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肾癌中的组学科学与精准医学。

Omics sciences and precision medicine in kidney cancer.

作者信息

Dhuli K, Micheletti C, Medori M C, Maltese P E, Tanzi B, Tezzele S, Mareso C, Generali D, Donofrio C A, Cominetti M, Fioravanti A, Riccio L, Beccari T, Ceccarini M R, Stuppia L, Gatta V, Cristoni S, Cecchin S, Marceddu G, Bertelli M

机构信息

MAGI'S LAB, Rovereto (TN), Italy.

MAGI EUREGIO, Bolzano, Italy.

出版信息

Clin Ter. 2023 Nov-Dec;174(Suppl 2(6)):46-54. doi: 10.7417/CT.2023.2471.

DOI:10.7417/CT.2023.2471
PMID:37994748
Abstract

In the last decade, renal carcinoma has become more prevalent in European and North American regions. Kidney tumors are usually categorized based on histological features, with renal cell carcinoma being the most common subtype in adults. Despite conventional diagnostic and therapeutic strategies, a rise in cancer incidence and recurrence necessitates a fresh approach to diagnosing and treating kidney cancer. This review focuses on novel multi-omics approaches, such as genomics, transcriptomics, proteomics, metabolomics, and microbiomics, to better understand the molecular and clinical features of renal cell carcinoma. Studies integrating omics sciences have shown early promise in enhancing prognostic and therapeutic outcomes for various kidney cancer subtypes and providing insight into fundamental pathophysiological mechanisms occurring at different molecular levels. This review highlights the importance of utilizing omics sciences as a revolutionary concept in diagnostics and therapeutics and the clinical implications of renal cell carcinoma. Finally, the review presents the most recent findings from large-scale multi-omics studies on renal cell carcinoma and its associations with patient subtyping and drug development.

摘要

在过去十年中,肾癌在欧洲和北美地区变得更加普遍。肾肿瘤通常根据组织学特征进行分类,肾细胞癌是成人中最常见的亚型。尽管有传统的诊断和治疗策略,但癌症发病率和复发率的上升使得有必要采用新的方法来诊断和治疗肾癌。本综述重点关注新型多组学方法,如基因组学、转录组学、蛋白质组学、代谢组学和微生物组学,以更好地了解肾细胞癌的分子和临床特征。整合组学科学的研究在改善各种肾癌亚型的预后和治疗结果以及深入了解不同分子水平上发生的基本病理生理机制方面已初现希望。本综述强调了将组学科学作为诊断和治疗中的一个革命性概念加以利用的重要性以及肾细胞癌的临床意义。最后,该综述介绍了关于肾细胞癌及其与患者亚型分类和药物开发关联的大规模多组学研究的最新发现。

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