Evidence map›Paper›PMID 25719557›Full record

ArticlePloS one2015

The use of a two-tiered testing strategy for the simultaneous detection of small EGFR mutations and EGFR amplification in lung cancer.

Marzena Anna Lewandowska, Karol Czubak, Katarzyna Klonowska, Wojciech Jozwicki, Janusz Kowalewski, Piotr Kozlowski

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Marzena Anna LewandowskaMolecular Oncology and Genetics Unit, Department of Tumour Pathology and Pathomorphology, Franciszek Lukaszczyk Oncology Centre, Bydgoszcz, Poland; Department of Thoracic Surgery and Tumours, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.
Karol CzubakEuropean Centre of Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; Poznan University of Technology, Pl. Marii Sklodowskiej-Curie 5, 60-965, Poznan, Poland.
Katarzyna KlonowskaEuropean Centre of Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; Poznan University of Technology, Pl. Marii Sklodowskiej-Curie 5, 60-965, Poznan, Poland.
Wojciech JozwickiDepartment of Tumour Pathology and Pathomorphology, Franciszek Łukaszczyk Oncology Centre, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.
Janusz KowalewskiDepartment of Thoracic Surgery and Tumours, Franciszek Łukaszczyk Oncology Centre, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.
Piotr KozlowskiEuropean Centre of Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; Poznan University of Technology, Pl. Marii Sklodowskiej-Curie 5, 60-965, Poznan, Poland.
Collegium Medicum in Bydgoszcz · PLPoznań University of Technology · PLInstitute of Bioorganic Chemistry, Polish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death worldwide. Recent progress in lung cancer diagnosis and treatment has been achieved due to a better understanding the molecular mechanisms of the disease and the identification of biomarkers that allow more specific cancer treatments. One of the best known examples of personalized therapy is the use of tyrosine kinase inhibitors, such as gefitinib and erlotinib, for the successful treatment of non-small-cell lung cancer patients selected based on the specific EGFR mutations. Therefore, the reliable detection of mutations is critical for the application of appropriate therapy. In this study, we tested a two-tiered mutation detection strategy using real-time PCR assays as a well-validated high-sensitivity method and multiplex ligation-dependent probe amplification (MLPA)-based EGFRmut+ assay as a second-tier standard-sensitivity method. One additional advantage of the applied MLPA method is that it allows the simultaneous detection of EGFR mutations and copy-number alterations (i.e., amplifications) in EGFR, MET and ERBB2. Our analysis showed high concordance between these two methods. With the use of this two-tier strategy, we reliably determined the frequency of EGFR mutations and EGFR, MET and ERBB2 amplifications in over 200 lung cancer samples. Additionally, taking advantage of simultaneous copy number and small mutation analyses, we showed a very strong correlation between EGFR mutations and EGFR amplifications and a mutual exclusiveness of EGFR mutations/amplifications with MET and ERBB2 amplifications. Our results proved the reliability and usefulness of the two-tiered EGFR testing strategy.

Indexed as

Gene AmplificationPoint MutationAdultAgedAged, 80 and overBiomarkers, TumorEarly Detection of CancerErbB ReceptorsHumansLung NeoplasmsMiddle AgedMultiplex Polymerase Chain ReactionBiomarkers, TumorEGFR protein, humanErbB Receptors

Identifiers

PMID25719557
PMCPMC4342230
OpenAlexW2002009109

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Registered trials

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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.