Literature DB >> 28382422

The Role of Exosomes in Pancreatic Cancer Microenvironment.

Avner Friedman1, Wenrui Hao2.   

Abstract

Exosomes are nanovesicles shed by cells as a means of communication with other cells. Exosomes contain mRNAs, microRNAs (miRs) and functional proteins. In the present paper, we develop a mathematical model of tumor-immune interaction by means of exosomes shed by pancreatic cancer cells and dendritic cells. Cancer cells' exosomes contain miRs that promote their proliferation and that inhibit immune response by dendritic cells, and by CD4+ and CD8+ T cells. Dendritic cells release exosomes with proteins that induce apoptosis of cancer cells and that block regulatory T cells. Simulations of the model show how the size of the pancreatic cancer can be determined by measurement of specific miRs (miR-21 and miR-203 in the case of pancreatic cancer), suggesting these miRs as biomarkers for cancer.

Entities:  

Keywords:  Exosomes; Free boundary problem; Math modeling; Partial differential equation; Tumor growth

Mesh:

Substances:

Year:  2017        PMID: 28382422     DOI: 10.1007/s11538-017-0254-9

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  12 in total

Review 1.  miRNA and Gene Expression in Pancreatic Ductal Adenocarcinoma.

Authors:  Anteneh A Tesfaye; Asfar S Azmi; Philip A Philip
Journal:  Am J Pathol       Date:  2019-01       Impact factor: 4.307

2.  Analysis of the Equilibrium Phase in Immune-Controlled Tumors Provides Hints for Designing Better Strategies for Cancer Treatment.

Authors:  Kevin Atsou; Sokchea Khou; Fabienne Anjuère; Véronique M Braud; Thierry Goudon
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

3.  Combination therapy for cancer with oncolytic virus and checkpoint inhibitor: A mathematical model.

Authors:  Avner Friedman; Xiulan Lai
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

Review 4.  Targeting dendritic cells in pancreatic ductal adenocarcinoma.

Authors:  Anton Deicher; Roland Andersson; Bobby Tingstedt; Gert Lindell; Monika Bauden; Daniel Ansari
Journal:  Cancer Cell Int       Date:  2018-06-18       Impact factor: 5.722

5.  How to schedule VEGF and PD-1 inhibitors in combination cancer therapy?

Authors:  Xiulan Lai; Avner Friedman
Journal:  BMC Syst Biol       Date:  2019-03-13

6.  TNF-α inhibitor reduces drug-resistance to anti-PD-1: A mathematical model.

Authors:  Xiulan Lai; Wenrui Hao; Avner Friedman
Journal:  PLoS One       Date:  2020-04-20       Impact factor: 3.240

7.  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

8.  Combination therapy for melanoma with BRAF/MEK inhibitor and immune checkpoint inhibitor: a mathematical model.

Authors:  Xiulan Lai; Avner Friedman
Journal:  BMC Syst Biol       Date:  2017-07-19

Review 9.  Recent advances and challenges in the recovery and purification of cellular exosomes.

Authors:  Sergio Ayala-Mar; Javier Donoso-Quezada; Roberto C Gallo-Villanueva; Victor H Perez-Gonzalez; José González-Valdez
Journal:  Electrophoresis       Date:  2019-08-12       Impact factor: 3.535

Review 10.  Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers.

Authors:  Hesam Abouali; Seied Ali Hosseini; Emma Purcell; Sunitha Nagrath; Mahla Poudineh
Journal:  Cancers (Basel)       Date:  2022-01-07       Impact factor: 6.575

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