Probabilistic modeling of cell cycle dynamics in response to cell cycle targeting chemotherapy drugs to guide treatment strategies
Chenhui Ma, Evren Gurkan-Cavusoglu · 2025
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Description
Ma and Gurkan-Cavusoglu model how cancer cells move through their division cycle under chemotherapy, in a 2025 paper. Their probabilistic framework follows many generations of cells, tracking how drugs trigger checkpoints, cell death, and a risky workaround in which damaged cells slip past checkpoints and pass harm to their offspring.
Calibrated against real cell measurements, the model links its parameters to DNA repair quality and cell fate choices. Sensitivity analysis shows that sloppy repair under certain drug classes drives later predictions most. Across three drugs, higher doses disrupted cycle dynamics more strongly. The authors aim to guide dosing and treatment design.
Catalog record
| CREATOR | Chenhui Ma, Evren Gurkan-Cavusoglu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 98 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |