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Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data.

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2000-
    • Subject Terms:
      Aging*/genetics ; Neoplasms*/genetics ; Genomics*/methods ; DNA Copy Number Variations*; Humans ; DNA Methylation ; Databases, Genetic ; Mutation ; Multiomics
    • 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.
      (© 2024. The Author(s).)
    • Abstract:
      Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
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    • Grant Information:
      Qhys2023-489, Qhys2023-447, HYYB2023A36, HYYB2023A06 Innovative research project for Graduate students in Hainan Province; ZDKJ2021040 Major Science and Technology Program of Hainan Province; 32160152, 32460161 National Natural Science Foundation of China
    • Contributed Indexing:
      Keywords: Aging; Cancer; Database; Multiomics
    • Publication Date:
      Date Created: 20241219 Date Completed: 20241219 Latest Revision: 20250104
    • Publication Date:
      20260130
    • Accession Number:
      PMC11656765
    • Accession Number:
      10.1186/s12864-024-11150-z
    • Accession Number:
      39695922