ArticleCell reports. Medicine2025
Organoid morphology-guided classification for oral cancer reveals prognosis.
Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight.Bioactive materials · 2027Review
- Tumor microenvironment-simulated organoids for personalized therapy prediction in head and neck squamous cell carcinoma.Oncogene · 2026Article
- Development of Periodontal Organoid-like Constructs Using Human Periodontal Ligament and Gingival Epithelial Cells: Comparison of Two Assembly Strategies.Gels (Basel, Switzerland) · 2026Article
- Cysteine suppresses the progression of oral squamous cell carcinoma via regulatingTranslational cancer research · 2026Article
- Impact of non-genetic heterogeneity of BRAF-mutant colon cancer organoids on growth kinetics, drug sensitivity and Wnt dynamics.International journal of cancer · 2026Article
- Patient-derived organoids for personalized drug response profiling and multi-omics integration in oral squamous cell carcinoma.iScience · 2026Article
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- Patient-derived epithelial cell organoids mimic the phenotypic complexity of endometriosis subtypes.Human reproduction (Oxford, England) · 2026Article
- Organoid: a promising solution to current challenges in cancer immunotherapy.npj biomedical innovations · 2025Review
- Article
- Nanomaterials for Theranostic Management of Oral Cancer: Advances in Imaging, Biosensing, Targeted Delivery, and Multimodal Synergistic Therapy.International journal of nanomedicine · 2025Review
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral cancer is an aggressive malignancy with a survival rate below 50% in advanced stages due to low mutation rates, lack of molecular subtypes, and limited treatment targets. This study presents a pioneering approach to classifying oral cancer subtypes based on the morphology of patient-derived organoids (PDOs) and proposes a therapeutic strategy. We establish 76 cancer and 81 normal PDOs. For cancer PDOs, both manual classification and AI-based scoring are utilized to categorize them into three distinct subtypes: normal-like, dense, and grape-like. These subtypes correlate with unique transcriptomic profiles, genetic mutations, and clinical outcomes, with patients harboring dense and grape-like organoids exhibiting poorer prognoses. Furthermore, drug response assessments of 14 single agents and cisplatin combination therapies identify a synergistic treatment approach for resistant subtypes. This study highlights the potential of integrating morphology-based classification with genomic and transcriptomic analyses to refine oral cancer subtyping and develop effective treatment strategies.
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Registered trials
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