Modeling tumor dynamics and predicting response to therapies in a murine pancreatic cancer model.

ABSTRACT: We seek to establish a parsimonious mathematical framework for understanding the interaction and dynamics of the response of pancreatic cancer to the NGC triple chemotherapy regimen (mNab-paclitaxel, gemcitabine, and cisplatin), stromal-targeting drugs (calcipotriol and losartan), and an immune checkpoint inhibitor (anti-PD-L1). We developed a set of ordinary differential equations describing changes in tumor size under the influence of cocktails of treatments. Parameter estimation relies on three tumor volume measurements obtained over a 14-day period in a genetically engineered pancreatic cancer model ( KrasLSL-G12D;Trp53LSL-R172H;Pdx1-Cre ). Our model reproduces tumor growth in all scenarios with an average concordance correlation coefficient (CCC) of 0.99 ± 0.01. We conduct leave-one-o

SUBMITTER: Vishwanath K 

PROVIDER: S-EPMC12586507 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature