ArticleAnnals of surgical oncology2025
EGFR Mutation Rates Correlate with Age at Diagnosis and Tumor Characteristics in Patients with Pulmonary Ground-Glass Opacities.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Decoding Malignant Lung Ground Glass Opacities: A Radiologic-Pathologic Study From Pure to Semi-Solid Lesions.Thoracic cancer · 2026Article
- Age-Associated Targetable Genomic Alterations and PD-L1 Expression in 2509 Patients With Pulmonary Ground-Glass Opacities.Cancer medicine · 2026Article
- Article
- The correlation between EGFR mutation status and clinicopathological characteristics, Ki67 expression and immune cell infiltration in lung adenocarcinoma with different radiological subtypes.World journal of surgical oncology · 2025Article
- Evaluation of PD-L1 Expression and Anti-Medicina (Kaunas, Lithuania) · 2025Article
- ASO Author Reflections: What are the Prognostic Factors for Achieving Long-Term Survival in MPM Patients Treated with CRS+HIPEC? Does the Conditional Survival Analysis Provide Special Information?Annals of surgical oncology · 2025Article
- ASO Author Reflections: The Necessity of Computed Tomography in Detecting Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma.Annals of surgical oncology · 2025Article
- Young lung cancer: from diagnosis to survivorship.Frontiers in oncology · 2025Review
- Predicting EGFR gene mutation in lung adenocarcinoma using spectral CT combined with AI parameters: a diagnostic accuracy study.Frontiers in oncology · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundTo clearly reveal the correlations between tumor characteristics, age at diagnosis, and epidermal growth factor receptor (EGFR) mutation rates in patients with pulmonary ground-glass opacities (GGOs).
methodsWe retrospectively reviewed 1473 patients with GGOs between January 2015 and May 2020 from two cancer centers. The tumor characteristics and EGFR mutation rates were compared between different age groups. Multivariate logistic regression was fitted to analyze the relationship between age, tumor characteristics, and EGFR mutation rates.
resultsThe older patients had more large tumors, mixed GGOs with a consolidation-to-tumor ratio (CTR) of >0.5, and invasive adenocarcinoma (IAC) and pathologic stage IA2-IB. Overall, the rate of EGFR mutations in GGOs was 57.3% and the main subtypes were L858R and 19del mutations. The distribution of EGFR subtypes varied in different age and GGO diameter groups. Age (p = 0.036), GGO types (p = 0.005), tumor diameter (p = 0.039), and pathological types (p < 0.001) were significant predictors for EGFR mutation status. Importantly, significant differences in EGFR mutation rates between age groups were mainly observed in the GGO ≤2 cm diameter (p < 0.001), pure GGOs (p = 0.001), and IAC (p = 0.039) cohorts. Overall, those diagnosed at >50 years of age had a 47.0% increased likelihood of harboring EGFR mutations. Compared with the older group, the increased chance of harboring EGFR mutations for patients with larger tumors, mixed GGOs, and IAC was greater in the younger group.
conclusionsThe EGFR mutation rates were varied among different tumor characteristics and age at diagnosis. These findings provide new insights into the treatment of GGOs.
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