背景：通过免费提供的癌症文献促进了癌症研究的发展，数据库,和工具。基因组学和大数据的时代引发了合作和数据共享的需求，以便在COVID-19大流行中有效利用这一新信息。虽然有许多癌症研究的数据库，由于处理和管理数据的方式不同，它们的访问并不容易。缺乏统一的平台来以透明和更易于理解的方式管理所有这些内容。
目的：在本研究中，提供了一个改进的综合癌症研究数据库和平台，以促进对癌症与COVID-19大流行之间相关性的更深入的统计洞察，统一了几乎所有以前发表的癌症数据库的集合，并为癌症研究定义了一个模型网络数据库，根据癌症的各种类型对数据库进行评分，样本量,组学结果的完整性，和用户界面。
方法：检查和集成的数据库包括数据门户数据库，基因组数据库,蛋白质组数据库,表达式数据库,基因数据库,和突变数据库；预计此次发布将进行排序，保存,促进理解并鼓励在癌症研究环境中使用这些资源。
结果：为了便于搜索有价值的信息，85个癌症数据库以表格的形式提供，并且在本文中已经建立并呈现了名为癌症研究数据库(CRDB)的数据库。此外，CRDB在此配备了独特的导航工具，以便通过三种方法进行探索；也就是说，可以通过在给定的搜索栏中键入名称来浏览任何单个数据库，而所有类别都可以通过点击类别名称或图像表达式图标进行浏览，因此，作为一个设施，可以提供所有的类别数据库在一个单一的点击。
结论：计算平台(PHP，HTML,CSS,和MySQL）用于为癌症科学界构建CRDB，可以在互联网上自由调查和浏览，并计划及时更新。此外,基于所提出的平台，本文使用CRDB彻底调查了COVID-19大流行期间癌症的状况和诊断统计数据，从而提供了一个易于管理的，可理解的框架，为未来的研究人员挖掘知识。
BACKGROUND: The advancement of cancer research has been facilitated through freely available cancer literature, databases, and tools. The age of genomics and big data has given rise to the need for cooperation and data sharing in order to make efficient use of this new information in the COVID-19 pandemic. Although there are many databases for cancer research, their access is not easy owing to different ways of processing and managing the data. There is an absence of a unified platform to manage all of them in a transparent and more comprehensible way.
OBJECTIVE: In this study, an improved integrated cancer research database and platform is provided to facilitate a deeper statistical insight into the correlation between cancer and the COVID-19 pandemic, unifying the collection of almost all previous published cancer databases and defining a model web database for cancer research, and scoring databases on the basis of the variety types of cancer, sample size, completeness of omics results, and user interface.
METHODS: Databases examined and integrated include the Data Portal database, Genomic database, Proteomic database, Expression database, Gene database, and Mutation database; and it is expected that this launch will sort, save, advance the understanding and encourage the use of these resources in the cancer research environment.
RESULTS: To make it easy to search valuable information, 85 cancer databases are provided in the form of a table, and a database of databases named the Cancer Research Database (CRDB) has been built and presented herein. Furthermore, the CRDB has been herein equipped with unique navigation tools in order to be explored by three methods; that is, any single database can be browsed by typing the name in the given search bar, while all categories can be browsed by clicking on the name of the category or image expression icon, thus serving as a facility that could provide all the category databases on a single click.
CONCLUSIONS: The computational platform (PHP, HTML, CSS, and MySQL) used to build CRDB for the cancer scientific community can be freely investigated and browsed on the internet and is planned to be updated in a timely manner. In addition, based on the proposed platform, the status and diagnoses statistics of cancer during the COVID-19 pandemic have been thoroughly investigated herein using CRDB, thus providing an easy-to-manage, understandable framework that mines knowledge for future researchers.
