透明细胞肾细胞癌预后表达标志物综述

Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma.

作者信息

Petitprez Florent, Ayadi Mira, de Reyniès Aurélien, Fridman Wolf H, Sautès-Fridman Catherine, Job Sylvie

机构信息

Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France.

Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, Equipe Inflammation, Complément et Cancer, Paris, France.

出版信息

Front Oncol. 2021 Apr 28;11:643065. doi: 10.3389/fonc.2021.643065. eCollection 2021.

Abstract

The number of prognostic markers for clear cell renal cell carcinoma (ccRCC) has been increasing regularly over the last 15 years, without being integrated and compared. Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinics. PubMed database was searched to identify RNA and protein markers whose expression level was reported as associated with survival of ccRCC patients. Relevant studies were selected through cross-reading by two readers. We selected 249 studies reporting an association with prognostic of either single markers or multiple-marker models. Altogether, these studies were based on a total of 341 distinct markers and 13 multiple-marker models. Twenty percent of these markers were involved in four biological pathways altered in ccRCC: cell cycle, angiogenesis, hypoxia, and immune response. The main genes (, and ) involved in ccRCC carcinogenesis are not the most relevant for assessing survival. Among single markers, the most validated markers were , and . Of the multiple-marker models, the most famous model, ClearCode34, has been highly validated on several independent datasets, but its clinical utility has not yet been investigated. Over the years, the prognosis studies have evolved from single markers to multiple-marker models. Our review highlights the highly validated prognostic markers and multiple-marker models and discusses their clinical utility for better therapeutic care.

摘要

在过去15年中,透明细胞肾细胞癌(ccRCC)的预后标志物数量一直在稳步增加,但尚未进行整合和比较。我们的目标是对ccRCC的预后标志物进行综述,为其在临床中的应用奠定基础。通过检索PubMed数据库,以识别那些报道其表达水平与ccRCC患者生存率相关的RNA和蛋白质标志物。相关研究由两位读者交叉阅读后进行筛选。我们选择了249项报告单个标志物或多标志物模型与预后相关的研究。这些研究总共基于341个不同的标志物和13个多标志物模型。其中20%的标志物涉及ccRCC中改变的四个生物学途径:细胞周期、血管生成、缺氧和免疫反应。参与ccRCC致癌过程的主要基因( 、 和 )对于评估生存率并非最相关。在单个标志物中,最经证实的标志物是 、 和 。在多标志物模型中,最著名的模型ClearCode34在几个独立数据集中得到了高度验证,但其临床实用性尚未得到研究。多年来,预后研究已从单个标志物发展到多标志物模型。我们的综述突出了经过高度验证的预后标志物和多标志物模型,并讨论了它们在改善治疗护理方面的临床实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f057/8113694/076b9276d5e4/fonc-11-643065-g0001.jpg

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