Evidence map›Paper›PMID 41139406›Full record

ArticleThoracic cancer2025

Clinical Outcomes of Later-Generation EGFR-TKIs for Uncommon EGFR Mutations in NSCLC: A Multicenter Real-World Study.

Lisa Shigematsu, Tetsuo Tani, Shinnosuke Ikemura, Keiko Ohgino, Kohei Horiuchi, Taro Shinozaki, Shigenari Nukaga, Hideki Terai, Takashi Sato, Katsuhiko Naoki and 7 more

Abstract readMulticenter Study
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

17 authors.

Lisa ShigematsuDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Tetsuo TaniDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5719-2697
Shinnosuke IkemuraDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keiko OhginoDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Kohei HoriuchiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Taro ShinozakiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shigenari NukagaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Hideki TeraiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takashi SatoDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-2338-1665
Katsuhiko NaokiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Koichi SayamaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Yoshitaka OyamadaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Fumio SakamakiDivision of Pulmonary Medicine, Department of Internal Medicine, Tokai University Hachioji Hospital, Tokai University School of Medicine, Tokyo, Japan.
Kenzo SoejimaDepartment of Respiratory Medicine, Graduate School of Medicine University of Yamanashi, Chuo, Japan.
Hiroyuki YasudaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Koichi FukunagaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keio Lung Oncology Group (KLOG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncommon EGFR mutations, including G719X, L861Q, S768I, and compound mutations, present therapeutic challenges due to limited prospective evidence and variable drug sensitivity. Although later-generation (i.e., second- and third-) EGFR-TKIs have shown benefit in some subtypes, real-world data is limited.

methodsWe retrospectively analyzed patients with advanced or recurrent NSCLC harboring uncommon EGFR mutations diagnosed between 2014 and 2019 at Keio University Hospital and affiliated hospitals. Clinical data were updated through May 2023. EGFR mutations were detected using commercial assays. Common mutations and exon 20 insertions were excluded unless coexisting as compound mutations. Survival outcomes were estimated using the Kaplan-Meier method and compared by log-rank test; hazard ratios were calculated using the Cox proportional hazards model. Swimmer plots depicted treatment duration by subtype and EGFR-TKI agents.

resultsAmong 35 patients, G719X was the most frequently detected mutation, followed by L861Q and S768I. In addition to these single mutations, various compound mutations involving combinations of G719X, L861Q, S768I, and other rare variants were also observed. While first-generation EGFR-TKIs were frequently used initially, 71% of patients eventually received a later-generation EGFR-TKI. These patients had significantly longer OS (47.7 vs. 15.5 months; p = 0.0177). Multivariate analysis identified non-use of later-generation EGFR-TKIs, liver metastases, and poor performance status as independent poor prognostic factors. Afatinib showed favorable treatment duration in G719X and compound mutations.

conclusionsLater-generation EGFR-TKIs were associated with improved outcomes in patients with uncommon EGFR mutations, with afatinib showing favorable treatment duration in G719X and compound subtypes.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMutationProtein Kinase InhibitorsAdultAgedAged, 80 and overErbB ReceptorsFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsafatinibNSCLCosimertinibreal‐world datauncommon EGFR mutations

Identifiers

PMID41139406
PMCPMC12554367

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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.