Cargando…

Gene Mutation and Its Association with Clinicopathological Features in Young Patients with Non-Small-Cell Lung Cancer

BACKGROUND: We investigated the correlation between genetic mutations and clinical-pathological features in young patients with NSCLC. METHODS: Clinicopathologic information of 102 young NSCLC patients was collected. Direct ctDNA sequencing of a portion of these patients was performed. The correlati...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Wencui, Yu, Zongyang, Wang, Wenwu, Yang, Jingrong, Wang, Jingfang, Zhao, Zhongquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277188/
https://www.ncbi.nlm.nih.gov/pubmed/35844466
http://dx.doi.org/10.1155/2022/6333282
Descripción
Sumario:BACKGROUND: We investigated the correlation between genetic mutations and clinical-pathological features in young patients with NSCLC. METHODS: Clinicopathologic information of 102 young NSCLC patients was collected. Direct ctDNA sequencing of a portion of these patients was performed. The correlation between EGFR mutation and ALK fusions with clinicopathologic parameters was analyzed. RESULTS: In young NSCLC patients, adenocarcinoma is the major histology (86.9%), and the misdiagnosis rate was as high as 45.7%. EGFR gene mutation was found in 13 patients (31.7%) and common mutations were with EGFR19del mutation (7 cases, 17.1%) and EGFR21L858R mutation (4 patients, 9.7%). EGFR mutation was constantly found in adenocarcinoma and male gender, and ever smokers (100%, P < 0.05). Furthermore, ALK fusions were found in 7 patients (31.8%), which include EML-4-ALK fusions; there was a trend that ALK fusions were associated with adenocarcinoma and female gender. However, there was no significant difference in overall survival between patients with or without gene mutations. CONCLUSIONS: EGFR mutation and ALK fusions are related to histology, gender, and smoke exposure in young NSCLC patients, and may be effective predictive factors.