In silico modeling predicts drug sensitivity of patient-derived cancer cells

Context Sensitive Modeling of Cancer Drug Sensitivity

Recent screening of drug sensitivity in large panels of cancer cell lines provides a valuable resource towards developing algorithms that predict drug response. Since more samples provide increased statistical power, most approaches to prediction of drug sensitivity pool multiple cancer types together without distinction. However, pan-cancer results can be misleading due to the confounding effe...

The Use of Endometrial Cancer Patient–Derived Organoid Culture for Drug Sensitivity Testing Is Feasible

OBJECTIVE Patient-derived organoids (PDOs), used in multiple tumor types, have allowed evaluation of tumor characteristics from individual patients. This study aimed to assess the feasibility of applying PDO in vitro culture for endocrine-based and drug sensitivity testing in endometrial cancer. METHODS Endometrial cancer cells were enzymatically dissociated from tumors retrieved from fresh h...

Patient-derived cells modeling pediatric glioma

In Silico Activity of AS1411 Aptamer Against Nucleolin of Cancer Cells

Background: It has been expected that AS1411 aptamer could work against the cancer cells. Although the general information is available, there is still lack of details for the purpose. Therefore, activity of AS1411 aptamer against the nucleolin (NCL) target of cancer cells has been investigated in current work at the molecular scale. In addition, the same features have been also investigated fo...

Mathematical Modeling and Lyapunov-Based Drug Administration in Cancer Chemotherapy

In this paper a new mathematical model is developed for the dynamics between tumor cells, normal cells, immune cells, chemotherapy drug concentration and drug toxicity. Then, the theorem of Lyapunov stability is applied to design treatment strategies for drug protocols that ensure a desired rate of tumor cell kill and push the system to the area with smaller tumor cells. Using of this theorem a...