Ontario Cancer Institute, University Health Network, Toronto, Canada.
J Proteome Res. 2011 May 6;10(5):2286-99. doi: 10.1021/pr1011087. Epub 2011 Apr 14.
Epithelial ovarian cancer (EOC) is the most common gynecological cancer and the ninth most common cancer overall. Major problems associated with EOC include poorly characterized disease progression, disease heterogeneity, lack of early detection markers and the development of chemoresistance. Early detection and treatment of EOC would significantly benefit from routine screening tests on available biofluids. We built on our experience in analyzing ovarian cancer ascites and present an analysis pipeline that combines discovery-based proteomics, bioinformatics prioritization and targeted proteomics quantification using Selected Reaction Monitoring Mass Spectrometry (SRM-MS). Ascitic fluids from patients with serous-type epithelial ovarian cancer were analyzed using comprehensive shotgun proteomics and compared to noncancerous ascitic fluids from patients with benign ovarian tumors. Integration of our data with published mRNA transcriptomic and proteomic data sets led to a panel of 51 candidate proteins. Systematic SRM-MS assay development was performed for a subset of these proteins using both synthetic peptides (13 proteins) and stable isotope labeled standards (4 proteins). Subsequently, precise relative quantification by stable isotope dilution-SRM (SID-SRM) in independent ascites and serum samples was performed as a proof-of-concept validation. The analysis strategy outlined here lays the foundation for future experiments using both larger numbers of patient samples and additional candidate proteins, and provides a template for the proteomics-based discovery of cancer biomarkers.
上皮性卵巢癌(EOC)是最常见的妇科癌症,也是总体上第九大常见癌症。EOC 相关的主要问题包括疾病进展特征描述不足、疾病异质性、缺乏早期检测标志物以及化疗耐药性的发展。EOC 的早期检测和治疗将显著受益于对现有生物流体进行常规筛查测试。我们基于分析卵巢癌腹水的经验,提出了一个分析流程,该流程结合了基于发现的蛋白质组学、生物信息学优先级排序和使用选择反应监测质谱法(SRM-MS)的靶向蛋白质组学定量。使用全面的鸟枪法蛋白质组学分析了浆液性上皮性卵巢癌患者的腹水,并将其与来自良性卵巢肿瘤患者的非癌性腹水进行了比较。我们的数据与已发表的 mRNA 转录组学和蛋白质组学数据集的整合导致了一组 51 个候选蛋白。使用合成肽(13 种蛋白质)和稳定同位素标记标准品(4 种蛋白质)对这些蛋白质中的一部分进行了系统的 SRM-MS 检测方法开发。随后,在独立的腹水和血清样本中通过稳定同位素稀释-SRM(SID-SRM)进行精确的相对定量,作为概念验证验证。这里概述的分析策略为使用更多数量的患者样本和其他候选蛋白进行未来实验奠定了基础,并为基于蛋白质组学的癌症生物标志物发现提供了模板。