Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer

Abstract 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...

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Main Authors: Hany N. Azzam, Marwa O. El-Derany, Sara A. Wahdan, Reham M. Faheim, Gouda K. Helal, Ebtehal El-Demerdash
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-19977-w
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author Hany N. Azzam
Marwa O. El-Derany
Sara A. Wahdan
Reham M. Faheim
Gouda K. Helal
Ebtehal El-Demerdash
author_facet Hany N. Azzam
Marwa O. El-Derany
Sara A. Wahdan
Reham M. Faheim
Gouda K. Helal
Ebtehal El-Demerdash
author_sort Hany N. Azzam
collection DOAJ
description Abstract 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 doaj.art-50bf80bedb1f42b3bbb85e9fc2b1511e2022-12-22T03:24:15ZengNature PortfolioScientific Reports2045-23222022-09-0112111310.1038/s41598-022-19977-wMetabolic/hypoxial axis predicts tamoxifen resistance in breast cancerHany N. Azzam0Marwa O. El-Derany1Sara A. Wahdan2Reham M. Faheim3Gouda K. Helal4Ebtehal El-Demerdash5Department of Pharmacology and Toxicology, Faculty of Pharmacy, Heliopolis UniversityDepartment of Biochemistry, Faculty of Pharmacy, Ain Shams UniversityDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams UniversityDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Ain Shams UniversityDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Heliopolis UniversityDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams UniversityAbstract 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.https://doi.org/10.1038/s41598-022-19977-w
spellingShingle Hany N. Azzam
Marwa O. El-Derany
Sara A. Wahdan
Reham M. Faheim
Gouda K. Helal
Ebtehal El-Demerdash
Metabolic/hypoxial axis predicts tamoxifen resistance in breast cancer
Scientific Reports
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
url https://doi.org/10.1038/s41598-022-19977-w
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AT rehammfaheim metabolichypoxialaxispredictstamoxifenresistanceinbreastcancer
AT goudakhelal metabolichypoxialaxispredictstamoxifenresistanceinbreastcancer
AT ebtehaleldemerdash metabolichypoxialaxispredictstamoxifenresistanceinbreastcancer