Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Morand, Grégoire B., Broglie, Martina A., Schumann, Paul, Huellner, Martin W., Rupp, Niels J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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
_version_ 1783580589366968320
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
work_keys_str_mv AT morandgregoireb histometabolictumorimagingofhypoxiainoralcancerclinicopathologicalcorrelationforpredictionofanaggressivephenotype
AT brogliemartinaa histometabolictumorimagingofhypoxiainoralcancerclinicopathologicalcorrelationforpredictionofanaggressivephenotype
AT schumannpaul histometabolictumorimagingofhypoxiainoralcancerclinicopathologicalcorrelationforpredictionofanaggressivephenotype
AT huellnermartinw histometabolictumorimagingofhypoxiainoralcancerclinicopathologicalcorrelationforpredictionofanaggressivephenotype
AT ruppnielsj histometabolictumorimagingofhypoxiainoralcancerclinicopathologicalcorrelationforpredictionofanaggressivephenotype