Rho Jung-Hyun, Lampe Paul D
Translational Research Program, Human Biology and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA.
Proteomes. 2014 Jan 13;2(1):1-17. doi: 10.3390/proteomes2010001.
Biomarkers for the early detection of cancer in the general population have to perform with high sensitivity and specificity in order to prevent the costs associated with over-diagnosis. There are only a few current tissue or blood markers that are recommended for generalized cancer screening. Despite the recognition that combinations of multiple biomarkers will likely improve their utility, biomarker panels are usually limited to a single class of molecules. Tissues and body fluids including plasma and serum contain not only proteins, DNA and microRNAs that are differentially expressed in cancers but further cancer specific information might be gleaned by comparing different classes of biomolecules. For example, the level of a certain microRNA might be related to the level of a particular protein in a cancer specific manner. Proteins might have cancer-specific post-translational modifications (e.g., phosphorylation or glycosylation) or lead to the generation of autoantibodies. Most currently approved biomarkers are glycoproteins. Autoantibodies can be produced as a host's early surveillance response to cancer-specific proteins in pre-symptomatic and pre-diagnostic stages of cancer. Thus, measurement of the level of a protein, the level of its glycosylation or phosphorylation and whether autoantibodies are produced to it can yield multi-dimensional information on each protein. We consider specific proteins that show consistent cancer-specific changes in two or three of these measurements to be "hybrid markers". We hypothesize these markers will suffer less variation between different individuals since one component can act to "standardize" the other measurement. As a proof of principle, a 180 plasma sample set consisting of 120 cases (60 colon cancers and 60 adenomas) and 60 controls were analyzed using our high-density antibody array for changes in their protein, IgG-complex and sialyl-Lewis A (SLeA) modified proteins. At < 0.05, expression changes in 1,070 proteins, 49 IgG-complexes (11 present in the protein list) and 488 Lewis X-modified proteins (57 on the protein list) were observed. The biomarkers significant on both lists are potential hybrid markers. Thus, plasma hybrid markers have the potential to create a new class of early detection markers of cancers.
普通人群中癌症早期检测的生物标志物必须具备高灵敏度和特异性,以避免过度诊断带来的成本。目前仅有少数组织或血液标志物被推荐用于广泛的癌症筛查。尽管人们认识到多种生物标志物的组合可能会提高其效用,但生物标志物组合通常仅限于单一类别的分子。包括血浆和血清在内的组织和体液不仅含有在癌症中差异表达的蛋白质、DNA和微小RNA,而且通过比较不同类别的生物分子可能会收集到更多癌症特异性信息。例如,某种微小RNA的水平可能以癌症特异性方式与特定蛋白质的水平相关。蛋白质可能具有癌症特异性的翻译后修饰(如磷酸化或糖基化)或导致自身抗体的产生。目前大多数获批的生物标志物都是糖蛋白。自身抗体可作为宿主在癌症症状前和诊断前阶段对癌症特异性蛋白质的早期监测反应而产生。因此,测量蛋白质水平、其糖基化或磷酸化水平以及是否产生针对它的自身抗体,可以产生关于每种蛋白质的多维度信息。我们认为在这三种测量中的两种或三种中显示出一致的癌症特异性变化的特定蛋白质为“混合标志物”。我们假设这些标志物在不同个体之间的变异较小,因为一个成分可以起到“标准化”另一个测量的作用。作为原理验证,使用我们的高密度抗体阵列分析了一个由120个病例(60例结肠癌和60例腺瘤)和60个对照组成的180份血浆样本集,以检测其蛋白质、IgG复合物和唾液酸化路易斯A(SLeA)修饰蛋白的变化。在P<0.05时,观察到1070种蛋白质、49种IgG复合物(其中11种在蛋白质列表中)和488种路易斯X修饰蛋白(其中57种在蛋白质列表中)的表达变化。两份列表上均显著的生物标志物是潜在的混合标志物。因此,血浆混合标志物有潜力创造出一类新的癌症早期检测标志物。