Ornstein David K, Tyson Darren R
Department of Urology, The University of California-Irvine, Orange, CA 92868, USA.
Urol Oncol. 2006 May-Jun;24(3):231-6. doi: 10.1016/j.urolonc.2005.11.035.
Molecular profiling studies of human prostate cancer provide great opportunities to identify new prostate cancer biomarkers to improve prostate cancer detection and treatment. Proteomics has distinct advantages over genomic and ribonucleic acid expression studies because it is the proteins that are ultimately responsible for the malignant phenotype. The goal of traditional proteomic studies is to identify disease-specific biomarkers. Two-dimensional (2-D) gel electrophoresis (polyacrylamide gel electrophoresis; PAGE) coupled with mass spectrometry is the most widely used experimental strategy and, to date, has yielded several potentially relevant prostate cancer biomarkers. A promising prostate cancer biomarker identified by 2-D PAGE and mass spectrometry is annexin I. Studies have already confirmed that annexin I is underexpressed in a majority of early stage prostate cancers. Other non-gel-based proteomic technologies that may have improved sensitivity as compared to 2-D PAGE have recently been developed. An example of this is the ProteomeLab PF 2-D (Beckman Coulter, Inc., Fullerton, CA). The goal of most proteomic studies is to identify biomarkers that can be measured by enzyme-linked immunosorbent assay or immunohistochemistry. Improvements in proteomic technology may be changing this paradigm because there are now efforts to develop proteomic technologies directly into clinical diagnostic tests. An example of this technology is surface-enhanced laser desorption ionization time-of-flight mass spectrometry. Using this technology combined with a pattern recognition based bioinformatics tool, discriminatory spectrum proteomic profiles were generated that could help discriminate men with prostate cancer from those with benign prostates. If several technologic hurdles can be overcome, it is possible that methodology will improve the specificity and sensitivity of prostate cancer detection.
对人类前列腺癌的分子特征研究为识别新的前列腺癌生物标志物以改善前列腺癌的检测和治疗提供了巨大机遇。蛋白质组学相对于基因组和核糖核酸表达研究具有明显优势,因为最终是蛋白质决定了恶性表型。传统蛋白质组学研究的目标是识别疾病特异性生物标志物。二维(2-D)凝胶电泳(聚丙烯酰胺凝胶电泳;PAGE)结合质谱是应用最广泛的实验策略,迄今为止已产生了几种潜在相关的前列腺癌生物标志物。通过二维PAGE和质谱鉴定出的一种有前景的前列腺癌生物标志物是膜联蛋白I。研究已经证实,膜联蛋白I在大多数早期前列腺癌中表达下调。最近还开发了一些与二维PAGE相比可能具有更高灵敏度的非基于凝胶的蛋白质组学技术。ProteomeLab PF 2-D(贝克曼库尔特公司,加利福尼亚州富勒顿)就是一个例子。大多数蛋白质组学研究的目标是识别可通过酶联免疫吸附测定或免疫组织化学检测的生物标志物。蛋白质组学技术的改进可能正在改变这一模式,因为现在正努力将蛋白质组学技术直接开发成临床诊断测试。表面增强激光解吸电离飞行时间质谱就是这种技术的一个例子。使用该技术结合基于模式识别的生物信息学工具,生成了具有鉴别性的光谱蛋白质组图谱,有助于区分前列腺癌患者和良性前列腺患者。如果能够克服几个技术障碍,那么该方法有可能提高前列腺癌检测的特异性和灵敏度。