Behavior of tumors under nonstationary theraphy

TL;DR

This paper models lymphocyte-tumor interactions and analyzes the effects of periodic immunotherapy, identifying thresholds for treatment parameters that could control or reduce tumor growth effectively.

Contribution

It introduces a dynamic model for tumor-immune interactions incorporating periodic cytokine therapy and analyzes optimal treatment parameters.

Findings

Threshold values for therapy frequency and doses can control tumor growth.

Constant cytokine doses may be effective for tumor treatment.

Model reproduces all known tumor states.

Abstract

We present a model for the interaction dynamics of lymphocytes-tumor cells population. This model reproduces all known states for the tumor. Futherly,we develop it taking into account periodical immunotheraphy treatment with cytokines alone. A detailed analysis for the evolution of tumor cells as a function of frecuency and theraphy burden applied for the periodical treatment is carried out. Certain threshold values for the frecuency and applied doses are derived from this analysis. So it seems possible to control and reduce the growth of the tumor. Also, constant values for cytokines doses seems to be a succesful treatment.