Literature DB >> 21722621

Standardization of epidermal growth factor receptor (EGFR) measurement by quantitative immunofluorescence and impact on antibody-based mutation detection in non-small cell lung cancer.

Anastasios Dimou1, Seema Agarwal, Valsamo Anagnostou, Hollis Viray, Stephen Christensen, Bonnie Gould Rothberg, Vassiliki Zolota, Konstantinos Syrigos, David L Rimm.   

Abstract

Challenges in measurement of epidermal growth factor receptor (EGFR) protein expression have led to conflicting data on its prognostic value and discontinuation of its use for prediction of response. Herein is described a quantitative standardized assay for EGFR and its use in a series of retrospective cohorts of patients with non-small cell lung cancer (NSCLC). The AQUA technology of quantitative immunofluorescence was used in conjunction with Western blot analysis to calculate the absolute concentration of EGFR in two independent NSCLC cohorts (170 from Yale New Haven Hospital and 335 from Sotiria and Patras Hospitals in Greece). EGFR and mutated EGFR were measured using D38B1 antibody and two mutation-specific antibodies. All patients positive or borderline for mutation-specific antibody were genotyped. A threshold for reproducible detection of EGFR was defined as 0.85 ng/μg total protein. EGFR expression demonstrated no prognostic value in either cohort. The mutation rate was 1.79% in the Yale cohort, and 1.52% in the Sotiria/Patras cohort, with no antibody detection-based false-positive cases. No mutations were detected for EGFR concentrations <1.46 ng/μg total protein. In summary, accurate measurement of EGFR still shows no prognostic value in NSCLC. In these two population-based cohorts, the antibody-based EGFR mutation rate was lower than has been frequently reported.
Copyright © 2011 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21722621      PMCID: PMC3157192          DOI: 10.1016/j.ajpath.2011.04.031

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  42 in total

Review 1.  Update on epidermal growth factor receptor mutations in non-small cell lung cancer.

Authors:  Gregory J Riely; Katerina A Politi; Vincent A Miller; William Pao
Journal:  Clin Cancer Res       Date:  2006-12-15       Impact factor: 12.531

2.  Automated quantitative analysis (AQUA) of in situ protein expression, antibody concentration, and prognosis.

Authors:  Anthony McCabe; Marisa Dolled-Filhart; Robert L Camp; David L Rimm
Journal:  J Natl Cancer Inst       Date:  2005-12-21       Impact factor: 13.506

3.  Mutations in the epidermal growth factor receptor and in KRAS are predictive and prognostic indicators in patients with non-small-cell lung cancer treated with chemotherapy alone and in combination with erlotinib.

Authors:  David A Eberhard; Bruce E Johnson; Lukas C Amler; Audrey D Goddard; Sherry L Heldens; Roy S Herbst; William L Ince; Pasi A Jänne; Thomas Januario; David H Johnson; Pam Klein; Vincent A Miller; Michael A Ostland; David A Ramies; Dragan Sebisanovic; Jeremy A Stinson; Yu R Zhang; Somasekar Seshagiri; Kenneth J Hillan
Journal:  J Clin Oncol       Date:  2005-07-25       Impact factor: 44.544

4.  Clinicopathologic characteristics of the EGFR gene mutation in non-small cell lung cancer.

Authors:  Anne S Tsao; Xi Ming Tang; Bradley Sabloff; Lianchun Xiao; Hisayuki Shigematsu; Jack Roth; Margaret Spitz; Waun Ki Hong; Adi Gazdar; Ignacio Wistuba
Journal:  J Thorac Oncol       Date:  2006-03       Impact factor: 15.609

5.  ERCC1 and RRM1 gene expressions but not EGFR are predictive of shorter survival in advanced non-small-cell lung cancer treated with cisplatin and gemcitabine.

Authors:  P Ceppi; M Volante; S Novello; I Rapa; K D Danenberg; P V Danenberg; A Cambieri; G Selvaggi; S Saviozzi; R Calogero; M Papotti; G V Scagliotti
Journal:  Ann Oncol       Date:  2006-09-15       Impact factor: 32.976

6.  Gefitinib monotherapy in advanced nonsmall cell lung cancer: a large Western community implementation study.

Authors:  R van Puijenbroek; L Bosquée; A-P Meert; D Schallier; J-C Goeminne; G Tits; P Collard; K Nackaerts; J-L Canon; F Duplaquet; D Galdermans; P Germonpré; M-A Azerad; G Vandenhoven; J De Greve; J Vansteenkiste
Journal:  Eur Respir J       Date:  2006-09-27       Impact factor: 16.671

7.  Molecular predictors of outcome with gefitinib in a phase III placebo-controlled study in advanced non-small-cell lung cancer.

Authors:  Fred R Hirsch; Marileila Varella-Garcia; Paul A Bunn; Wilbur A Franklin; Rafal Dziadziuszko; Nick Thatcher; Alex Chang; Purvish Parikh; José Rodrigues Pereira; Tudor Ciuleanu; Joachim von Pawel; Claire Watkins; Angela Flannery; Gillian Ellison; Emma Donald; Lucy Knight; Dinah Parums; Nicholas Botwood; Brian Holloway
Journal:  J Clin Oncol       Date:  2006-11-01       Impact factor: 44.544

8.  The use of EGFR exon 19 and 21 unlabeled DNA probes to screen for activating mutations in non-small cell lung cancer.

Authors:  Carlynn Willmore-Payne; Joseph A Holden; Carl T Wittwer; Lester J Layfield
Journal:  J Biomol Tech       Date:  2008-07

9.  Epidermal growth factor receptor (EGFR) high gene copy number and activating mutations in lung adenocarcinomas are not consistently accompanied by positivity for EGFR protein by standard immunohistochemistry.

Authors:  Ferenc Pinter; Judit Papay; Andrea Almasi; Zoltan Sapi; Edit Szabo; Melinda Kanya; Anna Tamasi; Balazs Jori; Edit Varkondi; Judit Moldvay; Klara Szondy; Gyorgy Keri; Massimo Dominici; Pierfranco Conte; Sandor Eckhardt; Laszlo Kopper; Richard Schwab; Istvan Petak
Journal:  J Mol Diagn       Date:  2008-02-07       Impact factor: 5.568

10.  Novel heteroduplex method using small cytology specimens with a remarkably high success rate for analysing EGFR gene mutations with a significant correlation to gefitinib efficacy in non-small-cell lung cancer.

Authors:  F Oshita; S Matsukuma; M Yoshihara; Y Sakuma; N Ohgane; Y Kameda; H Saito; K Yamada; E Tsuchiya; Y Miyagi
Journal:  Br J Cancer       Date:  2006-10-23       Impact factor: 7.640

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  15 in total

1.  Relationship between uptake of a radioiodinated quinazoline derivative and radiosensitivity in non-small cell lung cancer.

Authors:  Hui-Jun Zhu; Mikako Ogawa; Yasuhiro Magata; Masahiko Hirata; Yoshiro Ohmomo; Harumi Sakahara
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-06-07

2.  Annotation of human cancers with EGFR signaling-associated protein complexes using proximity ligation assays.

Authors:  Matthew A Smith; Richard Hall; Kate Fisher; Scott M Haake; Farah Khalil; Matthew B Schabath; Vincent Vuaroqueaux; Heinz-Herbert Fiebig; Soner Altiok; Yian Ann Chen; Eric B Haura
Journal:  Sci Signal       Date:  2015-01-13       Impact factor: 8.192

3.  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
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Review 4.  Novel neoadjuvant therapy paradigms for bladder cancer: results from the National Cancer Center Institute Forum.

Authors:  Colin P N Dinney; Donna Hansel; David McConkey; William Shipley; Michael Hagan; Robert Dreicer; Seth Lerner; Bogdan Czerniak; Fred Waldman; Susan Groshen; Lawrence D True; Emanuel Petricoin; Dan Theodorescu; Andrew Hruszkewycz; Dean Bajorin
Journal:  Urol Oncol       Date:  2014-10-24       Impact factor: 3.498

Review 5.  Emerging personalized approaches for the management of advanced urothelial carcinoma.

Authors:  Che-Kai Tsao; Benjamin A Gartrell; William K Oh; Matthew D Galsky
Journal:  Expert Rev Anticancer Ther       Date:  2012-12       Impact factor: 4.512

6.  Flow induces epithelial-mesenchymal transition, cellular heterogeneity and biomarker modulation in 3D ovarian cancer nodules.

Authors:  Imran Rizvi; Umut A Gurkan; Savas Tasoglu; Nermina Alagic; Jonathan P Celli; Lawrence B Mensah; Zhiming Mai; Utkan Demirci; Tayyaba Hasan
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-03       Impact factor: 11.205

7.  Identification of EGFR Mutations by Immunohistochemistry with EGFR Mutation-Specific Antibodies in Biopsy and Resection Specimens from Pulmonary Adenocarcinoma.

Authors:  Chi Hong Kim; Seung Hoon Kim; Sonya Youngju Park; Jinyoung Yoo; Sung Kyoung Kim; Hoon Kyo Kim
Journal:  Cancer Res Treat       Date:  2015-01-30       Impact factor: 4.679

8.  Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

Authors:  Nicolas Coudray; Paolo Santiago Ocampo; Theodore Sakellaropoulos; Navneet Narula; Matija Snuderl; David Fenyö; Andre L Moreira; Narges Razavian; Aristotelis Tsirigos
Journal:  Nat Med       Date:  2018-09-17       Impact factor: 53.440

9.  Alterations in epidermal growth factor receptors 1 and 2 in esophageal squamous cell carcinomas.

Authors:  Isabela Martins Gonzaga; Sheila Coelho Soares-Lima; Paulo Thiago Souza de Santos; Tania Cristina Moita Blanco; Bruno Souza Bianchi de Reis; Danielle Carvalho Quintella; Ivanir Martins de Oliveira; Paulo Antonio Silvestre de Faria; Cleber Dario Pinto Kruel; Nelson Adami Andreollo; Tatiana Almeida de Simão; Luis Felipe Ribeiro Pinto
Journal:  BMC Cancer       Date:  2012-12-04       Impact factor: 4.430

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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