Literature DB >> 21892099

Association of the expression of mutant epidermal growth factor receptor protein as determined with mutation-specific antibodies in non-small cell lung cancer with progression-free survival after gefitinib treatment.

Koichi Azuma1, Isamu Okamoto, Akihiko Kawahara, Tomoki Taira, Kazutaka Nakashima, Satoshi Hattori, Takashi Kinoshita, Masayuki Takeda, Kazuhiko Nakagawa, Shinzo Takamori, Michihiko Kuwano, Mayumi Ono, Masayoshi Kage.   

Abstract

INTRODUCTION: Somatic mutations in the epidermal growth factor receptor (EGFR) gene are associated with an increased response to EGFR tyrosine kinase inhibitors (TKIs) such as gefitinib in patients with non-small cell lung cancer (NSCLC). Although most NSCLC patients with EGFR mutations benefit from EGFR-TKI treatment, the efficacy of such treatment varies among individuals. Molecular markers for prediction of EGFR-TKI treatment efficacy in EGFR mutation-positive NSCLC have not been well defined.
METHODS: The expression of mutant EGFR proteins was quantitated by immunohistochemical analysis with mutation-specific antibodies in tumor specimens from 47 NSCLC patients with postoperative recurrent disease who harbored activating EGFR mutations. The expression score was determined from both the staining intensity and the proportion of tumor tissue expressing the mutant EGFR.
RESULTS: The median progression-free survival after the start of gefitinib treatment was significantly longer in patients with a high score for mutant EGFR expression than in those with a low score (12.2 versus 3.4 months, p < 0.001), whereas no significant difference in median overall survival was apparent between the two groups (24.9 versus 17.7 months, respectively, p = 0.144). This association between the expression score for mutant EGFR and progression-free survival was apparent both in patients with deletions in exon 19 of EGFR and in those with the L858R mutation in exon 21.
CONCLUSIONS: Quantitative analysis of mutant EGFR expression by immunohistochemical analysis with mutation-specific antibodies may predict the efficacy of gefitinib treatment for EGFR mutation-positive NSCLC.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 21892099     DOI: 10.1097/JTO.0b013e31822eeba2

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


  16 in total

1.  The use of mutation-specific antibodies in predicting the effect of EGFR-TKIs in patients with non-small-cell lung cancer.

Authors:  Jingya Zhao; Xiaoying Wang; Liang Xue; Nuo Xu; Xin Ye; Haiying Zeng; Shaohua Lu; Jie Huang; Sujie Akesu; Chen Xu; Deming He; Yunshan Tan; Qunying Hong; Qun Wang; Guanshan Zhu; Yingyong Hou; Xin Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2014-02-22       Impact factor: 4.553

2.  A comparison of ARMS and mutation specific IHC for common activating EGFR mutations analysis in small biopsy and cytology specimens of advanced non small cell lung cancer.

Authors:  Xueqing Wang; Guoqing Wang; Yueyue Hao; Yinhong Xu; Lihua Zhang
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

3.  Mutation abundance affects the efficacy of EGFR tyrosine kinase inhibitor readministration in non-small-cell lung cancer with acquired resistance.

Authors:  Ze-Rui Zhao; Jin-Feng Wang; Yong-Bin Lin; Fang Wang; Sha Fu; Shu-Lin Zhang; Xiao-Dong Su; Long Jiang; Yi-Gong Zhang; Jian-Yong Shao; Hao Long
Journal:  Med Oncol       Date:  2013-12-14       Impact factor: 3.064

4.  Molecular signatures of lung cancer: defining new diagnostic and therapeutic paradigms.

Authors:  Justin M Balko; Carlos L Arteaga
Journal:  Mol Diagn Ther       Date:  2012-02-01       Impact factor: 4.074

5.  Heterogeneity of EGFR Aberrations and Correlation with Histological Structures: Analyses of Therapy-Naive Isogenic Lung Cancer Lesions with EGFR Mutation.

Authors:  Kenichi Suda; Isao Murakami; Hui Yu; Kim Ellison; Masaki Shimoji; Carlo Genova; Christopher J Rivard; Tetsuya Mitsudomi; Fred R Hirsch
Journal:  J Thorac Oncol       Date:  2016-05-31       Impact factor: 15.609

6.  Immunohistochemistry with a novel mutation-specific monoclonal antibody as a screening tool for the EGFR L858R mutational status in primary lung adenocarcinoma.

Authors:  Wei Ping; Chunjiao Xia; Shengling Fu; Yixin Cai; Yu Deng; Wei Sun; Cuiping Dong; Xiangning Fu
Journal:  Tumour Biol       Date:  2014-10-07

7.  Solid predominant histology predicts EGFR tyrosine kinase inhibitor response in patients with EGFR mutation-positive lung adenocarcinoma.

Authors:  Tatsuya Yoshida; Genichiro Ishii; Koichi Goto; Kiyotaka Yoh; Seiji Niho; Shigeki Umemura; Shingo Matsumoto; Hironobu Ohmatsu; Kanji Nagai; Yuichiro Ohe; Atsushi Ochiai
Journal:  J Cancer Res Clin Oncol       Date:  2013-08-22       Impact factor: 4.553

8.  Comparison of next-generation sequencing and immunohistochemistry analysis for targeted therapy-related genomic status in lung cancer patients.

Authors:  Lin Nong; Zhenzhen Zhang; Yan Xiong; Yalin Zheng; Xin Li; Dong Li; Qiye He; Ting Li
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

9.  Newton, laplace, and the epistemology of systems biology.

Authors:  Michael L Bittner; Edward R Dougherty
Journal:  Cancer Inform       Date:  2012-10-30

10.  A comparison of EGFR mutation testing methods in lung carcinoma: direct sequencing, real-time PCR and immunohistochemistry.

Authors:  Bárbara Angulo; Esther Conde; Ana Suárez-Gauthier; Carlos Plaza; Rebeca Martínez; Pilar Redondo; Elisa Izquierdo; Belén Rubio-Viqueira; Luis Paz-Ares; Manuel Hidalgo; Fernando López-Ríos
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.