Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Cancer Med. 2013 Apr;2(2):234-42. doi: 10.1002/cam4.71. Epub 2013 Mar 6.
A novel combination of capecitabine, oxaliplatin, and bevacizumab was evaluated in colorectal cancer patients enrolled in a phase II clinical trial. In this retrospective analysis, plasma samples from patients receiving capecitabine, oxaliplatin, and bevacizumab were analyzed to investigate biomarkers of clinical benefit. Forty-one protein biomarkers were tested in 38 patients at baseline and after two cycles of drug administration. Correlations among analytes were evaluated by Spearman analysis. Analyte levels at baseline and changes on-treatment were correlated with progression-free survival (PFS) and overall survival (OS) by univariate analysis. Multivariate analyses were determined using the Cox proportional hazard model. Time to event analyses were evaluated by Kaplan-Meier analysis and compared by log-rank test. Baseline levels of vWF and Ang-2 significantly correlated with PFS, while levels of VCAM-1, vWF, TSP-2, IL-8, MMP-2, and Ang-2 correlated with OS (P < 0.05). The fold change of IGF-1 levels from baseline to the end of cycle 2 was correlated with PFS, while fold changes of Ang-2, TSP-2, and TGF-β2 correlated with OS. A baseline signature of Ang-2, IGFBP-3, IL-6, and VCAM-1 identified a low-risk and high-risk group of patients (OS: 33.9 months vs. 18.1 months, respectively, P = 0.016). For treatment-related changes, a signature consisting of Ang-2, E-Cadherin, IL-6, MCP-1, OPN, and TGF-β1 was able to stratify patients into high- and low-risk groups (PFS: 7.7 months vs. 15.5 months, P = 0.004). Multiplex analysis of patient plasma in this trial identified several baseline- and treatment-related biomarkers associated with clinical outcome. These findings merit further exploration in larger, controlled clinical trials.
一项卡培他滨、奥沙利铂和贝伐珠单抗联合治疗转移性结直肠癌的Ⅱ期临床试验中,对患者的血浆样本进行了分析,以寻找预测疗效的生物标志物。在这项回顾性分析中,对 38 例患者的基线和两周期治疗后血浆样本进行了 41 种蛋白生物标志物检测。采用 Spearman 分析评估分析物之间的相关性。单因素分析评估了基线时和治疗期间变化与无进展生存期(PFS)和总生存期(OS)的相关性。采用 Cox 比例风险模型进行多因素分析。采用 Kaplan-Meier 分析评估时间事件,并采用对数秩检验进行比较。基线 vWF 和 Ang-2 水平与 PFS 显著相关,而 VCAM-1、vWF、TSP-2、IL-8、MMP-2 和 Ang-2 水平与 OS 相关(P < 0.05)。从基线到第 2 周期结束时 IGF-1 水平的变化与 PFS 相关,而 Ang-2、TSP-2 和 TGF-β2 的变化与 OS 相关。基线 Ang-2、IGFBP-3、IL-6 和 VCAM-1 特征可以识别低危和高危患者(OS:33.9 个月和 18.1 个月,P = 0.016)。对于治疗相关的变化,由 Ang-2、E-钙黏蛋白、IL-6、MCP-1、OPN 和 TGF-β1 组成的特征可以将患者分层为高危和低危组(PFS:7.7 个月和 15.5 个月,P = 0.004)。该试验患者血浆的多重分析确定了一些与临床结局相关的基线和治疗相关的生物标志物。这些发现值得在更大规模的对照临床试验中进一步探索。