Tumor-Immune Interaction, Surgical Treatment, and Cancer Recurrence in a Mathematical Model of Melanoma

نویسندگان

  • Steffen Eikenberry
  • Craig J. Thalhauser
  • Yang Kuang
چکیده

Malignant melanoma is a cancer of the skin arising in the melanocytes. We present a mathematical model of melanoma invasion into healthy tissue with an immune response. We use this model as a framework with which to investigate primary tumor invasion and treatment by surgical excision. We observe that the presence of immune cells can destroy tumors, hold them to minimal expansion, or, through the production of angiogenic factors, induce tumorigenic expansion. We also find that the tumor-immune system dynamic is critically important in determining the likelihood and extent of tumor regrowth following resection. We find that small metastatic lesions distal to the primary tumor mass can be held to a minimal size via the immune interaction with the larger primary tumor. Numerical experiments further suggest that metastatic disease is optimally suppressed by immune activation when the primary tumor is moderately, rather than minimally, metastatic. Furthermore, satellite lesions can become aggressively tumorigenic upon removal of the primary tumor and its associated immune tissue. This can lead to recurrence where total cancer mass increases more quickly than in primary tumor invasion, representing a clinically more dangerous disease state. These results are in line with clinical case studies involving resection of a primary melanoma followed by recurrence in local metastases.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Non melanoma skin cancers: a retrospective study in department of radiation oncology, Mashhad, Iran

Background: Non melanoma skin cancer (NMSC) is the most common cancer worldwide. In most cases, the general outlook is excellent; however, local recurrence or metastasis can occur. In this study, we investigated possible tumor and host characteristics affecting the treatment outcome in our department of radiation oncology.Method: We retrospectively studied cases with non melanoma skin cancer (N...

متن کامل

GRUNWALD-LETNIKOV SCHEME FOR SYSTEM OF CHRONIC MYELOGENOUS LEUKEMIA FRACTIONAL DIFFERENTIAL EQUATIONS AND ITS OPTIMAL CONTROL OF DRUG TREATMENT

In this article, a mathematical model describing the growth orterminating myelogenous leukemia blood cancer's cells against naive T-celland eective T-cell population of body, presented by fractional dierentialequations. We use this model to analyze the stability of the dynamics, whichoccur in the local interaction of eector-immune cell and tumor cells. Wewill also investigate the optimal contro...

متن کامل

Effect of Immune Responses Against Hydatid Cyst Antigens on Growth of Melanoma Tumor

Background: Hydatid cyst is the larval stage of the tape worm parasite, Echinococcus granulosus. Human is infected by ingestion of parasite ova excreted in dog feces. The anticancer activity of different antigens of hydatid cyst has been reported in the previous works. In this research, the role of immune system in induction of this anticancer activity has been investigated.Materials and Method...

متن کامل

The effect of interval training and consumption of Urtica dioica hydroalcoholic extract on Heat shock protein 70 and Extracellular matrix metalloproteinase inducer in C57 rats with melanoma cancer

Introduction: It has been suggested that targeted therapy of growth and immune factors may lead to more effective inhibition of tumor proliferation and recurrence in melanoma cancer. The aim of this study was to investigate the effect of interval training and consumption of Urtica dioica hydroalcoholic extract on Heat shock protein 70 (HSP70) and Extracellular matrix metalloproteinase inducer (...

متن کامل

Mathematical Modeling of Cancer Cells and Chemotherapy Protocol Dealing Optimization Using Fuzzy Differential Equations And Lypunov Stability Criterion

Mathematical models can simulate the growth and proliferation of cells in the interaction with healthy cells, the immune system and measure the toxicity of drug and its effects on healthy tissue pay. One of the main goals of modeling the structure and growth of cancer cells is to find a control model suitable for administration among patients. In this study, a new mathematical model is designed...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • PLoS Computational Biology

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2009