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“Direct to Drug” screening as a precision medicine tool in multiple myeloma

Seventy-six FDA-approved oncology drugs and emerging therapeutics were evaluated in 25 multiple myeloma (MM) and 15 non-Hodgkin’s lymphoma cell lines and in 113 primary MM samples. Ex vivo drug sensitivities were mined for associations with clinical phenotype, cytogenetic, genetic mutation, and tran...

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Autores principales: Bonolo de Campos, Cecilia, Meurice, Nathalie, Petit, Joachim L., Polito, Alysia N., Zhu, Yuan Xiao, Wang, Panwen, Bruins, Laura A., Wang, Xuewei, Lopez Armenta, Ilsel D., Darvish, Susie A., Ahmann, Greg J., Henderson, Kimberly J., Tian, Shulan, Kruse, Jonas J., Stewart, William M., Larsen, Jeremy T., Reeder, Craig B., Dingli, David, Kapoor, Prashant, Kumar, Shaji K., Fonseca, Rafael, Bergsagel, P. Leif, Braggio, Esteban, Stewart, A. Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214452/
https://www.ncbi.nlm.nih.gov/pubmed/32393731
http://dx.doi.org/10.1038/s41408-020-0320-7
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author Bonolo de Campos, Cecilia
Meurice, Nathalie
Petit, Joachim L.
Polito, Alysia N.
Zhu, Yuan Xiao
Wang, Panwen
Bruins, Laura A.
Wang, Xuewei
Lopez Armenta, Ilsel D.
Darvish, Susie A.
Ahmann, Greg J.
Henderson, Kimberly J.
Tian, Shulan
Kruse, Jonas J.
Stewart, William M.
Larsen, Jeremy T.
Reeder, Craig B.
Dingli, David
Kapoor, Prashant
Kumar, Shaji K.
Fonseca, Rafael
Bergsagel, P. Leif
Braggio, Esteban
Stewart, A. Keith
author_facet Bonolo de Campos, Cecilia
Meurice, Nathalie
Petit, Joachim L.
Polito, Alysia N.
Zhu, Yuan Xiao
Wang, Panwen
Bruins, Laura A.
Wang, Xuewei
Lopez Armenta, Ilsel D.
Darvish, Susie A.
Ahmann, Greg J.
Henderson, Kimberly J.
Tian, Shulan
Kruse, Jonas J.
Stewart, William M.
Larsen, Jeremy T.
Reeder, Craig B.
Dingli, David
Kapoor, Prashant
Kumar, Shaji K.
Fonseca, Rafael
Bergsagel, P. Leif
Braggio, Esteban
Stewart, A. Keith
author_sort Bonolo de Campos, Cecilia
collection PubMed
description Seventy-six FDA-approved oncology drugs and emerging therapeutics were evaluated in 25 multiple myeloma (MM) and 15 non-Hodgkin’s lymphoma cell lines and in 113 primary MM samples. Ex vivo drug sensitivities were mined for associations with clinical phenotype, cytogenetic, genetic mutation, and transcriptional profiles. In primary MM samples, proteasome inhibitors, dinaciclib, selinexor, venetoclax, auranofin, and histone deacetylating agents had the broadest cytotoxicity. Of interest, newly diagnosed patient samples were globally less sensitive especially to bromodomain inhibitors, inhibitors of receptor tyrosine kinases or non-receptor kinases, and DNA synthesis inhibitors. Clustering demonstrated six broad groupings of drug sensitivity linked with genomic biomarkers and clinical outcomes. For example, our findings mimic clinical observations of increased venetoclax responsiveness in t(11;14) patients but also identify an increased sensitivity profile in untreated patients, standard genetic risk, low plasma cell S-Phase, and in the absence of Gain(1q) and t(4;14). In contrast, increased ex vivo responsiveness to selinexor was associated with biomarkers of poor prognosis and later relapse patients. This “direct to drug” screening resource, paired with functional genomics, has the potential to successfully direct appropriate individualized therapeutic approaches in MM and to enrich clinical trials for likely responders.
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spelling pubmed-72144522020-05-14 “Direct to Drug” screening as a precision medicine tool in multiple myeloma Bonolo de Campos, Cecilia Meurice, Nathalie Petit, Joachim L. Polito, Alysia N. Zhu, Yuan Xiao Wang, Panwen Bruins, Laura A. Wang, Xuewei Lopez Armenta, Ilsel D. Darvish, Susie A. Ahmann, Greg J. Henderson, Kimberly J. Tian, Shulan Kruse, Jonas J. Stewart, William M. Larsen, Jeremy T. Reeder, Craig B. Dingli, David Kapoor, Prashant Kumar, Shaji K. Fonseca, Rafael Bergsagel, P. Leif Braggio, Esteban Stewart, A. Keith Blood Cancer J Article Seventy-six FDA-approved oncology drugs and emerging therapeutics were evaluated in 25 multiple myeloma (MM) and 15 non-Hodgkin’s lymphoma cell lines and in 113 primary MM samples. Ex vivo drug sensitivities were mined for associations with clinical phenotype, cytogenetic, genetic mutation, and transcriptional profiles. In primary MM samples, proteasome inhibitors, dinaciclib, selinexor, venetoclax, auranofin, and histone deacetylating agents had the broadest cytotoxicity. Of interest, newly diagnosed patient samples were globally less sensitive especially to bromodomain inhibitors, inhibitors of receptor tyrosine kinases or non-receptor kinases, and DNA synthesis inhibitors. Clustering demonstrated six broad groupings of drug sensitivity linked with genomic biomarkers and clinical outcomes. For example, our findings mimic clinical observations of increased venetoclax responsiveness in t(11;14) patients but also identify an increased sensitivity profile in untreated patients, standard genetic risk, low plasma cell S-Phase, and in the absence of Gain(1q) and t(4;14). In contrast, increased ex vivo responsiveness to selinexor was associated with biomarkers of poor prognosis and later relapse patients. This “direct to drug” screening resource, paired with functional genomics, has the potential to successfully direct appropriate individualized therapeutic approaches in MM and to enrich clinical trials for likely responders. Nature Publishing Group UK 2020-05-11 /pmc/articles/PMC7214452/ /pubmed/32393731 http://dx.doi.org/10.1038/s41408-020-0320-7 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bonolo de Campos, Cecilia
Meurice, Nathalie
Petit, Joachim L.
Polito, Alysia N.
Zhu, Yuan Xiao
Wang, Panwen
Bruins, Laura A.
Wang, Xuewei
Lopez Armenta, Ilsel D.
Darvish, Susie A.
Ahmann, Greg J.
Henderson, Kimberly J.
Tian, Shulan
Kruse, Jonas J.
Stewart, William M.
Larsen, Jeremy T.
Reeder, Craig B.
Dingli, David
Kapoor, Prashant
Kumar, Shaji K.
Fonseca, Rafael
Bergsagel, P. Leif
Braggio, Esteban
Stewart, A. Keith
“Direct to Drug” screening as a precision medicine tool in multiple myeloma
title “Direct to Drug” screening as a precision medicine tool in multiple myeloma
title_full “Direct to Drug” screening as a precision medicine tool in multiple myeloma
title_fullStr “Direct to Drug” screening as a precision medicine tool in multiple myeloma
title_full_unstemmed “Direct to Drug” screening as a precision medicine tool in multiple myeloma
title_short “Direct to Drug” screening as a precision medicine tool in multiple myeloma
title_sort “direct to drug” screening as a precision medicine tool in multiple myeloma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214452/
https://www.ncbi.nlm.nih.gov/pubmed/32393731
http://dx.doi.org/10.1038/s41408-020-0320-7
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