Literature DB >> 21129809

The usefulness of mutation-specific antibodies in detecting epidermal growth factor receptor mutations and in predicting response to tyrosine kinase inhibitor therapy in lung adenocarcinoma.

Yoshiki Kozu1, Koji Tsuta, Takashi Kohno, Ikuo Sekine, Akihiko Yoshida, Shunichi Watanabe, Tomohide Tamura, Jun Yokota, Kenji Suzuki, Hisao Asamura, Koh Furuta, Hitoshi Tsuda.   

Abstract

INTRODUCTION: Among the mutations of epidermal growth factor receptor (EGFR), deletions in exon 19 (DEL), and point mutations in exon 21 (L858R) predict the response to EGFR-tyrosine kinase inhibitors (TKIs) in primary lung adenocarcinoma. The ability to detecting such mutations using immunohistochemistry (IHC) would be advantageous.
METHODS: The molecular-based and IHC-based EGFR mutations were analyzed in 577 lung adenocarcinomas using high resolution melting analysis (HRMA) and 2 mutation-specific antibodies, respectively.
RESULTS: In the molecular-based analyses, DEL was detected in 135 cases (23%), and L858R was detected in 172 cases (30%). In the IHC-based analyses, a positive reaction was detected in 59 cases (10%) for the DEL-specific antibody, and in 139 cases (24%) for the L858R-specific antibody. With the molecular-based results set as the gold standard, the sensitivity and specificity of the DEL-specific antibody were 42.2% and 99.5%, respectively, while the sensitivity and specificity of the L858R-specific antibody were 75.6% and 97.8%, respectively. The antibody specificities improved when the threshold for the mutation-positive reactions was set as >50% of immunopositive tumor cells. The significant predictors of the clinical response to EGFR-TKI were molecular-based EGFR mutations (p<0.001) and IHC-based EGFR mutations (p=0.001). However, a multivariate analysis revealed that only molecular-based EGFR mutations were significantly correlated with the clinical response (p<0.001).
CONCLUSIONS: Mutation-specific antibodies demonstrated extremely high specificities, but their sensitivities were not higher than those of molecular-based analyses. However, IHC should be performed before a molecular-based analysis, because it is more cost-effective and can effectively select candidates for EGFR-TKI therapy.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21129809     DOI: 10.1016/j.lungcan.2010.11.003

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  27 in total

1.  Noninvasive characterization of the histopathologic features of pulmonary nodules of the lung adenocarcinoma spectrum using computer-aided nodule assessment and risk yield (CANARY)--a pilot study.

Authors:  Fabien Maldonado; Jennifer M Boland; Sushravya Raghunath; Marie Christine Aubry; Brian J Bartholmai; Mariza Deandrade; Thomas E Hartman; Ronald A Karwoski; Srinivasan Rajagopalan; Anne-Marie Sykes; Ping Yang; Eunhee S Yi; Richard A Robb; Tobias Peikert
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

2.  Detecting EGFR alterations in clinical specimens-pitfalls and necessities.

Authors:  Sofi Isaksson; Pär-Ola Bendahl; Annette Salomonsson; Mats Jönsson; Monica Haglund; Alexander Gaber; Karin Jirström; Per Jönsson; Ake Borg; Leif Johansson; Johan Staaf; Maria Planck
Journal:  Virchows Arch       Date:  2013-10-26       Impact factor: 4.064

3.  Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.

Authors:  Neal I Lindeman; Philip T Cagle; Mary Beth Beasley; Dhananjay Arun Chitale; Sanja Dacic; Giuseppe Giaccone; Robert Brian Jenkins; David J Kwiatkowski; Juan-Sebastian Saldivar; Jeremy Squire; Erik Thunnissen; Marc Ladanyi
Journal:  J Thorac Oncol       Date:  2013-07       Impact factor: 15.609

4.  Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.

Authors:  Neal I Lindeman; Philip T Cagle; Mary Beth Beasley; Dhananjay Arun Chitale; Sanja Dacic; Giuseppe Giaccone; Robert Brian Jenkins; David J Kwiatkowski; Juan-Sebastian Saldivar; Jeremy Squire; Erik Thunnissen; Marc Ladanyi
Journal:  Arch Pathol Lab Med       Date:  2013-04-03       Impact factor: 5.534

5.  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

6.  Molecular alterations of EGFR in small intestinal adenocarcinoma.

Authors:  Yan Wang; Cong-Qing Jiang; Jing Guan; Gui-Fang Yang; Jun-Qiu Yue; Hong-Lei Chen; Jing-Ling Xue; Zhi-Gao Xu; Qun Qian; Li-Fang Fan
Journal:  Int J Colorectal Dis       Date:  2013-05-04       Impact factor: 2.571

7.  The involvement of the laminin-integrin α7β1 signaling pathway in mechanical ventilation-induced pulmonary fibrosis.

Authors:  Han-Di Liao; Yong Mao; You-Guo Ying
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

8.  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

Review 9.  EGFR mutation testing in lung cancer: a review of available methods and their use for analysis of tumour tissue and cytology samples.

Authors:  Gillian Ellison; Guanshan Zhu; Alexandros Moulis; Simon Dearden; Georgina Speake; Rose McCormack
Journal:  J Clin Pathol       Date:  2012-11-21       Impact factor: 3.411

10.  Ascertaining an appropriate diagnostic algorithm using EGFR mutation-specific antibodies to detect EGFR status in non-small-cell lung cancer.

Authors:  Guiyang Jiang; Chuifeng Fan; Xiupeng Zhang; Qianze Dong; Liang Wang; Yang Liu; Shundong Dai; Lianhe Yang; Yong Zhang; Juanhan Yu; Enhua Wang
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

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