Ward D G, Suggett N, Cheng Y, Wei W, Johnson H, Billingham L J, Ismail T, Wakelam M J O, Johnson P J, Martin A
CR-UK Institute for Cancer Studies, University of Birmingham, Edgbaston.
Br J Cancer. 2006 Jun 19;94(12):1898-905. doi: 10.1038/sj.bjc.6603188. Epub 2006 Jun 6.
Colorectal cancer (CRC) is often diagnosed at a late stage with concomitant poor prognosis. Early detection greatly improves prognosis; however, the invasive, unpleasant and inconvenient nature of current diagnostic procedures limits their applicability. No serum-based test is currently of sufficient sensitivity or specificity for widespread use. In the best currently available blood test, carcinoembryonic antigen exhibits low sensitivity and specificity particularly in the setting of early disease. Hence, there is great need for new biomarkers for early detection of CRC. We have used surface-enhanced laser desorbtion/ionisation (SELDI) to investigate the serum proteome of 62 CRC patients and 31 noncancer subjects. We have identified proteins (complement C3a des-arg, alpha1-antitrypsin and transferrin) with diagnostic potential. Artificial neural networks trained using only the intensities of the SELDI peaks corresponding to identified proteins were able to classify the patients used in this study with 95% sensitivity and 91% specificity.
结直肠癌（CRC）通常在晚期被诊断出来，预后较差。早期检测能大大改善预后；然而，当前诊断程序具有侵入性、令人不适且不方便的特点，限制了它们的应用。目前没有一种基于血清的检测方法具有足够的敏感性或特异性以供广泛使用。在目前可用的最佳血液检测中，癌胚抗原的敏感性和特异性较低，尤其是在早期疾病的情况下。因此，非常需要用于早期检测CRC的新生物标志物。我们使用表面增强激光解吸/电离（SELDI）技术研究了62例CRC患者和31名非癌症受试者的血清蛋白质组。我们已经鉴定出具有诊断潜力的蛋白质（补体C3a去精氨酸、α1-抗胰蛋白酶和转铁蛋白）。仅使用与已鉴定蛋白质相对应的SELDI峰强度训练的人工神经网络能够以95%的敏感性和91%的特异性对本研究中的患者进行分类。
