6 papers
Modeling tumor cell heterogeneity and plasticity in adaptive therapy
Rui Yue, Chenghang Li, Jinzhi Lei
Adaptive therapy (AT) is designed to postpone the emergence of drug resistance by exploiting evolutionary competition among tumor subclones. Most mathematical models of AT assume a…
Mathematical model of tumor-macrophage interactions: Elucidating the tumor-driven macrophage phenotype reprogramming
Haifeng Zhang, Yipu Qu, Wuyue Yang +1
The interplay between tumor cells and macrophages plays a central regulatory role in cancer progression. In this study, we developed a mathematical model that incorporates tumor ce…
Combination therapy for colorectal cancer with anti-PD-L1 and cancer vaccine: A multiscale mathematical model of tumor-immune interactions
Chenghang Li, Haifeng Zhang, Xiulan Lai +1
The tumor-immune system plays a critical role in colorectal cancer progression. Recent preclinical and clinical studies showed that combination therapy with anti-PD-L1 and cancer v…
Quantitative cancer-immunity cycle modeling to optimize bevacizumab and atezolizumab combination therapy for advanced renal cell carcinoma
Lei Du, Chenghang Li, Jinzhi Lei
The incidence of advanced renal cell carcinoma(RCC) has been rising, presenting significant challenges due to the limited efficacy and severe side effects of traditional radiothera…
Mathematical modeling of tumor-immune interactions: methods, applications, and future perspectives
Chenghang Li, Jinzhi Lei
Mathematical oncology is a rapidly evolving interdisciplinary field that uses mathematical models to enhance our understanding of cancer dynamics, including tumor growth, metastasi…
A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies
Yuhong Zhang, Chenghang Li, Boya Wang +1
Tumor-immune interactions are central to cancer progression and treatment outcomes. In this study, we present a stochastic agent-based model that integrates cellular heterogeneity,…