Evidence map›Paper›PMID 32397977›Full record

ArticleBMC cancer2020

Mutational spectrum of acquired resistance to reversible versus irreversible EGFR tyrosine kinase inhibitors.

Svenja Wagener-Ryczek, Carina Heydt, Juliane Süptitz, Sebastian Michels, Markus Falk, Christina Alidousty, Jana Fassunke, Michaela Angelika Ihle, Markus Tiemann, Lukas Heukamp and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  15. International journal of molecular sciences · 2022
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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

13 authors at 1 institution in 1 country.

Svenja Wagener-RyczekInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany. svenja.wagener-ryczek@uk-koeln.de.ORCID http://orcid.org/0000-0002-2870-5606
Carina HeydtInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
Juliane SüptitzDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Sebastian MichelsDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Markus FalkInsitute for Haematopathology, Hamburg, Hamburg, Germany.
Christina AlidoustyInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
Jana FassunkeInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
Michaela Angelika IhleInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
Markus TiemannInsitute for Haematopathology, Hamburg, Hamburg, Germany.
Lukas HeukampInsitute for Haematopathology, Hamburg, Hamburg, Germany.
Jürgen WolfDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Reinhard BüttnerInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
Sabine Merkelbach-BruseInstitute of Pathology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany.
University Hospital Cologne · DE

Funding

Boehringer Ingelheim Not applicable
6 · The paper itself

Abstract

backgroundOver the past years, EGFR tyrosine kinase inhibitors (TKI) revolutionized treatment response. 1st-generation (reversible) EGFR TKI and later the 2nd -generation irreversible EGFR TKI Afatinib were aimed to improve treatment response. Nevertheless, diverse resistance mechanisms develop within the first year of therapy. Here, we evaluate the prevalence of acquired resistance mechanisms towards reversible and irreversible EGFR TKI.

methodsRebiopsies of patients after progression to EGFR TKI therapy (> 6 months) were targeted to histological and molecular analysis. Multiplexed targeted sequencing (NGS) was conducted to identify acquired resistance mutations (e.g. EGFR p.T790M). Further, Fluorescence in situ hybridisation (FISH) was applied to investigate the status of bypass mechanisms like, MET or HER2 amplification.

resultsOne hundred twenty-three rebiopsy samples of patients that underwent first-line EGFR TKI therapy (PFS ≥6 months) were histologically and molecularly profiled upon clinical progression. The EGFR p.T790M mutation is the major mechanism of acquired resistance in patients treated with reversible as well as irreversible EGFR TKI. Nevertheless a statistically significant difference for the acquisition of T790M mutation has been identified: 45% of afatinib- vs 65% of reversible EGFR TKI treated patients developed a T790M mutation (p-value 0.02). Progression free survival (PFS) was comparable in patients treated with irreversible EGFR irrespective of the sensitising primary mutation or the acquisition of p.T790M.

conclusionsThe EGFR p.T790M mutation is the most prominent mechanism of resistance to reversible and irreversible EGFR TKI therapy. Nevertheless there is a statistically significant difference of p.T790M acquisition between the two types of TKI, which might be of importance for clinical therapy decision.

Indexed as

Drug Resistance, NeoplasmMutationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedMolecular Targeted TherapyPrognosisBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsAcquired resistanceAfatinibEGFRErlotinibGefitinibNSCLCTKI

Identifiers

PMID32397977
PMCPMC7216404
OpenAlexW3025148324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.