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Updated: Jan 15, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial proteomics for investigating solid tumor resistance mechanisms.

Xin Ming M Zhou1,2, Anjali J D'Amiano1, Charles Lu1

  • 1Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.

Cancer Metastasis Reviews
|October 8, 2025
PubMed
Summary

Spatial proteomics reveals how tumor immune microenvironments drive cancer resistance. Understanding immunosuppressive cells

Keywords:
Cancer resistanceImmunotherapyProteomicsSpatial biology

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Area of Science:

  • Oncology and Immunology
  • Proteomics and Bioinformatics

Background:

  • Spatial proteomics offers single-cell resolution of tumor immune microenvironments, crucial for cancer biology and treatment response prediction.
  • Therapeutic resistance remains a significant challenge, limiting the efficacy of current cancer treatments like immune checkpoint inhibitors.

Purpose of the Study:

  • To review current spatial proteomics and computational tools for studying the tumor immune microenvironment.
  • To discuss how spatial proteomics elucidates cancer resistance mechanisms across various tumor types.
  • To highlight the role of immunosuppressive cells in mediating cancer resistance.

Main Methods:

  • Profiling of tumor immune microenvironments using spatial proteomics technologies.
  • Computational analysis of spatial proteomics data.
  • Review of existing literature on spatial biology and cancer resistance.

Main Results:

  • Spatial proteomics identifies key cell populations and their interactions within solid tumors.
  • Elucidation of cancer resistance mechanisms by pinpointing immunosuppressive cell localization and protein signatures.
  • Demonstration of spatial proteomics' utility in understanding treatment resistance across multiple cancer types.

Conclusions:

  • Spatial proteomics is essential for dissecting complex tumor immune microenvironments and resistance mechanisms.
  • Investigating immunosuppressive cell localization and interactions is key to overcoming cancer resistance.
  • Future advancements in AI/machine learning and multi-omics will further enhance spatial biology's role in cancer research.