Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data
Abstract Background Aging and tumorigenesis share intricate regulatory processes, that alter the genome, epigenome, transcriptome and immune landscape of tissues. Discovering the link between aging and cancer in terms of multiomics characteristics remains a challenge for biomedical researchers. Meth...
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| Language: | English |
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BMC
2024-12-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-024-11150-z |
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| author | Dahua Xu Yutong Shen Nihui Zhang Guoqing Deng Dehua Zheng Peihu Li Jiale Cai Guanghui Tian Qingchen Wei Hongyan Jiang Jiankai Xu Bo Wang Kongning Li |
| author_facet | Dahua Xu Yutong Shen Nihui Zhang Guoqing Deng Dehua Zheng Peihu Li Jiale Cai Guanghui Tian Qingchen Wei Hongyan Jiang Jiankai Xu Bo Wang Kongning Li |
| author_sort | Dahua Xu |
| collection | DOAJ |
| description | Abstract Background Aging and tumorigenesis share intricate regulatory processes, that alter the genome, epigenome, transcriptome and immune landscape of tissues. Discovering the link between aging and cancer in terms of multiomics characteristics remains a challenge for biomedical researchers. Methods We collected high-throughput datasets for 57 human tumors and 20 normal tissues, including 23,125 samples with age information. On the basis of these sufficient omics data, we introduced six useful modules including genomic (somatic mutation and copy number variation), gene expression, DNA methylation, hallmarks (aging and cancer), immune landscape (immune infiltration, immune pathways, immune signatures, and antitumor immune activities) and survival analysis. Correlation and differential analyses were performed for the multiomic signatures associated with aging at the gene level. Results We developed Aging2Cancer ( http://210.37.77.200:8080/Aging2Cancer/index.jsp ), which is a comprehensive database and analysis platform for revealing the associations between aging and cancer. Users can search for and visualize the results of genes of interest to explore the relationships between aging and cancer at the gene level for different omics levels. Conclusions We believe that Aging2Cancer is a valuable resource for identifying novel biomarkers and will serve as a bridge for linking aging to cancer. |
| format | Article |
| id | doaj-art-28dae3758a244cd29ebde2236a6c7d2f |
| institution | DOAJ |
| issn | 1471-2164 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj-art-28dae3758a244cd29ebde2236a6c7d2f2025-08-20T02:39:43ZengBMCBMC Genomics1471-21642024-12-012511910.1186/s12864-024-11150-zAging2Cancer: an integrated resource for linking aging to tumor multi-omics dataDahua Xu0Yutong Shen1Nihui Zhang2Guoqing Deng3Dehua Zheng4Peihu Li5Jiale Cai6Guanghui Tian7Qingchen Wei8Hongyan Jiang9Jiankai Xu10Bo Wang11Kongning Li12College of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Bioinformatics Science and Technology, Harbin Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityCollege of Biomedical Information and Engineering, Hainan Affiliated Hospital, Hainan General Hospital, Hainan Medical UniversityAbstract Background Aging and tumorigenesis share intricate regulatory processes, that alter the genome, epigenome, transcriptome and immune landscape of tissues. Discovering the link between aging and cancer in terms of multiomics characteristics remains a challenge for biomedical researchers. Methods We collected high-throughput datasets for 57 human tumors and 20 normal tissues, including 23,125 samples with age information. On the basis of these sufficient omics data, we introduced six useful modules including genomic (somatic mutation and copy number variation), gene expression, DNA methylation, hallmarks (aging and cancer), immune landscape (immune infiltration, immune pathways, immune signatures, and antitumor immune activities) and survival analysis. Correlation and differential analyses were performed for the multiomic signatures associated with aging at the gene level. Results We developed Aging2Cancer ( http://210.37.77.200:8080/Aging2Cancer/index.jsp ), which is a comprehensive database and analysis platform for revealing the associations between aging and cancer. Users can search for and visualize the results of genes of interest to explore the relationships between aging and cancer at the gene level for different omics levels. Conclusions We believe that Aging2Cancer is a valuable resource for identifying novel biomarkers and will serve as a bridge for linking aging to cancer.https://doi.org/10.1186/s12864-024-11150-zAgingCancerDatabaseMultiomics |
| spellingShingle | Dahua Xu Yutong Shen Nihui Zhang Guoqing Deng Dehua Zheng Peihu Li Jiale Cai Guanghui Tian Qingchen Wei Hongyan Jiang Jiankai Xu Bo Wang Kongning Li Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data BMC Genomics Aging Cancer Database Multiomics |
| title | Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data |
| title_full | Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data |
| title_fullStr | Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data |
| title_full_unstemmed | Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data |
| title_short | Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data |
| title_sort | aging2cancer an integrated resource for linking aging to tumor multi omics data |
| topic | Aging Cancer Database Multiomics |
| url | https://doi.org/10.1186/s12864-024-11150-z |
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