Can We Identify Predictive Biomarkers for Antiangiogenic Therapy of Cancer Using Mathematical Modeling?

Can we identify predictive biomarkers for antiangiogenic therapy of cancer using mathematical modeling?

Predictive biomarkers of antiangiogenic therapy for advanced hepatocellular carcinoma: where are we?

Antiangiogenic therapy, especially treatment with sorafenib, is the primary treatment for patients with advanced hepatocellular carcinoma (HCC). However, the efficacy of such therapy is modest, with low objective response rates and limited prolongation of survival times. Several researchers have investigated predictive biomarkers to help identify patients who can benefit most from antiangiogeni...

Biomarkers for monitoring antiangiogenic therapy.

A variety of antiangiogenic agents are currently available for the treatment of renal cell carcinoma. With these exciting new therapeutic agents comes the challenge of elucidating useful biomarkers to monitor patients receiving these therapies. Although many patients benefit from antiangiogenic therapies, it is often by achieving stability of their disease. Thus, development of noninvasive biom...

Stability Analysis of Mathematical Model of Virus Therapy for Cancer

In this paper, we have analyzed a mathematical model for the study of interaction between tumor cells and oncolytic viruses. The model is analyzed using stability theory of differential equations. We gain some conditions for global stability of trivial and interior equilibrium point.

Reply to Ciccolini et al.: Using mathematical modeling to predict response to antiangiogenic therapy in cancer patients.

We thank Ciccolini et al. (1) for their interest in our report (2) on a clinical study, published recently in PNAS. In that paper, we report that improved tumor vascular function after anti-VEGF therapy with carboplatin and nab-paclitaxel associates with survival in non-small cell lung cancer (NSCLC) patients. We also suggest that imaging and circulating markers of vascular normalization could ...