ArticleScientific reports2019
Tumor Ensemble-Based Modeling and Visualization of Emergent Angiogenic Heterogeneity in Breast Cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- The vascular niche: an orchestrator of the spatiotemporal dynamics of distant metastasis.Acta pharmacologica Sinica · 2026Review
- Multidimensional data analysis and classification using SMIAL.Communications biology · 2026Article
- Predicting red blood cell transport and capillary hemodynamics in angiogenic and tumor vascular networks in silico.Biophysical journal · 2025Article
- Construction of a whole-brain panorama for glioma vasculature reveals tumor heterogeneity and blood-brain barrier disruption.Science advances · 2025Article
- Pattern recognition of microcirculation with super-resolution ultrasound imaging provides markers for early tumor response to anti-angiogenic therapy.Theranostics · 2024Article
- Vascular phenotyping of the invasive front in breast cancer using a 3D angiogenesis atlas.Microvascular research · 2023Article
- Customizable tubular model for n-furcating blood vessels and its application to 3D reconstruction of the cerebrovascular system.Medical & biological engineering & computing · 2023Article
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- Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling.In vitro models · 2023Review
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- Tissue clearing and immunostaining to visualize the spatial organization of vasculature and tumor cells in mouse liver.Frontiers in oncology · 2023Article
- Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care.AIMS public health · 2023Review
- Gradients and consequences of heterogeneity in biofilms.Nature reviews. Microbiology · 2022Review
- Systems biology of angiogenesis signaling: Computational models and omics.WIREs mechanisms of disease · 2022Review
- Immunoarchitectural patterns as potential prognostic factors for invasive ductal breast cancer.NPJ breast cancer · 2022Article
- VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology.Nature methods · 2022Article
- Article
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
- Ex Vivo MR Histology and Cytometric Feature Mapping Connect Three-dimensional in Vivo MR Images to Two-dimensional Histopathologic Images of Murine Sarcomas.Radiology. Imaging cancer · 2021Article
- Digital Pathology Analysis Quantifies Spatial Heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 Immune Markers in Triple-Negative Breast Cancer.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
There is a critical need for new tools to investigate the spatio-temporal heterogeneity and phenotypic alterations that arise in the tumor microenvironment. However, computational investigations of emergent inter- and intra-tumor angiogenic heterogeneity necessitate 3D microvascular data from 'whole-tumors' as well as "ensembles" of tumors. Until recently, technical limitations such as 3D imaging capabilities, computational power and cost precluded the incorporation of whole-tumor microvascular data in computational models. Here, we describe a novel computational approach based on multimodality, 3D whole-tumor imaging data acquired from eight orthotopic breast tumor xenografts (i.e. a tumor 'ensemble'). We assessed the heterogeneous angiogenic landscape from the microvascular to tumor ensemble scale in terms of vascular morphology, emergent hemodynamics and intravascular oxygenation. We demonstrate how the abnormal organization and hemodynamics of the tumor microvasculature give rise to unique microvascular niches within the tumor and contribute to inter- and intra-tumor heterogeneity. These tumor ensemble-based simulations together with unique data visualization approaches establish the foundation of a novel 'cancer atlas' for investigators to develop their own in silico systems biology applications. We expect this hybrid image-based modeling framework to be adaptable for the study of other tissues (e.g. brain, heart) and other vasculature-dependent diseases (e.g. stroke, myocardial infarction).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.