Wang Lei, Meng Long, Wang Xing-wen, Ma Guo-yuan, Chen Jing-han
Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250021, China.
Tumour Biol. 2014 Mar;35(3):1899-906. doi: 10.1007/s13277-013-1255-4. Epub 2013 Oct 24.
The aim of this study was to examine the prognostic value of BRCA1, RRM1, and RRM2 in patients with non-small cell lung cancer (NSCLC) who received adjuvant chemotherapy. A total of 418 patients who underwent curative pulmonary resection were obtained between January 2007 and November 2009. The relative cDNA quantification for BRCA1, RRM1, and RRM2 was conducted using a fluorescence-based, real-time detection method, and β-actin was used as a reference gene. The low expression of RRM1 and RRM2 significantly increased the platinum-based chemotherapy response (For RRM1: odds ratio (OR) = 2.09, 95% confidence interval (CI) = 1.38-3.18; For RRM2: OR = 1.64, 95% CI = 1.09-2.48). The univariate analysis indicated that low expression of RRM1 attained a longer time to progression and overall survival time, with HR (95% CI) of 0.50 (0.33-0.77) and 0.60 (0.39-0.92), respectively. Similarly, low expression of RRM2 had a longer time to progression and overall survival, with HR (95% CI) of 0.57 (0.38-0.86) and 0.47 (0.31-0.71), respectively. In conclusion, low expression of RRM1 and RRM2 could be used to predict the treatment response to platinum-based chemotherapy and survival in NSCLC. The RRM1 and RRM2 could substantially contribute to the future design of individualized cancer treatment in NSCLC patients.
本研究旨在探讨BRCA1、RRM1和RRM2在接受辅助化疗的非小细胞肺癌(NSCLC)患者中的预后价值。2007年1月至2009年11月期间,共纳入418例行根治性肺切除术的患者。采用基于荧光的实时检测方法对BRCA1、RRM1和RRM2进行相对cDNA定量分析,并以β-肌动蛋白作为参照基因。RRM1和RRM2低表达显著提高了铂类化疗反应(RRM1:比值比(OR)=2.09,95%置信区间(CI)=1.38-3.18;RRM2:OR=1.64,95%CI=1.09-2.48)。单因素分析表明,RRM1低表达的患者疾病进展时间和总生存时间更长,风险比(HR)(95%CI)分别为0.50(0.33-0.77)和0.60(0.39-0.92)。同样,RRM2低表达的患者疾病进展时间和总生存时间更长,HR(95%CI)分别为0.57(0.38-0.86)和0.47(0.31-0.71)。总之,RRM1和RRM2低表达可用于预测NSCLC患者对铂类化疗的治疗反应和生存情况。RRM1和RRM2可为未来NSCLC患者个体化癌症治疗方案的设计提供重要依据。