Correlation analysis between EGFR gene mutation status, ALK positivity and demographic data, tumor biomarkers, radiological and pathological features in patients with lung adenocarcinoma

腺癌 病态的 医学 肺癌 肺腺癌 放射性武器 病理 外显子 磨玻璃样改变 突变 基因突变 放射科 肿瘤科 免疫组织化学 内科学 肺肿瘤
作者
Xue Fei Zhang,Xu Zhang,Liang Zhao,Zhi Long Zhao,Xue Fei Zhang,Xu Zhang,Liang Zhao,Zhi Long Zhao
出处
期刊:Frontiers in Oncology [Frontiers Media]
卷期号:15
标识
DOI:10.3389/fonc.2025.1627019
摘要

Objective This study aimed to explore the relationship between EGFR mutations, ALK positivity, and demographic, tumor, radiological, and pathological characteristics in lung adenocarcinoma patients. Methods This study included 626 patients with early-stage lung adenocarcinoma who underwent surgical resection between October 2017 and December 2023.EGFR and ALK mutations were analyzed postoperatively. Clinical, pathological, and imaging features such as gender, age, smoking status, and tumor characteristics were assessed. Patients were categorized based on their mutation status, and comparisons were made regarding their clinical and imaging features. Results Results indicated that EGFR-positive patients were predominantly female, younger, and had a higher frequency of non-smokers compared to the wild-type (WT) group. EGFR mutations, particularly the exon 19 deletions and L858R mutations, were more common in patients with moderate differentiation and lepidic or acinar predominant histological subtypes. CT imaging revealed that EGFR-positive tumors were smaller in size and had fewer solid components compared to WT tumors. Additionally, certain CT features such as the spicule sign and air bronchogram were significantly associated with EGFR mutations. For ALK mutations, the analysis showed that patients with ALK-positive tumors had distinct radiological features, including a higher occurrence in the lower lobes and fewer ground glass nodules compared to the WT group. Conclusions The study concluded that specific radiological and pathological characteristics, along with EGFR and ALK mutation statuses, could be used to guide the treatment and diagnosis of lung adenocarcinoma.
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