Indovina Paola, Marcelli Eleonora, Maranta Pasquale, Tarro Giulio
Department of Human Pathology and Oncology, University of Siena, 53100 Siena, Italy.
Int J Proteomics. 2011;2011:726869. doi: 10.1155/2011/726869. Epub 2011 Sep 15.
Lung cancer is the most common cause of cancer death in both men and women in Western countries, with a 5-year survival rate of 15%, which is among the lowest of all cancers. The high mortality from lung cancer is due not only to the late stage diagnosis but also to the lack of effective treatments even for patients diagnosed with stage I lung cancer. Therefore, there is an urgent need to identify new markers for early diagnosis and prognosis that could serve to open novel therapeutic avenues. Proteomics can represent an important tool for the identification of biomarkers and therapeutic targets for lung cancer since DNA-based biomarkers did not prove to have adequate sensitivity, specificity, and reproducibility. In this paper we will describe studies focused on the identification of new diagnostic, prognostic, and predictive markers for lung cancer, using proteomics technologies.
在西方国家,肺癌是男性和女性癌症死亡的最常见原因,其5年生存率为15%,是所有癌症中最低的之一。肺癌的高死亡率不仅归因于晚期诊断,还归因于即使对于被诊断为I期肺癌的患者也缺乏有效的治疗方法。因此,迫切需要鉴定新的早期诊断和预后标志物,以开辟新的治疗途径。蛋白质组学可成为鉴定肺癌生物标志物和治疗靶点的重要工具,因为基于DNA的生物标志物并未证明具有足够的敏感性、特异性和可重复性。在本文中,我们将描述利用蛋白质组学技术专注于鉴定肺癌新的诊断、预后和预测标志物的研究。