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A unified model of the hierarchical and stochastic theories of gastric cancer
Gastric cancer (GC) is a life-threatening disease worldwide. Despite remarkable advances in treatments for GC, it is still fatal to many patients due to cancer progression, recurrence and metastasis. Regarding the development of novel therapeutic techniques, many studies have focused on the biologic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396111/ https://www.ncbi.nlm.nih.gov/pubmed/28301871 http://dx.doi.org/10.1038/bjc.2017.54 |
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author | Song, Yanjing Wang, Yao Tong, Chuan Xi, Hongqing Zhao, Xudong Wang, Yi Chen, Lin |
author_facet | Song, Yanjing Wang, Yao Tong, Chuan Xi, Hongqing Zhao, Xudong Wang, Yi Chen, Lin |
author_sort | Song, Yanjing |
collection | PubMed |
description | Gastric cancer (GC) is a life-threatening disease worldwide. Despite remarkable advances in treatments for GC, it is still fatal to many patients due to cancer progression, recurrence and metastasis. Regarding the development of novel therapeutic techniques, many studies have focused on the biological mechanisms that initiate tumours and cause treatment resistance. Tumours have traditionally been considered to result from somatic mutations, either via clonal evolution or through a stochastic model. However, emerging evidence has characterised tumours using a hierarchical organisational structure, with cancer stem cells (CSCs) at the apex. Both stochastic and hierarchical models are reasonable systems that have been hypothesised to describe tumour heterogeneity. Although each model alone inadequately explains tumour diversity, the two models can be integrated to provide a more comprehensive explanation. In this review, we discuss existing evidence supporting a unified model of gastric CSCs, including the regulatory mechanisms of this unified model in addition to the current status of stemness-related targeted therapy in GC patients. |
format | Online Article Text |
id | pubmed-5396111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53961112017-05-12 A unified model of the hierarchical and stochastic theories of gastric cancer Song, Yanjing Wang, Yao Tong, Chuan Xi, Hongqing Zhao, Xudong Wang, Yi Chen, Lin Br J Cancer Review Gastric cancer (GC) is a life-threatening disease worldwide. Despite remarkable advances in treatments for GC, it is still fatal to many patients due to cancer progression, recurrence and metastasis. Regarding the development of novel therapeutic techniques, many studies have focused on the biological mechanisms that initiate tumours and cause treatment resistance. Tumours have traditionally been considered to result from somatic mutations, either via clonal evolution or through a stochastic model. However, emerging evidence has characterised tumours using a hierarchical organisational structure, with cancer stem cells (CSCs) at the apex. Both stochastic and hierarchical models are reasonable systems that have been hypothesised to describe tumour heterogeneity. Although each model alone inadequately explains tumour diversity, the two models can be integrated to provide a more comprehensive explanation. In this review, we discuss existing evidence supporting a unified model of gastric CSCs, including the regulatory mechanisms of this unified model in addition to the current status of stemness-related targeted therapy in GC patients. Nature Publishing Group 2017-04-11 2017-03-16 /pmc/articles/PMC5396111/ /pubmed/28301871 http://dx.doi.org/10.1038/bjc.2017.54 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under the Creative Commons Attribution-Non-Commercial-Share Alike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Review Song, Yanjing Wang, Yao Tong, Chuan Xi, Hongqing Zhao, Xudong Wang, Yi Chen, Lin A unified model of the hierarchical and stochastic theories of gastric cancer |
title | A unified model of the hierarchical and stochastic theories of gastric cancer |
title_full | A unified model of the hierarchical and stochastic theories of gastric cancer |
title_fullStr | A unified model of the hierarchical and stochastic theories of gastric cancer |
title_full_unstemmed | A unified model of the hierarchical and stochastic theories of gastric cancer |
title_short | A unified model of the hierarchical and stochastic theories of gastric cancer |
title_sort | unified model of the hierarchical and stochastic theories of gastric cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396111/ https://www.ncbi.nlm.nih.gov/pubmed/28301871 http://dx.doi.org/10.1038/bjc.2017.54 |
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