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  2. College of Medicine /醫學院
  3. Institute of Medicine/醫學研究所
  4. Applying next-generation sequencing to predict short progression-free survival in patients with advanced EGFR-mutant lung adenocarcinoma receiving epidermal growth factor receptor tyrosine kinase inhibitors
 
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Applying next-generation sequencing to predict short progression-free survival in patients with advanced EGFR-mutant lung adenocarcinoma receiving epidermal growth factor receptor tyrosine kinase inhibitors

Journal
Anti-Cancer Drugs
Journal Volume
36
Journal Issue
10
Start Page
839-845
ISSN
0959-4973
1473-5741
Date Issued
2025-08-08
Author(s)
Po-Hsin Lee
Yi-Chun Hsiao
Yen-Hsiang Huang
Kuo-Hsuan Hsu
Jeng-Sen Tseng
Ho Lin
Gee-Chen Chang  
Tsung-Ying Yang
DOI
10.1097/CAD.0000000000001762
URI
https://scholars.csmu.edu.tw/handle/123456789/5436
Abstract
<jats:p>For patients with advanced <jats:italic toggle="yes">EGFR</jats:italic>-mutant lung adenocarcinoma, progression-free survival (PFS) is significantly improved by epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) medications. However, a subset of patients still experiences early disease progression. In this study, we aimed to identify potential risk factors associated with shorter PFS through next-generation sequencing (NGS) analysis. This retrospective study included patients with advanced <jats:italic toggle="yes">EGFR</jats:italic>-mutant lung adenocarcinoma who received first-line EGFR-TKI treatment with upfront NGS. The genetic alterations included two types, mutations and copy number variations. Alterations involving <jats:italic toggle="yes">EGFR</jats:italic> downstream signaling pathways were classified as ‘<jats:italic toggle="yes">PIK3CA-AKT/RAS-RAF</jats:italic> alterations’. Clinical and histopathological data were also collected and analyzed. We studied a total of 82 advanced lung cancer patients with sensitive <jats:italic toggle="yes">EGFR</jats:italic> mutations. Multivariable analyses showed associations with a shorter PFS for the following factors: P<jats:italic toggle="yes">IK3CA-AKT/RAS-RAF</jats:italic> alterations [hazard ratio (HR) 3.197, <jats:italic toggle="yes">P</jats:italic> = 0.006], age ≤50 (HR 3.034, <jats:italic toggle="yes">P</jats:italic> = 0.010), and PD-L1 ≥50% (HR 2.256, <jats:italic toggle="yes">P</jats:italic> = 0.035). Based on the above risk factors, patients were classified into no-risk and ≥1 risk groups. In the no-risk group, third-generation EGFR-TKIs showed a numerically longer PFS compared to first/second-generation EGFR-TKIs (not reached vs. 20.0 months, <jats:italic toggle="yes">P</jats:italic> = 0.084). However, in patients with ≥1 risk factor, third-generation EGFR-TKIs showed no PFS advantages (6.6 vs. 6.2 months, <jats:italic toggle="yes">P</jats:italic> = 0.831). In conclusion, besides clinicopathological factors, NGS provides additional insights to predict shorter PFS after EGFR-TKI treatment. We identified three risk factors: (1) <jats:italic toggle="yes">PIK3CA-AKT/RAS-RAF</jats:italic> alterations, (2) age ≤50, and (3) PD-L1 ≥50%. Patients with these factors had poor PFS regardless of EGFR-TKI generation.</jats:p>
SDGs

[SDGs]SDG3

Publisher
Ovid Technologies (Wolters Kluwer Health)
Type
journal-article
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