Local Therapy Combined With First-Line EGFR Tyrosine Kinase Inhibitor Achieves Favorable Survival in Patients With EGFR-Mutant Metastatic Non-Small Cell Lung Cancer.

Abstract

BACKGROUND:

EGFR tyrosine kinase inhibitor (TKI) is recommended as the first-line therapy for patients with EGFR-mutant metastatic non-small cell lung cancer (NSCLC). Yet, resistance often occurs in 1 year after therapy and most progressions occur at the initial sites of disease. Addition of local therapy to the first-line TKI therapy may delay the progression and provide survival benefit to the patients.

METHODS:

From 2010 to 2017, metastatic NSCLC patients with EGFR activating mutations who received first-line TKI and relatively radical local therapy (RRLT) were reviewed. RRLT was defined as local curative therapy to the main site or any intensity of local therapy to all sites of disease. The Kaplan-Meier method and log-rank test were used for survival estimation and comparison.

RESULTS:

A total of 45 patients were included in this retrospective study with a median follow-up of 48.0 months. The median progression-free survival (PFS) and overall survival (OS) was 17.0 months (95% confidence interval [CI]: 14.6-19.3) and 55.0 months (95% CI: 49.3-60.6), respectively. Univariate analysis indicated that age ⩽ 60 years (P = .019), first-line TKI duration ⩾ 10 months (P = .028), and accumulated TKI duration ⩾ 20 months (P = .016) were significantly associated with favorable OS. Among the 36 patients who progressed during the follow-up, 55.8% of the progressions occurred at the new sites. RRLT combined with TKI did not show any severe toxicity to the patients.

CONCLUSIONS:

Combined application of RRLT and first-line TKI may improve the survival and alter the pattern of failure for metastatic NSCLC patients with EGFR activating mutations.

• Authors: Xiaotong Lu, Jingbo Wang, Chunyu Wang, Jun Liang, Zongmei Zhou, Dongfu Chen, Qinfu Feng, Zefen Xiao, Zhouguang Hui, Jima Lu, Tao Zhang, Wenyang Liu, Jianyang Wang, Xin Wang, Lei Deng, Yirui Zhai, Nan Bi, Luhua Wang
• Journal: Clinical Medicine Insights. Oncology (Clin Med Insights Oncol) Vol. 16 Pg. 11795549221080347 ( 2022) ISSN: 1179-5549 [Print] United States
• PMID: 35250326 (Publication Type: Journal Article)
• Copyright: © The Author(s) 2022.