Literature DB >> 25120814

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.

Xueqing Wang1, Guoqing Wang1, Yueyue Hao1, Yinhong Xu1, Lihua Zhang1.   

Abstract

We have compared mutation analysis by Amplification Refractory Mutation System (ARMS) and epidermal growth factor receptor (EGFR) mutant-specific antibodies for their ability to detect two common activating EGFR mutations in a cohort of 115 advanced non-small cell lung cancer (NSCLC), including cytology material, core biopsy, and bronchoscopic biopsies. Assessment of EGFR mutation status was performed by using antibodies and ARMS assay specific to the two major forms of mutant EGFR, exon 19 deletion E746-A750 (c.2235_2249del15 or c.2236_2250del15, p. Glu746_Ala750 del) and exon 21 L858R point mutation (c.2573T>G, p.Leu858Arg). In this study the optimal buffer for antigen retrieval was sodium citrate (pH 6.0). Q score was used to evaluate the specific mutant EGFR proteins expression. Validation using clinical material showed deletions in exon 19 were detected in 19.1% and L858R mutation in 20% of all cases by ARMS assay. A cutoff value of score 1 was used as positive by IHC. No wild type cases were immuno-reactive. The antibodies performed well in cytology, core biopsies and bronchoscopic biopsies. There were only one false positive case using L858R IHC (sensitivity 100%, specificity 98.5%, positive predictive value 96%, negative predictive value 100%). All 23 E746-A750 exon 19 deletions identified by mutation analysis were positive by IHC. The sensitivity of exon 19 IHC for E746-A750 was 100%, specificity 100%, positive predictive value 100% and negative predictive value 100%. The result of the IHC stains was finely correlated with mutations status determined by ARMS assay. Although inferior to molecular genetic analysis of the EGFR gene, IHC is highly specific and sensitive for the targeted EGFR mutations. The antibodies are likely to be of clinical value in cases especially where limited tumor material is available, or in situations where molecular genetic analysis is not readily available.

Entities:  

Keywords:  EGFR mutation; NSCLC; cytology; immunohistochemistry

Mesh:

Substances:

Year:  2014        PMID: 25120814      PMCID: PMC4129049     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  16 in total

Review 1.  New driver mutations in non-small-cell lung cancer.

Authors:  William Pao; Nicolas Girard
Journal:  Lancet Oncol       Date:  2011-02       Impact factor: 41.316

Review 2.  Molecular pathology of lung cancer: key to personalized medicine.

Authors:  Liang Cheng; Riley E Alexander; Gregory T Maclennan; Oscar W Cummings; Rodolfo Montironi; Antonio Lopez-Beltran; Harvey M Cramer; Darrell D Davidson; Shaobo Zhang
Journal:  Mod Pathol       Date:  2012-01-27       Impact factor: 7.842

3.  Novel EGFR mutation-specific antibodies for lung adenocarcinoma: highly specific but not sensitive detection of an E746_A750 deletion in exon 19 and an L858R mutation in exon 21 by immunohistochemistry.

Authors:  An Na Seo; Tae-In Park; Yan Jin; Ping-Li Sun; Hyojin Kim; Hyun Chang; Jin-Haeng Chung
Journal:  Lung Cancer       Date:  2013-12-24       Impact factor: 5.705

4.  Identification of non-small-cell lung cancer with activating EGFR mutations in malignant effusion and cerebrospinal fluid: rapid and sensitive detection of exon 19 deletion E746-A750 and exon 21 L858R mutation by immunocytochemistry.

Authors:  Akihiko Kawahara; Koichi Azuma; Akiko Sumi; Tomoki Taira; Kazutaka Nakashima; Emiko Aikawa; Hideyuki Abe; Tomohiko Yamaguchi; Shinzo Takamori; Jun Akiba; Masayoshi Kage
Journal:  Lung Cancer       Date:  2011-03-27       Impact factor: 5.705

5.  Molecular diagnosis of activating EGFR mutations in non-small cell lung cancer using mutation-specific antibodies for immunohistochemical analysis.

Authors:  Akihiko Kawahara; Chizuko Yamamoto; Kazutaka Nakashima; Koichi Azuma; Satoshi Hattori; Masaki Kashihara; Hisamichi Aizawa; Yuji Basaki; Michihiko Kuwano; Masayoshi Kage; Tetsuya Mitsudomi; Mayumi Ono
Journal:  Clin Cancer Res       Date:  2010-04-27       Impact factor: 12.531

6.  Use of mutation specific antibodies to detect EGFR status in small biopsy and cytology specimens of lung adenocarcinoma.

Authors:  Adnan Hasanovic; Daphne Ang; Andre L Moreira; Maureen F Zakowski
Journal:  Lung Cancer       Date:  2012-04-26       Impact factor: 5.705

7.  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.

Authors:  Koichi Azuma; Isamu Okamoto; Akihiko Kawahara; Tomoki Taira; Kazutaka Nakashima; Satoshi Hattori; Takashi Kinoshita; Masayuki Takeda; Kazuhiko Nakagawa; Shinzo Takamori; Michihiko Kuwano; Mayumi Ono; Masayoshi Kage
Journal:  J Thorac Oncol       Date:  2012-01       Impact factor: 15.609

8.  [Immunohistochemistry using epidermal growth factor receptor mutation-specific antibodies of delE746-A750 and L858R in lung adenocarcinomas].

Authors:  Xiang-shan Fan; Biao Liu; Bo Yu; Shan-shan Shi; Xuan Wang; Jin Zhang; Jian-dong Wang; Zhen-feng Lu; Heng-hui Ma; Xiao-jun Zhou
Journal:  Zhonghua Bing Li Xue Za Zhi       Date:  2013-03

9.  A comparison of ARMS and DNA sequencing for mutation analysis in clinical biopsy samples.

Authors:  Gillian Ellison; Emma Donald; Gael McWalter; Lucy Knight; Lynn Fletcher; James Sherwood; Mireille Cantarini; Maria Orr; Georgina Speake
Journal:  J Exp Clin Cancer Res       Date:  2010-10-06

10.  Including total EGFR staining in scoring improves EGFR mutations detection by mutation-specific antibodies and EGFR TKIs response prediction.

Authors:  Shang-Gin Wu; Yih-Leong Chang; Jou-Wei Lin; Chen-Tu Wu; Hsuan-Yu Chen; Meng-Feng Tsai; Yung-Chie Lee; Chong-Jen Yu; Jin-Yuan Shih
Journal:  PLoS One       Date:  2011-08-09       Impact factor: 3.240

View more
  5 in total

1.  Clinical features and mutation status of EGFR, KRAS, BRAF, EML4-ALK and ROS1 between surgical resection samples and non surgical resection samples in lung cancer.

Authors:  Wentao Li; Jichen Qu; Zhifei Xu
Journal:  J Thorac Dis       Date:  2015-05       Impact factor: 2.895

2.  The expression of SALL4 is significantly associated with EGFR, but not KRAS or EML4-ALK mutations in lung cancer.

Authors:  Xiangbo Jia; Rulin Qian; Binbin Zhang; Song Zhao
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

Review 3.  Immunocytochemistry for predictive biomarker testing in lung cancer cytology.

Authors:  Deepali Jain; Aruna Nambirajan; Alain Borczuk; Gang Chen; Yuko Minami; Andre L Moreira; Noriko Motoi; Mauro Papotti; Natasha Rekhtman; Prudence A Russell; Spasenija Savic Prince; Yasushi Yatabe; Lukas Bubendorf
Journal:  Cancer Cytopathol       Date:  2019-05-03       Impact factor: 5.284

4.  Prognostic implications of immunohistochemistry markers for EGFR-TKI therapy in Chinese patients with advanced lung adenocarcinoma harboring EGFR mutations.

Authors:  Ruiguang Zhang; Yan Li; Xiu Nie; Xiaorong Dong; Gang Wu
Journal:  Onco Targets Ther       Date:  2016-01-18       Impact factor: 4.147

5.  Prognostic Value of Baseline 18F-FDG PET/CT Functional Parameters in Patients with Advanced Lung Adenocarcinoma Stratified by EGFR Mutation Status.

Authors:  Dalong Wang; Minghui Zhang; Xuan Gao; Lijuan Yu
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.