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利用蛋白质组学和生物信息学工具探索癌症分泌组,深入了解癌症生物学。

Gaining insights into cancer biology through exploration of the cancer secretome using proteomic and bioinformatic tools.

机构信息

a Danish Cancer Society Research Center, Computational Biology Laboratory , Copenhagen , Denmark.

b Danish Cancer Society Research Center, Genome Integrity Unit, Breast Cancer Biology Group , Copenhagen , Denmark.

出版信息

Expert Rev Proteomics. 2017 Nov;14(11):1021-1035. doi: 10.1080/14789450.2017.1387053. Epub 2017 Oct 6.

DOI:10.1080/14789450.2017.1387053
PMID:28967788
Abstract

Tumor-associated proteins released by cancer cells and by tumor stroma cells, referred as 'cancer secretome', represent a valuable resource for discovery of potential cancer biomarkers. The last decade was marked by a great increase in number of studies focused on various aspects of cancer secretome including, composition and identification of components externalized by malignant cells and by the components of tumor microenvironment. Areas covered: Here, we provide an overview of achievements in the proteomic analysis of the cancer secretome, elicited through the tumor-associated interstitial fluid recovered from malignant tissues ex vivo or the protein component of conditioned media obtained from cultured cancer cells in vitro. We summarize various bioinformatic tools and approaches and critically appraise their outcomes, focusing on problems and challenges that arise when applied for the analysis of cancer secretomic databases. Expert commentary: Recent achievements in the omics- analysis of structural and metabolic aspects of altered cancer secretome contribute greatly to the various hallmarks of cancer including the identification of clinically significant biomarkers and potential targets for therapeutic intervention.

摘要

肿瘤细胞和肿瘤基质细胞释放的与肿瘤相关的蛋白,被称为“癌症分泌组”,是发现潜在癌症生物标志物的宝贵资源。过去十年,大量研究集中在癌症分泌组的各个方面,包括恶性细胞和肿瘤微环境成分外化的成分的组成和鉴定。涵盖领域:在这里,我们提供了对从恶性组织体外获得的肿瘤相关间质液或体外培养的癌细胞条件培养基中获得的蛋白质成分进行癌症分泌组蛋白质组学分析的研究成果概述。我们总结了各种生物信息学工具和方法,并批判性地评估了它们的结果,重点关注应用于癌症分泌组数据库分析时出现的问题和挑战。专家评论:对改变的癌症分泌组的结构和代谢方面的组学分析的最新进展极大地促进了癌症的各种特征,包括鉴定有临床意义的生物标志物和潜在的治疗干预靶点。

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