<p>Cancer nanomedicine has emerged as a transformative approach in oncology, providing targeted therapeutic strategies with enhanced efficacy and reduced systemic toxicity. The integration of multi-omics technologies has further revolutionized this field.This review was conducted based on a systematic literature search using PubMed, Web of Science, and Scopus databases. Keywords included “cancer nanomedicine,” “multi-omics,” “precision oncology,” “nanoparticle,” and related terms. The search was limited to articles published between 2000 and 2024. Only English-language full-text articles reporting original research or clinical studies relevant to omics-enhanced nanomedicine were included. This review uniquely synthesizes recent advances in omics-enhanced nanomedicine, highlighting the integration of multi-omics data for precision cancer therapy. Key innovations include omics-driven nanoparticle design, patient stratification via biomarker panels, and synergy with immunotherapy. Future directions focus on AI-aided data integration and clinical translation.</p>

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Omics-enhanced nanomedicine: integrating multi-omics for precision cancer diagnosis and therapy

  • Lihui Yan,
  • Boshi Duan,
  • Tianyou Wang,
  • Tianzuo Wang,
  • Huanyu Chi,
  • Hongji Gao

摘要

Cancer nanomedicine has emerged as a transformative approach in oncology, providing targeted therapeutic strategies with enhanced efficacy and reduced systemic toxicity. The integration of multi-omics technologies has further revolutionized this field.This review was conducted based on a systematic literature search using PubMed, Web of Science, and Scopus databases. Keywords included “cancer nanomedicine,” “multi-omics,” “precision oncology,” “nanoparticle,” and related terms. The search was limited to articles published between 2000 and 2024. Only English-language full-text articles reporting original research or clinical studies relevant to omics-enhanced nanomedicine were included. This review uniquely synthesizes recent advances in omics-enhanced nanomedicine, highlighting the integration of multi-omics data for precision cancer therapy. Key innovations include omics-driven nanoparticle design, patient stratification via biomarker panels, and synergy with immunotherapy. Future directions focus on AI-aided data integration and clinical translation.