OBJECTIVES: This study aimed to evaluate the correlation between positive PD-L1 expression and driver gene mutations in NSCLC and to seek preliminary evidence in favor of the strategy of PD-L1 inhibitors plus targeted agents. RESULTS: The overall analyses revealed that positive PD-L1 expression had a significant relationship with KRAS status (RR = 1.26; 95% CI, 1.06-1.50, P = 0.010), but no correlation with clinical characteristics (gender, smoking status, histological types), driver gene status (EGFR, ALK) and overall survival (OS): male versus female (RR = 1.16; 95% CI, 0.95-1.42; P = 0.15), never smoking versus former/current smoking (RR = 0.79; 95% CI, 0.56-1.11; P = 0.17), adenocarcinoma versus non-adenocarcinoma (RR = 0.94; 95% CI, 0.63-1.41; P = 0.77), EGFR mutation versus EGFR wild type (RR = 0.74; 95% CI, 0.52-1.06; P = 0.10), ALK positive versus ALK negative (RR = 1.02; 95% CI, 0.75-1.38; P = 0.91), OS of positive PD-L1 expression versus that of negative PD-L1 expression (HR = 1.31, 95% CI, 0.90-1.90; P = 0.15), respectively. Noteworthily, subgroup analyses exhibited that in Chinese cohort studies, positive PD-L1 expression was significantly correlated with OS (HR = 1.75, 95% CI, 1.36-2.24, P < 0.0001); and in the studies using PD-L1 monoclonal antibodies (McAbs), positive PD-L1 expression was significantly correlated with KRAS mutation (RR = 1.32, 95% CI, 1.06-1.65, P = 0.01) and EGFR mutation (RR = 0.51, 95% CI, 0.28-0.93, P = 0.03). MATERIALS AND METHODS: After thoroughly searching PubMed, EMBASE and Cochrane Library databases, 11 relevant studies incorporating 3128 cases were identified. The pooled data were analyzed via Review manager 5.3 software. CONCLUSIONS: PD-L1 inhibitors probably was a potential promising option to manage advanced NSCLC harboring KRAS mutation.
The correlation between programmed death-ligand 1 expression and driver gene mutations in NSCLC.
非小细胞肺癌中程序性死亡配体 1 表达与驱动基因突变的相关性
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作者:Yang Haitao, Chen Huijuan, Luo Shuimei, Li Lina, Zhou Sijing, Shen Ruifen, Lin Heng, Xie Xianhe
| 期刊: | Oncotarget | 影响因子: | 0.000 |
| 时间: | 2017 | 起止号: | 2017 Apr 4; 8(14):23517-23528 |
| doi: | 10.18632/oncotarget.15627 | 研究方向: | 细胞生物学 |
| 疾病类型: | 肺癌 | ||
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