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首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >How Are We Going to Discover New Cancer Biomarkers? A Proteomic Approach for Bladder Cancer
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How Are We Going to Discover New Cancer Biomarkers? A Proteomic Approach for Bladder Cancer

机译:我们将如何发现新的癌症生物标志物?膀胱癌的蛋白质组学方法

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A handful of cancer biomarkers are currently used routinely for population screening, disease diagnosis, prognosis, monitoring of therapy, and prediction of therapeutic response. Unfortunately, most of these biomarkers suffer from low sensitivity, specificity, and predictive value, particularly when applied to rare diseases in population screening programs. Thus, for the classic cancer biomarkers much is left to be desired in terms of clinical applicability. We need new cancer biomarkers that will further enhance our ability to diagnose, prognose, and predict therapeutic response in many cancer types. Because biomarkers can be analyzed relatively noninvasively and economically, it is worth investing in discovering more biomarkers in the future. The completion of the Human Genome Project has raised expectations that the knowledge of all genes and proteins will lead to identification of many candidate biomarkers for cancer and other diseases. These predictions still need to be realized. The prevailing view among specialists is that the most powerful single cancer biomarkers may have already been discovered. Likely, in the future we will discover biomarkers that are less sensitive or specific but could be used in panels, in combination with powerful bioinformatic tools, to devise diagnostic algorithms with improved sensitivity and specificity. These efforts are currently in progress (1).Most of the currently used cancer biomarkers were discovered after development of novel analytical techniques such as immunologic assays and the monoclonal antibody technology. Animals were immunized with extracts from tumors or cancer cell lines, followed by screening of hybridomas for monoclonal antibodies that recognize “cancer-associated” antigens. More recently, and with the completion of the Human Genome Project, many researchers have hypothesized that the best cancer biomarkers will likely be secreted proteins (2). Approximately 20–25% of all cell proteins are secreted. However, this is not an absolute requirement because many classic cancer biomarkers, such as carcinoembryonic …
机译:当前,少数癌症生物标志物通常用于人群筛查,疾病诊断,预后,治疗监测和治疗反应预测。不幸的是,这些生物标记物中的大多数都具有较低的敏感性,特异性和预测价值,尤其是在人群筛查计划中应用于罕见疾病时。因此,就经典的癌症生物标志物而言,就临床适用性而言还需要很多。我们需要新的癌症生物标志物,这些标志物将进一步增强我们诊断,预后和预测许多癌症类型的治疗反应的能力。由于可以相对非侵入性和经济地分析生物标志物,因此值得在将来发现更多生物标志物方面进行投资。人类基因组计划的完成,引起了人们对所有基因和蛋白质知识的期待,这将导致鉴定许多癌症和其他疾病的候选生物标记。这些预测仍然需要实现。专家普遍认为,可能已经发现了最强大的单一癌症生物标记。将来,我们很可能会发现敏感性或特异性较低的生物标志物,但可与强大的生物信息学工具结合使用,用于面板中,以设计出具有更高灵敏度和特异性的诊断算法。这些工作目前仍在进行中(1)。在开发了新型分析技术(例如免疫学测定法和单克隆抗体技术)后,发现了目前使用的大多数癌症生物标记物。用来自肿瘤或癌细胞系的提取物对动物进行免疫,然后在杂交瘤中筛选识别“癌症相关”抗原的单克隆抗体。最近,随着人类基因组计划的完成,许多研究人员推测,最好的癌症生物标志物可能是分泌的蛋白质(2)。所有细胞蛋白中大约有20–25%被分泌。但是,这不是绝对的要求,因为许多经典的癌症生物标志物,例如癌胚…

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