Calibrating tumor growth and invasion parameters with spectral spatial analysis of cancer biopsy tissues.
NPJ Syst Biol Appl
; 10(1): 112, 2024 Oct 02.
Article
en En
| MEDLINE
| ID: mdl-39358360
ABSTRACT
The reaction-diffusion equation is widely used in mathematical models of cancer. The calibration of model parameters based on limited clinical data is critical to using reaction-diffusion equation simulations for reliable predictions on a per-patient basis. Here, we focus on cell-level data as routinely available from tissue biopsies used for clinical cancer diagnosis. We analyze the spatial architecture in biopsy tissues stained with multiplex immunofluorescence. We derive a two-point correlation function and the corresponding spatial power spectral distribution. We show that this data-deduced power spectral distribution can fit the power spectrum of the solution of reaction-diffusion equations that can then identify patient-specific tumor growth and invasion rates. This approach allows the measurement of patient-specific critical tumor dynamical properties from routinely available biopsy material at a single snapshot in time.
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Invasividad Neoplásica
/
Neoplasias
Idioma:
En
Revista:
NPJ Syst Biol Appl
Año:
2024
Tipo del documento:
Article