Raz Dan J, Ray M Roshni, Kim Jae Y, He Biao, Taron Miquel, Skrzypski Marcin, Segal Mark, Gandara David R, Rosell Rafael, Jablons David M
Thoracic Oncology Program, Department of Surgery, University of California, San Francisco, San Francisco, California 94131, USA.
Clin Cancer Res. 2008 Sep 1;14(17):5565-70. doi: 10.1158/1078-0432.CCR-08-0544.
Clinical staging does not adequately risk stratify patients with early stage non-small cell lung cancer. We sought to generate a real-time PCR (RT-PCR)-based prognostic model in patients with early stage lung adenocarcinoma, the dominant histology of lung cancer in the United States.
We studied gene expression of 61 candidate genes in 107 patients with completely surgically resected lung adenocarcinoma using RT-PCR. We used crossvalidation methods to select and validate a prognostic model based on the expression of a limited number of genes. A risk score was generated based on model coefficients, and survival of patients with high- and low-risk scores were analyzed.
We generated a four-gene model based on expression of WNT3a, ERBB3, LCK, and RND3. Risk score predicted mortality better than clinical stage or tumor size (adjusted hazard ratio, 6.7; 95% confidence interval, 1.6-28.9; P=0.001). Among 70 patients with stage I disease, 5-year overall survival was 87% among patients with low-risk scores, and 38% among patients with high-risk scores (P=0.0002). Among all patients, 5-year overall survival was 62% and 41%, respectively (P=0.0054). Disease-free survival was also significantly different among low- and high-risk score patients.
This multigene assay predicts overall and disease-free survival significantly better than clinical stage and tumor size in patients with early stage lung adenocarcinoma and performs especially well in patients with stage I disease. Prospective clinical trials are needed to determine whether high-risk patients with stage I disease benefit from adjuvant chemotherapy.
临床分期无法充分对早期非小细胞肺癌患者进行风险分层。我们试图为早期肺腺癌患者建立一种基于实时荧光定量聚合酶链反应(RT-PCR)的预后模型,肺腺癌是美国肺癌的主要组织学类型。
我们使用RT-PCR研究了107例接受完全手术切除的肺腺癌患者中61个候选基因的基因表达。我们使用交叉验证方法来选择和验证基于有限数量基因表达的预后模型。根据模型系数生成风险评分,并分析高风险和低风险评分患者的生存率。
我们基于WNT3a、ERBB3、LCK和RND3的表达生成了一个四基因模型。风险评分预测死亡率的效果优于临床分期或肿瘤大小(校正风险比,6.7;95%置信区间,1.6 - 28.9;P = 0.001)。在70例I期疾病患者中,低风险评分患者的5年总生存率为87%,高风险评分患者为38%(P = 0.0002)。在所有患者中,5年总生存率分别为62%和41%(P = 0.0054)。低风险和高风险评分患者的无病生存率也有显著差异。
这种多基因检测在预测早期肺腺癌患者的总生存率和无病生存率方面明显优于临床分期和肿瘤大小,在I期疾病患者中表现尤其出色。需要进行前瞻性临床试验来确定I期疾病的高风险患者是否能从辅助化疗中获益。