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蛋白质组学中肿瘤侵袭性的生物标志物(综述)。

Biomarkers of tumor invasiveness in proteomics (Review).

机构信息

CRCINA, Inserm, Université d'Angers, F‑44000 Nantes, France.

Paul Papin ICO Cancer Center, CRCINA, Inserm, Université d'Angers, F‑44000 Nantes, France.

出版信息

Int J Oncol. 2020 Aug;57(2):409-432. doi: 10.3892/ijo.2020.5075. Epub 2020 May 28.

Abstract

Over the past two decades, quantitative proteomics has emerged as an important tool for deciphering the complex molecular events involved in cancers. The number of references involving studies on the cancer metastatic process has doubled since 2010, while the last 5 years have seen the development of novel technologies combining deep proteome coverage capabilities with quantitative consistency and accuracy. To highlight key findings within this huge amount of information, the present review identified a list of tumor invasive biomarkers based on both the literature and data collected on a biocollection of experimental cell lines, tumor models of increasing invasiveness and tumor samples from patients with colorectal or breast cancer. Crossing these different data sources led to 76 proteins of interest out of 1,245 mentioned in the literature. Information on these proteins can potentially be translated into clinical prospects, since they represent potential targets for the development and evaluation of innovative therapies, alone or in combination. Herein, a systematical review of the biology of each of these proteins, including their specific subcellular/extracellular or multiple localizations is presented. Finally, as an important advantage of quantitative proteomics is the ability to provide data on all these molecules simultaneously in cell pellets, body fluids or paraffin‑embedded sections of tumors/invaded tissues, the significance of some of their interconnections is discussed.

摘要

在过去的二十年中,定量蛋白质组学已成为破译癌症相关复杂分子事件的重要工具。自 2010 年以来,涉及癌症转移过程研究的参考文献数量增加了一倍,而在过去的 5 年中,出现了将深度蛋白质组覆盖能力与定量一致性和准确性相结合的新技术。为了突出大量信息中的关键发现,本综述根据文献和从实验细胞系、侵袭性不断增加的肿瘤模型和结直肠癌或乳腺癌患者的肿瘤样本的生物样本库中收集的数据,确定了一组肿瘤侵袭性生物标志物列表。交叉这些不同的数据源,从文献中提到的 1245 种蛋白质中得出了 76 种感兴趣的蛋白质。这些蛋白质的信息可能会转化为临床前景,因为它们代表了开发和评估单独或联合使用的创新疗法的潜在目标。本文对这些蛋白质中的每一种的生物学进行了系统的综述,包括它们的特定亚细胞/细胞外或多种定位。最后,定量蛋白质组学的一个重要优势是能够同时在细胞沉淀、体液或肿瘤/侵袭组织的石蜡包埋切片中提供所有这些分子的数据,因此讨论了它们一些相互关系的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eff1/7307599/27c48937212c/IJO-57-02-0409-g00.jpg

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