Evidence map›Paper›PMID 32028909›Full record

ArticleBMC cancer2020

Differential significance of molecular subtypes which were classified into EGFR exon 19 deletion on the first line afatinib monotherapy.

Nahomi Tokudome, Yasuhiro Koh, Hiroaki Akamatsu, Daichi Fujimoto, Isamu Okamoto, Kazuhiko Nakagawa, Toyoaki Hida, Fumio Imamura, Satoshi Morita, Nobuyuki Yamamoto

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Metabolic complete tumor response in a patient withThe Journal of international medical research · 2022
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  10. Review
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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

10 authors at 7 institutions in 1 country.

Nahomi TokudomeInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan.
Yasuhiro KohInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan. ykoh@wakayama-med.ac.jp.
Hiroaki AkamatsuInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan.
Daichi FujimotoDepartment of Respiratory Medicine, Kobe City Medical Center General Hospital, Kobe, Japan.
Isamu OkamotoResearch Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kazuhiko NakagawaDepartment of Medical Oncology, Faculty of Medicine, Kindai University, Osaka, Japan.
Toyoaki HidaDepartment of Thoracic Oncology, Aichi Cancer Center, Nagoya, Japan.
Fumio ImamuraDepartment of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Nobuyuki YamamotoInternal Medicine III, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan.
Wakayama Medical University · JPAichi Cancer Center · JPKindai University · JPKobe City Medical Center General Hospital · JPKyoto University · JPKyushu University · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR)-sensitizing mutation, exon 19 deletion consists of several molecular variants. Influences of these variants on clinical response to EGFR tyrosine kinase inhibitors remain elusive.

methodsWest Japan Oncology Group 8114LTR is a prospective, multi-institutional biomarker study. Treatment naïve, advanced non-small-cell lung cancer patients with EGFR-sensitizing mutation received afatinib monotherapy. We conducted a preplanned subset analysis of patients harboring exon 19 deletion. Tumor tissue exon 19 deletion molecular variants were identified by blocking-oligo-dependent polymerase chain reaction (PCR) and by Luminex Technology. Plasma cfDNA was also obtained before and after the treatment and EGFR mutations were detected with multiplexed, pico-droplet digital PCR assay.

resultsAmong 57 registered patients, twenty-nine patients were exon 19 deletion. Tissue DNA and cfDNA were available in 26 patients. Among the detected seven molecular variants, the most frequent was p.E746_A750delELREA (65.4%). According to the various classifications of molecular variants, twenty one (80.8%) were classified into 15-nucleotide deletion, one (3.8%) into 18-nucleotide deletion, and four patients (15.4%) into other insertion/substitution variant subgroups. The patient subgroup with 15-nucleotide deletion showed significantly longer progression-free survival than patients in other mixed insertion/substitution variant subgroup (p = 0.0244).

conclusionsThe clinical significance of molecular variants of exon 19 deletion on the first line afatinib monotherapy is reported here for the first time. Further investigation is needed for development of better therapeutic strategies.

trial registrationThis trial was registered at UMIN Clinical Trials Registry at 2014/12/4 (UMIN000015847).

Indexed as

ExonsSequence DeletionAdultAfatinibAgedAllelesCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGenetic Association StudiesGenotypeHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingAfatinibEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsAfatinibEGFR mutationExon 19 deletionMolecular subtypesNSCLC

Identifiers

PMID32028909
PMCPMC7006223
OpenAlexW3009255396

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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.