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ProCanBio:一个用于前列腺癌的人工 curated 生物标志物数据库。

ProCanBio: A Database of Manually Curated Biomarkers for Prostate Cancer.

机构信息

Department of Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.

Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.

出版信息

J Comput Biol. 2021 Dec;28(12):1248-1257. doi: 10.1089/cmb.2021.0348.

Abstract

Prostate cancer (PCa) is the second lethal malignancy in men worldwide. In the past, numerous research groups investigated the omics profiles of patients and scrutinized biomarkers for the diagnosis and prognosis of PCa. However, information related to the biomarkers is widely scattered across numerous resources in complex textual format, which poses hindrance to understand the tumorigenesis of this malignancy and scrutinization of robust signature. To create a comprehensive resource, we collected all the relevant literature on PCa biomarkers from the PubMed. We scrutinize the extensive information about each biomarker from a total of 412 unique research articles. Each entry of the database incorporates PubMed ID, biomarker name, biomarker type, biomolecule, source, subjects, validation status, and performance measures such as sensitivity, specificity, and hazard ratio (HR). In this study, we present ProCanBio, a manually curated database that maintains detailed data on 2053 entries of potential PCa biomarkers obtained from 412 publications in user-friendly tabular format. Among them are 766 protein-based, 507 RNA-based, 157 genomic mutations, 260 miRNA-based, and 122 metabolites-based biomarkers. To explore the information in the resource, a web-based interactive platform was developed with searching and browsing facilities. To the best of the authors' knowledge, there is no resource that can consolidate the information contained in all the published literature. Besides this, ProCanBio is freely available and is compatible with most web browsers and devices. Eventually, we anticipate this resource will be highly useful for the research community involved in the area of prostate malignancy.

摘要

前列腺癌(PCa)是全球男性第二大致命恶性肿瘤。过去,许多研究小组研究了患者的组学图谱,并仔细研究了用于诊断和预测 PCa 的生物标志物。然而,与生物标志物相关的信息广泛分散在众多以复杂文本格式呈现的资源中,这给理解这种恶性肿瘤的发生机制和研究稳健的特征带来了阻碍。为了创建一个全面的资源,我们从 PubMed 中收集了所有与 PCa 生物标志物相关的文献。我们从总共 412 篇独特的研究文章中仔细研究了每个生物标志物的广泛信息。数据库中的每个条目都包含 PubMed ID、生物标志物名称、生物标志物类型、生物分子、来源、研究对象、验证状态以及性能指标,如敏感性、特异性和风险比(HR)。在这项研究中,我们提出了 ProCanBio,这是一个人工整理的数据库,以用户友好的表格格式保存了从 412 篇出版物中获得的 2053 个潜在 PCa 生物标志物的详细数据。其中包括 766 种基于蛋白质的、507 种基于 RNA 的、157 种基于基因组突变的、260 种基于 miRNA 的和 122 种基于代谢物的生物标志物。为了探索资源中的信息,我们开发了一个基于网络的交互式平台,具有搜索和浏览功能。据作者所知,目前没有任何资源可以整合所有已发表文献中的信息。此外,ProCanBio 是免费提供的,与大多数网络浏览器和设备兼容。最终,我们预计该资源将对从事前列腺恶性肿瘤研究的研究界非常有用。

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