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肾肿瘤的蛋白质组学概况。

The proteomic landscape of renal tumors.

作者信息

Chinello Clizia, L'imperio Vincenzo, Stella Martina, Smith Andrew James, Bovo Giorgio, Grasso Angelica, Grasso Marco, Raimondo Francesca, Pitto Marina, Pagni Fabio, Magni Fulvio

机构信息

a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy.

b Pathology unit , San Gerardo Hospital , Monza , Italy.

出版信息

Expert Rev Proteomics. 2016 Dec;13(12):1103-1120. doi: 10.1080/14789450.2016.1248415. Epub 2016 Oct 28.

Abstract

Renal cell carcinoma (RCC) is the most fatal of the common urologic cancers, with approximately 35% of patients dying within 5 years following diagnosis. Therefore, there is a need for non-invasive markers that are capable of detecting and determining the severity of small renal masses at an early stage in order to tailor treatment and follow-up. Proteomic studies have proved to be very useful in the study of tumors. Areas covered: In this review, we will detail the current knowledge obtained by the different proteomic approaches, focusing on MS-based strategies, used to investigate RCC biology in order to identify diagnostic, prognostic and predictive biomarkers on tissue, cultured cells and biological fluids. Expert commentary: Currently, no reliable biomarkers or targets for RCC have been translated into the clinical setting. Moreover, despite the efforts of proteomics and other -omics disciplines, only a small number of them have been observed as shared targets between the different analytical platforms and biological specimens. The difficulty to define a specific molecular pattern for RCC and its subtypes highlights a peculiar profile and a heterogeneity that must be taken into account in future studies.

摘要

肾细胞癌(RCC)是常见泌尿系统癌症中致死率最高的,约35%的患者在确诊后5年内死亡。因此,需要能够在早期检测并确定小肾肿块严重程度的非侵入性标志物,以便制定治疗方案和进行随访。蛋白质组学研究已证明在肿瘤研究中非常有用。涵盖领域:在本综述中,我们将详细阐述通过不同蛋白质组学方法获得的当前知识,重点关注基于质谱的策略,这些策略用于研究RCC生物学,以识别组织、培养细胞和生物体液中的诊断、预后和预测生物标志物。专家评论:目前,还没有可靠的RCC生物标志物或靶点转化应用于临床。此外,尽管蛋白质组学和其他“组学”学科付出了努力,但只有少数被观察到是不同分析平台和生物样本之间的共同靶点。难以确定RCC及其亚型的特定分子模式,这凸显了一种特殊的特征和异质性,在未来研究中必须加以考虑。

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