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This is a mathematical model describing MCF-7 cancer cell growth with interaction between tumor cells, estradiol (hormone-dependent tumor growth), natural killer cells, cytotoxic T lymphocytes and whi. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_breast_tumor_cells",
"label": "Breast Tumor Cells",
"units": "native SBML value",
"default": 1000000,
"maps_to": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.initial_breast_tumor_cells",
"description": "Initial Breast Tumor Cells. Sets the initial value of bundled SBML symbol `T`."
}
],
"outputs": [
{
"name": "breast_tumor_cells",
"maps_to": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.breast_tumor_cells",
"description": "Breast Tumor Cells observable. Maps to SBML symbol `T`."
},
{
"name": "state",
"maps_to": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.species_labels",
"description": "Mapping from selected raw SBML observable symbols to display labels."
}
]
},
"tags": [
"biomodels_ebi",
"curated",
"drug-response",
"faithful",
"oncology",
"pharmacology",
"physiology",
"radiotherapy",
"sbml",
"systemsbiology",
"tumor-growth"
],
"title": "Wei2019 - Mathematical modeling of tumor growth The MCF-7 breast cancer cell line Lab",
"models": [
{
"path": "models/core",
"alias": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model_state"
],
"from": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.state"
},
{
"to": [
"visualisation.oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model_summary"
],
"from": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model_species_labels"
],
"from": "oncology_sbml_wei2019_mathematical_modeling_of_tumor_growth_th_model1909090002_model.species_labels"
}
],
"package": "wei2019-mathematical-modeling-of-tumor-growth-the-mcf-7-7e25fd85",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "This is a mathematical model describing MCF-7 cancer cell growth with interaction between tumor cells, estradiol (hormone-dependent tumor growth), natural killer cells, cytotoxic T lymphocytes and whi. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagewei2019-mathematical-modeling-of-tumor-growth-the-mcf-7-7e25fd85
Created2026-05-16
Updated2026-06-13
biomodels_ebicurateddrug-responsefaithfuloncologypharmacologyphysiologyradiotherapysbmlsystemsbiologytumor-growthvisualisationother