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

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 AndrésORCID,Castillo Josefa

Abstract

Abstract 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.

Funder

Instituto de Salud Carlos III

Fundación Científica Asociación Española Contra el Cáncer

Generalitat Valenciana

Universitat de València and INCLIVA

European Society for Medical Oncology

Conselleria d'Educació, Investigació, Cultura i Esport

Ministerio de Ciencia e Innovación

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

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