Evidence map›Paper›PMID 28520821›Full record

ArticlePloS one2017

The percentage of Epidermal Growth Factor Receptor (EGFR)-mutated neoplastic cells correlates to response to tyrosine kinase inhibitors in lung adenocarcinoma.

Dario de Biase, Giovenzio Genestreti, Michela Visani, Giorgia Acquaviva, Monica Di Battista, Giovanna Cavallo, Alexandro Paccapelo, Alessandra Cancellieri, Rocco Trisolini, Roberta Degli Esposti and 4 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

14 authors.

Dario de BiaseDepartment of Pharmacy and Biotechnology (Dipartimento di Farmacia e Biotecnologie) - Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-0609-8817
Giovenzio GenestretiDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Michela VisaniDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale) - Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna School of Medicine, Bologna, Italy.
Giorgia AcquavivaDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale) - Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna School of Medicine, Bologna, Italy.
Monica Di BattistaDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Giovanna CavalloDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Alexandro PaccapeloDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Alessandra CancellieriAnatomic Pathology Unit, AUSL Bologna, Maggiore Hospital, Bologna, Italy.
Rocco TrisoliniInterventional Pulmology, Sant'Orsola, Malpighi Hospital, Bologna, Italy.
Roberta Degli EspostiDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Stefania BartoliniDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.
Annalisa PessionDepartment of Pharmacy and Biotechnology (Dipartimento di Farmacia e Biotecnologie) - Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna, Bologna, Italy.
Giovanni TalliniDepartment of Medicine (Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale) - Molecular Diagnostic Unit, Azienda USL di Bologna, University of Bologna School of Medicine, Bologna, Italy.
Alba A BrandesDepartment of Oncology, AUSL Bologna - IRCCS Institute of Neurological Sciences, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal Growth Factor Receptor (EGFR) molecular analysis is performed to assess the responsiveness to Tyrosine Kinase Inhibitors (TKIs) in patients with Non-Small Cell Lung Cancer (NSCLC). The existence of molecular intra-tumoral heterogeneity has been observed in lung cancers. The aim of the present study is to investigate if the percentage of mutated neoplastic cells within the tumor sample might influence the responsiveness to TKIs treatment. MATERIAL AND

methodsA total of 931 cases of NSCLC were analyzed for EGFR mutational status (exon 18, 19, 20, 21) using Next Generation Sequencer. The percentage of mutated neoplastic cells was calculated after normalizing the percentage of mutated alleles obtained after next generation sequencer analysis with the percentage of neoplastic cells in each tumor.

resultsNext generation sequencing revealed an EGFR mutation in 167 samples (17.9%), mainly deletions in exon 19. In 18 patients treated with TKIs and with available follow-up, there was a significant correlation between the percentage of mutated neoplastic cells and the clinical response (P = 0.017). Patients with a percentage of mutated neoplastic cells greater than 56%, have a statistical trend (P = 0.081) for higher Overall Survival (26.3 months) when compared to those with a rate of mutated neoplastic cells lower than 56% (8.2 months).

conclusionsThe percentage of EGFR-mutated neoplastic cells in the tumor is associated with response to TKIs. A "quantitative result" of EGFR mutational status might provide useful information in order to recognize those patients which might have the greatest benefit from TKIs.

Indexed as

MutationAdenocarcinomaAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorErbB ReceptorsFemaleHumansLung NeoplasmsMaleMiddle AgedProtein Kinase InhibitorsAntineoplastic AgentsBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID28520821
PMCPMC5433779

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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.