Evidence map›Paper›PMID 40421655›Full record

ArticleThe clinical respiratory journal2025

Survival Outcomes in EGFR-Mutant Non-Small Cell Lung Cancer With Brain Metastases: Kaplan-Meier and Cox Regression Analyses Across Treatment Stages.

Haoran Qi, Qiang Qiao, Xiaorong Sun, Ligang Xing

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Haoran QiDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Qiang QiaoDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Xiaorong SunDepartment of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, Shandong, China.
Ligang XingDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-0528-9048

Funding

Department of Science and Technology of Shandong Province 2021CXGC011102National Natural Science Foundation of China 82172866
6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have shown significant efficacy in patients with brain metastases (BMs) from EGFR-mutated non-small cell lung cancer (NSCLC). However, acquired resistance is inevitable, and clinical data addressing key questions across treatment stages remain insufficient, limiting the formulation of precise treatment strategies.

methodsThis retrospective study analyzed 302 EGFR-mutant NSCLC patients with BMs treated at Shandong Cancer Hospital (2014-2022). Patients were divided into three cohorts: cohort A (first-/second-generation EGFR-TKIs without third-generation use), cohort B (first-/second-generation followed by third-generation EGFR-TKIs), and cohort C (first-line third-generation EGFR-TKIs). Survival outcomes were evaluated using Kaplan-Meier and Cox regression analyses across three treatment stages. Propensity score matching (PSM) adjusted for baseline imbalances.

resultsThird-generation EGFR-TKIs demonstrated superior progression-free survival (PFS) in first-line therapy compared to earlier-generation agents (median PFS1: 14.2 vs. 11.2 months; p = 0.0021), particularly for intracranial control (median iPFS1: 18.0 vs. 12.2 months; p = 0.0058). Patients with uncommon EGFR mutations had significantly shorter PFS on third-generation EGFR-TKIs than those with common mutations (4.4 vs. 12.9 months; p = 0.012). After resistance, combination therapy with immune checkpoint inhibitors (ICIs), antiangiogenics, and chemotherapy extended overall survival (OS) versus non-ICI regimens (median OS2: 17.3 vs. 10.4 months; p = 0.004).

conclusionsThird-generation EGFR-TKIs are effective first-line options for BMs but show limited efficacy against uncommon mutations. Post-resistance regimens integrating ICIs, antiangiogenics, and chemotherapy may improve survival. Reassessment of genetic and PD-L1 status is critical for guiding sequential therapy.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsProtein Kinase InhibitorsAdultAgedErbB ReceptorsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMutationProportional Hazards ModelsRetrospective StudiesSurvival RateEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsbrain metastasisEGFR‐TKIICIsuncommon mutation

Identifiers

PMID40421655
PMCPMC12107365

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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.