Challenges in validation of combination treatment strategies for CRC using patient-derived organoids

Article Article scientifique Revue de la littérature Challenges in validation of combination treatment strategies for CRC using patient-derived organoids eng 2024-09-11 author Benboubker Valentin 0000-0003-3162-1128 Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland.,Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland. 406036 author Ramzy George Mourad Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland.,Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland.,Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, 1211, Switzerland. 803434 Département de physiologie cellulaire et métabolisme (PHYME) author Jacobs Sacha Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland.,Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland. 418937 Section des sciences pharmaceutiques (FARMA) author Nowak-Sliwinska Patrycja 0000-0002-8299-0444 Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland. Patrycja.Nowak-Sliwinska@unige.ch.,Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland. Patrycja.Nowak-Sliwinska@unige.ch.,Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland. Patrycja.Nowak-Sliwinska@unige.ch. 848409 Section des sciences pharmaceutiques (FARMA) 259 10.1186/s13046-024-03173-x 39261955 1756-9966 PMC11389238 https://jeccr.biomedcentral.com/articles/10.1186/s13046-024-03173-x Patient-derived organoids (PDOs) established from tissues from various tumor types gave the foundation of ex vivo models to screen and/or validate the activity of many cancer drug candidates. Due to their phenotypic and genotypic similarity to the tumor of which they were derived, PDOs offer results that effectively complement those obtained from more complex models. Yet, their potential for predicting sensitivity to combination therapy remains underexplored. In this review, we discuss the use of PDOs in both validation and optimization of multi-drug combinations for personalized treatment strategies in CRC. Moreover, we present recent advancements in enriching PDOs with diverse cell types, enhancing their ability to mimic the complexity of in vivo environments. Finally, we debate how such sophisticated models are narrowing the gap in personalized medicine, particularly through immunotherapy strategies and discuss the challenges and future direction in this promising field. Combinatory treatment Immunotherapy Intestinal organoids Intestinal tumor organoids Precision medicine Synergy evaluation Tumor microenvironment Dewey 615 Swiss National Science Foundation Synergistic targeted drug combinations for induction of sensitivity to immune checkpoint inhibitors 197878 CH Projects 31 Section des sciences pharmaceutiques 17 false 1325 Pharmacologie moléculaire Journal of experimental & clinical cancer research 43 1 f7ad5f14-ac07-4c63-87e3-1cc76d746cff Article (Published version) Public Article_scientifique_from_crossref.pdf 2844258 application/pdf CC BY-4.0 eac73d2e9f3eec4ff77fbf1a24fe10c1ce973b559f09a021d1ec979b15451e40 openAccess Faculté des sciences / Section des sciences pharmaceutiques

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Challenges in validation of combination treatment strategies for CRC using patient-derived organoids	Journal of experimental & clinical cancer research			2024	47	80

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