我们对现有的癌症数据库进行了搜索，旨在评估当前的情况并确定关键需求。我们分析了71个数据库，重点关注基因组学、蛋白质组学、脂质组学和糖类组学。我们发现缺乏与癌症相关的脂质组学和糖类组学数据库，这表明在这些领域需要进一步开发。致力于癌症研究的蛋白质组学数据库也较为有限。为了评估整体进展，我们在蛋白质组学、脂质组学和糖类组学中还包括了人类非癌症数据库进行比较。这提供了过去八年中这些领域进展的见解。我们还分析了其他类型的癌症数据库，如临床试验数据库和网络服务器。评估用户友好性时，我们使用FAIR原则评估可找性、可访问性、互操作性和可重用性。这确保了数据库的易访问和可用性。我们的搜索摘要突出了癌症数据库的显著增长，同时发现了空白和需求。这些见解对于研究人员、临床医生和数据库开发者都很有价值，指导努力提高可访问性、整合性和可用性。解决这些需求将支持癌症研究的进展，并造福更广泛的癌症社区。

Our search of existing cancer databases aimed to assess the current landscape and identify key needs. We analyzed 71 databases, focusing on genomics, proteomics, lipidomics, and glycomics. We found a lack of cancer-related lipidomic and glycomic databases, indicating a need for further development in these areas. Proteomic databases dedicated to cancer research were also limited. To assess overall progress, we included human non-cancer databases in proteomics, lipidomics, and glycomics for comparison. This provided insights into advancements in these fields over the past eight years. We also analyzed other types of cancer databases, such as clinical trial databases and web servers. Evaluating user-friendliness, we used the FAIRness principle to assess findability, accessibility, interoperability, and reusability. This ensured databases were easily accessible and usable. Our search summary highlights significant growth in cancer databases while identifying gaps and needs. These insights are valuable for researchers, clinicians, and database developers, guiding efforts to enhance accessibility, integration, and usability. Addressing these needs will support advancements in cancer research and benefit the wider cancer community.