Casiano Carlos A, Mediavilla-Varela Melanie, Tan Eng M
Center for Health Disparities Research and Department of Biochemistry and Microbiology, Loma Linda University School of Medicine, California 92350, USA.
Mol Cell Proteomics. 2006 Oct;5(10):1745-59. doi: 10.1074/mcp.R600010-MCP200. Epub 2006 May 29.
The recognition that human tumors stimulate the production of autoantibodies against autologous cellular proteins called tumor-associated antigens (TAAs) has opened the door to the possibility that autoantibodies could be exploited as serological tools for the early diagnosis and management of cancer. Cancer-associated autoantibodies are often driven by intracellular proteins that are mutated, modified, or aberrantly expressed in tumor cells and hence are regarded as immunological reporters that could help uncover molecular events underlying tumorigenesis. Emerging evidence suggests that each type of cancer might trigger unique autoantibody signatures that reflect the nature of the malignant process in the affected organ. The advent of novel genomic, proteomic, and high throughput approaches has accelerated interest in the serum autoantibody repertoire in human cancers for the discovery of candidate TAAs. The use of individual anti-TAA autoantibodies as diagnostic or prognostic tools has been tempered by their low frequency and heterogeneity in most human cancers. However, TAA arrays comprising several antigens significantly increase this frequency and hold great promise for the early detection of cancer, monitoring cancer progression, guiding individualized therapeutic interventions, and identification of novel therapeutic targets. Our recent studies suggest that the implementation of TAA arrays in screening programs for the diagnosis of prostate cancer and other cancers should be preceded by the optimization of their sensitivity and specificity through the careful selection of the most favorable combinations of TAAs.
人们认识到人类肿瘤会刺激机体产生针对被称为肿瘤相关抗原(TAA)的自身细胞蛋白的自身抗体,这为利用自身抗体作为癌症早期诊断和管理的血清学工具开辟了可能性。癌症相关的自身抗体通常由在肿瘤细胞中发生突变、修饰或异常表达的细胞内蛋白驱动,因此被视为免疫报告分子,有助于揭示肿瘤发生的分子事件。新出现的证据表明,每种类型的癌症可能会触发独特的自身抗体特征,这些特征反映了受影响器官中恶性过程的本质。新型基因组学、蛋白质组学和高通量方法的出现,加速了人们对人类癌症血清自身抗体库的关注,以发现候选TAA。在大多数人类癌症中,单个抗TAA自身抗体作为诊断或预后工具的应用受到其低频率和异质性的限制。然而,包含多种抗原的TAA阵列显著提高了这种频率,并在癌症的早期检测、监测癌症进展、指导个体化治疗干预以及识别新型治疗靶点方面具有巨大潜力。我们最近的研究表明,在将TAA阵列应用于前列腺癌和其他癌症诊断的筛查项目之前,应通过仔细选择最有利的TAA组合来优化其敏感性和特异性。