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Prevalence of the EGFR T790M and other resistance mutations in the Australian population and histopathological correlation in a small subset of cases

Authors :
Tina Baillie
Julie Burn
Victoria Jones
Anthony J. Gill
Anna Lapuk
Roger H. Kim
Anita Muljono
Yesser Zein
James Harraway
Eric Gagne
Cathy Lim
Melissa K. McConechy
Kambin Nejad
Eric Lee
Fiona Maclean
Ana Cristina Vargas
Michael Walsh
Eleni Topkas
Source :
Pathology. 52:410-420
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

We sought to review the prevalence of EGFR T790M and other EGFR mutations associated with either proven or probable tyrosine kinase inhibitor (TKI) resistance in the Australasian lung cancer population and to perform histopathological correlation in a subset of cases. Retrospective statistical analysis was performed on a set of targeted lung cancer gene mutation tests (FIND IT gene panel) performed at Sonic Healthcare during 2018 and early 2019. A total of 1833 lung adenocarcinoma tumour samples underwent somatic mutation testing. EGFR mutations were found in 28% (n=514) of patients, in whom 9.3% (n=48) T790M mutations were present (always combined with other EGFR mutations) and 4.8% (n=25) exon 20 insertions were found. We also compared the prevalence of EGFR mutations identified in our population with that of the four largest publicly available lung cancer cohorts (total n=576 samples). Finally, a subset of 38 samples of primary/and or metastatic lung adenocarcinomas from 23 patients, including five with serial biopsies, underwent detailed morphological analysis. No reproducible morphological correlates were found to be associated with T790M, exon 20 resistance mutations or rarer co-occurring EGFR mutations. Although this may be subject to referral bias towards patients with resistant disease, the incidence of EGFR and T790M mutations is higher in this series from an Australasian population than in other similar publicly available lung adenocarcinoma cohorts. We conclude that histopathological features cannot be used to predict the acquisition of EGFR resistance.

Details

ISSN :
00313025
Volume :
52
Database :
OpenAIRE
Journal :
Pathology
Accession number :
edsair.doi.dedup.....571878f98ef981283d90c70f2d36efa9
Full Text :
https://doi.org/10.1016/j.pathol.2020.03.003