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Updated: Jun 12, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
Tumor microenvironment-specific nanomedicine: from biology-driven to multi-omics-guided precision engineering
Jee-Eun Hwang1,2,3, Jiwoo Park1,2,3, Hong-Sik Kim1,2,3
1Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Next-generation nanomedicine can overcome tumor heterogeneity by integrating spatial multi-omics data to engineer nanoparticles. This approach enhances nanoparticle delivery and therapeutic efficacy within the complex tumor microenvironment (TME).
Area of Science:
- Oncology
- Nanomedicine
- Systems Biology
Background:
- The tumor microenvironment (TME) presents significant barriers to nanoparticle delivery and therapeutic efficacy due to its heterogeneity.
- Conventional nanomedicine strategies often fail to account for interpatient and intratumoral variations, limiting their effectiveness.
- Recent advances in multi-omics technologies offer unprecedented insights into TME complexity.
Purpose of the Study:
- To review key TME barriers impacting nanomedicine delivery.
- To propose an omics-to-design framework for engineering nanoparticles tailored to TME characteristics.
- To outline translational requirements for implementing precision nanomedicine.
Main Methods:
- Summarizing TME barriers (ECM, vasculature, hypoxia, acidosis, immune microenvironment).
- Proposing a framework integrating spatial multi-omics data with nanoparticle design.
- Discussing patient stratification, diagnostics, manufacturing, and regulatory aspects.
Main Results:
- Identification of specific TME features (receptors, barriers, niches) that govern nanoparticle behavior.
- Development of an omics-driven approach to engineer nanoparticle properties like ligand selection and release strategies.
- Highlighting the need for a shift towards stratification-matched nanomedicine libraries.
Conclusions:
- An integrated strategy combining TME biology, spatial multi-omics, and engineering is crucial for next-generation nanomedicine.
- Overcoming tumor heterogeneity requires precision engineering of nanoparticles based on spatially resolved biological data.
- This approach promises enhanced therapeutic efficacy and improved patient outcomes through tailored nanomedicine interventions.
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