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November 21, 2025Molecular BiomedicineOpen Access

Multi-omics strategies for biomarker discovery and application in personalized oncology

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Authors

ZJZiming JiangHZHaoxuan ZhangYGYibo Gao

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Implication

This review demonstrates the role of multi-omics in improving cancer diagnosis and prognosis, highlighting machine learning applications and tumor heterogeneity.

Key Points

  • This review aims to synthesize multi-omics strategies for biomarker discovery in personalized oncology.
  • Review of multi-omics integration strategies
  • Analysis of analytical techniques and computational tools
  • Evaluation of machine learning and deep learning approaches
  • Highlighting the potential of multi-omics for cancer diagnosis and prognosis
  • Discussing the challenges of data heterogeneity and clinical validation
  • Emphasizing new advancements in single-cell and spatial multi-omics technologies

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/6924e3f2c0ce034ddc34effehttps://doi.org/10.1186/s43556-025-00340-0
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrating single-cell and spatial multi-omics for precision oncology: from tumor ecosystems to clinical decision-making2026
  2. 2Decoding disease and therapy through multiomics integration and systems analysis2026 · 2 citations
  3. 3Beyond the Hype: Structuring the Future of Applied Multi-Omics in Oncology2025
  4. 4Clinical Applications of Multi-Omics Integration in Disease Diagnosis2026
  5. 5Multiomics Research Strategies in Cancer: A Growing and Innovative Field2026 · 1 citations