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Updated: Jul 30, 2026
Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
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.
Abstract:
Spatial proteomics technologies have been pivotal in profiling tumor immune microenvironments at single-cell resolution, advancing our understanding of cancer biology, identifying key cell populations in solid tumors, and predicting treatment responses. Although immune checkpoint and molecular inhibitors have revolutionized cancer care, resistance mechanisms remain a major therapeutic challenge that hinder productive responses in a notable fraction of cancer patients. In this review, we outline current spatial proteomics and computational analysis tools for studying the tumor immune microenvironment and discuss how spatial proteomics techniques have helped elucidate cancer resistance mechanisms across multiple tumor types. In this process, we highlight the importance of investigating immunosuppressive cell populations that can mediate cancer resistance, specifically with regard to their localization, protein signatures, and surrounding interactions. Finally, we provide a look ahead at future applications of artificial intelligence/machine learning and multi-omics approaches that will help further propel our understanding of cancer resistance mechanisms through spatial biology research.
Insights
Spatial proteomics reveals how tumor immune microenvironments drive cancer resistance. Understanding immunosuppressive cells
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.
