Cargando…
HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling
The hematopoietic stem cell (HSC) niche is a crucial driver of regeneration and malignancy. Its interaction with hematopoietic and malignant stem cells is highly complex and direct experimental observations are challenging. We here develop a mathematical model which helps relate processes in the nic...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020982/ https://www.ncbi.nlm.nih.gov/pubmed/36371719 http://dx.doi.org/10.1093/stmcls/sxac079 |
_version_ | 1784908377136037888 |
---|---|
author | Pedersen, Rasmus Kristoffer Andersen, Morten Skov, Vibe Kjær, Lasse Hasselbalch, Hans C Ottesen, Johnny T Stiehl, Thomas |
author_facet | Pedersen, Rasmus Kristoffer Andersen, Morten Skov, Vibe Kjær, Lasse Hasselbalch, Hans C Ottesen, Johnny T Stiehl, Thomas |
author_sort | Pedersen, Rasmus Kristoffer |
collection | PubMed |
description | The hematopoietic stem cell (HSC) niche is a crucial driver of regeneration and malignancy. Its interaction with hematopoietic and malignant stem cells is highly complex and direct experimental observations are challenging. We here develop a mathematical model which helps relate processes in the niche to measurable changes of stem and non-stem cell counts. HSC attached to the niche are assumed to be quiescent. After detachment HSC become activated and divide or differentiate. To maintain their stemness, the progeny originating from division must reattach to the niche. We use mouse data from literature to parametrize the model. By combining mathematical analysis and computer simulations, we systematically investigate the impact of stem cell proliferation, differentiation, niche attachment, and detachment on clinically relevant scenarios. These include bone marrow transplantation, clonal competition, and eradication of malignant cells. According to our model, sampling of blood or bulk marrow provides only limited information about cellular interactions in the niche and the clonal composition of the stem cell population. Furthermore, we investigate how interference with processes in the stem cell niche could help to increase the effect of low-dose chemotherapy or to improve the homing of genetically engineered cells. |
format | Online Article Text |
id | pubmed-10020982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100209822023-03-18 HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling Pedersen, Rasmus Kristoffer Andersen, Morten Skov, Vibe Kjær, Lasse Hasselbalch, Hans C Ottesen, Johnny T Stiehl, Thomas Stem Cells Cancer Stem Cells The hematopoietic stem cell (HSC) niche is a crucial driver of regeneration and malignancy. Its interaction with hematopoietic and malignant stem cells is highly complex and direct experimental observations are challenging. We here develop a mathematical model which helps relate processes in the niche to measurable changes of stem and non-stem cell counts. HSC attached to the niche are assumed to be quiescent. After detachment HSC become activated and divide or differentiate. To maintain their stemness, the progeny originating from division must reattach to the niche. We use mouse data from literature to parametrize the model. By combining mathematical analysis and computer simulations, we systematically investigate the impact of stem cell proliferation, differentiation, niche attachment, and detachment on clinically relevant scenarios. These include bone marrow transplantation, clonal competition, and eradication of malignant cells. According to our model, sampling of blood or bulk marrow provides only limited information about cellular interactions in the niche and the clonal composition of the stem cell population. Furthermore, we investigate how interference with processes in the stem cell niche could help to increase the effect of low-dose chemotherapy or to improve the homing of genetically engineered cells. Oxford University Press 2022-11-13 /pmc/articles/PMC10020982/ /pubmed/36371719 http://dx.doi.org/10.1093/stmcls/sxac079 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Stem Cells Pedersen, Rasmus Kristoffer Andersen, Morten Skov, Vibe Kjær, Lasse Hasselbalch, Hans C Ottesen, Johnny T Stiehl, Thomas HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title | HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title_full | HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title_fullStr | HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title_full_unstemmed | HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title_short | HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling |
title_sort | hsc niche dynamics in regeneration, pre-malignancy, and cancer: insights from mathematical modeling |
topic | Cancer Stem Cells |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020982/ https://www.ncbi.nlm.nih.gov/pubmed/36371719 http://dx.doi.org/10.1093/stmcls/sxac079 |
work_keys_str_mv | AT pedersenrasmuskristoffer hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT andersenmorten hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT skovvibe hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT kjærlasse hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT hasselbalchhansc hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT ottesenjohnnyt hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling AT stiehlthomas hscnichedynamicsinregenerationpremalignancyandcancerinsightsfrommathematicalmodeling |