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Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

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Multiscale topology characterizes dynamic tumor vascular networks.

Bernadette J Stolz¹, Jakob Kaeppler², Bostjan Markelc^2,3

¹Mathematical Institute, University of Oxford, Oxford, UK.

Science Advances

|June 10, 2022

Summary

This summary is machine-generated.

Topological data analysis offers new ways to study blood vessel networks. This method quantifies complex 3D vascular structures and their changes over time, providing insights into diseases and treatments.

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Area of Science:

Biomedical Engineering
Data Science
Mathematical Biology

Background:

High-resolution 3D imaging reveals complex vascular networks with abnormal structures like twists and loops.
Quantifying these complex vascular features over time is crucial for understanding disease progression and treatment effects.
Existing methods often analyze vascular networks at a single scale, potentially missing multiscale organizational characteristics.

Purpose of the Study:

To introduce topological data analysis as a novel method for characterizing the geometric, spatial, and temporal organization of vascular networks.
To develop and apply two topological lenses for capturing multiscale features and vessel connectivity in 3D vascular data.
To quantify spatiotemporal variations in vascular structures, including twists, loops, and avascular regions (voids).

Main Methods:

Application of topological data analysis to 3D vascular network data obtained from intravital and ultramicroscopy.
Development of two novel topological lenses to analyze multiscale features and connectivity.
Quantification of structural features such as twists, loops, and voids in vascular networks.

Main Results:

The topological approach successfully characterized the organization of 3D vascular networks.
Demonstrated quantification of spatiotemporal variations in twists, loops, and avascular regions.
Validated and quantified known trends in tortuosity and loop dynamics in response to therapeutic antibodies.
Quantified the impact of radiotherapy on vascular architecture.

Conclusions:

Topological data analysis provides a powerful framework for analyzing complex vascular networks.
This method offers a multiscale perspective that surpasses single-scale analysis limitations.
The approach enables precise quantification of vascular changes relevant to disease and treatment, such as those induced by antibodies and radiotherapy.