Modeling the hallmarks of avascular tumors
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914664348123136 |
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| author | Blom, Erik Engblom, Stefan Menz, Gesina |
| author_facet | Blom, Erik Engblom, Stefan Menz, Gesina |
| contents | We present a stochastic computational model of avascular tumors, emphasizing the detailed implementation of the first four so-called hallmarks of cancer: self-sufficiency in growth factors, resistance to growth inhibitors, avoidance of apoptosis, and unlimited growth potential. Our goal is to provide a foundational understanding of the first steps of cancer malignancy while addressing modeling uncertainties, thus bringing us closer to a first-principles grasp of this process. Preliminary numerical simulations illustrate the comprehensiveness of our perspective. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_01305 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modeling the hallmarks of avascular tumors Blom, Erik Engblom, Stefan Menz, Gesina Populations and Evolution Dynamical Systems We present a stochastic computational model of avascular tumors, emphasizing the detailed implementation of the first four so-called hallmarks of cancer: self-sufficiency in growth factors, resistance to growth inhibitors, avoidance of apoptosis, and unlimited growth potential. Our goal is to provide a foundational understanding of the first steps of cancer malignancy while addressing modeling uncertainties, thus bringing us closer to a first-principles grasp of this process. Preliminary numerical simulations illustrate the comprehensiveness of our perspective. |
| title | Modeling the hallmarks of avascular tumors |
| topic | Populations and Evolution Dynamical Systems |
| url | https://arxiv.org/abs/2402.01305 |