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Imaging metabolic heterogeneity in cancer
As our knowledge of cancer metabolism has increased, it has become apparent that cancer metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence of multiple and redundant metabolic pathways, altered microenvironmental conditions,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704434/ https://www.ncbi.nlm.nih.gov/pubmed/26739333 http://dx.doi.org/10.1186/s12943-015-0481-3 |
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author | Sengupta, Debanti Pratx, Guillem |
author_facet | Sengupta, Debanti Pratx, Guillem |
author_sort | Sengupta, Debanti |
collection | PubMed |
description | As our knowledge of cancer metabolism has increased, it has become apparent that cancer metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence of multiple and redundant metabolic pathways, altered microenvironmental conditions, and so on. As a result, methods in the clinic and beyond have been developed in order to image and study tumor metabolism in the in vivo and in vitro regimes. Both regimes provide unique advantages and challenges, and may be used to provide a picture of tumor metabolic heterogeneity that is spatially and temporally comprehensive. Taken together, these methods may hold the key to appropriate cancer diagnoses and treatments in the future. |
format | Online Article Text |
id | pubmed-4704434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47044342016-01-08 Imaging metabolic heterogeneity in cancer Sengupta, Debanti Pratx, Guillem Mol Cancer Review As our knowledge of cancer metabolism has increased, it has become apparent that cancer metabolic processes are extremely heterogeneous. The reasons behind this heterogeneity include genetic diversity, the existence of multiple and redundant metabolic pathways, altered microenvironmental conditions, and so on. As a result, methods in the clinic and beyond have been developed in order to image and study tumor metabolism in the in vivo and in vitro regimes. Both regimes provide unique advantages and challenges, and may be used to provide a picture of tumor metabolic heterogeneity that is spatially and temporally comprehensive. Taken together, these methods may hold the key to appropriate cancer diagnoses and treatments in the future. BioMed Central 2016-01-06 /pmc/articles/PMC4704434/ /pubmed/26739333 http://dx.doi.org/10.1186/s12943-015-0481-3 Text en © Sengupta and Pratx. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Sengupta, Debanti Pratx, Guillem Imaging metabolic heterogeneity in cancer |
title | Imaging metabolic heterogeneity in cancer |
title_full | Imaging metabolic heterogeneity in cancer |
title_fullStr | Imaging metabolic heterogeneity in cancer |
title_full_unstemmed | Imaging metabolic heterogeneity in cancer |
title_short | Imaging metabolic heterogeneity in cancer |
title_sort | imaging metabolic heterogeneity in cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704434/ https://www.ncbi.nlm.nih.gov/pubmed/26739333 http://dx.doi.org/10.1186/s12943-015-0481-3 |
work_keys_str_mv | AT senguptadebanti imagingmetabolicheterogeneityincancer AT pratxguillem imagingmetabolicheterogeneityincancer |