An overview of advances in multi-omics analysis in prostate cancer
An overview of advances in multi-omics analysis in prostate cancer
复制标题
前列腺癌多组学分析进展概述
DOI：
10.1016/j.lfs.2020.118376
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发表时间：
2020
期刊：
影响因子：
6.1
通讯作者：
Yongsheng Song
中科院分区：
文献类型：
--
作者：
Enchong Zhang;Mo Zhang;Changlong Shi;Li Sun;Liping Shan;Hui Zhang;Yongsheng Song
前列腺癌（PCa）是男性的致命疾病，对所有类型的组学数据的研究对于促进精准医疗是必要的。测序技术的成熟、计算机处理能力的提高、组学分析方法的进步，提高了研究效率，节约了研究成本。PCa的发生、发展是多系统、多层次的病理改变。虽然单层次的组学研究很重要，但这种方法往往有局限性。相比之下，多种类型组学数据的联合分析可以更好地从整体上分析PCa的变化，从而最大程度地保证研究结果的有效性。本文首先介绍了单组学在PCa中的应用，然后综述了两类或多类组学数据联合分析的研究进展，从而系统全面地分析了PCa中多组学数据联合分析的必要性。
Prostate cancer (PCa) is a deadly disease for men, and studies of all types of omics data are necessary to promote precision medicine. The maturity of sequencing technology, the improvements of computer processing power, and the progress achieved in omics analysis methods have improved research efficiency and saved research costs. The occurrence and development of PCa is due to multisystem and multilevel pathological changes. Although omics research at a single level is important, this approach often has limitations. In contrast, the combined analysis of multiple types of omics data can better analyze PCa changes as a whole, thus ensuring the validity of research results to the greatest extent. This paper introduces the applications of single omics in PCa and then summarizes research progress in the combined analysis of two or more types of omics data, so as to systematically and comprehensively analyze the necessity of combined analysis of multiple omics data in PCa.