Cargando…

Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models

SIMPLE SUMMARY: Despite the major progress of precision and personalized oncology, a significant therapeutic benefit is only achieved in cases with directly druggable genetic alterations. This highlights the need for additional methods that reliably predict each individual patient’s response in a cl...

Descripción completa

Detalles Bibliográficos
Autores principales: Gatzweiler, Charlotte, Ridinger, Johannes, Herter, Sonja, Gerloff, Xenia F., ElHarouni, Dina, Berker, Yannick, Imle, Roland, Schmitt, Lukas, Kreth, Sina, Stainczyk, Sabine, Ayhan, Simay, Najafi, Sara, Krunic, Damir, Frese, Karen, Meder, Benjamin, Reuss, David, Fiesel, Petra, Schramm, Kathrin, Blattner-Johnson, Mirjam, Jones, David T. W., Banito, Ana, Westermann, Frank, Oppermann, Sina, Milde, Till, Peterziel, Heike, Witt, Olaf, Oehme, Ina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834194/
https://www.ncbi.nlm.nih.gov/pubmed/35159116
http://dx.doi.org/10.3390/cancers14030849
_version_ 1784649126180290560
author Gatzweiler, Charlotte
Ridinger, Johannes
Herter, Sonja
Gerloff, Xenia F.
ElHarouni, Dina
Berker, Yannick
Imle, Roland
Schmitt, Lukas
Kreth, Sina
Stainczyk, Sabine
Ayhan, Simay
Najafi, Sara
Krunic, Damir
Frese, Karen
Meder, Benjamin
Reuss, David
Fiesel, Petra
Schramm, Kathrin
Blattner-Johnson, Mirjam
Jones, David T. W.
Banito, Ana
Westermann, Frank
Oppermann, Sina
Milde, Till
Peterziel, Heike
Witt, Olaf
Oehme, Ina
author_facet Gatzweiler, Charlotte
Ridinger, Johannes
Herter, Sonja
Gerloff, Xenia F.
ElHarouni, Dina
Berker, Yannick
Imle, Roland
Schmitt, Lukas
Kreth, Sina
Stainczyk, Sabine
Ayhan, Simay
Najafi, Sara
Krunic, Damir
Frese, Karen
Meder, Benjamin
Reuss, David
Fiesel, Petra
Schramm, Kathrin
Blattner-Johnson, Mirjam
Jones, David T. W.
Banito, Ana
Westermann, Frank
Oppermann, Sina
Milde, Till
Peterziel, Heike
Witt, Olaf
Oehme, Ina
author_sort Gatzweiler, Charlotte
collection PubMed
description SIMPLE SUMMARY: Despite the major progress of precision and personalized oncology, a significant therapeutic benefit is only achieved in cases with directly druggable genetic alterations. This highlights the need for additional methods that reliably predict each individual patient’s response in a clinically meaningful time, e.g., through ex vivo functional drug screen profiling. Moreover, patient-derived xenograft (PDX) models are more predictive than cell culture studies, as they reconstruct cell–cell and cell–extracellular matrix (ECM) interactions and consider the tumor microenvironment, drug metabolism and toxicities. Zebrafish PDXs (zPDX) are nowadays emerging as a fast model allowing for multiple drugs to be tested at the same time in a clinically relevant time window. Here, we show that functional drug response profiling of zPDX from primary material obtained through the INdividualized Therapy FOr Relapsed Malignancies in Childhood (INFORM) pediatric precision oncology pipeline provides additional key information for personalized precision oncology. ABSTRACT: The survival rate among children with relapsed tumors remains poor, due to tumor heterogeneity, lack of directly actionable tumor drivers and multidrug resistance. Novel personalized medicine approaches tailored to each tumor are urgently needed to improve cancer treatment. Current pediatric precision oncology platforms, such as the INFORM (INdividualized Therapy FOr Relapsed Malignancies in Childhood) study, reveal that molecular profiling of tumor tissue identifies targets associated with clinical benefit in a subgroup of patients only and should be complemented with functional drug testing. In such an approach, patient-derived tumor cells are exposed to a library of approved oncological drugs in a physiological setting, e.g., in the form of animal avatars injected with patient tumor cells. We used molecularly fully characterized tumor samples from the INFORM study to compare drug screen results of individual patient-derived cell models in functional assays: (i) patient-derived spheroid cultures within a few days after tumor dissociation; (ii) tumor cells reisolated from the corresponding mouse PDX; (iii) corresponding long-term organoid-like cultures and (iv) drug evaluation with the corresponding zebrafish PDX (zPDX) model. Each model had its advantage and complemented the others for drug hit and drug combination selection. Our results provide evidence that in vivo zPDX drug screening is a promising add-on to current functional drug screening in precision medicine platforms.
format Online
Article
Text
id pubmed-8834194
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88341942022-02-12 Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models Gatzweiler, Charlotte Ridinger, Johannes Herter, Sonja Gerloff, Xenia F. ElHarouni, Dina Berker, Yannick Imle, Roland Schmitt, Lukas Kreth, Sina Stainczyk, Sabine Ayhan, Simay Najafi, Sara Krunic, Damir Frese, Karen Meder, Benjamin Reuss, David Fiesel, Petra Schramm, Kathrin Blattner-Johnson, Mirjam Jones, David T. W. Banito, Ana Westermann, Frank Oppermann, Sina Milde, Till Peterziel, Heike Witt, Olaf Oehme, Ina Cancers (Basel) Article SIMPLE SUMMARY: Despite the major progress of precision and personalized oncology, a significant therapeutic benefit is only achieved in cases with directly druggable genetic alterations. This highlights the need for additional methods that reliably predict each individual patient’s response in a clinically meaningful time, e.g., through ex vivo functional drug screen profiling. Moreover, patient-derived xenograft (PDX) models are more predictive than cell culture studies, as they reconstruct cell–cell and cell–extracellular matrix (ECM) interactions and consider the tumor microenvironment, drug metabolism and toxicities. Zebrafish PDXs (zPDX) are nowadays emerging as a fast model allowing for multiple drugs to be tested at the same time in a clinically relevant time window. Here, we show that functional drug response profiling of zPDX from primary material obtained through the INdividualized Therapy FOr Relapsed Malignancies in Childhood (INFORM) pediatric precision oncology pipeline provides additional key information for personalized precision oncology. ABSTRACT: The survival rate among children with relapsed tumors remains poor, due to tumor heterogeneity, lack of directly actionable tumor drivers and multidrug resistance. Novel personalized medicine approaches tailored to each tumor are urgently needed to improve cancer treatment. Current pediatric precision oncology platforms, such as the INFORM (INdividualized Therapy FOr Relapsed Malignancies in Childhood) study, reveal that molecular profiling of tumor tissue identifies targets associated with clinical benefit in a subgroup of patients only and should be complemented with functional drug testing. In such an approach, patient-derived tumor cells are exposed to a library of approved oncological drugs in a physiological setting, e.g., in the form of animal avatars injected with patient tumor cells. We used molecularly fully characterized tumor samples from the INFORM study to compare drug screen results of individual patient-derived cell models in functional assays: (i) patient-derived spheroid cultures within a few days after tumor dissociation; (ii) tumor cells reisolated from the corresponding mouse PDX; (iii) corresponding long-term organoid-like cultures and (iv) drug evaluation with the corresponding zebrafish PDX (zPDX) model. Each model had its advantage and complemented the others for drug hit and drug combination selection. Our results provide evidence that in vivo zPDX drug screening is a promising add-on to current functional drug screening in precision medicine platforms. MDPI 2022-02-08 /pmc/articles/PMC8834194/ /pubmed/35159116 http://dx.doi.org/10.3390/cancers14030849 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gatzweiler, Charlotte
Ridinger, Johannes
Herter, Sonja
Gerloff, Xenia F.
ElHarouni, Dina
Berker, Yannick
Imle, Roland
Schmitt, Lukas
Kreth, Sina
Stainczyk, Sabine
Ayhan, Simay
Najafi, Sara
Krunic, Damir
Frese, Karen
Meder, Benjamin
Reuss, David
Fiesel, Petra
Schramm, Kathrin
Blattner-Johnson, Mirjam
Jones, David T. W.
Banito, Ana
Westermann, Frank
Oppermann, Sina
Milde, Till
Peterziel, Heike
Witt, Olaf
Oehme, Ina
Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title_full Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title_fullStr Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title_full_unstemmed Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title_short Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models
title_sort functional therapeutic target validation using pediatric zebrafish xenograft models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834194/
https://www.ncbi.nlm.nih.gov/pubmed/35159116
http://dx.doi.org/10.3390/cancers14030849
work_keys_str_mv AT gatzweilercharlotte functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT ridingerjohannes functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT hertersonja functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT gerloffxeniaf functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT elharounidina functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT berkeryannick functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT imleroland functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT schmittlukas functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT krethsina functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT stainczyksabine functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT ayhansimay functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT najafisara functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT krunicdamir functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT fresekaren functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT mederbenjamin functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT reussdavid functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT fieselpetra functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT schrammkathrin functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT blattnerjohnsonmirjam functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT jonesdavidtw functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT banitoana functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT westermannfrank functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT oppermannsina functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT mildetill functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT peterzielheike functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT wittolaf functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels
AT oehmeina functionaltherapeutictargetvalidationusingpediatriczebrafishxenograftmodels