{"doi":"10.1016/j.jamcollsurg.2020.11.009","title":"Development of a Single-Cell Technique to Increase Yield and Use of Gastrointestinal Cancer Organoids for Personalized Medicine Application","abstract":"BACKGROUND: Organoids are excellent 3-dimensional in vitro models of gastrointestinal cancers. However, patient-derived organoids (PDOs) remain inconsistent and unreliable for rapid actionable drug sensitivity testing due to size variation and limited material. STUDY DESIGN: On day10/passage 2 after standard creation of organoids, half of PDOs were dissociated into single-cells with TrypLE Express Enzyme/DNase I and mechanical dissociation; and half of PDOs were expanded by the standard technique. Hematoxylin and eosin and immunohistochemistry with CK7 and CK20 were performed for characterization. Drug sensitivity testing was completed for single-cells and paired standard PDOs to assess reproducibility. RESULTS: After 2 to 3 days, >50% of single-cells reformed uniform miniature PDOs (∼50 μm). We developed 10 PDO single-cell lines (n = 4, gastric cancer, [GC]; and n = 6, pancreatic ductal adenocarcinoma, [PDAC]), which formed epithelialized cystic structures and by IHC, exhibited CK7(high)/CK20(low) expression patterns mirroring parent tissues. Compared with paired standard PDOs, single-cells (n = 2, PDAC; = 2, GC) showed similar architecture, albeit smaller and more uniform. Importantly, single cells demonstrated similar sensitivity to cytotoxic drugs to matched PDOs. CONCLUSIONS: PDO single-cells are accurate for rapid clinical drug testing in gastrointestinal cancers. Using early passage PDO single-cells facilitates high-volume drug testing, decreasing time from tumor sampling to actionable clinical decisions, and provides a personalized medicine platform to optimally select drugs for gastrointestinal cancer patients.","journal":"Journal of the American College of Surgeons","year":2020,"id":101960,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":27,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9257,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":498764,"name":"Megan M. Harper","orcid":"0000-0002-2935-6292","position":1,"is_corresponding":false},{"id":498765,"name":"Miranda Lin","orcid":"0000-0002-1250-1254","position":2,"is_corresponding":false},{"id":498766,"name":"Shadi Qasem","orcid":"0000-0001-6724-7057","position":3,"is_corresponding":false},{"id":498767,"name":"Reema Patel","orcid":"0000-0001-8650-6122","position":4,"is_corresponding":false},{"id":499914,"name":"Samuel H. Mardini","orcid":null,"position":5,"is_corresponding":false},{"id":498768,"name":"Moamen Gabr","orcid":"0000-0002-0069-5047","position":6,"is_corresponding":false},{"id":376722,"name":"Michael J. Cavnar","orcid":"0000-0002-6197-7945","position":7,"is_corresponding":false},{"id":498769,"name":"Prakash K. Pandalai","orcid":"0000-0002-2729-0058","position":8,"is_corresponding":false},{"id":498770,"name":"Joseph Kim","orcid":"0000-0002-6017-6871","position":9,"is_corresponding":false},{"id":498763,"name":"Mei Gao","orcid":"0000-0001-8960-8749","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-18T22:40:51.552773Z","pmid":"33253861","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}