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Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project

BACKGROUND: Opioid receptors are expressed not only by neural cells in the central nervous system, but also by many solid tumor cancer cells. Whether perioperative opioids given for analgesia after tumor resection surgery might inadvertently activate tumor cells, promoting recurrence or metastasis,...

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Autores principales: Belltall, Amparo, Zúñiga-Trejos, Sheila, Garrido-Cano, Iris, Eroles, Pilar, Argente-Navarro, Maria Pilar, Buggy, Donal J., Díaz-Cambronero, Oscar, Mazzinari, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960174/
https://www.ncbi.nlm.nih.gov/pubmed/35359418
http://dx.doi.org/10.3389/fonc.2022.801411
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author Belltall, Amparo
Zúñiga-Trejos, Sheila
Garrido-Cano, Iris
Eroles, Pilar
Argente-Navarro, Maria Pilar
Buggy, Donal J.
Díaz-Cambronero, Oscar
Mazzinari, Guido
author_facet Belltall, Amparo
Zúñiga-Trejos, Sheila
Garrido-Cano, Iris
Eroles, Pilar
Argente-Navarro, Maria Pilar
Buggy, Donal J.
Díaz-Cambronero, Oscar
Mazzinari, Guido
author_sort Belltall, Amparo
collection PubMed
description BACKGROUND: Opioid receptors are expressed not only by neural cells in the central nervous system, but also by many solid tumor cancer cells. Whether perioperative opioids given for analgesia after tumor resection surgery might inadvertently activate tumor cells, promoting recurrence or metastasis, remains controversial. We analysed large public gene repositories of solid tumors to investigate differences in opioid receptor expression between normal and tumor tissues and their association with long–term oncologic outcomes. METHODS: We investigated the normalized gene expression of µ, κ, δ opioid receptors (MOR, KOR, DOR), Opioid Growth Factor (OGFR), and Toll-Like 4 (TLR4) receptors in normal and tumor samples from twelve solid tumor types. We carried out mixed multivariable logistic and Cox regression analysis on whether there was an association between these receptors’ gene expression and the tissue where found, i.e., tumor or normal tissue. We also evaluated the association between tumor opioid receptor gene expression and patient disease–free interval (DFI) and overall survival (OS). RESULTS: We retrieved 8,780 tissue samples, 5,852 from tumor and 2,928 from normal tissue, of which 2,252 were from the Genotype Tissue Expression Project (GTEx) and 672 from the Cancer Genome Atlas (TCGA) repository. The Odds Ratio (OR) [95%CI] for gene expression of the specific opioid receptors in the examined tumors varied: MOR: 0.74 [0.63–0.87], KOR: 1.27 [1.17–1.37], DOR: 1.66 [1.48–1.87], TLR4: 0.29 [0.26–0.32], OGFR: 2.39 [2.05–2.78]. After controlling all confounding variables, including age and cancer stage, there was no association between tumor opioid receptor expression and long–term oncologic outcomes. CONCLUSION: Opioid receptor gene expression varies between different solid tumor types. There was no association between tumor opioid receptor expression and recurrence. Understanding the significance of opioid receptor expression on tumor cells remains elusive.
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spelling pubmed-89601742022-03-30 Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project Belltall, Amparo Zúñiga-Trejos, Sheila Garrido-Cano, Iris Eroles, Pilar Argente-Navarro, Maria Pilar Buggy, Donal J. Díaz-Cambronero, Oscar Mazzinari, Guido Front Oncol Oncology BACKGROUND: Opioid receptors are expressed not only by neural cells in the central nervous system, but also by many solid tumor cancer cells. Whether perioperative opioids given for analgesia after tumor resection surgery might inadvertently activate tumor cells, promoting recurrence or metastasis, remains controversial. We analysed large public gene repositories of solid tumors to investigate differences in opioid receptor expression between normal and tumor tissues and their association with long–term oncologic outcomes. METHODS: We investigated the normalized gene expression of µ, κ, δ opioid receptors (MOR, KOR, DOR), Opioid Growth Factor (OGFR), and Toll-Like 4 (TLR4) receptors in normal and tumor samples from twelve solid tumor types. We carried out mixed multivariable logistic and Cox regression analysis on whether there was an association between these receptors’ gene expression and the tissue where found, i.e., tumor or normal tissue. We also evaluated the association between tumor opioid receptor gene expression and patient disease–free interval (DFI) and overall survival (OS). RESULTS: We retrieved 8,780 tissue samples, 5,852 from tumor and 2,928 from normal tissue, of which 2,252 were from the Genotype Tissue Expression Project (GTEx) and 672 from the Cancer Genome Atlas (TCGA) repository. The Odds Ratio (OR) [95%CI] for gene expression of the specific opioid receptors in the examined tumors varied: MOR: 0.74 [0.63–0.87], KOR: 1.27 [1.17–1.37], DOR: 1.66 [1.48–1.87], TLR4: 0.29 [0.26–0.32], OGFR: 2.39 [2.05–2.78]. After controlling all confounding variables, including age and cancer stage, there was no association between tumor opioid receptor expression and long–term oncologic outcomes. CONCLUSION: Opioid receptor gene expression varies between different solid tumor types. There was no association between tumor opioid receptor expression and recurrence. Understanding the significance of opioid receptor expression on tumor cells remains elusive. Frontiers Media S.A. 2022-03-10 /pmc/articles/PMC8960174/ /pubmed/35359418 http://dx.doi.org/10.3389/fonc.2022.801411 Text en Copyright © 2022 Belltall, Zúñiga-Trejos, Garrido-Cano, Eroles, Argente-Navarro, Buggy, Díaz-Cambronero and Mazzinari https://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
Belltall, Amparo
Zúñiga-Trejos, Sheila
Garrido-Cano, Iris
Eroles, Pilar
Argente-Navarro, Maria Pilar
Buggy, Donal J.
Díaz-Cambronero, Oscar
Mazzinari, Guido
Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title_full Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title_fullStr Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title_full_unstemmed Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title_short Solid Tumor Opioid Receptor Expression and Oncologic Outcomes: Analysis of the Cancer Genome Atlas and Genotype Tissue Expression Project
title_sort solid tumor opioid receptor expression and oncologic outcomes: analysis of the cancer genome atlas and genotype tissue expression project
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960174/
https://www.ncbi.nlm.nih.gov/pubmed/35359418
http://dx.doi.org/10.3389/fonc.2022.801411
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