文章：

蛋白质组学在癌症早期检测中的应用

Proteomic applications for the early detection of cancer

原文发布日期：2003-04-01

DOI: 10.1038/nrc1043

类型: Review Article

开放获取: 否

要点：

1. Biomarkers are the foundation of cancer detection and monitoring. Most of today's licensed tests for disease detection are protein-based assays.
2. Low-throughput proteomics approaches, such as 2D-PAGE (two-dimensional polyacrylamide gel electrophoresis) coupled with mass spectrometry for protein identification, have proven useful for cancer biomarker discovery, particularly when laser capture microdissection (LCM) is used to isolate cell populations of interest for analysis.
3. Technologies such as multidimensional separation systems directly coupled to mass spectrometry analysis represent improvements in sensitivity and throughput when compared with traditional 2D-PAGE analysis for biomarker discovery.
4. Mass-spectrometry-driven proteomic analysis is a key development for the rapid detection of cancer-specific biomarkers and proteomic patterns of tissue and body fluids.
5. Proteomic pattern diagnostics combines proteomic pattern profiling of tissue and body fluids by mass spectrometry with sophisticated bioinformatics tools to identify patterns within the complex proteomic profile that discriminate between normal, benign or disease states.
6. Proteomic pattern diagnostics has been successfully applied to the problems of early detection for a number of different types of cancer.
7. A number of feasibility, reproducibility and standardization issues need to be addressed before proteomic pattern diagnostics can be incorporated into routine clinical practice.
8. Mass spectrometry might become the preferred detection platform and clinical analyser for routine clinical and medical diagnostics.

要点翻译：

1. 生物标志物是癌症检测与监测的基础。目前大多数获得许可的疾病检测方法均基于蛋白质分析。
2. 低通量蛋白质组学方法（例如二维聚丙烯酰胺凝胶电泳结合质谱进行蛋白质鉴定）已被证明对癌症生物标志物的发现非常有用，尤其是在使用激光捕获显微切割技术分离目标细胞群进行分析时。
3. 与传统的二维聚丙烯酰胺凝胶电泳分析相比，直接与质谱分析联用的多维分离系统等技术在生物标志物发现的灵敏度和通量方面均有所提升。
4. 质谱驱动的蛋白质组分析技术是快速检测癌症特异性生物标志物及组织体液蛋白质组图谱的关键进展。
5. 蛋白质组图谱诊断技术通过质谱对组织和体液进行蛋白质组图谱分析，结合先进的生物信息学工具，从复杂的蛋白质组谱中识别出能够区分正常、良性或疾病状态的特定模式。
6. 蛋白质组图谱诊断技术已成功应用于多种癌症的早期检测。
7. 在蛋白质组图谱诊断技术纳入常规临床实践之前，仍需解决可行性、可重复性及标准化等一系列问题。
8. 质谱技术有望成为常规临床与医学诊断的首选检测平台和临床分析仪。

英文摘要：

The ability of physicians to effectively treat and cure cancer is directly dependent on their ability to detect cancers at their earliest stages. Proteomic analyses of early-stage cancers have provided new insights into the changes that occur in the early phases of tumorigenesis and represent a new resource of candidate biomarkers for early-stage disease. Studies that profile proteomic patterns in body fluids also present new opportunities for the development of novel, highly sensitive diagnostic tools for the early detection of cancer.

摘要翻译： 

医生有效治疗和治愈癌症的能力，直接取决于他们能否在癌症最早阶段发现它。对早期癌症的蛋白质组学分析，为揭示肿瘤发生早期阶段的变化提供了新见解，并成为早期疾病候选生物标志物的新资源。对体液中蛋白质组学模式进行剖析的研究，也为开发新型、高灵敏度的癌症早期检测工具带来了新机遇。

原文链接：

Proteomic applications for the early detection of cancer