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The big picture: exploring the metabolic cross-talk in cancer
Metabolic reprogramming is now well established as one of the hallmarks of cancer. The renewed interest in this topic has spurred a remarkable advance in our understanding of the metabolic alterations in cancer cells and in the tumour microenvironment. Initially, this research focussed on identifyin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124556/ https://www.ncbi.nlm.nih.gov/pubmed/30154190 http://dx.doi.org/10.1242/dmm.036673 |
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author | Schulze, Almut Yuneva, Mariia |
author_facet | Schulze, Almut Yuneva, Mariia |
author_sort | Schulze, Almut |
collection | PubMed |
description | Metabolic reprogramming is now well established as one of the hallmarks of cancer. The renewed interest in this topic has spurred a remarkable advance in our understanding of the metabolic alterations in cancer cells and in the tumour microenvironment. Initially, this research focussed on identifying the metabolic processes that provided cancer cells with building blocks for growth or to prevent oxidative damage and death. In addition to providing detailed insight into the mechanisms by which oncogenic signalling pathways modulate metabolic processes, this research also revealed multiple nodes within the metabolic network that can be targeted for the selective elimination of cancer cells. However, recent years have seen a paradigm shift in the field of cancer metabolism; while early studies focussed mainly on the metabolic processes within a cancer cell, recent approaches also consider the impact of metabolic cross-talk between different cell types within the tumour or study cancer within the organismal metabolic context. The Review articles presented in this themed Special Collection of Disease Models & Mechanisms aim to provide an overview of the recent advances in the field. The Collection also contains research articles that describe how metabolic inhibition can improve the efficacy of targeted therapy and introduce a new zebrafish model to study metabolic tumour-host interactions. We also present ‘A model for life’ interviews: a new interview with Karen Vousden and a previously published one with Lewis Cantley that provide insight into these two leaders' personal scientific journeys that resulted in seminal discoveries in the field of cancer metabolism. In this Editorial, we summarise some of the key insights obtained from studying cancer metabolism. We also describe some of the many exciting developments in the field and discuss its future challenges. |
format | Online Article Text |
id | pubmed-6124556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61245562018-09-07 The big picture: exploring the metabolic cross-talk in cancer Schulze, Almut Yuneva, Mariia Dis Model Mech Editorial Metabolic reprogramming is now well established as one of the hallmarks of cancer. The renewed interest in this topic has spurred a remarkable advance in our understanding of the metabolic alterations in cancer cells and in the tumour microenvironment. Initially, this research focussed on identifying the metabolic processes that provided cancer cells with building blocks for growth or to prevent oxidative damage and death. In addition to providing detailed insight into the mechanisms by which oncogenic signalling pathways modulate metabolic processes, this research also revealed multiple nodes within the metabolic network that can be targeted for the selective elimination of cancer cells. However, recent years have seen a paradigm shift in the field of cancer metabolism; while early studies focussed mainly on the metabolic processes within a cancer cell, recent approaches also consider the impact of metabolic cross-talk between different cell types within the tumour or study cancer within the organismal metabolic context. The Review articles presented in this themed Special Collection of Disease Models & Mechanisms aim to provide an overview of the recent advances in the field. The Collection also contains research articles that describe how metabolic inhibition can improve the efficacy of targeted therapy and introduce a new zebrafish model to study metabolic tumour-host interactions. We also present ‘A model for life’ interviews: a new interview with Karen Vousden and a previously published one with Lewis Cantley that provide insight into these two leaders' personal scientific journeys that resulted in seminal discoveries in the field of cancer metabolism. In this Editorial, we summarise some of the key insights obtained from studying cancer metabolism. We also describe some of the many exciting developments in the field and discuss its future challenges. The Company of Biologists Ltd 2018-08-01 2018-08-24 /pmc/articles/PMC6124556/ /pubmed/30154190 http://dx.doi.org/10.1242/dmm.036673 Text en © 2018. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Editorial Schulze, Almut Yuneva, Mariia The big picture: exploring the metabolic cross-talk in cancer |
title | The big picture: exploring the metabolic cross-talk in cancer |
title_full | The big picture: exploring the metabolic cross-talk in cancer |
title_fullStr | The big picture: exploring the metabolic cross-talk in cancer |
title_full_unstemmed | The big picture: exploring the metabolic cross-talk in cancer |
title_short | The big picture: exploring the metabolic cross-talk in cancer |
title_sort | big picture: exploring the metabolic cross-talk in cancer |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124556/ https://www.ncbi.nlm.nih.gov/pubmed/30154190 http://dx.doi.org/10.1242/dmm.036673 |
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