Evidence map›Paper›PMID 42120295›Full record

ArticleBrain tumor research and treatment2026

Prognostic Value of EGFR Mutation Subtypes After Linac-Based Stereotactic Radiosurgery or Fractionated Stereotactic Radiotherapy for Brain Metastasis From EGFR-Mutated Non-Small Cell Lung Cancer.

Ryosuke Matsuda, Shigeto Hontsu, Tetsuro Tamamoto, Nobuyoshi Inooka, Akihiro Doi, Kaori Yamaki, Sachiko Miura, Ryosuke Maeoka, Tsutomu Nakazawa, Tomoko Ochi and 7 more

Abstract read
In one paragraph

Article in Brain tumor research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryosuke MatsudaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan. rmatsudap@naramed-u.ac.jp.ORCID https://orcid.org/0000-0002-0307-3657
Shigeto HontsuDepartment of Respiratory Medicine, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0009-0009-3276-4033
Tetsuro TamamotoDepartment of Radiation Oncology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0009-0009-0806-7959
Nobuyoshi InookaDepartment of Radiation Oncology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-7058-8431
Akihiro DoiDepartment of Internal Medicine, Heisei Memorial Hospital, Kashihara, Japan.ORCID https://orcid.org/0009-0004-9504-3288
Kaori YamakiDepartment of Radiation Oncology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0003-2999-4494
Sachiko MiuraDepartment of Radiation Oncology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0001-5279-2431
Ryosuke MaeokaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0003-1441-838X
Tsutomu NakazawaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0003-4286-9356
Tomoko OchiDepartment of Radiology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-0224-3861
Toshiteru MiyasakaDepartment of Radiology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-0551-0929
Yasuhiro TakeshimaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-5438-6098
Shuichi YamadaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-7278-3978
Fumihiko NishimuraDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-9962-7852
Young-Soo ParkDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0003-2271-1332
Fumiaki IsohashiDepartment of Radiation Oncology, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0001-6342-4693
Ichiro NakagawaDepartment of Neurosurgery, Nara Medical University, Kashihara, Japan.ORCID https://orcid.org/0000-0002-1340-3293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the differences in common types of epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) with brain metastasis (BM) treated using linear accelerator-based stereotactic radiosurgery (SRS) and fractionated stereotactic radiotherapy (fSRT).

methodsBetween January 2011-December 2023, among 294 consecutive patients with BM from NSCLC, 84 patients with EGFR-mutated NSCLC were enrolled in this study.

resultsThe median follow-up time after SRS/fSRT was 20.1 months (range: 0.6-109.7 months), while the median overall survival (mOS) after SRS/fSRT was 25.1 months (95% confidence interval [CI]: 18.4-33.5 months). The mOS after initial treatment for NSCLC was 56.2 months (95% CI: 41.7-77.0 months). The mOS after SRS/fSRT in 34 patients with exon 19 deletions and 45 patients with exon 21 mutations with L858R was 20.4 months (95% CI: 13.6-55.9 months) and 28.5 months (95% CI: 16.2-33.5). The two groups showed no difference in the mOS. In univariate analyses using the Cox proportional hazards model, no prognostic factors associated with prolonged survival were identified except for good pretreatment Karnofsky Performance Status score and no prior tyrosine kinase inhibitor use before SRS/fSRT in EGFR-mutated NSCLC. There was no difference in both distant failure and local control in the two groups.

conclusionThe difference in survival between EGFR subtypes (exon 21 L858R mutations vs. exon 19 deletion) was not observed after SRS/fSRT in NSCLC.

Indexed as

Brain metastasisEGFR mutationNon-small cell lung cancerStereotactic radiosurgery

Identifiers

PMID42120295
PMCPMC13175687

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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.