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

Dahua Xu1,2, Yutong Shen1,2, Nihui Zhang1,2

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This study reveals the complex links between aging and cancer using multiomics data. The Aging2Cancer database helps researchers explore these connections and find new biomarkers.

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Area of Science:

  • Biomedical research
  • Genomics
  • Cancer biology

Background:

  • Aging and cancer development involve shared regulatory processes affecting the genome, epigenome, transcriptome, and immune system.
  • Understanding the multiomics basis of aging-cancer links is crucial but challenging for researchers.

Purpose of the Study:

  • To establish a comprehensive resource for investigating the associations between aging and cancer across multiple omics levels.
  • To facilitate the exploration of gene-level relationships between aging and cancer using integrated data.

Main Methods:

  • Collected high-throughput omics data from 57 human tumors and 20 normal tissues (23,125 samples with age information).
  • Developed six analytical modules: genomic, gene expression, DNA methylation, aging/cancer hallmarks, immune landscape, and survival analysis.
  • Performed correlation and differential analyses on multiomic signatures related to aging.

Main Results:

  • Launched Aging2Cancer (http://210.37.77.200:8080/Aging2Cancer/index.jsp), a database and analysis platform.
  • The platform enables users to search and visualize gene-specific aging-cancer associations across various omics data.
  • Identified multiomic signatures linking aging and cancer at the gene level.

Conclusions:

  • Aging2Cancer serves as a valuable resource for discovering novel biomarkers.
  • The platform bridges the gap in understanding the complex relationship between aging and cancer.
  • Facilitates further research into aging-cancer connections and biomarker identification.