Miles Amanda K, Matharoo-Ball Balwir, Li Geng, Ahmad Murrium, Rees Robert C
School of Biomedical and Natural Sciences, Nottingham Trent University, Clifton Lane, Clifton, NG11 8NS, Nottingham, UK.
Cancer Immunol Immunother. 2006 Aug;55(8):996-1003. doi: 10.1007/s00262-005-0115-5. Epub 2006 Jan 12.
The biggest challenge facing us today in cancer control and prevention is the identification of novel biomarkers for detection and improved therapeutic interventions to reduce mortality and morbidity rates. Biomarkers are important indicators to inform us of the physiological state of the cell at a specific time. It is now clear that malignant transformation occurs by changes in cellular DNA and protein expression with subsequent clonal proliferation of the altered cells. The affected genes and their expressed protein products or biomarkers are those involved in the normal growth and maintenance of the cancerous cells. These biomarkers could prove pivotal for the identification of early cancer and people at risk of developing cancer. Altered proteins or changes in gene expression in malignant cells may lead to the expression of tumour antigens recognised by host immune system. In this review we discuss current research into the molecular technologies making possible the global genomic-wide analysis of changes in DNA (genotyping), RNA expression (transcriptomics) and protein expression (proteomics) that have accelerated the rate of new biomarker/tumour antigen discovery. To gain a comprehensive understanding of the physiology and pathophysiology of cancer an approach that harmoniously integrates the various 'omic' platforms are key to unraveling the complexity 'needle-in-a-haystack' quality of biomarker/tumour antigen discovery.
当今癌症控制与预防面临的最大挑战是识别用于检测的新型生物标志物以及改进治疗干预措施,以降低死亡率和发病率。生物标志物是在特定时间告知我们细胞生理状态的重要指标。现在很清楚,恶性转化是通过细胞DNA和蛋白质表达的变化以及随后改变细胞的克隆增殖而发生的。受影响的基因及其表达的蛋白质产物或生物标志物是那些参与癌细胞正常生长和维持的物质。这些生物标志物可能对早期癌症的识别以及有患癌风险的人群的识别至关重要。恶性细胞中蛋白质的改变或基因表达的变化可能导致宿主免疫系统识别的肿瘤抗原的表达。在本综述中,我们讨论了当前对分子技术的研究,这些技术使对DNA变化(基因分型)、RNA表达(转录组学)和蛋白质表达(蛋白质组学)进行全基因组范围的分析成为可能,从而加快了新生物标志物/肿瘤抗原的发现速度。为了全面了解癌症的生理学和病理生理学,一种和谐整合各种“组学”平台的方法是解开生物标志物/肿瘤抗原发现中“大海捞针”般复杂性的关键。