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Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer

We sought in our cross-sectional study to investigate the role of metabolic/hypoxial axis in the development of tamoxifen (TMX) resistance in BC patients. Quantification of plasma LncRNA Taurine upregulated-1 (TUG-1), miRNA 186-5p (miR-186), serum Sirtuin-3 (SIRT3), Peroxisome Proliferator Activator...

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Autores principales: Azzam, Hany N., El-Derany, Marwa O., Wahdan, Sara A., Faheim, Reham M., Helal, Gouda K., El-Demerdash, Ebtehal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515205/
https://www.ncbi.nlm.nih.gov/pubmed/36167713
http://dx.doi.org/10.1038/s41598-022-19977-w
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author Azzam, Hany N.
El-Derany, Marwa O.
Wahdan, Sara A.
Faheim, Reham M.
Helal, Gouda K.
El-Demerdash, Ebtehal
author_facet Azzam, Hany N.
El-Derany, Marwa O.
Wahdan, Sara A.
Faheim, Reham M.
Helal, Gouda K.
El-Demerdash, Ebtehal
author_sort Azzam, Hany N.
collection PubMed
description We sought in our cross-sectional study to investigate the role of metabolic/hypoxial axis in the development of tamoxifen (TMX) resistance in BC patients. Quantification of plasma LncRNA Taurine upregulated-1 (TUG-1), miRNA 186-5p (miR-186), serum Sirtuin-3 (SIRT3), Peroxisome Proliferator Activator Receptor alpha (PPAR-1 α) and Hypoxia Inducible Factor-1 (HIF-1α) was done in a cohort of patients divided into TMX-sensitive and TMX-resistant candidates. Multiple logistic regression and Receiver Operating Characteristic curve were developed for significant predictors. Plasma TUG-1 and miR-186 were significantly elevated in TMX resistant patients. Serum proteins SIRT3, PPAR-1 α and HIF-1α were deficient in TMX resistant patients compared to TMX sensitive patients, respectively. miR-186 was associated with respiratory symptoms, while, HIF-1α was associated with metastases in TMX resistant patients. Strong correlations were found between all parameters. A predictive model was constructed with TUG-1 and HIF-1α to estimate TMX resistance in BC patients with 88.3% sensitivity and 91.6% specificity. Hypoxia and metabolic dysregulations play important role in the development of TMX resistance in BC patients. Correlation between hypoxia, carcinogenesis and patient’s mortality have led to more aggressive phenotypes, increased risk of metastasis and resistance to TMX.
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spelling pubmed-95152052022-09-29 Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer Azzam, Hany N. El-Derany, Marwa O. Wahdan, Sara A. Faheim, Reham M. Helal, Gouda K. El-Demerdash, Ebtehal Sci Rep Article We sought in our cross-sectional study to investigate the role of metabolic/hypoxial axis in the development of tamoxifen (TMX) resistance in BC patients. Quantification of plasma LncRNA Taurine upregulated-1 (TUG-1), miRNA 186-5p (miR-186), serum Sirtuin-3 (SIRT3), Peroxisome Proliferator Activator Receptor alpha (PPAR-1 α) and Hypoxia Inducible Factor-1 (HIF-1α) was done in a cohort of patients divided into TMX-sensitive and TMX-resistant candidates. Multiple logistic regression and Receiver Operating Characteristic curve were developed for significant predictors. Plasma TUG-1 and miR-186 were significantly elevated in TMX resistant patients. Serum proteins SIRT3, PPAR-1 α and HIF-1α were deficient in TMX resistant patients compared to TMX sensitive patients, respectively. miR-186 was associated with respiratory symptoms, while, HIF-1α was associated with metastases in TMX resistant patients. Strong correlations were found between all parameters. A predictive model was constructed with TUG-1 and HIF-1α to estimate TMX resistance in BC patients with 88.3% sensitivity and 91.6% specificity. Hypoxia and metabolic dysregulations play important role in the development of TMX resistance in BC patients. Correlation between hypoxia, carcinogenesis and patient’s mortality have led to more aggressive phenotypes, increased risk of metastasis and resistance to TMX. Nature Publishing Group UK 2022-09-27 /pmc/articles/PMC9515205/ /pubmed/36167713 http://dx.doi.org/10.1038/s41598-022-19977-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Azzam, Hany N.
El-Derany, Marwa O.
Wahdan, Sara A.
Faheim, Reham M.
Helal, Gouda K.
El-Demerdash, Ebtehal
Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title_full Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title_fullStr Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title_full_unstemmed Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title_short Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
title_sort metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515205/
https://www.ncbi.nlm.nih.gov/pubmed/36167713
http://dx.doi.org/10.1038/s41598-022-19977-w
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