Molecular Signaling Section, Medical Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892-1906, USA.
J Proteomics. 2010 Sep 10;73(10):1864-72. doi: 10.1016/j.jprot.2010.05.013. Epub 2010 Jun 1.
The power of proteomics allows unparalleled opportunity to query the molecular mechanisms of a malignant cell and the tumor microenvironment in patients with ovarian cancer and other solid tumors. This information has given us insight into the perturbations of signaling pathways within tumor cells and has aided the discovery of new drug targets for the tumor and possible prognostic indicators of outcome and disease response to therapy. Proteomics analysis of serum and ascites has also given us sources with which to discover possible early markers for the presence of new disease and for the progression of established cancer throughout the course of treatment. Unfortunately, this wealth of information has yielded little to date in changing the clinical care of these patients from a diagnostic, prognostic, or treatment perspective. The rational examination and translation of proteomics data in the context of past clinical trials and the design of future clinical trials must occur before we can march forward into the future of personalized medicine.
蛋白质组学的强大功能为我们提供了前所未有的机会,使我们能够在卵巢癌和其他实体瘤患者中查询恶性细胞和肿瘤微环境的分子机制。这些信息使我们深入了解肿瘤细胞内信号通路的改变,并有助于发现肿瘤的新药物靶点以及可能的预后指标,以预测治疗效果和疾病反应。对血清和腹水的蛋白质组学分析也为我们提供了发现新疾病早期标志物和治疗过程中确定癌症进展的可能来源。不幸的是,迄今为止,这些丰富的信息在改变这些患者的临床治疗方面(从诊断、预后或治疗的角度来看)收效甚微。在我们迈向个性化医学的未来之前,必须在过去临床试验的背景下对蛋白质组学数据进行合理的检查和转化,并设计未来的临床试验。