Igniting Cold Tumors: Multi-Omics-Driven Strategies to Overcome Immune Evasion and Restore Immune Surveillance

Xinyao Huang1, Renjun Gu2,3, Ziyun Li4

  • 1The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.

Oncology Research
|October 6, 2025
PubMed

Insights

This review details how multi-omics data reveals immune evasion mechanisms in cold tumors and proposes targeted therapies. Strategies aim to convert these tumors into "hot" environments for effective immunotherapy.

Area of Science:

  • Oncology
  • Immunology
  • Genomics
  • Proteomics
  • Metabolomics

Background:

  • Cold tumors are characterized by low immune cell infiltration and an immunosuppressive tumor microenvironment (TME), leading to poor response to immunotherapy.
  • Understanding immune evasion mechanisms is crucial for developing effective cancer treatments.

Purpose of the Study:

  • To systematically review immune evasion mechanisms in cold tumors using multi-omics data.
  • To summarize therapeutic strategies for overcoming immune evasion and enhancing immunotherapy efficacy.

Main Methods:

  • Integration of genomic, transcriptomic, proteomic, metabolomic, and spatial multi-omics data.
  • Systematic literature review of studies on cold tumors and immunotherapy.

Main Results:

  • Key immune evasion mechanisms identified include WNT/β-catenin activation, TGF-β immunosuppression, metabolic reprogramming (lactate accumulation), and immune checkpoint molecule expression.
  • Promising therapeutic strategies include targeting immunosuppressive pathways (PD-1/PD-L1, TGF-β), reshaping the TME (chemokines, oncolytic viruses, vascular normalization), metabolic interventions (LDHA, GLS inhibition), neoantigen vaccines, and engineered cell therapies (TCR-T, NK cells).
  • Epigenetic regulation (HDAC inhibitors) and m6A RNA modifications show potential in reversing immune evasion.

Conclusions:

  • Multi-omics integration provides critical insights for precision immunotherapy against cold tumors.
  • Challenges in clinical translation include data heterogeneity, toxicity, and preclinical model limitations.
  • Future research should focus on dynamic multi-omics and intelligent therapeutic design to transform cold tumors into "hot" ones for immunotherapy breakthroughs.

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