa; Takeshi Hanagiri; Yoshinobu Ichiki; Fumihiro Tanaka
Journal:  Surg Today       Date:  2014-02-16       Impact factor: 2.549

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.