Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
HPB (Oxford). 2013 Aug;15(8):602-10. doi: 10.1111/hpb.12017. Epub 2012 Nov 30.
Currently, no suitable biomarkers for the early detection of pancreatic cancer (PC) are available. Proteins present in the serum could reflect a state of the disease. In this study, these profiles as a diagnostic marker for PC were evaluated.
Serum samples were obtained from PC patients (n = 50 calibration set, n = 39 validation set) and healthy volunteers (n = 110 and n = 75 respectively) according to a uniform standardized collection and processing protocol. For peptide and protein isolation, automated solid-phase extraction (SPE) with Weak Cation Exchange (WCX) magnetic beads (MB) was performed using a 96-channel liquid handling platform. Protein profiles were obtained by mass spectrometry (MS) and evaluated by linear discriminant analysis with double cross-validation.
A discriminating profile for PC has been identified, with a sensitivity of 78% and a specificity of 89% in the calibration set with an area under the curve (AUC) of 90%. These results were validated with a sensitivity of 74% and a specificity of 91% (AUC 90%).
Serum profiles of healthy controls and PC can be discrimated between. Further research is warranted to evaluate specificity and whether this biosignature can be used for early detection in a high risk population.
目前，尚无用于胰腺癌（PC）早期检测的合适生物标志物。血清中的蛋白质可以反映疾病的状态。在本研究中，评估了这些谱作为 PC 的诊断标志物。
根据统一的标准化采集和处理方案，从 PC 患者（n=50 校准集，n=39 验证集）和健康志愿者（n=110 和 n=75）中获得血清样本。使用 96 通道液体处理平台进行自动固相萃取（SPE）与弱阳离子交换（WCX）磁珠（MB），用于肽和蛋白质分离。通过质谱（MS）获得蛋白质图谱，并通过双交叉验证的线性判别分析进行评估。
在校准集中，确定了用于 PC 的鉴别性图谱，其灵敏度为 78%，特异性为 89%，曲线下面积（AUC）为 90%。这些结果在验证集中得到了验证，灵敏度为 74%，特异性为 91%（AUC 为 90%）。
可以区分健康对照者和 PC 的血清图谱。需要进一步研究以评估特异性以及该生物标志物是否可用于高危人群的早期检测。
