Literature DB >> 22036089

Establishing an EGFR mutation screening service for non-small cell lung cancer - sample quality criteria and candidate histological predictors.

Alexandra F Leary1, David Gonzalez de Castro, Andrew G Nicholson, Sue Ashley, Andrew Wotherspoon, Mary E R O'Brien, Sanjay Popat.   

Abstract

INTRODUCTION: EGFR screening requires good quality tissue, sensitivity and turn-around time (TAT). We report our experience of routine screening, describing sample type, TAT, specimen quality (cellularity and DNA yield), histopathological description, mutation result and clinical outcome.
METHODS: Non-small cell lung cancer (NSCLC) sections were screened for EGFR mutations (M+) in exons 18-21. Clinical, pathological and screening outcome data were collected for year 1 of testing. Screening outcome alone was collected for year 2.
RESULTS: In year 1, 152 samples were tested, most (72%) were diagnostic. TAT was 4.9 days (95%confidence interval (CI)=4.5-5.5). EGFR-M+ prevalence was 11% and higher (20%) among never-smoking women with adenocarcinomas (ADCs), but 30% of mutations occurred in current/ex-smoking men. EGFR-M+ tumours were non-mucinous ADCs and 100% thyroid transcription factor (TTF1+). No mutations were detected in poorly differentiated NSCLC-not otherwise specified (NOS). There was a trend for improved overall survival (OS) among EGFR-M+ versus EGFR-M- patients (median OS=78 versus 17 months). In year 1, test failure rate was 19%, and associated with scant cellularity and low DNA concentrations. However 75% of samples with poor cellularity but representative of tumour were informative and mutation prevalence was 9%. In year 2, 755 samples were tested; mutation prevalence was 13% and test failure only 5.4%. Although samples with low DNA concentration (<2 ng/μL) had more test failures (30% versus 3.9% for [DNA]>2.2 ng/μL), the mutation rate was 9.2%.
CONCLUSION: Routine epidermal growth factor receptor (EGFR) screening using diagnostic samples is fast and feasible even on samples with poor cellularity and DNA content. Mutations tend to occur in better-differentiated non-mucinous TTF1+ ADCs. Whether these histological criteria may be useful to select patients for EGFR testing merits further investigation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22036089     DOI: 10.1016/j.ejca.2011.09.022

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  15 in total

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2.  The Frequency of Epidermal Growth Factor Receptor (EGFR) mutations in Iraqi patients with Non-Small Cell Lung Cancer (NSCLC).

Authors:  Hanan H Ramadhan; Dhuha F Taaban; Jubran K Hassan
Journal:  Asian Pac J Cancer Prev       Date:  2021-02-01

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Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

4.  Differential promoter methylation of kinesin family member 1a in plasma is associated with breast cancer and DNA repair capacity.

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Journal:  Oncol Rep       Date:  2014-06-13       Impact factor: 3.906

5.  A prospective, molecular epidemiology study of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology (PIONEER).

Authors:  Yuankai Shi; Joseph Siu-Kie Au; Sumitra Thongprasert; Sankar Srinivasan; Chun-Ming Tsai; Mai Trong Khoa; Karin Heeroma; Yohji Itoh; Gerardo Cornelio; Pan-Chyr Yang
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6.  Detection of epidermal growth factor receptor mutations in formalin fixed paraffin embedded biopsies in Malaysian non-small cell lung cancer patients.

Authors:  Tiffany Ng Shi Yeen; Rajadurai Pathmanathan; Mohd Sidik Shiran; Fattah Azman Ahmad Zaid; Yoke Kqueen Cheah
Journal:  J Biomed Sci       Date:  2013-04-16       Impact factor: 8.410

7.  EGFR mutation testing in patients with advanced non-small cell lung cancer: a comprehensive evaluation of real-world practice in an East Asian tertiary hospital.

Authors:  Yoon-La Choi; Jong-Mu Sun; Juhee Cho; Sanjay Rampal; Joungho Han; Bhash Parasuraman; Eliseo Guallar; Genehee Lee; Jeeyun Lee; Young Mog Shim
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

8.  Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach.

Authors:  Alexandra Pender; Isaac Garcia-Murillas; Sareena Rana; Rosalind J Cutts; Gavin Kelly; Kerry Fenwick; Iwanka Kozarewa; David Gonzalez de Castro; Jaishree Bhosle; Mary O'Brien; Nicholas C Turner; Sanjay Popat; Julian Downward
Journal:  PLoS One       Date:  2015-09-28       Impact factor: 3.240

9.  Detection of EGFR gene mutations in non-small cell lung cancer: lessons from a single-institution routine analysis of 1,403 tumor samples.

Authors:  Audrey Vallee; Christine Sagan; Anne-Gaelle Le Loupp; Kalyane Bach; Thomas Dejoie; Marc G Denis
Journal:  Int J Oncol       Date:  2013-08-07       Impact factor: 5.650

10.  The efficacy of EGFR gene mutation testing in various samples from non-small cell lung cancer patients: a multicenter retrospective study.

Authors:  Paweł Krawczyk; Rodryg Ramlau; Joanna Chorostowska-Wynimko; Tomasz Powrózek; Marzena Anna Lewandowska; Janusz Limon; Bartosz Wasąg; Juliusz Pankowski; Jerzy Kozielski; Ewa Kalinka-Warzocha; Aleksandra Szczęsna; Kamila Wojas-Krawczyk; Michał Skroński; Rafał Dziadziuszko; Paulina Jaguś; Ewelina Antoszewska; Justyna Szumiło; Bożena Jarosz; Aldona Woźniak; Wojciech Jóźwicki; Wojciech Dyszkiewicz; Monika Pasieka-Lis; Dariusz M Kowalski; Maciej Krzakowski; Jacek Jassem; Janusz Milanowski
Journal:  J Cancer Res Clin Oncol       Date:  2014-08-03       Impact factor: 4.553

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