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Alternative models of cancer stem cells: The stemness phenotype model, 10 years later
The classical cancer stem cell (CSCs) theory proposed the existence of a rare but constant subpopulation of CSCs. In this model cancer cells are organized hierarchically and are responsible for tumor resistance and tumor relapse. Thus, eliminating CSCs will eventually lead to cure of cancer. This si...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316871/ https://www.ncbi.nlm.nih.gov/pubmed/34367485 http://dx.doi.org/10.4252/wjsc.v13.i7.934 |
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author | Kaushik, Vivek Kulkarni, Yogesh Felix, Kumar Azad, Neelam Iyer, Anand Krishnan V Yakisich, Juan Sebastian |
author_facet | Kaushik, Vivek Kulkarni, Yogesh Felix, Kumar Azad, Neelam Iyer, Anand Krishnan V Yakisich, Juan Sebastian |
author_sort | Kaushik, Vivek |
collection | PubMed |
description | The classical cancer stem cell (CSCs) theory proposed the existence of a rare but constant subpopulation of CSCs. In this model cancer cells are organized hierarchically and are responsible for tumor resistance and tumor relapse. Thus, eliminating CSCs will eventually lead to cure of cancer. This simplistic model has been challenged by experimental data. In 2010 we proposed a novel and controversial alternative model of CSC biology (the Stemness Phenotype Model, SPM). The SPM proposed a non-hierarchical model of cancer biology in which there is no specific subpopulation of CSCs in tumors. Instead, cancer cells are highly plastic in term of stemness and CSCs and non-CSCs can interconvert into each other depending on the microenvironment. This model predicts the existence of cancer cells ranging from a pure CSC phenotype to pure non-CSC phenotype and that survival of a single cell can originate a new tumor. During the past 10 years, a plethora of experimental evidence in a variety of cancer types has shown that cancer cells are indeed extremely plastic and able to interconvert into cells with different stemness phenotype. In this review we will (1) briefly describe the cumulative evidence from our laboratory and others supporting the SPM; (2) the implications of the SPM in translational oncology; and (3) discuss potential strategies to develop more effective therapeutic regimens for cancer treatment. |
format | Online Article Text |
id | pubmed-8316871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-83168712021-08-05 Alternative models of cancer stem cells: The stemness phenotype model, 10 years later Kaushik, Vivek Kulkarni, Yogesh Felix, Kumar Azad, Neelam Iyer, Anand Krishnan V Yakisich, Juan Sebastian World J Stem Cells Minireviews The classical cancer stem cell (CSCs) theory proposed the existence of a rare but constant subpopulation of CSCs. In this model cancer cells are organized hierarchically and are responsible for tumor resistance and tumor relapse. Thus, eliminating CSCs will eventually lead to cure of cancer. This simplistic model has been challenged by experimental data. In 2010 we proposed a novel and controversial alternative model of CSC biology (the Stemness Phenotype Model, SPM). The SPM proposed a non-hierarchical model of cancer biology in which there is no specific subpopulation of CSCs in tumors. Instead, cancer cells are highly plastic in term of stemness and CSCs and non-CSCs can interconvert into each other depending on the microenvironment. This model predicts the existence of cancer cells ranging from a pure CSC phenotype to pure non-CSC phenotype and that survival of a single cell can originate a new tumor. During the past 10 years, a plethora of experimental evidence in a variety of cancer types has shown that cancer cells are indeed extremely plastic and able to interconvert into cells with different stemness phenotype. In this review we will (1) briefly describe the cumulative evidence from our laboratory and others supporting the SPM; (2) the implications of the SPM in translational oncology; and (3) discuss potential strategies to develop more effective therapeutic regimens for cancer treatment. Baishideng Publishing Group Inc 2021-07-26 2021-07-26 /pmc/articles/PMC8316871/ /pubmed/34367485 http://dx.doi.org/10.4252/wjsc.v13.i7.934 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Minireviews Kaushik, Vivek Kulkarni, Yogesh Felix, Kumar Azad, Neelam Iyer, Anand Krishnan V Yakisich, Juan Sebastian Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title | Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title_full | Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title_fullStr | Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title_full_unstemmed | Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title_short | Alternative models of cancer stem cells: The stemness phenotype model, 10 years later |
title_sort | alternative models of cancer stem cells: the stemness phenotype model, 10 years later |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316871/ https://www.ncbi.nlm.nih.gov/pubmed/34367485 http://dx.doi.org/10.4252/wjsc.v13.i7.934 |
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