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Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma

Osteosarcoma (OS) patients exhibit poor overall survival, partly due to copy number variations (CNVs) resulting in dysregulated gene expression and therapeutic resistance. To identify actionable prognostic signatures of poor overall survival, we employed a systems biology approach using public datab...

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Autores principales: Pandya, Pankita H., Cheng, Lijun, Saadatzadeh, M. Reza, Bijangi-Vishehsaraei, Khadijeh, Tang, Shan, Sinn, Anthony L., Trowbridge, Melissa A., Coy, Kathryn L., Bailey, Barbara J., Young, Courtney N., Ding, Jixin, Dobrota, Erika A., Dyer, Savannah, Elmi, Adily, Thompson, Quinton, Barghi, Farinaz, Shultz, Jeremiah, Albright, Eric A., Shannon, Harlan E., Murray, Mary E., Marshall, Mark S., Ferguson, Michael J., Bertrand, Todd E., Wurtz, L. Daniel, Batra, Sandeep, Li, Lang, Renbarger, Jamie L., Pollok, Karen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564419/
https://www.ncbi.nlm.nih.gov/pubmed/32859084
http://dx.doi.org/10.3390/cancers12092426
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author Pandya, Pankita H.
Cheng, Lijun
Saadatzadeh, M. Reza
Bijangi-Vishehsaraei, Khadijeh
Tang, Shan
Sinn, Anthony L.
Trowbridge, Melissa A.
Coy, Kathryn L.
Bailey, Barbara J.
Young, Courtney N.
Ding, Jixin
Dobrota, Erika A.
Dyer, Savannah
Elmi, Adily
Thompson, Quinton
Barghi, Farinaz
Shultz, Jeremiah
Albright, Eric A.
Shannon, Harlan E.
Murray, Mary E.
Marshall, Mark S.
Ferguson, Michael J.
Bertrand, Todd E.
Wurtz, L. Daniel
Batra, Sandeep
Li, Lang
Renbarger, Jamie L.
Pollok, Karen E.
author_facet Pandya, Pankita H.
Cheng, Lijun
Saadatzadeh, M. Reza
Bijangi-Vishehsaraei, Khadijeh
Tang, Shan
Sinn, Anthony L.
Trowbridge, Melissa A.
Coy, Kathryn L.
Bailey, Barbara J.
Young, Courtney N.
Ding, Jixin
Dobrota, Erika A.
Dyer, Savannah
Elmi, Adily
Thompson, Quinton
Barghi, Farinaz
Shultz, Jeremiah
Albright, Eric A.
Shannon, Harlan E.
Murray, Mary E.
Marshall, Mark S.
Ferguson, Michael J.
Bertrand, Todd E.
Wurtz, L. Daniel
Batra, Sandeep
Li, Lang
Renbarger, Jamie L.
Pollok, Karen E.
author_sort Pandya, Pankita H.
collection PubMed
description Osteosarcoma (OS) patients exhibit poor overall survival, partly due to copy number variations (CNVs) resulting in dysregulated gene expression and therapeutic resistance. To identify actionable prognostic signatures of poor overall survival, we employed a systems biology approach using public databases to integrate CNVs, gene expression, and survival outcomes in pediatric, adolescent, and young adult OS patients. Chromosome 8 was a hotspot for poor prognostic signatures. The MYC-RAD21 copy number gain (8q24) correlated with increased gene expression and poor overall survival in 90% of the patients (n = 85). MYC and RAD21 play a role in replication-stress, which is a therapeutically actionable network. We prioritized replication-stress regulators, bromodomain and extra-terminal proteins (BETs), and CHK1, in order to test the hypothesis that the inhibition of BET + CHK1 in MYC-RAD21+ pediatric OS models would be efficacious and safe. We demonstrate that MYC-RAD21+ pediatric OS cell lines were sensitive to the inhibition of BET (BETi) and CHK1 (CHK1i) at clinically achievable concentrations. While the potentiation of CHK1i-mediated effects by BETi was BET-BRD4-dependent, MYC expression was BET-BRD4-independent. In MYC-RAD21+ pediatric OS xenografts, BETi + CHK1i significantly decreased tumor growth, increased survival, and was well tolerated. Therefore, targeting replication stress is a promising strategy to pursue as a therapeutic option for this devastating disease.
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spelling pubmed-75644192020-10-26 Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma Pandya, Pankita H. Cheng, Lijun Saadatzadeh, M. Reza Bijangi-Vishehsaraei, Khadijeh Tang, Shan Sinn, Anthony L. Trowbridge, Melissa A. Coy, Kathryn L. Bailey, Barbara J. Young, Courtney N. Ding, Jixin Dobrota, Erika A. Dyer, Savannah Elmi, Adily Thompson, Quinton Barghi, Farinaz Shultz, Jeremiah Albright, Eric A. Shannon, Harlan E. Murray, Mary E. Marshall, Mark S. Ferguson, Michael J. Bertrand, Todd E. Wurtz, L. Daniel Batra, Sandeep Li, Lang Renbarger, Jamie L. Pollok, Karen E. Cancers (Basel) Article Osteosarcoma (OS) patients exhibit poor overall survival, partly due to copy number variations (CNVs) resulting in dysregulated gene expression and therapeutic resistance. To identify actionable prognostic signatures of poor overall survival, we employed a systems biology approach using public databases to integrate CNVs, gene expression, and survival outcomes in pediatric, adolescent, and young adult OS patients. Chromosome 8 was a hotspot for poor prognostic signatures. The MYC-RAD21 copy number gain (8q24) correlated with increased gene expression and poor overall survival in 90% of the patients (n = 85). MYC and RAD21 play a role in replication-stress, which is a therapeutically actionable network. We prioritized replication-stress regulators, bromodomain and extra-terminal proteins (BETs), and CHK1, in order to test the hypothesis that the inhibition of BET + CHK1 in MYC-RAD21+ pediatric OS models would be efficacious and safe. We demonstrate that MYC-RAD21+ pediatric OS cell lines were sensitive to the inhibition of BET (BETi) and CHK1 (CHK1i) at clinically achievable concentrations. While the potentiation of CHK1i-mediated effects by BETi was BET-BRD4-dependent, MYC expression was BET-BRD4-independent. In MYC-RAD21+ pediatric OS xenografts, BETi + CHK1i significantly decreased tumor growth, increased survival, and was well tolerated. Therefore, targeting replication stress is a promising strategy to pursue as a therapeutic option for this devastating disease. MDPI 2020-08-26 /pmc/articles/PMC7564419/ /pubmed/32859084 http://dx.doi.org/10.3390/cancers12092426 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pandya, Pankita H.
Cheng, Lijun
Saadatzadeh, M. Reza
Bijangi-Vishehsaraei, Khadijeh
Tang, Shan
Sinn, Anthony L.
Trowbridge, Melissa A.
Coy, Kathryn L.
Bailey, Barbara J.
Young, Courtney N.
Ding, Jixin
Dobrota, Erika A.
Dyer, Savannah
Elmi, Adily
Thompson, Quinton
Barghi, Farinaz
Shultz, Jeremiah
Albright, Eric A.
Shannon, Harlan E.
Murray, Mary E.
Marshall, Mark S.
Ferguson, Michael J.
Bertrand, Todd E.
Wurtz, L. Daniel
Batra, Sandeep
Li, Lang
Renbarger, Jamie L.
Pollok, Karen E.
Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title_full Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title_fullStr Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title_full_unstemmed Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title_short Systems Biology Approach Identifies Prognostic Signatures of Poor Overall Survival and Guides the Prioritization of Novel BET-CHK1 Combination Therapy for Osteosarcoma
title_sort systems biology approach identifies prognostic signatures of poor overall survival and guides the prioritization of novel bet-chk1 combination therapy for osteosarcoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564419/
https://www.ncbi.nlm.nih.gov/pubmed/32859084
http://dx.doi.org/10.3390/cancers12092426
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