Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Pancreas. 2010 Nov;39(8):1293-8. doi: 10.1097/MPA.0b013e3181dfcbe5.
To establish new biomarkers for accurate diagnosis of pancreatic cancer (PC) using a standardized serum peptidome profiling and compare the results with those from the tumor marker, CA 19-9.
Serum samples from 102 patients (55 with chronic pancreatitis and 47 with PC) and 56 healthy controls were collected and analyzed following a protocol that was rigorously designed to prevent preanalytical variation. Serum peptides were extracted using immobilized copper ion chromatography on a robotic platform. Mass spectra were acquired by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry on an Autoflex II spectrometer (Bruker Daltonics, Bremen, Germany). Statistical analysis was performed using the Clinprotools 2.2 software (Bruker Daltonics) and the SPSS 15.0 software (SPSS Inc, Chicago, Ill).
Standardized peptidome profiling showed a median coefficient of variation of 11.6% calculated using all the extracted peptides and negligible influence of sex and age on peptidome profiles. The diagnostic sensitivity was 89.9%, and the diagnostic specificity was 92.7%, using 2 serum features and CA 19-9 serum concentration. Healthy controls were differentiated from patients with PC and chronic pancreatitis, with the use of 3 features of the peptidome (diagnostic sensitivity, 98.2%; diagnostic specificity, 97.1%).
Standardized serum peptidome profiling could be a useful tool to improve biochemical diagnosis of PC in combination with the classic tumor marker, CA 19-9.
使用标准化血清肽谱分析建立新的生物标志物，以准确诊断胰腺癌（PC），并将结果与肿瘤标志物 CA 19-9 进行比较。
收集了 102 例患者（55 例慢性胰腺炎，47 例 PC）和 56 例健康对照者的血清样本，并按照严格设计的方案进行分析，以防止分析前的变异。使用固定化铜离子色谱法在机器人平台上提取血清肽。基质辅助激光解吸/离子化飞行时间质谱法在 Autoflex II 光谱仪（Bruker Daltonics，不来梅，德国）上采集质谱。使用 Clinprotools 2.2 软件（Bruker Daltonics）和 SPSS 15.0 软件（SPSS Inc，芝加哥，伊利诺伊州）进行统计分析。
使用所有提取的肽计算，标准化肽谱分析显示中位数变异系数为 11.6%，性别和年龄对肽谱的影响可忽略不计。使用 2 种血清特征和 CA 19-9 血清浓度，诊断灵敏度为 89.9%，诊断特异性为 92.7%。使用肽谱的 3 种特征，可将健康对照者与 PC 和慢性胰腺炎患者区分开来（诊断灵敏度为 98.2%，诊断特异性为 97.1%）。
标准化血清肽谱分析可能是一种有用的工具，可与经典肿瘤标志物 CA 19-9 结合，改善 PC 的生化诊断。
