Literature DB >> 33440806

Dormant Tumor Cell Vaccination: A Mathematical Model of Immunological Dormancy in Triple-Negative Breast Cancer.

Reza Mehdizadeh1,2, Seyed Peyman Shariatpanahi1, Bahram Goliaei1, Sanam Peyvandi2, Curzio Rüegg2.   

Abstract

Triple-negative breast cancer (TNBC) is a molecular subtype of breast malignancy with a poor clinical prognosis. There is growing evidence that some chemotherapeutic agents induce an adaptive anti-tumor immune response. This reaction has been proposed to maintain the equilibrium phase of the immunoediting process and to control tumor growth by immunological cancer dormancy. We recently reported a model of immunological breast cancer dormancy based on the murine 4T1 TNBC model. Treatment of 4T1 cells in vitro with high-dose chemotherapy activated the type I interferon (type I IFN) signaling pathway, causing a switch from immunosuppressive to cytotoxic T lymphocyte-dependent immune response in vivo, resulting in sustained dormancy. Here, we developed a deterministic mathematical model based on the assumption that two cell subpopulations exist within the treated tumor: one population with high type I IFN signaling and immunogenicity and lower growth rate; the other population with low type I IFN signaling and immunogenicity and higher growth rate. The model reproduced cancer dormancy, elimination, and immune-escape in agreement with our previously reported experimental data. It predicted that the injection of dormant tumor cells with active type I IFN signaling results in complete growth control of the aggressive parental cancer cells injected at a later time point, but also of an already established aggressive tumor. Taken together, our results indicate that a dormant cell population can suppress the growth of an aggressive counterpart by eliciting a cytotoxic T lymphocyte-dependent immune response.

Entities:  

Keywords:  T lymphocytes; breast cancer; cancer cell vaccine; chemotherapy; immune-induced cancer dormancy; mathematical model; tumor heterogeneity; type I IFN

Year:  2021        PMID: 33440806     DOI: 10.3390/cancers13020245

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  5 in total

1.  A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice.

Authors:  Navid Mohammad Mirzaei; Zuzana Tatarova; Wenrui Hao; Navid Changizi; Alireza Asadpoure; Ioannis K Zervantonakis; Yu Hu; Young Hwan Chang; Leili Shahriyari
Journal:  J Pers Med       Date:  2022-05-17

2.  Personalized Immunotherapy Treatment Strategies for a Dynamical System of Chronic Myelogenous Leukemia.

Authors:  Paul A Valle; Luis N Coria; Corina Plata
Journal:  Cancers (Basel)       Date:  2021-04-22       Impact factor: 6.639

3.  A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration.

Authors:  Navid Mohammad Mirzaei; Sumeyye Su; Dilruba Sofia; Maura Hegarty; Mohamed H Abdel-Rahman; Alireza Asadpoure; Colleen M Cebulla; Young Hwan Chang; Wenrui Hao; Pamela R Jackson; Adrian V Lee; Daniel G Stover; Zuzana Tatarova; Ioannis K Zervantonakis; Leili Shahriyari
Journal:  J Pers Med       Date:  2021-10-15

4.  Chemoimmunotherapy Administration Protocol Design for the Treatment of Leukemia through Mathematical Modeling and In Silico Experimentation.

Authors:  Paul A Valle; Raul Garrido; Yolocuauhtli Salazar; Luis N Coria; Corina Plata
Journal:  Pharmaceutics       Date:  2022-07-01       Impact factor: 6.525

5.  Cancerous Tumor Controlled Treatment Using Search Heuristic (GA)-Based Sliding Mode and Synergetic Controller.

Authors:  Fazal Subhan; Muhammad Adnan Aziz; Inam Ullah Khan; Muhammad Fayaz; Marcin Wozniak; Jana Shafi; Muhammad Fazal Ijaz
Journal:  Cancers (Basel)       Date:  2022-08-29       Impact factor: 6.575

  5 in total

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