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An Updated Overview of Existing Cancer Databases and Identified Needs

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BIOLOGY-BASEL
卷 12, 期 8, 页码 -

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MDPI
DOI: 10.3390/biology12081152

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cancer; database; genomic; proteomic; lipidomic; glycomic; clinical trials

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Our investigation of cancer databases aimed to evaluate the current state and identify key requirements. We analyzed 71 databases, focusing on genomics, proteomics, lipidomics, and glycomics. Our findings revealed a lack of cancer-related lipidomic and glycomic databases, indicating a need for further development in these areas. The availability of proteomic databases dedicated to cancer research was also limited. In addition, we assessed non-cancer databases in the fields of proteomics, lipidomics, and glycomics to gauge progress over the past eight years. Our analysis included various types of cancer databases, such as clinical trial databases and web servers. By evaluating user-friendliness through the FAIRness principle, we ensured that the databases were easily accessible and usable. Our search summary highlights significant growth in cancer databases while pinpointing gaps and requirements. These insights are invaluable to researchers, clinicians, and database developers, as they guide efforts to enhance accessibility, integration, and usability. Fulfilling these needs will promote advancements in cancer research and benefit the broader cancer community.
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.

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