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Related Experiment Video

Updated: Dec 20, 2025

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

Multiplex Spatial Bioimaging for Combination Therapy Design.

Shuangyi Cai¹, Mayar Allam¹, Ahmet F Coskun²

¹Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Trends in Cancer

|May 30, 2020

Summary

This summary is machine-generated.

Multiplex spatial analyses reveal tumor cell heterogeneity and interactions. Understanding these spatial maps guides effective combination cancer therapies with fewer side effects and less relapse.

Keywords:

cell interactions combination therapy multiplex single-cell analysis spatial omics

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Last Updated: Dec 20, 2025

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

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Published on: June 2, 2023

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

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Published on: November 14, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Area of Science:

Oncology
Biotechnology
Systems Biology

Background:

Tumor heterogeneity poses challenges for effective cancer treatment.
Understanding cellular interactions within the tumor microenvironment is crucial for therapy design.

Purpose of the Study:

To leverage multiplex spatial analyses for dissecting tumor cellular heterogeneity.
To inform the design of targeted combination cancer therapies using spatial bioimaging data.

Main Methods:

Utilizing multiplex spatial analyses to profile protein biomarkers in patient biopsies.
Applying single-cell bioimaging techniques to map cellular abundances and interactions.
Generating spatial cellular maps to guide therapeutic strategies.

Main Results:

Detailed characterization of heterogeneous cellular compositions within tumors.
Identification of key cell-cell interactions influencing tumor progression.
Demonstration of how spatial insights can guide combination therapy selection.

Conclusions:

Multiplex spatial analyses provide mechanistic insights into tumor biology.
Spatial cellular maps are valuable for designing precision combination therapies.
This approach can lead to more efficient cancer elimination with reduced resistance and relapse.