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基于蛋白质组学方法的生物标志物发现用于结直肠癌的早期检测和个性化医疗。

Biomarker discovery by proteomics-based approaches for early detection and personalized medicine in colorectal cancer.

作者信息

Corbo Claudia, Cevenini Armando, Salvatore Francesco

机构信息

CEINGE, Advanced Biotechnology s.c.a.r.l., Via G. Salvatore 486, Naples, Italy.

Center for Biomimetic Medicine, Houston Methodist Research Institute, Houston, TX, USA.

出版信息

Proteomics Clin Appl. 2017 May;11(5-6). doi: 10.1002/prca.201600072. Epub 2017 Jan 17.

Abstract

About one million people per year develop colorectal cancer (CRC) and approximately half of them die. The extent of the disease (i.e. local invasion at the time of diagnosis) is a key prognostic factor. The 5-year survival rate is almost 90% in the case of delimited CRC and 10% in the case of metastasized CRC. Hence, one of the great challenges in the battle against CRC is to improve early diagnosis strategies. Large-scale proteomic approaches are widely used in cancer research to search for novel biomarkers. Such biomarkers can help in improving the accuracy of the diagnosis and in the optimization of personalized therapy. Herein, we provide an overview of studies published in the last 5 years on CRC that led to the identification of protein biomarkers suitable for clinical application by using proteomic approaches. We discussed these findings according to biomarker application, including also the role of protein phosphorylation and cancer stem cells in biomarker discovery. Our review provides a cross section of scientific approaches and can furnish suggestions for future experimental strategies to be used as reference by scientists, clinicians and researchers interested in proteomics for biomarker discovery.

摘要

每年约有100万人患结直肠癌(CRC),其中约一半人死亡。疾病的程度(即诊断时的局部侵袭情况)是一个关键的预后因素。局限性结直肠癌患者的5年生存率近90%,而转移性结直肠癌患者的5年生存率为10%。因此,对抗结直肠癌的一大挑战是改进早期诊断策略。大规模蛋白质组学方法在癌症研究中被广泛用于寻找新型生物标志物。此类生物标志物有助于提高诊断准确性并优化个性化治疗。在此,我们概述了过去5年发表的关于结直肠癌的研究,这些研究通过蛋白质组学方法鉴定出了适用于临床应用的蛋白质生物标志物。我们根据生物标志物的应用对这些发现进行了讨论,还包括蛋白质磷酸化和癌症干细胞在生物标志物发现中的作用。我们的综述提供了科学方法的横断面,并可为未来的实验策略提供建议,供对蛋白质组学用于生物标志物发现感兴趣的科学家、临床医生和研究人员参考。

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