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Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype
INTRODUCTION: Fluorodeoxyglucose-positron emission tomography (FDG-PET) is a widely used imaging tool for oral squamous cell carcinoma (OSCC). Preliminary studies indicate that quantification of tumor metabolic uptake may correlate with tumor hypoxia and aggressive phenotypes. METHODS: Retrospective...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481376/ https://www.ncbi.nlm.nih.gov/pubmed/32984043 http://dx.doi.org/10.3389/fonc.2020.01670 |
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author | Morand, Grégoire B. Broglie, Martina A. Schumann, Paul Huellner, Martin W. Rupp, Niels J. |
author_facet | Morand, Grégoire B. Broglie, Martina A. Schumann, Paul Huellner, Martin W. Rupp, Niels J. |
author_sort | Morand, Grégoire B. |
collection | PubMed |
description | INTRODUCTION: Fluorodeoxyglucose-positron emission tomography (FDG-PET) is a widely used imaging tool for oral squamous cell carcinoma (OSCC). Preliminary studies indicate that quantification of tumor metabolic uptake may correlate with tumor hypoxia and aggressive phenotypes. METHODS: Retrospective review of a consecutive cohort of OSCC (n = 98) with available pretherapeutic FDG-PET/CT, treated at the University Hospital Zurich. Clinico-pathologico-radiological correlation between maximum standard uptake value (SUV(max)) of the primary tumor, immunohistochemical staining for hypoxia-related proteins glucose transporter 1 (GLUT1) and hypoxia-inducible factor 1-alpha (HIF1a), depth of invasion (DOI), lymph node metastasis, and outcome was examined. RESULTS: Positive staining for GLUT1 and HIF1a on immunohistopathological analysis correlated with increased SUV(max) on pretherapeutic imaging and with increased DOI (Kruskal–Wallis, P = 0.037, and P = 0.008, respectively). SUV(max) and DOI showed a strong positive correlation (Spearman Rho, correlation coefficient = 0.451, P = 0.0003). An increase in SUV(max) predicted nodal metastasis (Kruskal–Wallis, P = 0.017) and poor local control (log rank, P = 0.047). CONCLUSION: In OSCC, FDG-PET-derived metabolic tumor parameter SUV(max) serves as a surrogate marker for hypoxia and can be used to predict tumor aggressiveness, with more invasive phenotypes and poorer local control. |
format | Online Article Text |
id | pubmed-7481376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74813762020-09-24 Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype Morand, Grégoire B. Broglie, Martina A. Schumann, Paul Huellner, Martin W. Rupp, Niels J. Front Oncol Oncology INTRODUCTION: Fluorodeoxyglucose-positron emission tomography (FDG-PET) is a widely used imaging tool for oral squamous cell carcinoma (OSCC). Preliminary studies indicate that quantification of tumor metabolic uptake may correlate with tumor hypoxia and aggressive phenotypes. METHODS: Retrospective review of a consecutive cohort of OSCC (n = 98) with available pretherapeutic FDG-PET/CT, treated at the University Hospital Zurich. Clinico-pathologico-radiological correlation between maximum standard uptake value (SUV(max)) of the primary tumor, immunohistochemical staining for hypoxia-related proteins glucose transporter 1 (GLUT1) and hypoxia-inducible factor 1-alpha (HIF1a), depth of invasion (DOI), lymph node metastasis, and outcome was examined. RESULTS: Positive staining for GLUT1 and HIF1a on immunohistopathological analysis correlated with increased SUV(max) on pretherapeutic imaging and with increased DOI (Kruskal–Wallis, P = 0.037, and P = 0.008, respectively). SUV(max) and DOI showed a strong positive correlation (Spearman Rho, correlation coefficient = 0.451, P = 0.0003). An increase in SUV(max) predicted nodal metastasis (Kruskal–Wallis, P = 0.017) and poor local control (log rank, P = 0.047). CONCLUSION: In OSCC, FDG-PET-derived metabolic tumor parameter SUV(max) serves as a surrogate marker for hypoxia and can be used to predict tumor aggressiveness, with more invasive phenotypes and poorer local control. Frontiers Media S.A. 2020-08-27 /pmc/articles/PMC7481376/ /pubmed/32984043 http://dx.doi.org/10.3389/fonc.2020.01670 Text en Copyright © 2020 Morand, Broglie, Schumann, Huellner and Rupp. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Morand, Grégoire B. Broglie, Martina A. Schumann, Paul Huellner, Martin W. Rupp, Niels J. Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title | Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title_full | Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title_fullStr | Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title_full_unstemmed | Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title_short | Histometabolic Tumor Imaging of Hypoxia in Oral Cancer: Clinicopathological Correlation for Prediction of an Aggressive Phenotype |
title_sort | histometabolic tumor imaging of hypoxia in oral cancer: clinicopathological correlation for prediction of an aggressive phenotype |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481376/ https://www.ncbi.nlm.nih.gov/pubmed/32984043 http://dx.doi.org/10.3389/fonc.2020.01670 |
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