Evidence map›Paper›PMID 39947926›Full record

ArticleThoracic cancer2025

Detection of Overlooked Rare EGFR Mutations in Non-small Cell Lung Cancer Using Multigene Testing.

Naoki Shiraishi, Takayuki Takahama, Kazuko Sakai, Kaoru Tanaka, Yuzuki Nakagawa, Hiroaki Kanemura, Tomohiro Nakayama, Yusuke Kawanaka, Takashi Kurosaki, Shinichiro Suzuki and 9 more

Abstract read
In one paragraph

Article in Thoracic cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

19 authors.

Naoki ShiraishiGenome Medical Center, Kindai University Hospital, Osaka, Japan.
Takayuki TakahamaGenome Medical Center, Kindai University Hospital, Osaka, Japan.ORCID https://orcid.org/0000-0002-0321-6718
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Kaoru TanakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Yuzuki NakagawaGenome Medical Center, Kindai University Hospital, Osaka, Japan.
Hiroaki KanemuraDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Tomohiro NakayamaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Yusuke KawanakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Takashi KurosakiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Shinichiro SuzukiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Tsutomu IwasaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Junko TanizakiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Chiaki InagakiGenome Medical Center, Kindai University Hospital, Osaka, Japan.
Kimio YonesakaGenome Medical Center, Kindai University Hospital, Osaka, Japan.
Kazuya FukuokaGenome Medical Center, Kindai University Hospital, Osaka, Japan.
Tetsuya MitsudomiIzumi City General Hospital, Osaka, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Hidetoshi HayashiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka, Japan.
Kazuhiko NakagawaGenome Medical Center, Kindai University Hospital, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecognizing rare molecular variants of driver mutations poses a challenge in precision oncology, particularly for treatment of non-small cell lung cancer (NSCLC). In this study, we aimed to determine whether Oncomine Dx Target Test Multi-CDx System (ODxTT), the most widely used genetic test for NSCLC in Japan, potentially overlooks druggable EGFR mutations. MATERIALS AND

methodsAmong 418 patients who underwent molecular testing using ODxTT at our hospital, 267 were diagnosed with adenocarcinoma. No mutations were reported in 82 of these cases. For these 82 cases, we searched for EGFR mutations in exons 18-21 by examining the binary alignment map file. Once a mutation was identified, its pathological significance was evaluated using the ClinVar database to determine whether ODxTT had overlooked any actionable EGFR mutations.

resultsMutations in EGFR exons 19 and 18 were identified in six and four cases, respectively. Three, six, and none of these variants were detectable using the Cobas EGFR Mutation Test v2, Lung Cancer Compact Panel, and Amoy Dx, respectively. Of the 10 patients, five were subsequently treated with EGFR TKI; three showed partial response, one had stable disease, and one had progressive disease.

conclusionsODxTT failed to identify 10 actionable EGFR mutations, accounting for 12.2% (10/82) of the cases initially reported as not carrying actionable mutations. Therefore, comprehensive genomic profiling should be actively performed early in cases with high clinical suspicion of EGFR mutations.

Indexed as

Carcinoma, Non-Small-Cell LungGenetic TestingLung NeoplasmsMutationAdultAgedAged, 80 and overErbB ReceptorsFemaleHumansMaleMiddle AgedEGFR protein, humanErbB ReceptorsEGFR mutationnext‐generation sequencingnon‐small cell lung cancerOncomine Dx Target Test

Identifiers

PMID39947926
PMCPMC11825211

What OpenQuestion holds

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LicenceCC BY
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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.