Mathematical modeling of multicellular tumor spheroids quantifies inter-patient and intra-tumor heterogeneity

• Published in: NPJ systems biology and applications Vol. 11; no. 1; pp. 20 - 14
• Main Authors: Malik, Adam A., Nguyen, Kyle C., Nardini, John T., Krona, Cecilia C., Flores, Kevin B., Nelander, Sven
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.02.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/67; 639/705/1041; Bioinformatics; Biology; Biomedical and Life Sciences; Brain cancer; Brain Neoplasms; Brain tumors; Cell culture; Cell migration; Cell Movement; Cell number; Cell Proliferation; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Data processing; Glioblastoma; Humans; Hypotheses; Life Sciences; Mathematical models; Multicellular tumor spheroids; Parameter estimation; Partial differential equations; Patient-Specific Modeling; Patients; Population density; Radiation therapy; Spheroids; Spheroids, Cellular - physiology; Systems Biology; Tumor Cells, Cultured - physiology; Tumors

In the study of brain tumors, patient-derived three-dimensional sphere cultures provide an important tool for studying emerging treatments. The growth of such spheroids depends on the combined effects of proliferation and migration of cells, but it is challenging to make accurate distinctions betwee...