Literature DB >> 25499173

Survival outcome assessed according to tumor burden and progression patterns in patients with epidermal growth factor receptor mutant lung adenocarcinoma undergoing epidermal growth factor receptor tyrosine kinase inhibitor therapy.

Yoon Ki Cha1, Ho Yun Lee2, Myung-Ju Ahn3, Yoon-La Choi4, Ji Hyun Lee1, Keunchil Park3, Kyung Soo Lee1.   

Abstract

BACKGROUND: Mutations in the epidermal growth factor receptor (EGFR) have been associated with a marked therapeutic response to EGFR-tyrosine kinase inhibitors (TKIs) in patients with advanced non-small-cell lung cancer (NSCLC). However, the clinical predictors of the survival benefit of EGFR-TKI therapy for NSCLC with EGFR-activating mutations have not been well elucidated. Therefore, the present study evaluated the clinical predictors of survival outcome in patients with EGFR-mutant NSCLC who had been treated with EGFR-TKIs.
MATERIAL AND METHODS: The data from 224 patients with EGFR-mutant lung adenocarcinoma treated with EGFR-TKIs were retrospectively reviewed. The treatment outcomes were evaluated according to the clinical factors, number of metastasis sites, and progression patterns.
RESULTS: The clinical factors associated with reduced progression-free survival (PFS) and overall survival (OS) on univariate analysis were Eastern Cooperative Oncology Group (ECOG) performance status (PS) ≥ 2, intra- and extrathoracic metastasis, extrathoracic metastasis, a high number of metastatic sites, metastasis to the liver or adrenal gland at baseline, and rapid progression at the diagnosis of progressive disease (PD). On multivariate analysis, the factors that remained significantly associated with a shorter PFS were ECOG PS ≥ 2 (odds ratio [OR], 2.189; 95% confidence interval [CI], 1.374-3.437; P < .001) and rapid tumor progression at PD (OR, 1.800; 95% CI, 1.059-3.058; P = .030).
CONCLUSION: Thus, the tumor burden, expressed as the number of metastatic sites at EGFR-TKI treatment, and rapid tumor progression at PD were predictive of inferior survival in patients with lung adenocarcinoma with activating EGFR mutations.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Epidermal growth factor receptor; Non–small-cell lung cancer; Predictor; Tumor burden; Tyrosine kinase inhibitor

Mesh:

Substances:

Year:  2014        PMID: 25499173     DOI: 10.1016/j.cllc.2014.11.002

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  14 in total

1.  Cost-Effectiveness Analysis of Afatinib, Erlotinib, and Gefitinib as First-Line Treatments for EGFR Mutation-Positive Non-Small-Cell Lung Cancer in Ontario, Canada.

Authors:  Yong-Jin Kim; Mark Oremus; Helen H Chen; Thomas McFarlane; Danielle Fearon; Susan Horton
Journal:  Pharmacoeconomics       Date:  2021-03-31       Impact factor: 4.981

2.  The impact of smoking status on radiologic tumor progression patterns and response to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors in lung adenocarcinoma with activating EGFR mutations.

Authors:  Yoon Ki Cha; Ho Yun Lee; Myung-Ju Ahn; Keunchil Park; Jin Seok Ahn; Jong-Mu Sun; Yoon-La Choi; Kyung Soo Lee
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

3.  Depression and inflammation among epidermal growth factor receptor (EGFR) mutant nonsmall cell lung cancer patients.

Authors:  Daniel C McFarland; Devika R Jutagir; Barry Rosenfeld; William Pirl; Andrew H Miller; William Breitbart; Christian Nelson
Journal:  Psychooncology       Date:  2019-05-15       Impact factor: 3.894

4.  Dynamic monitoring of EGFR mutations in circulating cell-free DNA for EGFR-mutant metastatic patients with lung cancer: Early detection of drug resistance and prognostic significance.

Authors:  Jianjiao Ni; Linqian Weng; Yi Liu; Zhao Sun; Chunmei Bai; Yingyi Wang
Journal:  Oncol Lett       Date:  2017-04-11       Impact factor: 2.967

5.  Primary lesion radiotherapy during first-line icotinib treatment in EGFR-mutated NSCLC patients with multiple metastases and no brain metastases: a single-center retrospective study.

Authors:  Rui Deng; Jinkun Liu; Tongjun Song; Tao Xu; Yong Li; Long Duo; Longchao Xiang; Xiongjie Yu; Jinhua Lei; Fengjun Cao
Journal:  Strahlenther Onkol       Date:  2022-07-12       Impact factor: 4.033

6.  Characteristics of progression to tyrosine kinase inhibitors predict overall survival in patients with advanced non-small cell lung cancer harboring an EGFR mutation.

Authors:  Feliciano Barrón; Andrés F Cardona; Luis Corrales; Laura-Alejandra Ramirez-Tirado; Enrique Caballe-Perez; Gisela Sanchez; Diana Flores-Estrada; Zyanya Lucia Zatarain-Barrón; Oscar Arrieta
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

7.  Prognosis of EGFR-mutant advanced lung adenocarcinoma patients with different intrathoracic metastatic patterns.

Authors:  Fang Hu; Bo Zhang; Changhui Li; Jianlin Xu; Huimin Wang; Ping Gu; Xiaoxuan Zheng; Wei Nie; Yinchen Shen; Hai Zhang; Ping Hu; Xueyan Zhang
Journal:  J Cancer       Date:  2019-01-29       Impact factor: 4.207

8.  The prognostic value of tumor mutation burden in EGFR-mutant advanced lung adenocarcinoma, an analysis based on cBioPortal data base.

Authors:  Xiao-Dong Jiao; Xi He; Bao-Dong Qin; Ke Liu; Ying Wu; Jun Liu; Ting Hou; Yuan-Sheng Zang
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

9.  A Survival Scoring System for Non-Small Cell Lung Cancer Patients with De Novo Bone Metastases.

Authors:  Yu-Mu Chen; Ying-Tang Fang; Chien-Hao Lai; Kun-Ming Rau; Cheng-Hua Huang; Huang-Chih Chang; Tung-Ying Chao; Chia-Cheng Tseng; Wen-Feng Fang; Chin-Chou Wang; Yung-Che Chen; Yu-Hsiu Chung; Yi-Hsi Wang; Mao-Chang Su; Shih-Feng Liu; Kuo-Tung Huang; Hung-Chen Chen; Ya-Chun Chang; Yu-Ping Chang; Meng-Chih Lin
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

10.  Survival-associated factors of first-line EGFR-tyrosine kinase inhibitor responders and non-responders in lung adenocarcinoma patients with common EGFR mutations.

Authors:  Ming-Szu Hung; Yu-Hung Fang; Yu-Ching Lin; Jr-Hau Lung; Meng-Jer Hsieh; Ying-Huang Tsai
Journal:  Mol Clin Oncol       Date:  2018-01-10
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