Work

In Silico Digital Twins of Bone Metastasis Enable Investigation of Tumor Progression and Therapy Response

Year: 2025

Type: article

Source: Cancer Research

DOI: 10.1158/0008-5472.can-25-0088

Authors: Luca Marsilio, Sergio Barrios, Stefan Maksimovic, Alice Maccarini, Elisa Serafini, Michele Grimaldi, Thomas J. Heyman, Pietro Cerveri, Stefano Casarin, Eleonora Dondossola

Institutions: Houston Methodist, Politecnico di Milano, The University of Texas MD Anderson Cancer Center, University of Pavia, Centre National de la Recherche Scientifique, Laboratoire des Sciences de l'Ingénieur pour l'Environnement, La Rochelle Université

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Cancer Prevention and Research Institute of Texas, Ministero dell'Università e della Ricerca, National Institutes of Health, University of Texas MD Anderson Cancer Center, Houston Methodist Research Institute, National Cancer Institute

Awards: G111615301, Overcoming therapy resistance by integrated computational modeling of the bone metastatic niche in prostate and renal cancers, Integrating in vivo and in silico models of prostate cancer-bone interactions to overcome anti-tumor therapy resistance, G9000034222, G9000311920

OpenAlex ID: W4414341238

FWCI: 2.948

Cites: 42

Cited by: 4

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