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Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances
The rapid proliferation of cancer cells combined with deficient vessels cause regions of nutrient and O(2) deprivation in solid tumors. Some cancer cells can adapt to these extreme hypoxic conditions and persist to promote cancer progression. Intratumoral hypoxia has been consistently associated wit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869817/ https://www.ncbi.nlm.nih.gov/pubmed/35203334 http://dx.doi.org/10.3390/cells11040686 |
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author | Godet, Inês Doctorman, Steven Wu, Fan Gilkes, Daniele M. |
author_facet | Godet, Inês Doctorman, Steven Wu, Fan Gilkes, Daniele M. |
author_sort | Godet, Inês |
collection | PubMed |
description | The rapid proliferation of cancer cells combined with deficient vessels cause regions of nutrient and O(2) deprivation in solid tumors. Some cancer cells can adapt to these extreme hypoxic conditions and persist to promote cancer progression. Intratumoral hypoxia has been consistently associated with a worse patient prognosis. In vitro, 3D models of spheroids or organoids can recapitulate spontaneous O(2) gradients in solid tumors. Likewise, in vivo murine models of cancer reproduce the physiological levels of hypoxia that have been measured in human tumors. Given the potential clinical importance of hypoxia in cancer progression, there is an increasing need to design methods to measure O(2) concentrations. O(2) levels can be directly measured with needle-type probes, both optical and electrochemical. Alternatively, indirect, noninvasive approaches have been optimized, and include immunolabeling endogenous or exogenous markers. Fluorescent, phosphorescent, and luminescent reporters have also been employed experimentally to provide dynamic measurements of O(2) in live cells or tumors. In medical imaging, modalities such as MRI and PET are often the method of choice. This review provides a comparative overview of the main methods utilized to detect hypoxia in cell culture and preclinical models of cancer. |
format | Online Article Text |
id | pubmed-8869817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88698172022-02-25 Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances Godet, Inês Doctorman, Steven Wu, Fan Gilkes, Daniele M. Cells Review The rapid proliferation of cancer cells combined with deficient vessels cause regions of nutrient and O(2) deprivation in solid tumors. Some cancer cells can adapt to these extreme hypoxic conditions and persist to promote cancer progression. Intratumoral hypoxia has been consistently associated with a worse patient prognosis. In vitro, 3D models of spheroids or organoids can recapitulate spontaneous O(2) gradients in solid tumors. Likewise, in vivo murine models of cancer reproduce the physiological levels of hypoxia that have been measured in human tumors. Given the potential clinical importance of hypoxia in cancer progression, there is an increasing need to design methods to measure O(2) concentrations. O(2) levels can be directly measured with needle-type probes, both optical and electrochemical. Alternatively, indirect, noninvasive approaches have been optimized, and include immunolabeling endogenous or exogenous markers. Fluorescent, phosphorescent, and luminescent reporters have also been employed experimentally to provide dynamic measurements of O(2) in live cells or tumors. In medical imaging, modalities such as MRI and PET are often the method of choice. This review provides a comparative overview of the main methods utilized to detect hypoxia in cell culture and preclinical models of cancer. MDPI 2022-02-16 /pmc/articles/PMC8869817/ /pubmed/35203334 http://dx.doi.org/10.3390/cells11040686 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Godet, Inês Doctorman, Steven Wu, Fan Gilkes, Daniele M. Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title | Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title_full | Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title_fullStr | Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title_full_unstemmed | Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title_short | Detection of Hypoxia in Cancer Models: Significance, Challenges, and Advances |
title_sort | detection of hypoxia in cancer models: significance, challenges, and advances |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869817/ https://www.ncbi.nlm.nih.gov/pubmed/35203334 http://dx.doi.org/10.3390/cells11040686 |
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