Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration

Abstract Infantile hemangiomas (IHs) are the most common benign tumors in early childhood. They show a distinctive mechanism of tumor growth in which a rapid proliferative phase is followed by a regression phase (involution). Propranolol is an approved treatment for IHs, but its mechanism of action...

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Main Authors: Horacio Gomez-Acevedo, Yuemeng Dai, Graham Strub, Carrie Shawber, June K. Wu, Gresham T. Richter
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-60025-2
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spelling doaj-6ef3782b5b4749c5aa2635fb71f641de2021-02-23T09:31:36ZengNature Publishing GroupScientific Reports2045-23222020-02-0110111710.1038/s41598-020-60025-2Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integrationHoracio Gomez-Acevedo0Yuemeng Dai1Graham Strub2Carrie Shawber3June K. Wu4Gresham T. Richter5Department of Biomedical Informatics, University of Arkansas for Medical SciencesMesquite Rehabilitation InstituteDepartment of Otolaryngology, University of Arkansas for Medical SciencesDepartment of Surgery, New York-Presbyterian/Morgan Stanley Children’s Hospital, Columbia University, New YorkDepartment of Reproductive Sciences in Obstetrics & Gynecology and Surgery, Columbia University, New YorkDepartment of Otolaryngology, University of Arkansas for Medical SciencesAbstract Infantile hemangiomas (IHs) are the most common benign tumors in early childhood. They show a distinctive mechanism of tumor growth in which a rapid proliferative phase is followed by a regression phase (involution). Propranolol is an approved treatment for IHs, but its mechanism of action remains unclear. We integrated and harmonized microRNA and mRNA transcriptome data from newly generated microarray data on IHs with publicly available data on toxicological transcriptomics from propranolol exposure, and with microRNA data from IHs and propranolol exposure. We identified subsets of putative biomarkers for proliferation and involution as well as a small set of putative biomarkers for propranolol’s mechanism of action for IHs, namely EPAS1, LASP1, SLC25A23, MYO1B, and ALDH1A1. Based on our integrative data approach and confirmatory experiments, we concluded that hypoxia in IHs is regulated by EPAS1 (HIF-2α) instead of HIF-1α, and also that propranolol-induced apoptosis in endothelial cells may occur via mitochondrial stress.https://doi.org/10.1038/s41598-020-60025-2
collection DOAJ
language English
format Article
sources DOAJ
author Horacio Gomez-Acevedo
Yuemeng Dai
Graham Strub
Carrie Shawber
June K. Wu
Gresham T. Richter
spellingShingle Horacio Gomez-Acevedo
Yuemeng Dai
Graham Strub
Carrie Shawber
June K. Wu
Gresham T. Richter
Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
Scientific Reports
author_facet Horacio Gomez-Acevedo
Yuemeng Dai
Graham Strub
Carrie Shawber
June K. Wu
Gresham T. Richter
author_sort Horacio Gomez-Acevedo
title Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
title_short Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
title_full Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
title_fullStr Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
title_full_unstemmed Identification of putative biomarkers for Infantile Hemangiomas and Propranolol treatment via data integration
title_sort identification of putative biomarkers for infantile hemangiomas and propranolol treatment via data integration
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2020-02-01
description Abstract Infantile hemangiomas (IHs) are the most common benign tumors in early childhood. They show a distinctive mechanism of tumor growth in which a rapid proliferative phase is followed by a regression phase (involution). Propranolol is an approved treatment for IHs, but its mechanism of action remains unclear. We integrated and harmonized microRNA and mRNA transcriptome data from newly generated microarray data on IHs with publicly available data on toxicological transcriptomics from propranolol exposure, and with microRNA data from IHs and propranolol exposure. We identified subsets of putative biomarkers for proliferation and involution as well as a small set of putative biomarkers for propranolol’s mechanism of action for IHs, namely EPAS1, LASP1, SLC25A23, MYO1B, and ALDH1A1. Based on our integrative data approach and confirmatory experiments, we concluded that hypoxia in IHs is regulated by EPAS1 (HIF-2α) instead of HIF-1α, and also that propranolol-induced apoptosis in endothelial cells may occur via mitochondrial stress.
url https://doi.org/10.1038/s41598-020-60025-2
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