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September 24, 2025Frontiers in Immunology13 citationsOpen Access

Multi-omics analysis of the tumor microenvironment after metastasis: advancing toward personalized immunotherapy and molecular targeted strategies

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QGQing GaoHWHaibin WuLDLi Duan

Key Points

  • Multi-omics analysis reveals critical insights into the tumor microenvironment, enhancing understanding of cancer progression and therapy resistance.
  • Emerging findings indicate specific molecular signatures and intercellular interactions that drive therapeutic resistance in metastatic cancers.
  • Systematic review of recent studies provides a roadmap for personalized immunotherapeutic and molecular strategies targeting the metastatic TME.
  • This analysis may enable the development of tailored treatment approaches for advanced-stage cancers, focusing on the unique features of the tumor microenvironment.

Abstract

The metastatic tumor microenvironment (TME) is a highly dynamic and heterogeneous ecosystem that plays a critical role in promoting cancer cell colonization, immune escape, and resistance to therapy. Recent advances in multi-omics technologies—including genomics, transcriptomics, epigenomics, proteomics, and metabolomics—have enabled a systems-level understanding of the molecular reprogramming that occurs in the TME following metastasis. In this review, we systematically summarize emerging findings from recent multi-omics studies that dissect cellular composition, signaling pathways, immune landscape, and metabolic rewiring within the metastatic TME. We highlight key molecular signatures and intercellular interactions that drive metastatic progression and therapy resistance. Furthermore, we discuss how integrative multi-omics data are being leveraged to identify actionable targets and to design novel immunotherapeutic and molecular precision strategies tailored to the metastatic niche. These insights provide a scientific rationale for the development of TME-targeted approaches in the treatment of advanced-stage cancers.

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Cite This Study

Gao et al. (2025) studied this question.

synapsesocial.com/papers/68d6d8ba8b2b6861e4c3f170https://doi.org/10.3389/fimmu.2025.1648987
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