从前列腺癌的分子机制到转化应用:基于多组学融合分析和智能医学。

IF 4.7 3区 医学 Q1 MEDICAL INFORMATICS
Health Information Science and Systems Pub Date : 2023-12-18 eCollection Date: 2024-12-01 DOI:10.1007/s13755-023-00264-5
Shumin Ren, Jiakun Li, Julián Dorado, Alejandro Sierra, Humbert González-Díaz, Aliuska Duardo, Bairong Shen
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引用次数: 0

摘要

前列腺癌是全球男性最常见的癌症,死亡率很高。前列腺癌的复杂性和异质性发展已成为前列腺癌治疗的核心障碍。同时,早期诊断中的过度治疗、寡转移和休眠肿瘤的识别以及个性化用药等问题也是前列腺癌临床治疗中需要关注的具体问题。一些典型的基因突变已被证实与前列腺癌的发生和发展有关。然而,单基因组研究通常无法解释分子改变与临床表型之间的因果关系。该领域还缺乏从系统遗传学角度的探索,即基因网络、环境因素甚至生活方式行为对疾病进展的影响。与此同时,当前的趋势强调利用人工智能(AI)和机器学习技术来处理包括多组学在内的大量多维数据。这些技术揭示了与疾病相关的潜在模式、相关性和洞察力,从而有助于可解释的临床决策和应用,即智能医学。因此,迫切需要整合多维数据,以识别分子亚型、预测癌症的进展和侵袭性,并进行个性化治疗。在这篇综述中,我们系统地阐述了从前列腺癌分子机制发现到临床转化应用的全过程。我们讨论了前列腺癌异质性的分子特征和临床表现、前列腺癌不同状态的识别以及相应的精准医疗实践。以多组学融合、系统遗传学和智能医学为主要视角,总结了当前前列腺癌的研究成果和知识驱动的研究路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine.

Prostate cancer is the most common cancer in men worldwide and has a high mortality rate. The complex and heterogeneous development of prostate cancer has become a core obstacle in the treatment of prostate cancer. Simultaneously, the issues of overtreatment in early-stage diagnosis, oligometastasis and dormant tumor recognition, as well as personalized drug utilization, are also specific concerns that require attention in the clinical management of prostate cancer. Some typical genetic mutations have been proved to be associated with prostate cancer's initiation and progression. However, single-omic studies usually are not able to explain the causal relationship between molecular alterations and clinical phenotypes. Exploration from a systems genetics perspective is also lacking in this field, that is, the impact of gene network, the environmental factors, and even lifestyle behaviors on disease progression. At the meantime, current trend emphasizes the utilization of artificial intelligence (AI) and machine learning techniques to process extensive multidimensional data, including multi-omics. These technologies unveil the potential patterns, correlations, and insights related to diseases, thereby aiding the interpretable clinical decision making and applications, namely intelligent medicine. Therefore, there is a pressing need to integrate multidimensional data for identification of molecular subtypes, prediction of cancer progression and aggressiveness, along with perosonalized treatment performing. In this review, we systematically elaborated the landscape from molecular mechanism discovery of prostate cancer to clinical translational applications. We discussed the molecular profiles and clinical manifestations of prostate cancer heterogeneity, the identification of different states of prostate cancer, as well as corresponding precision medicine practices. Taking multi-omics fusion, systems genetics, and intelligence medicine as the main perspectives, the current research results and knowledge-driven research path of prostate cancer were summarized.

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来源期刊
CiteScore
11.30
自引率
5.00%
发文量
30
期刊介绍: Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence/computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration and management of health information systems, smart health, artificial intelligence in medicine, and computer aided diagnosis, medical expert systems. The scope includes: i.) smart health, artificial Intelligence in medicine, computer aided diagnosis, medical image processing, medical expert systems ii.) medical big data, medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, iii.) data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, iv.) development of new architectures and applications for health information systems.
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