Driver genes expression and clinical characteristics of targeted therapy in non-small cell lung cancer in Yunnan-Kweichow Plateau
10.3760/cma.j.cn112152-20200323-00248
- VernacularTitle:云贵高原地区非小细胞肺癌患者靶向治疗驱动基因的表达情况和突变特征
- Author:
Yanping LIN
1
;
Quan LI
;
Luyao MA
;
Xin LIU
;
Min DAI
;
Xiaoxiong WANG
;
Hongsheng LI
;
Junxi LIU
;
Zhenghai SHEN
;
Yinjin GUO
;
Yaxi DU
;
Ruijiao YANG
;
Yunchao HUANG
;
Yongchun ZHOU
Author Information
1. 云南省肿瘤医院 云南省癌症中心办公室，昆明 650118
- Keywords:
Lung neoplasms;
Targeted therapy;
Driver gene;
Yunnan-Kweichow Plateau
- From:
Chinese Journal of Oncology
2020;42(9):735-740
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the expressions of non-small-cell lung cancer (NSCLC) driver genes and their mutation distribution characteristics in the Yunnan-Kweichow plateau, and to provide evidences for personalized molecular targeted therapy of lung cancer in high-incidence areas.Methods:A retrospective analysis was performed on the medical records of patients with NSCLC who underwent combined lung cancer 8 gene detection, including epidermal growth factor receptor (EGFR), rat sarcoma viral oncogene (RAS), anaplastic lymphoma kinase (ALK), RET proto-oncogene (RET), v-Raf murine sarcoma viral oncogene homolog (BRAF), ROS proto-oncogene 1 (ROS1), human epidermal growth factor receptor-2 (HER-2), and cellular-mesenchymal to epithelial transition factor (MET), from January 2016 to August 2019 in Yunnan Cancer Hospital. Besides, we analyzed the expressions of NSCLC driver genes and their mutation distributions.Results:The positive rate of NSCLC driver genes in Yunnan was 67.05%(1 508/2 249). The mutation rates in Xishuangbanna (76.92%), Yuxi (72.38%), Xuanwei (71.88%), Qujing (71.24%), and Honghe (71.79%) were significantly higher than other areas. The mutation rates of Hui (84.38%), Hani (85.00%), Zhuang (75.00%), Buyi (100%), Manchu (100%), Tujia (100%) and Achang (100%) are significantly higher than the minority national average. Driver gene mutations were related to gender ( P<0.001), smoking history ( P<0.001), age ( P<0.001), pathological type ( P<0.001), and whether the Xuanwei area ( P=0.027), but not related to the nationality ( P=0.748) and family history of lung cancer ( P=0.676). The mutation rates of EGFR, RAS, BRAF, HER-2 and MET genes were 44.46%, 10.98%, 1.24%, 0.89% and 0.76%, and the rearrangement rates of ALK, RET and ROS1 genes were 4.67%, 1.29% and 0.89%, respectively.The mutation rate of EGFR in females was 56.67%, which was higher than 33.19% in males ( P<0.001). The mutation rate of RAS in males was 12.66%, which was higher than 9.17% in females ( P=0.010). The mutation rate of RAS in the Han was 11.49%, which was higher than 7.17% in the minority ( P=0.032). The rate of RAS mutation in Xuanwei patients was 24.74%, significantly higher than 8.15% in non-Xuanwei area ( P<0.001), and the EGFR mutation rate was 40.63%, which was lower than 45.25% in non-Xuanwei area ( P=0.045). The rate of ALK rearrangement in Xuanwei patients was 1.56%, which was significantly lower than 5.31% in the non-Xuanwei area ( P<0.001), and no HER-2 mutation patients were detected in Xuanwei area. The mutation rate of EGFR in patients with non-smoking history was 51.10%, significantly higher than 29.70% of patients with smoking history ( P<0.001). Meanwhile, the rate of ALK rearrangement with non-smoking history patients was 5.35%, which was also higher than 3.16% of patients with smoking history ( P<0.001). The rate of RAS mutation in patients with non-smoking history was 9.34%, lower than 14.63% of patients with smoking history ( P=0.008). Conclusions:The positive rate of driven gene expression in NSCLC patients from the Yunnan-Kweichow Plateau is slightly lower than the national average. The rates of EGFR and RAS mutations are similar to the domestic average. The rates of ROS1, ALK and RET genes rearrangements and the rates of BRAF, HER2 and MET gene mutations are slightly lower than the national average. EGFR, RAS and ALK genes in the NSCLC patients from Yunnan-Kweichow Plateau have high positive rates, and display different demographic and clinical characteristics, which are of great significance in the selection of targeted therapy populations.
