Assessing mutation-clinical correlations and treatment outcomes in Vietnamese non-small cell lung cancer patients

评估越南非小细胞肺癌患者的突变-临床相关性及治疗结果

阅读:4

Abstract

INTRODUCTION: This study examines the genetic and clinical profiles of Vietnamese patients with non-small cell lung cancer (NSCLC), focusing on mutations in seven driver genes: EGFR, KRAS, NRAS, BRAF, ALK, ROS1, and PIK3CA. The goal is to identify mutation patterns and their correlations with clinical factors, thereby informing personalized treatment strategies. MATERIALS AND METHODS: A cross-sectional study of 299 NSCLC patients at the University Medical Center, Ho Chi Minh City (2019-2022) recorded demographics, smoking history, and tumor stage. Pre-treatment samples were analyzed via massively parallel sequencing, and survival analysis assessed the impact of EGFR/KRAS mutations on survival and TKI response. RESULTS: Most patients (88.6 %) were diagnosed at stage IV. EGFR mutations were found in 43.5 % of cases, predominantly in female non-smokers, while KRAS mutations (15.4 %) were more common in male smokers. EGFR exon 19 deletions (46.3 %) and L858R (39.0 %) were the most frequent, with KRAS G12C (29.8 %) as the dominant variant. EGFR-mutant patients treated with TKIs had significantly longer survival (p = 0.027); however, no survival difference was observed between the EGFR- and KRAS-mutated groups. Co-mutations (3.7 %) were rare but may indicate resistance. Logistic regression confirmed EGFR mutations' association with female non-smokers and KRAS mutations with male smokers. CONCLUSIONS: Genetic profiling in Vietnamese NSCLC patients reveals a high prevalence of actionable driver mutations, supporting the integration of routine molecular testing into NSCLC management. EGFR-mutated patients derive significant benefits from TKI therapy, underscoring the importance of personalized treatment strategies. Further research is needed to investigate resistance mechanisms and refine targeted therapeutic approaches.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。