Asymptotic Analysis Applied to Combined TRAIL-Oncolytic Virus and PAC-1 Therapy for Granulosa Cell Tumors of the Ovary

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Abstract

Granulosa cell tumors (GCTs) of the ovary present a therapeutic challenge due to their rarity, recurrence potential, and limited responsiveness to conventional treatments. The mathematical model describes the combination treatment of a TRAIL-producing oncolytic virus with PAC-1, a small-molecule activator of procaspase. The model integrates tumor cell dynamics, viral replication, TRAIL-mediated apoptosis, and PAC-1 pharmacodynamics to simulate treatment responses under various conditions.\The mathematical results suggest that synergistic interaction between the oncolytic virus and PAC-1 can significantly enhance tumor cell killing while minimizing systemic toxicity. These findings offer mechanistic insights and predictive guidance for the preclinical development of this combination therapy, providing a promising strategy for the treatment of GCTs. In this study, we applied a new method to find the base functions to approximate the solution received from the method of directly defining the inverse mapping for systems of nonlinear differential equations to the mathematical model of ovarian cancer.

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