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Prevalence and clinical association of gene mutations through multiplex mutation testing in patients with NSCLC: Results from the ETOP Lungscape Project

  • K. M. Kerr*
  • , U. Dafni
  • , ETOP Lungscape Consortium
  • , K. Schulze
  • , E. Thunnissen
  • , L. Bubendorf
  • , H. Hager
  • , S. Finn
  • , W. Biernat
  • , L. Vliegen
  • , J. H. Losa
  • , A. Marchetti
  • , R. Cheney
  • , A. Warth
  • , E. J. Speel
  • , F. Blackhall
  • , K. Monkhorst
  • , E. Jantus Lewintre
  • , V. Tischler
  • , C. Clark
  • J. Bertran-Alamillo, P. Meldgaard, K. Gately, A. Wrona, P. Vandenberghe, E. Felip, G. De Luca, S. Savic, T. Muley, E. F. Smit, A. M.C. Dingemans, L. Priest, P. Baas, C. Camps, W. Weder, V. Polydoropoulou, T. R. Geiger, R. Kammler, T. Sumiyoshi, M. A. Molina, D. S. Shames, R. A. Stahel, S. Peters, V. Boss
*Corresponding author for this work
  • NHS Grampian
  • Frontier Science Foundation Hellas
  • National and Kapodistrian University of Athens
  • Genentech Incorporated
  • VU University Medical Center
  • University of Basel
  • Aarhus University Hospital
  • St. James’s Hospital
  • Medical University of Gdańsk
  • University Hospitals Leuven
  • Hospital Vall d'Hebron & ARADyAL research network
  • Gabriele d'Annunzio University
  • SUNY Buffalo
  • University Hospital Heidelberg
  • Maastricht University
  • University of Manchester and Christie NHS Foundation Trust
  • University of Manchester
  • Hospital General Universitario de Valencia
  • University Hospital Zürich
  • USP Institut Universitari Dexeus
  • Member of the German Center for Lung Research
  • Heidelberg University 
  • Netherlands Cancer Institute
  • Centro de Investigación Biomédica en Red (CIBER)
  • University of Valencia
  • ETOP Coordinating Center
  • European Thoracic Oncology Platform (ETOP)
  • Vrije Universiteit Amsterdam
  • Centre Hospitalier Universitaire Vaudois

Research output: Contribution to journal › Article › Academic › peer-review

42 Citations (Scopus)

Abstract

Background: 

Reported prevalence of driver gene mutations in non-small-cell lung cancer (NSCLC) is highly variable and clinical correlations are emerging. Using NSCLC biomaterial and clinical data from the European Thoracic Oncology Platform Lungscape iBiobank, we explore the epidemiology of mutations and association to clinicopathologic features and patient outcome (relapse-free survival, time-to-relapse, overall survival). 

Methods: 

Clinically annotated, resected stage I-III NSCLC FFPE tissue was assessed for gene mutation using a microfluidicsbased multiplex PCR platform. Mutant-allele detection sensitivity is>1% for most of the 150 (13 genes) mutations covered in the multiplex test. 

Results: 

Multiplex testing has been carried out in 2063 (76.2%) of the 2709 Lungscape cases (median follow-up 4.8 years). FFPE samples mostly date from 2005 to 2008, yet recently extracted DNA quality and quantity was generally good. Average DNA yield/case was 2.63 mg; 38 cases (1.4%) failed QC and were excluded from study; 95.1% of included cases allowed the complete panel of mutations to be tested. Most common were KRAS, MET, EGFR and PIK3CA mutations with overall prevalence of 23.0%, 6.8%, 5.4% and 4.9%, respectively. KRAS and EGFR mutations were significantly more frequent in adenocarcinomas: PIK3CA in squamous cell carcinomas. MET mutation prevalence did not differ between histology groups. EGFR mutations were found predominantly in never smokers; KRAS in current/former smokers. For all the above mutations, there was no difference in outcome between mutated and non-mutated cases. 

Conclusion: 

Archival FFPE NSCLC material is adequate for multiplex mutation analysis. In this large, predominantly European, clinically annotated stage I-III NSCLC cohort, none of the mutations characterized showed prognostic significance.

Original languageEnglish
Pages (from-to)200-208
Number of pages9
JournalAnnals of Oncology
Volume29
Issue number1
DOIs
Publication statusPublished - Jan 2018
Externally publishedYes

Bibliographical note

Funding Information:
Genentech Inc. (no grant numbers apply).

Publisher Copyright:
© The Author 2017.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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