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In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets

High-throughput sequencing describes multiple alterations in individual tumors, but their functional relevance is often unclear. Clinic-close, individualized molecular model systems are required for functional validation and to identify therapeutic targets of high significance for each patient. Here...

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Autores principales: Carlet, Michela, Völse, Kerstin, Vergalli, Jenny, Becker, Martin, Herold, Tobias, Arner, Anja, Senft, Daniela, Jurinovic, Vindi, Liu, Wen-Hsin, Gao, Yuqiao, Dill, Veronika, Fehse, Boris, Baldus, Claudia D., Bastian, Lorenz, Lenk, Lennart, Schewe, Denis M., Bagnoli, Johannes W., Vick, Binje, Schmid, Jan Philipp, Wilhelm, Alexander, Marschalek, Rolf, Jost, Philipp J., Miething, Cornelius, Riecken, Kristoffer, Schmidt-Supprian, Marc, Binder, Vera, Jeremias, Irmela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476619/
https://www.ncbi.nlm.nih.gov/pubmed/34580292
http://dx.doi.org/10.1038/s41467-021-25963-z
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author Carlet, Michela
Völse, Kerstin
Vergalli, Jenny
Becker, Martin
Herold, Tobias
Arner, Anja
Senft, Daniela
Jurinovic, Vindi
Liu, Wen-Hsin
Gao, Yuqiao
Dill, Veronika
Fehse, Boris
Baldus, Claudia D.
Bastian, Lorenz
Lenk, Lennart
Schewe, Denis M.
Bagnoli, Johannes W.
Vick, Binje
Schmid, Jan Philipp
Wilhelm, Alexander
Marschalek, Rolf
Jost, Philipp J.
Miething, Cornelius
Riecken, Kristoffer
Schmidt-Supprian, Marc
Binder, Vera
Jeremias, Irmela
author_facet Carlet, Michela
Völse, Kerstin
Vergalli, Jenny
Becker, Martin
Herold, Tobias
Arner, Anja
Senft, Daniela
Jurinovic, Vindi
Liu, Wen-Hsin
Gao, Yuqiao
Dill, Veronika
Fehse, Boris
Baldus, Claudia D.
Bastian, Lorenz
Lenk, Lennart
Schewe, Denis M.
Bagnoli, Johannes W.
Vick, Binje
Schmid, Jan Philipp
Wilhelm, Alexander
Marschalek, Rolf
Jost, Philipp J.
Miething, Cornelius
Riecken, Kristoffer
Schmidt-Supprian, Marc
Binder, Vera
Jeremias, Irmela
author_sort Carlet, Michela
collection PubMed
description High-throughput sequencing describes multiple alterations in individual tumors, but their functional relevance is often unclear. Clinic-close, individualized molecular model systems are required for functional validation and to identify therapeutic targets of high significance for each patient. Here, we establish a Cre-ER(T2)-loxP (causes recombination, estrogen receptor mutant T2, locus of X-over P1) based inducible RNAi- (ribonucleic acid interference) mediated gene silencing system in patient-derived xenograft (PDX) models of acute leukemias in vivo. Mimicking anti-cancer therapy in patients, gene inhibition is initiated in mice harboring orthotopic tumors. In fluorochrome guided, competitive in vivo trials, silencing of the apoptosis regulator MCL1 (myeloid cell leukemia sequence 1) correlates to pharmacological MCL1 inhibition in patients´ tumors, demonstrating the ability of the method to detect therapeutic vulnerabilities. The technique identifies a major tumor-maintaining potency of the MLL-AF4 (mixed lineage leukemia, ALL1-fused gene from chromosome 4) fusion, restricted to samples carrying the translocation. DUX4 (double homeobox 4) plays an essential role in patients’ leukemias carrying the recently described DUX4-IGH (immunoglobulin heavy chain) translocation, while the downstream mediator DDIT4L (DNA-damage-inducible transcript 4 like) is identified as therapeutic vulnerability. By individualizing functional genomics in established tumors in vivo, our technique decisively complements the value chain of precision oncology. Being broadly applicable to tumors of all kinds, it will considerably reinforce personalizing anti-cancer treatment in the future.
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spelling pubmed-84766192021-10-22 In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets Carlet, Michela Völse, Kerstin Vergalli, Jenny Becker, Martin Herold, Tobias Arner, Anja Senft, Daniela Jurinovic, Vindi Liu, Wen-Hsin Gao, Yuqiao Dill, Veronika Fehse, Boris Baldus, Claudia D. Bastian, Lorenz Lenk, Lennart Schewe, Denis M. Bagnoli, Johannes W. Vick, Binje Schmid, Jan Philipp Wilhelm, Alexander Marschalek, Rolf Jost, Philipp J. Miething, Cornelius Riecken, Kristoffer Schmidt-Supprian, Marc Binder, Vera Jeremias, Irmela Nat Commun Article High-throughput sequencing describes multiple alterations in individual tumors, but their functional relevance is often unclear. Clinic-close, individualized molecular model systems are required for functional validation and to identify therapeutic targets of high significance for each patient. Here, we establish a Cre-ER(T2)-loxP (causes recombination, estrogen receptor mutant T2, locus of X-over P1) based inducible RNAi- (ribonucleic acid interference) mediated gene silencing system in patient-derived xenograft (PDX) models of acute leukemias in vivo. Mimicking anti-cancer therapy in patients, gene inhibition is initiated in mice harboring orthotopic tumors. In fluorochrome guided, competitive in vivo trials, silencing of the apoptosis regulator MCL1 (myeloid cell leukemia sequence 1) correlates to pharmacological MCL1 inhibition in patients´ tumors, demonstrating the ability of the method to detect therapeutic vulnerabilities. The technique identifies a major tumor-maintaining potency of the MLL-AF4 (mixed lineage leukemia, ALL1-fused gene from chromosome 4) fusion, restricted to samples carrying the translocation. DUX4 (double homeobox 4) plays an essential role in patients’ leukemias carrying the recently described DUX4-IGH (immunoglobulin heavy chain) translocation, while the downstream mediator DDIT4L (DNA-damage-inducible transcript 4 like) is identified as therapeutic vulnerability. By individualizing functional genomics in established tumors in vivo, our technique decisively complements the value chain of precision oncology. Being broadly applicable to tumors of all kinds, it will considerably reinforce personalizing anti-cancer treatment in the future. Nature Publishing Group UK 2021-09-27 /pmc/articles/PMC8476619/ /pubmed/34580292 http://dx.doi.org/10.1038/s41467-021-25963-z Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Carlet, Michela
Völse, Kerstin
Vergalli, Jenny
Becker, Martin
Herold, Tobias
Arner, Anja
Senft, Daniela
Jurinovic, Vindi
Liu, Wen-Hsin
Gao, Yuqiao
Dill, Veronika
Fehse, Boris
Baldus, Claudia D.
Bastian, Lorenz
Lenk, Lennart
Schewe, Denis M.
Bagnoli, Johannes W.
Vick, Binje
Schmid, Jan Philipp
Wilhelm, Alexander
Marschalek, Rolf
Jost, Philipp J.
Miething, Cornelius
Riecken, Kristoffer
Schmidt-Supprian, Marc
Binder, Vera
Jeremias, Irmela
In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title_full In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title_fullStr In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title_full_unstemmed In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title_short In vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
title_sort in vivo inducible reverse genetics in patients’ tumors to identify individual therapeutic targets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476619/
https://www.ncbi.nlm.nih.gov/pubmed/34580292
http://dx.doi.org/10.1038/s41467-021-25963-z
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