Dudas Steven P, Tainsky Michael A
Wayne State University School of Medicine, Barbara Ann Karmanos Cancer Institute & Department of Pathology, Program in Molecular Biology and Genetics, 110 E Warren, Prentis 3115, Detroit, MI 48201-3917, USA +1 313 578 4340 ; +1 313 832 7294 ;
Expert Opin Med Diagn. 2009 May;3(3):251-61. doi: 10.1517/17530050902832848. Epub 2009 Apr 8.
Studies on the autoantibody (humoral immune) response to tumor-associated aberrant cellular components have provided critical information about an individual's disease state. Tumor-specific autoantibodies detected in human serum samples are being studied extensively to determine their utility in developing serological diagnostic assays for cancer. The development of accurate panels of diagnostic markers for cancer detection is now being pursued using new technologies and tailored computational methods capable of analyzing data generated from large-scale biomarker discovery projects.
In this technical overview, current methodologies being applied to the identification and characterization of tumor-specific autoantibodies in cancer patients' sera are reviewed.
A variety of research approaches are presented that are now being used or have the potential to evaluate large numbers of patient sera for the presence of tumor-specific autoantibodies. Each approach is discussed regarding its primary attributes (advantages and limitations) that could lead to serological diagnostic assays for the early detection of cancer.
Preliminary results in the development of serological diagnostic assays have demonstrated that the basic experimental tools to accomplish this goal exist. In the future, autoantibody patterns against tumor-specific proteins may achieve high specificity and sensitivity for diagnosing disease in screening populations. The development of highly accurate reliable assays is a prerequisite for this technology to be integrated into clinically applicable strategies in patient care.
针对肿瘤相关异常细胞成分的自身抗体(体液免疫)反应研究为了解个体疾病状态提供了关键信息。目前正在广泛研究在人血清样本中检测到的肿瘤特异性自身抗体,以确定其在开发癌症血清学诊断检测方法中的效用。目前正在利用能够分析大规模生物标志物发现项目产生的数据的新技术和定制计算方法,来开发用于癌症检测的准确诊断标志物组合。
在本技术综述中,回顾了目前用于识别和表征癌症患者血清中肿瘤特异性自身抗体的方法。
介绍了多种目前正在使用或有潜力评估大量患者血清中是否存在肿瘤特异性自身抗体的研究方法。讨论了每种方法的主要特性(优点和局限性),这些特性可能有助于开发用于癌症早期检测的血清学诊断检测方法。
血清学诊断检测方法开发的初步结果表明,实现这一目标的基本实验工具已经存在。未来,针对肿瘤特异性蛋白质的自身抗体模式在筛查人群中诊断疾病时可能会具有高特异性和高敏感性。开发高度准确可靠的检测方法是将该技术整合到临床患者护理适用策略中的先决条件。