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Image-based modeling of vascular organization to evaluate anti-angiogenic therapy

Please always quote using this URN: urn:nbn:de:bvb:20-opus-357242
  • In tumor therapy anti-angiogenic approaches have the potential to increase the efficacy of a wide variety of subsequently or co-administered agents, possibly by improving or normalizing the defective tumor vasculature. Successful implementation of the concept of vascular normalization under anti-angiogenic therapy, however, mandates a detailed understanding of key characteristics and a respective scoring metric that defines an improved vasculature and thus a successful attempt. Here, we show that beyond commonly used parameters such as vesselIn tumor therapy anti-angiogenic approaches have the potential to increase the efficacy of a wide variety of subsequently or co-administered agents, possibly by improving or normalizing the defective tumor vasculature. Successful implementation of the concept of vascular normalization under anti-angiogenic therapy, however, mandates a detailed understanding of key characteristics and a respective scoring metric that defines an improved vasculature and thus a successful attempt. Here, we show that beyond commonly used parameters such as vessel patency and maturation, anti-angiogenic approaches largely benefit if the complex vascular network with its vessel interconnections is both qualitatively and quantitatively assessed. To gain such deeper insight the organization of vascular networks, we introduce a multi-parametric evaluation of high-resolution angiographic images based on light-sheet fluorescence microscopy images of tumors. We first could pinpoint key correlations between vessel length, straightness and diameter to describe the regular, functional and organized structure observed under physiological conditions. We found that vascular networks from experimental tumors diverted from those in healthy organs, demonstrating the dysfunctionality of the tumor vasculature not only on the level of the individual vessel but also in terms of inadequate organization into larger structures. These parameters proofed effective in scoring the degree of disorganization in different tumor entities, and more importantly in grading a potential reversal under treatment with therapeutic agents. The presented vascular network analysis will support vascular normalization assessment and future optimization of anti-angiogenic therapy.show moreshow less

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Metadaten
Author: David Ascheid, Magdalena Baumann, Caroline Funke, Julia Volz, Jürgen Pinnecker, Mike Friedrich, Marie Höhn, Rajender Nandigama, Süleyman Ergün, Bernhard Nieswandt, Katrin G. Heinze, Erik Henke
URN:urn:nbn:de:bvb:20-opus-357242
Document Type:Journal article
Faculties:Graduate Schools / Graduate School of Life Sciences
Medizinische Fakultät / Institut für Anatomie und Zellbiologie
Medizinische Fakultät / Institut für Experimentelle Biomedizin
Language:English
Parent Title (English):Biology Direct
Year of Completion:2023
Volume:18
Article Number:10
Source:Biology Direct (2023) 18:10. https://doi.org/10.1186/s13062-023-00365-x
DOI:https://doi.org/10.1186/s13062-023-00365-x
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:3D image analysis; cancer; light sheet fluorescence microscopy; optical clearing; tumor microenvironment; vascular structure
Release Date:2024/05/28
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International