Patient-derived organoids model treatment response of metastatic gastrointestinal cancers

Abstract

Cancer organoids to model therapy response Cancer organoids are miniature, three-dimensional cell culture models that can be made from primary patient tumors and studied in the laboratory. Vlachogiannis et al. asked whether such “tumor-in-a-dish” approaches can be used to predict drug responses in the clinic. They generated a live organoid biobank from patients with metastatic gastrointestinal cancer who had previously been enrolled in phase I or II clinical trials. This allowed the authors to compare organoid drug responses with how the patient actually responded in the clinic. Encouragingly, the organoids had similar molecular profiles to those of the patient tumor, reinforcing their value as a platform for drug screening and development. Science , this issue p. 920

Keywords

OrganoidMedicineGastrointestinal cancerOncologyInternal medicineCancerBiologyColorectal cancerNeuroscience

MeSH Terms

AnimalsAntineoplastic AgentsDrug ResistanceNeoplasmGastrointestinal NeoplasmsGenomicsHumansMiceNeoplasm MetastasisOrganoidsPhenylurea CompoundsPrecision MedicinePyridinesXenograft Model Antitumor Assays

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Publication Info

Year: 2018
Type: article
Volume: 359
Issue: 6378
Pages: 920-926
Citations: 1864
Access: Closed

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APA Style

                            
                                
                                    Georgios Vlachogiannis, 
                                
                                    Somaieh Hedayat, 
                                
                                    Alexandra Vatsiou
                                
                                et al.
                            
                            (2018). 
                            Patient-derived organoids model treatment response of metastatic gastrointestinal cancers. 
                            Science
                            , 359
                            (6378)
                            , 920-926.
                            https://doi.org/10.1126/science.aao2774
                        

Identifiers

DOI: 10.1126/science.aao2774
PMID: 29472484
PMCID: PMC6112415

Data Quality

Data completeness: 90%