Evidence map›Paper›PMID 30094734›Full record

ArticlePathology oncology research : POR2019

Large-Scale EGFR Mutation Testing in Clinical Practice: Analysis of a Series of 18,920 Non-Small Cell Lung Cancer Cases.

Matthew Evans, Brendan O'Sullivan, Matthew Smith, Frances Hughes, Tina Mullis, Nicola Trim, Philippe Taniere

Abstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. UncommonCurrent oncology (Toronto, Ont.) · 2022
    Pooled it
  4. DistinctFrontiers in oncology · 2020
    Pooled it
  5. Article
  6. Article
  7. Case of a rare EGFR mutation LRespiratory medicine case reports · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Matthew EvansMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK. matthew.evans7@nhs.net.ORCID http://orcid.org/0000-0002-2676-6130
Brendan O'SullivanMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
Matthew SmithMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
Frances HughesMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
Tina MullisMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
Nicola TrimMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
Philippe TaniereMolecular Pathology Diagnostic Service, University Hospital Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK.
University Hospitals Birmingham NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We make use of a very large dataset of non-small cell lung cancer specimens to examine the molecular epidemiology of EGFR mutations, particularly with respect to rare and compound mutations, and to non-adenocarcinoma histological subtypes. We also demonstrate the feasibility of large-scale EGFR mutation screening using the full range of specimens encountered in routine practice. We retrospectively reviewed 18,920 unselected EGFR mutation results from our centre between July 2009 and October 2016, using Qiagen's therascreen EGFR RGQ PCR Kit. Mutation rates were correlated with patient demographics and tumour histology. Our testing success rate was 93.9%, with similar success rates using histological and cytological specimens. Rare, potentially-targetable mutations accounted for 9.5% of all mutations detected. We identified a 2.5% mutation rate in tumours diagnosed as squamous cell carcinomas. There was a trend towards increasing EGFR mutation rates with increasing age, and while Del19 was the commonest mutation in the young, L858R predominated in the elderly. We found that EGFR mutation heterogeneity is rare within tumours and between primary and metastatic deposits. Our data demonstrate that large-scale, reflex EGFR mutation testing is feasible and affordable in the context of a publicly-funded health system. Furthermore, we have shown that the use of techniques sensitive only to classical mutations and selection of patients on the grounds of age, sex and histology denies patients access to potentially beneficial TKI therapy.

Indexed as

MutationAdenocarcinoma of LungAgedAged, 80 and overBiomarkers, TumorCarcinoma, Large CellCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPractice Patterns, Physicians'Biomarkers, TumorEGFR protein, humanErbB ReceptorsEGFRLung cancerMolecular pathologyTKI

Identifiers

PMID30094734
OpenAlexW2887582763

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.