Evidence map›Paper›PMID 31186726›Full record

ArticleOncology letters2019

Frequency and significance of epidermal growth factor receptor mutations detected by PCR methods in patients with non-small cell lung cancer.

Eiji Nakajima, Michio Sugita, Kinya Furukawa, Hidenobu Takahashi, Osamu Uchida, Youhei Kawaguchi, Tatsuo Ohira, Jun Matsubayashi, Norihiko Ikeda, Fred R Hirsch and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. 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
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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  6. Three NovelOncoTargets and therapy · 2020
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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

11 authors at 5 institutions in 2 countries.

Eiji NakajimaDepartment of Thoracic Surgery, Tokyo Medical University Ibaraki Medical Center, Ibaraki 300-0395, Japan.
Michio SugitaDepartment of Pathology, University of Colorado Health Sciences Center, Aurora, CO 80045, USA.
Kinya FurukawaDepartment of Thoracic Surgery, Tokyo Medical University Ibaraki Medical Center, Ibaraki 300-0395, Japan.
Hidenobu TakahashiDepartment of Thoracic Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo 193-0998, Japan.
Osamu UchidaDepartment of Thoracic Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo 193-0998, Japan.
Youhei KawaguchiDepartment of Thoracic Surgery, Tokyo Medical University Hospital, Tokyo 160-0023, Japan.
Tatsuo OhiraDepartment of Thoracic Surgery, Tokyo Medical University Hospital, Tokyo 160-0023, Japan.
Jun MatsubayashiDepartment of Pathology, Tokyo Medical University Hospital, Tokyo 160-0023, Japan.
Norihiko IkedaDepartment of Thoracic Surgery, Tokyo Medical University Hospital, Tokyo 160-0023, Japan.
Fred R HirschDivision of Medical Oncology, University of Colorado Health Sciences Center, Aurora, CO 80045, USA.
Wilbur A FranklinDepartment of Pathology, University of Colorado Health Sciences Center, Aurora, CO 80045, USA.
Tokyo Medical University Hospital · JPTokyo Medical University Hachioji Medical Center · JPTokyo Medical University Ibaraki Medical Center · JPUniversity of Colorado Health · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is the most important driver gene of non-small cell lung cancer (NSCLC) as EGFR mutations determine the efficacy of EGFR tyrosine kinase inhibitor (EGFR-TKI) therapy. In the present study, the comprehensive ability of widely used polymerase chain reaction (PCR) methods to detect EGFR mutations was determined. Among the 35 EGFR mutations detected via the direct sequencing of 73 patients with NSCLC, 11 types were identified in exons 18, 19 and 21. Among the 11 mutation types, all exon 18 and 21 mutations were identified by 2 widely used PCR methods, namely, Scorpion-Amplification Refractory Mutation System and cobas v2. However, among the 9 different exon 19 deletions, 3 types were not identified by the 2 methods. In addition, 25 samples with EGFR mutations were analyzed by the 2 methods, including a sample from a patient with an unidentified exon 19 deletion, the T751_I759 deletion and insertion S; this patient had long-term disease control as a result of EGFR-TKI therapy. The 2 methods could not detect this unidentified deletion, whereas sizing capillary electrophoresis for the comprehensive detection of exon 19 deletions detected this deletion. It is generally thought that patients with exon 19 mutations have higher response rates to EGFR-TKI therapy than patients with exon 21 mutations. The present study confirmed the EGFR mutation status by comparing the mutations with the Catalog Of Somatic Mutations In Cancer, which is the world's largest and most comprehensive resource for analyzing the effects of somatic mutations in human cancers. The predicted frequency of EGFR mutations identified by the 2 methods was 85%. The frequency of mutations detectable by the 2 methods was less for exon 19 than exon 21. Therefore, the results of the present study suggest that decreasing false-negative detection of exon 19 deletions is crucial for the clinical testing of EGFR mutations.

Indexed as

epidermal growth factor receptorexon 19 deletionnon-small cell lung cancerPCRtyrosine kinase inhibitor

Identifiers

PMID31186726
PMCPMC6507309
OpenAlexW2921861512

What OpenQuestion holds

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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.