Integrative multi-omics approaches in cancer research: From biological networks to clinical subtypes

Yong Jin Heo, Chanwoong Hwa, Gang Hee Lee, Jae Min Park, Joon Yong An

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multi-view clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development.

Original languageEnglish
Pages (from-to)433-443
Number of pages11
JournalMolecules and cells
Issue number7
Publication statusPublished - 2021


  • Cancer research
  • Genomics
  • Multi-omics approach
  • Proteogenomics
  • Proteomics
  • Systems biology

ASJC Scopus subject areas

  • Molecular Biology
  • Cell Biology


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