ArticleJournal of experimental & clinical cancer research : CR2024
Organoids as a biomarker for personalized treatment in metastatic colorectal cancer: drug screen optimization and correlation with patient response.
Article in Journal of experimental & clinical cancer research : CR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 45 citations in OpenAlex.
- Precision treatment guided by patient-derived organoids-based drug testing for locally advanced thyroid cancer: a single arm, phase 2 study.Endocrine · 2025Trial
- Tutorial: interrogating biology using organoid technologies.Nature protocols · 2026Review
- Current Perspectives on 2D and 3D Cell Culture Models in Cancer Research: Molecular Determinants of Tumor Biology and Therapeutic Response.Current issues in molecular biology · 2026Review
- Integration of biological avatars and digital twins for "ex vivo clinical trials".EBioMedicine · 2026Review
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- A Colon Cancer Organoid-on-a-Chip Model for In Vitro Therapy Assessment.International journal of molecular sciences · 2026Article
- New developments and applications of human organoids.Nature reviews. Molecular cell biology · 2026Review
- Can Complex 3D Models Effectively Replace 2D and Animal Models to Investigate the Microbe-Tumor-Immune Axis in Pancreatic Cancer Studies?Nutrients · 2026Review
- Patient-derived organoids from metastatic colorectal cancer mirror tumor heterogeneity and predict patient survival and drug sensitivity.Cell reports. Medicine · 2026Article
- Deconstructing cancer in 3D: models, mechanisms, and personalized solutions.Molecular cancer · 2026Review
- Artificial Intelligence Virtual Organoids (AIVOs).Bioactive materials · 2026Review
- ZDHHC9-mediated KLF5 palmitoylation enhances the cAMP/PKA/CREB axis to promote colorectal cancer progression.Oncogene · 2026Article
- A Classifier for Patient-Derived Colorectal Tumoroid Drug Sensitivity Using Confocal Imaging and Growth Rate Inhibition Metrics.Cancer research communications · 2026Article
- Recapitulating lung cancer metastasisOncology reports · 2026Review
- Accelerating personalized medicine: miniaturized patient-derived organoid drug screening for predicting cancer treatment responses and beyond.npj biomedical innovations · 2026Article
- Review
- The role of NADFrontiers in oncology · 2026Review
- Patient-derived organoids in functional precision oncology: from experimental models to clinical decision-making.Frontiers in endocrinology · 2026Review
- Calcitriol Modulates Age-dependent Drug Response in Paired Patient-derived Normal and Tumor Colorectal Organoids.International journal of biological sciences · 2026Article
- Functional Precision Medicine Using MicroOrganoSpheres for Treatment Response Prediction in Advanced Colorectal Cancer.JCO precision oncology · 2026Article
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Authors and funding
20 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe inability to predict treatment response of colorectal cancer patients results in unnecessary toxicity, decreased efficacy and survival. Response testing on patient-derived organoids (PDOs) is a promising biomarker for treatment efficacy. The aim of this study is to optimize PDO drug screening methods for correlation with patient response and explore the potential to predict responses to standard chemotherapies.
methodsWe optimized drug screen methods on 5-11 PDOs per condition of the complete set of 23 PDOs from patients treated for metastatic colorectal cancer (mCRC). PDOs were exposed to 5-fluorouracil (5-FU), irinotecan- and oxaliplatin-based chemotherapy. We compared medium with and without N-acetylcysteine (NAC), different readouts and different combination treatment set-ups to capture the strongest association with patient response. We expanded the screens using the optimized methods for all PDOs. Organoid sensitivity was correlated to the patient's response, determined by % change in the size of target lesions. We assessed organoid sensitivity in relation to prior exposure to chemotherapy, mutational status and sidedness.
resultsDrug screen optimization involved excluding N-acetylcysteine from the medium and biphasic curve fitting for 5-FU & oxaliplatin combination screens. CellTiter-Glo measurements were comparable with CyQUANT and did not affect the correlation with patient response. Furthermore, the correlation improved with application of growth rate metrics, when 5-FU & oxaliplatin was screened in a ratio, and 5-FU & SN-38 using a fixed dose of SN-38. Area under the curve was the most robust drug response curve metric. After optimization, organoid and patient response showed a correlation coefficient of 0.58 for 5-FU (n = 6, 95% CI -0.44,0.95), 0.61 for irinotecan- (n = 10, 95% CI -0.03,0.90) and 0.60 for oxaliplatin-based chemotherapy (n = 11, 95% CI -0.01,0.88). Median progression-free survival of patients with resistant PDOs to oxaliplatin-based chemotherapy was significantly shorter than sensitive PDOs (3.3 vs 10.9 months, p = 0.007). Increased resistance to 5-FU in patients with prior exposure to 5-FU/capecitabine was adequately reflected in PDOs (p = 0.003).
conclusionsOur study emphasizes the critical impact of the screening methods for determining correlation between PDO drug screens and mCRC patient outcomes. Our 5-step optimization strategy provides a basis for future research on the clinical utility of PDO screens.
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