Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma

被引:23
|
作者
Petitprez, Florent [1 ]
Ayadi, Mira [1 ]
de Reynies, Aurelien [1 ]
Fridman, Wolf H. [2 ]
Sautes-Fridman, Catherine [2 ]
Job, Sylvie [1 ]
机构
[1] Ligue Natl Canc, Programme Cartes Identite Tumeurs, Paris, France
[2] Univ Paris, Sorbonne Univ, Ctr Rech Cordeliers, Equipe Inflammat,Complement & Canc,INSERM, Paris, France
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词
prognostic markers; clear cell renal cell carcinoma (ccRCC); multivariate analysis; independent datasets; cox models; PREDICTS POOR-PROGNOSIS; DISEASE-FREE SURVIVAL; CARBONIC-ANHYDRASE-IX; ENDOTHELIAL GROWTH-FACTOR; CANCER-SPECIFIC SURVIVAL; ANTI-ANGIOGENIC THERAPY; FACTOR-BETA RECEPTOR; INDEPENDENT PREDICTOR; PROTEIN EXPRESSION; GENE-EXPRESSION;
D O I
10.3389/fonc.2021.643065
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Context: 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. Objective: Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinics. Evidence Acquisition: 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. Evidence Synthesis: 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 (VHL, PBRM1, BAP1, and SETD2) involved in ccRCC carcinogenesis are not the most relevant for assessing survival. Conclusion: Among single markers, the most validated markers were KI67, BIRC5, TP53, CXCR4, and CA9. 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. Patient Summary: 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.
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页数:11
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