Omics sciences and precision medicine in prostate cancer.

组学 医学 精密医学 代谢组学 蛋白质组学 疾病 基因组学 个性化医疗 前列腺癌 生物信息学 生物标志物发现 计算生物学 系统生物学 癌症 数据科学 病理 生物 内科学 计算机科学 生物化学 基因组 基因
作者
Maria Chiara Medori,Cristian Micheletti,M Gadler,Sabrina Benedetti,Giulia Guerri,Francesca Cristofoli,Daniele Generali,Carmine Antonio Donofrio,Márcia R. Cominetti,Antonio Fioravanti,L Riccio,Andrea Bernini,Ezio Fulcheri,Aldo E. Calogero,Rossella Cannarella,Liborio Stuppia,Valentina Gatta,S Cecchin,Giuseppe Marceddu,Matteo Bertelli
出处
期刊:PubMed 卷期号:174 (Suppl 2(6)): 95-103
标识
DOI:10.7417/ct.2023.2476
摘要

In the last decade, Prostate Cancer (PCa) has emerged as the second most prevalent and serious medical condition, and is considered one of the leading factors contributing to global mortality rates. Several factors (genetic as well as environmental) contribute to its development and seriousness. Since the disease is usually asymptomatic at early stages, it is typically misdiagnosed or over-diagnosed by the diagnostic procedures currently in use, leading to improper treatment. Effective biomarkers and diagnostic techniques are desperately needed in clinical settings for better management of PCa patients. Studies integrating omics sciences have shown that the accuracy and dependability of diagnostic and prognostic evaluations have increased because of the use of omics data; also, the treatment plans using omics can be facilitated by personalized medicine. The present review emphasizes innovative multi-omics methodologies, encompassing proteomics, genomics, microbiomics, metabolomics, and transcriptomics, with the aim of comprehending the molecular alterations that trigger and contribute to PCa. The review shows how early genomic and transcriptomic research has made it possible to identify PCa-related genes that are controlled by tumor-relevant signaling pathways. Proteomic and metabolomic analyses have recently been integrated, advancing our understanding of the complex mechanisms at play, the multiple levels of regulation, and how they interact. By applying the omics approach, new vulnerabilities may be discovered, and customized treatments with improved efficacy will soon be accessible.

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