REVIEW article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1648987
This article is part of the Research TopicThe Insights of Multi-Omics into the Microenvironment After Tumor Metastasis: A Paradigm Shift in Molecular Targeting Modeling and Immunotherapy for Advanced Cancer PatientsView all 15 articles
Multi-Omics Analysis of the Tumor Microenvironment After Metastasis: Advancing Toward Personalized Immunotherapy and Molecular Targeted Strategies
Provisionally accepted- 1Liaoning University of Traditional Chinese Medicine, Shenyang, China
- 2The First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, China
- 3The Second Affilliated Hospital of Liaoning University of Traditional Chinese Medicine, Hangzhou, China
- 4Zhejiang Chinese Medical University, Hangzhou, China
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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.
Keywords: Metastatic tumor microenvironment, multi-omics, Immune Evasion, therapeutic resistance, precision medicine
Received: 18 Jun 2025; Accepted: 22 Aug 2025.
Copyright: © 2025 Quan, Wu, Duan, Lv and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qing Gao, Zhejiang Chinese Medical University, Hangzhou, China
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