Evidence map›Paper›PMID 37952955›Full record

ArticleInternal medicine (Tokyo, Japan)2024

Mesenchymal-epithelial Transition Exon 14-skipping Mutation-positive Invasive Mucinous Adenocarcinoma of the Lung: First Case Treated with Mesenchymal-epithelial Transition-tyrosine Kinase Inhibitors.

Shinichi Okuzumi, Hiraku Suzuki, Shojiroh Morinaga, Masaki Tamura, Naoto Minematsu

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Successful Tepotinib Treatment inRespirology case reports · 2025
    Article
  3. 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

5 authors at 2 institutions in 1 country.

Shinichi OkuzumiDepartment of Medicine, Hino Municipal Hospital, Japan.
Hiraku SuzukiDepartment of Medicine, Hino Municipal Hospital, Japan.
Shojiroh MorinagaDepartment of Diagnostic Pathology, Hino Municipal Hospital, Japan.
Masaki TamuraDepartment of Respiratory Medicine, Kyorin University, School of Medicine, Japan.
Naoto MinematsuDepartment of Medicine, Hino Municipal Hospital, Japan.
Nagano Municipal Hospital · JPKyorin University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal-epithelial transition (MET) exon 14-skipping mutation (METex14) is rare in pulmonary invasive mucinous adenocarcinomas (IMAs), and the clinical impact of MET-tyrosine kinase inhibitors (TKIs) remains unknown. We herein report a 75-year-old woman with IMA harboring METex14 who was treated with the MET-TKI tepotinib. The lung tumor regressed over six months; however, the patient ultimately died of exacerbated interstitial lung disease (ILD), possibly associated with tepotinib. An autopsy revealed diffuse alveolar damage in pre-existing chronic fibrosis. We discuss how to pre-evaluate ILD deterioration risks and monitor TKI-induced lung toxicity during treatment.

Indexed as

Adenocarcinoma, MucinousEpithelial-Mesenchymal TransitionExonsLung NeoplasmsMutationProtein Kinase InhibitorsAgedFatal OutcomeFemaleHumansLung Diseases, InterstitialProto-Oncogene Proteins c-metTyrosine Kinase InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-metTyrosine Kinase Inhibitorsinterstitial lung diseaseinvasive mucinous adenocarcinomamesenchymal-epithelial transition factorMET exon 14 skipping mutationtepotinibtyrosine kinase inhibitors

Identifiers

PMID37952955
PMCPMC11239263
OpenAlexW4388606368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.