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癌症组织的蛋白质组学分析:揭示致癌机制及潜在生物标志物

Proteomic analysis of cancer tissues: shedding light on carcinogenesis and possible biomarkers.

作者信息

Kuramitsu Yasuhiro, Nakamura Kazuyuki

机构信息

Department of Biochemistry and Functional Proteomics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan.

出版信息

Proteomics. 2006 Oct;6(20):5650-61. doi: 10.1002/pmic.200600218.

DOI:10.1002/pmic.200600218
PMID:16972299
Abstract

Lung, gastric, colorectal, pancreatic, and esophageal cancers, as well as hepatocellular carcinoma (HCC), were the six most common and highly fatal cancers for Japanese men in Japan in 2003, while for women uterine cervical cancer could also be added to this list. To identify diagnostic or therapeutic biomarkers for these cancers, investigators are nowadays performing proteomic analyses of cancer tissues and cells, and revealing a large number of molecules which are diagnostic, prognostic and informative of carcinogenesis. From reports of proteomic analyses of cancerous tissues and noncancerous tissues sampled from HCC, and pancreatic, esophageal, gastric, colorectal, lung and uterine cervical cancers, we classified the proteins into digestive enzymes, growth factors, cell adhesion molecules, calcium-binding proteins, proteases, protease inhibitors, transporter proteins, structural molecules, apoptosis inhibitor, molecular chaperone, as well as proteins related to cell growth, cell differentiation, cell transformation, tumor invasion, carcinogen metabolism, and others. The aim of this study was to understand carcinogenesis of major cancers from a proteomics perspective using samples from cancer patients, and to elucidate their tumor biomarkers.

摘要

肺癌、胃癌、结直肠癌、胰腺癌、食管癌以及肝细胞癌(HCC)是2003年日本男性在日本最常见且致死率很高的六种癌症,而对于日本女性而言,子宫颈癌也可列入此清单。为了鉴定这些癌症的诊断或治疗生物标志物,研究人员如今正在对癌组织和癌细胞进行蛋白质组分析,并揭示大量具有诊断、预后及致癌信息的分子。从对取自HCC以及胰腺癌、食管癌、胃癌、结直肠癌、肺癌和子宫颈癌的癌组织及非癌组织进行蛋白质组分析的报告中,我们将蛋白质分为消化酶、生长因子、细胞黏附分子、钙结合蛋白、蛋白酶、蛋白酶抑制剂、转运蛋白、结构分子、凋亡抑制剂、分子伴侣,以及与细胞生长、细胞分化、细胞转化、肿瘤侵袭、致癌物代谢等相关的蛋白质。本研究的目的是从蛋白质组学角度,利用癌症患者的样本了解主要癌症的致癌机制,并阐明其肿瘤生物标志物。

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Proteomic analysis of cancer tissues: shedding light on carcinogenesis and possible biomarkers.癌症组织的蛋白质组学分析:揭示致癌机制及潜在生物标志物
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