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“Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”

BACKGROUND: Patient-derived organoids (PDOs) from advanced colorectal cancer (CRC) patients could be a key platform to predict drug response and discover new biomarkers. We aimed to integrate PDO drug response with multi-omics characterization beyond genomics. METHODS: We generated 29 PDO lines from...

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Autores principales: Papaccio, Federica, García-Mico, Blanca, Gimeno-Valiente, Francisco, Cabeza-Segura, Manuel, Gambardella, Valentina, Gutiérrez-Bravo, María Fernanda, Alfaro-Cervelló, Clara, Martinez-Ciarpaglini, Carolina, Rentero-Garrido, Pilar, Zúñiga-Trejos, Sheila, Carbonell-Asins, Juan Antonio, Fleitas, Tania, Roselló, Susana, Huerta, Marisol, Sánchez del Pino, Manuel M., Sabater, Luís, Roda, Desamparados, Tarazona, Noelia, Cervantes, Andrés, Castillo, Josefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817273/
https://www.ncbi.nlm.nih.gov/pubmed/36604765
http://dx.doi.org/10.1186/s13046-022-02591-z
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author Papaccio, Federica
García-Mico, Blanca
Gimeno-Valiente, Francisco
Cabeza-Segura, Manuel
Gambardella, Valentina
Gutiérrez-Bravo, María Fernanda
Alfaro-Cervelló, Clara
Martinez-Ciarpaglini, Carolina
Rentero-Garrido, Pilar
Zúñiga-Trejos, Sheila
Carbonell-Asins, Juan Antonio
Fleitas, Tania
Roselló, Susana
Huerta, Marisol
Sánchez del Pino, Manuel M.
Sabater, Luís
Roda, Desamparados
Tarazona, Noelia
Cervantes, Andrés
Castillo, Josefa
author_facet Papaccio, Federica
García-Mico, Blanca
Gimeno-Valiente, Francisco
Cabeza-Segura, Manuel
Gambardella, Valentina
Gutiérrez-Bravo, María Fernanda
Alfaro-Cervelló, Clara
Martinez-Ciarpaglini, Carolina
Rentero-Garrido, Pilar
Zúñiga-Trejos, Sheila
Carbonell-Asins, Juan Antonio
Fleitas, Tania
Roselló, Susana
Huerta, Marisol
Sánchez del Pino, Manuel M.
Sabater, Luís
Roda, Desamparados
Tarazona, Noelia
Cervantes, Andrés
Castillo, Josefa
author_sort Papaccio, Federica
collection PubMed
description BACKGROUND: Patient-derived organoids (PDOs) from advanced colorectal cancer (CRC) patients could be a key platform to predict drug response and discover new biomarkers. We aimed to integrate PDO drug response with multi-omics characterization beyond genomics. METHODS: We generated 29 PDO lines from 22 advanced CRC patients and provided a morphologic, genomic, and transcriptomic characterization. We performed drug sensitivity assays with a panel of both standard and non-standard agents in five long-term cultures, and integrated drug response with a baseline proteomic and transcriptomic characterization by SWATH-MS and RNA-seq analysis, respectively. RESULTS: PDOs were successfully generated from heavily pre-treated patients, including a paired model of advanced MSI high CRC deriving from pre- and post-chemotherapy liver metastasis. Our PDOs faithfully reproduced genomic and phenotypic features of original tissue. Drug panel testing identified differential response among PDOs, particularly to oxaliplatin and palbociclib. Proteotranscriptomic analyses revealed that oxaliplatin non-responder PDOs present enrichment of the t-RNA aminoacylation process and showed a shift towards oxidative phosphorylation pathway dependence, while an exceptional response to palbociclib was detected in a PDO with activation of MYC and enrichment of chaperonin T-complex protein Ring Complex (TRiC), involved in proteome integrity. Proteotranscriptomic data fusion confirmed these results within a highly integrated network of functional processes involved in differential response to drugs. CONCLUSIONS: Our strategy of integrating PDOs drug sensitivity with SWATH-mass spectrometry and RNA-seq allowed us to identify different baseline proteins and gene expression profiles with the potential to predict treatment response/resistance and to help in the development of effective and personalized cancer therapeutics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-022-02591-z.
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spelling pubmed-98172732023-01-07 “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction” Papaccio, Federica García-Mico, Blanca Gimeno-Valiente, Francisco Cabeza-Segura, Manuel Gambardella, Valentina Gutiérrez-Bravo, María Fernanda Alfaro-Cervelló, Clara Martinez-Ciarpaglini, Carolina Rentero-Garrido, Pilar Zúñiga-Trejos, Sheila Carbonell-Asins, Juan Antonio Fleitas, Tania Roselló, Susana Huerta, Marisol Sánchez del Pino, Manuel M. Sabater, Luís Roda, Desamparados Tarazona, Noelia Cervantes, Andrés Castillo, Josefa J Exp Clin Cancer Res Research BACKGROUND: Patient-derived organoids (PDOs) from advanced colorectal cancer (CRC) patients could be a key platform to predict drug response and discover new biomarkers. We aimed to integrate PDO drug response with multi-omics characterization beyond genomics. METHODS: We generated 29 PDO lines from 22 advanced CRC patients and provided a morphologic, genomic, and transcriptomic characterization. We performed drug sensitivity assays with a panel of both standard and non-standard agents in five long-term cultures, and integrated drug response with a baseline proteomic and transcriptomic characterization by SWATH-MS and RNA-seq analysis, respectively. RESULTS: PDOs were successfully generated from heavily pre-treated patients, including a paired model of advanced MSI high CRC deriving from pre- and post-chemotherapy liver metastasis. Our PDOs faithfully reproduced genomic and phenotypic features of original tissue. Drug panel testing identified differential response among PDOs, particularly to oxaliplatin and palbociclib. Proteotranscriptomic analyses revealed that oxaliplatin non-responder PDOs present enrichment of the t-RNA aminoacylation process and showed a shift towards oxidative phosphorylation pathway dependence, while an exceptional response to palbociclib was detected in a PDO with activation of MYC and enrichment of chaperonin T-complex protein Ring Complex (TRiC), involved in proteome integrity. Proteotranscriptomic data fusion confirmed these results within a highly integrated network of functional processes involved in differential response to drugs. CONCLUSIONS: Our strategy of integrating PDOs drug sensitivity with SWATH-mass spectrometry and RNA-seq allowed us to identify different baseline proteins and gene expression profiles with the potential to predict treatment response/resistance and to help in the development of effective and personalized cancer therapeutics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-022-02591-z. BioMed Central 2023-01-06 /pmc/articles/PMC9817273/ /pubmed/36604765 http://dx.doi.org/10.1186/s13046-022-02591-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Papaccio, Federica
García-Mico, Blanca
Gimeno-Valiente, Francisco
Cabeza-Segura, Manuel
Gambardella, Valentina
Gutiérrez-Bravo, María Fernanda
Alfaro-Cervelló, Clara
Martinez-Ciarpaglini, Carolina
Rentero-Garrido, Pilar
Zúñiga-Trejos, Sheila
Carbonell-Asins, Juan Antonio
Fleitas, Tania
Roselló, Susana
Huerta, Marisol
Sánchez del Pino, Manuel M.
Sabater, Luís
Roda, Desamparados
Tarazona, Noelia
Cervantes, Andrés
Castillo, Josefa
“Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title_full “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title_fullStr “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title_full_unstemmed “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title_short “Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
title_sort “proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction”
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817273/
https://www.ncbi.nlm.nih.gov/pubmed/36604765
http://dx.doi.org/10.1186/s13046-022-02591-z
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