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Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

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Published on: April 25, 2025

3D imaging for driving cancer discovery.

Ravian L van Ineveld^1,2, Esmée J van Vliet^1,2, Ellen J Wehrens^1,2

¹Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.

The EMBO Journal

|April 11, 2022

Summary

Three-dimensional (3D) imaging offers novel insights into cancer biology by visualizing intact samples, revealing complex cellular structures and dynamics crucial for understanding tumor progression and developing new treatments.

Keywords:

3D imaging archival tissue cancer (immuno)therapy cancer biology

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Area of Science:

Oncology
Biomedical Imaging
Cancer Research

Background:

Traditional 2D models and thin slice samples limit understanding of complex, heterogeneous tumor structures.
Tissues possess intricate cellular organization and varying functional states that are not fully captured in planar views.
Tumor heterogeneity necessitates large-scale spatial analysis for accurate cellular and structural profiling.

Purpose of the Study:

To review new insights into cancer biology revealed by 3D imaging.
To highlight advancements in 3D cancer modeling and quantitative analysis.
To discuss the future potential and challenges of 3D imaging in cancer research.

Main Methods:

Review of current literature on 3D imaging techniques in cancer research.
Analysis of spatio-phenotypic and dynamic traits visualized through volumetric imaging.
Discussion of progress in 3D cancer modeling and quantitative analysis.

Main Results:

3D imaging visualizes intact biological samples, providing a comprehensive view of cancer.
Volumetric imaging reveals spatio-phenotypic and dynamic traits of cancer previously unobserved.
3D approaches offer new perspectives on tumor progression mechanisms and treatment strategies.

Conclusions:

3D imaging significantly enhances our understanding of cancer biology and tumor architecture.
This technology promises to advance cancer treatment strategies and patient diagnosis.
Overcoming challenges in current 3D imaging trends is key to realizing its full potential in cancer research.