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Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer

Clinical management of endometrial cancer (EC) is handicapped by the limited availability of second line treatments and bona fide molecular biomarkers to predict recurrence. These limitations have hampered the treatment of these patients, whose survival rates have not improved over the last four dec...

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Autores principales: Devis‐Jauregui, Laura, Vidal, August, Plata‐Peña, Laura, Santacana, Maria, García‐Mulero, Sandra, Bonifaci, Nuria, Noguera‐Delgado, Eulàlia, Ruiz, Nuria, Gil, Marta, Dorca, Eduard, Llobet, Francisco J., Coll‐Iglesias, Laura, Gassner, Katja, Martinez‐Iniesta, Maria, Rodriguez‐Barrueco, Ruth, Barahona, Marc, Marti, Lola, Viñals, Francesc, Ponce, Jordi, Sanz‐Pamplona, Rebeca, Piulats, Josep M., Vivancos, Ana, Matias‐Guiu, Xavier, Villanueva, Alberto, Llobet‐Navas, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811454/
https://www.ncbi.nlm.nih.gov/pubmed/36373729
http://dx.doi.org/10.1002/advs.202204211
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author Devis‐Jauregui, Laura
Vidal, August
Plata‐Peña, Laura
Santacana, Maria
García‐Mulero, Sandra
Bonifaci, Nuria
Noguera‐Delgado, Eulàlia
Ruiz, Nuria
Gil, Marta
Dorca, Eduard
Llobet, Francisco J.
Coll‐Iglesias, Laura
Gassner, Katja
Martinez‐Iniesta, Maria
Rodriguez‐Barrueco, Ruth
Barahona, Marc
Marti, Lola
Viñals, Francesc
Ponce, Jordi
Sanz‐Pamplona, Rebeca
Piulats, Josep M.
Vivancos, Ana
Matias‐Guiu, Xavier
Villanueva, Alberto
Llobet‐Navas, David
author_facet Devis‐Jauregui, Laura
Vidal, August
Plata‐Peña, Laura
Santacana, Maria
García‐Mulero, Sandra
Bonifaci, Nuria
Noguera‐Delgado, Eulàlia
Ruiz, Nuria
Gil, Marta
Dorca, Eduard
Llobet, Francisco J.
Coll‐Iglesias, Laura
Gassner, Katja
Martinez‐Iniesta, Maria
Rodriguez‐Barrueco, Ruth
Barahona, Marc
Marti, Lola
Viñals, Francesc
Ponce, Jordi
Sanz‐Pamplona, Rebeca
Piulats, Josep M.
Vivancos, Ana
Matias‐Guiu, Xavier
Villanueva, Alberto
Llobet‐Navas, David
author_sort Devis‐Jauregui, Laura
collection PubMed
description Clinical management of endometrial cancer (EC) is handicapped by the limited availability of second line treatments and bona fide molecular biomarkers to predict recurrence. These limitations have hampered the treatment of these patients, whose survival rates have not improved over the last four decades. The advent of coordinated studies such as The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA_UCEC) has partially solved this issue, but the lack of proper experimental systems still represents a bottleneck that precludes translational studies from successful clinical testing in EC patients. Within this context, the first study reporting the generation of a collection of endometrioid‐EC‐patient‐derived orthoxenograft (PDOX) mouse models is presented that is believed to overcome these experimental constraints and pave the way toward state‐of‐the‐art precision medicine in EC. The collection of primary tumors and derived PDOXs is characterized through an integrative approach based on transcriptomics, mutational profiles, and morphological analysis; and it is demonstrated that EC tumors engrafted in the mouse uterus retain the main molecular and morphological features from analogous tumor donors. Finally, the molecular properties of these tumors are harnessed to assess the therapeutic potential of trastuzumab, a human epidermal growth factor receptor 2 (HER2) inhibitor with growing interest in EC, using patient‐derived organotypic multicellular tumor spheroids and in vivo experiments.
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spelling pubmed-98114542023-01-05 Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer Devis‐Jauregui, Laura Vidal, August Plata‐Peña, Laura Santacana, Maria García‐Mulero, Sandra Bonifaci, Nuria Noguera‐Delgado, Eulàlia Ruiz, Nuria Gil, Marta Dorca, Eduard Llobet, Francisco J. Coll‐Iglesias, Laura Gassner, Katja Martinez‐Iniesta, Maria Rodriguez‐Barrueco, Ruth Barahona, Marc Marti, Lola Viñals, Francesc Ponce, Jordi Sanz‐Pamplona, Rebeca Piulats, Josep M. Vivancos, Ana Matias‐Guiu, Xavier Villanueva, Alberto Llobet‐Navas, David Adv Sci (Weinh) Research Articles Clinical management of endometrial cancer (EC) is handicapped by the limited availability of second line treatments and bona fide molecular biomarkers to predict recurrence. These limitations have hampered the treatment of these patients, whose survival rates have not improved over the last four decades. The advent of coordinated studies such as The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA_UCEC) has partially solved this issue, but the lack of proper experimental systems still represents a bottleneck that precludes translational studies from successful clinical testing in EC patients. Within this context, the first study reporting the generation of a collection of endometrioid‐EC‐patient‐derived orthoxenograft (PDOX) mouse models is presented that is believed to overcome these experimental constraints and pave the way toward state‐of‐the‐art precision medicine in EC. The collection of primary tumors and derived PDOXs is characterized through an integrative approach based on transcriptomics, mutational profiles, and morphological analysis; and it is demonstrated that EC tumors engrafted in the mouse uterus retain the main molecular and morphological features from analogous tumor donors. Finally, the molecular properties of these tumors are harnessed to assess the therapeutic potential of trastuzumab, a human epidermal growth factor receptor 2 (HER2) inhibitor with growing interest in EC, using patient‐derived organotypic multicellular tumor spheroids and in vivo experiments. John Wiley and Sons Inc. 2022-11-14 /pmc/articles/PMC9811454/ /pubmed/36373729 http://dx.doi.org/10.1002/advs.202204211 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Devis‐Jauregui, Laura
Vidal, August
Plata‐Peña, Laura
Santacana, Maria
García‐Mulero, Sandra
Bonifaci, Nuria
Noguera‐Delgado, Eulàlia
Ruiz, Nuria
Gil, Marta
Dorca, Eduard
Llobet, Francisco J.
Coll‐Iglesias, Laura
Gassner, Katja
Martinez‐Iniesta, Maria
Rodriguez‐Barrueco, Ruth
Barahona, Marc
Marti, Lola
Viñals, Francesc
Ponce, Jordi
Sanz‐Pamplona, Rebeca
Piulats, Josep M.
Vivancos, Ana
Matias‐Guiu, Xavier
Villanueva, Alberto
Llobet‐Navas, David
Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title_full Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title_fullStr Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title_full_unstemmed Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title_short Generation and Integrated Analysis of Advanced Patient‐Derived Orthoxenograft Models (PDOX) for the Rational Assessment of Targeted Therapies in Endometrial Cancer
title_sort generation and integrated analysis of advanced patient‐derived orthoxenograft models (pdox) for the rational assessment of targeted therapies in endometrial cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811454/
https://www.ncbi.nlm.nih.gov/pubmed/36373729
http://dx.doi.org/10.1002/advs.202204211
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