ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019
Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 173 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Consistency Evaluation of Drug Efficacy Between Clinical Systemic Treatment and Drug Sensitive Test Based on Patient-derived Organoid in Patients With Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma: A Prospective, Multicenter, Observational Study
Consistency Evaluation of Drug Efficacy Between Clinical Systemic Treatment and Drug Sensitive Test Based on Patient-derived Organoid in Patients With Recurrent/Metastatic Salivary Gland Cancer: A Prospective, Multicenter, Observational Study
Who cites it
173 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Systematic review: predictive value of organoids in colorectal cancer.Scientific reports · 2023Pooled it
- Organoids as a Robust Preclinical Model for Precision Medicine in Colorectal Cancer: A Systematic Review.Annals of surgical oncology · 2022Pooled it
- Host chromatin architecture in HPV-driven cervical cancer: molecular mechanisms and therapeutic resistance.Medical oncology (Northwood, London, England) · 2026Review
- A mammary-specific microfluidic device for studying post-radiotherapy vascular-immune cell interactions.bioRxiv : the preprint server for biology · 2026Article
- Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026Review
- HAMNO and CGK733 as BRCAness-driven candidates exhibit synthetic lethality with olaparib in BRCA-proficient ovarian cancer.NPJ precision oncology · 2026Article
- Patient-Derived Functional Models for Prediction of Radiotherapy Response in Rectal Cancer: A Systematic Review and Exploratory HSROC Meta-Analysis.Life (Basel, Switzerland) · 2026Review
- Suppression of the myofibroblastic cancer-associated fibroblast phenotype to enhance anti-PD-1 response.Journal of experimental & clinical cancer research : CR · 2026Article
- Patient therapy outcome modeling in cancer organoids is improved by cancer-associated fibroblasts and organoid assembly convolution.Molecular oncology · 2026Article
- An organoid-guided platform for ovarian cancer: enabling prediction of patients' chemotherapy response.Journal of ovarian research · 2026Article
- Personalized therapeutic platform: organoid models for hepatic malignancies.Journal of translational medicine · 2026Article
- From Cellular Radiosensitivity to Precision Radiotherapy: Integrating Functional Assays, Genomics, and Clinical Modeling.Cancers · 2026Review
- Article
- Tumor organoids modeling reveals timed responses and interplay of radiotherapy and chemotherapy in pancreatic cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2026Article
- How to efficiently establish animal models of cholangiocarcinoma: challenges and inspiration.Medical review (2021) · 2026Review
- A Classifier for Patient-Derived Colorectal Tumoroid Drug Sensitivity Using Confocal Imaging and Growth Rate Inhibition Metrics.Cancer research communications · 2026Article
- Recapitulating the tumour microenvironment: advancing personalised radiation therapy through organoid technology.Journal of experimental & clinical cancer research : CR · 2026Review
- An automated image analysis pipeline for wide-field optical redox imaging of patient-derived cancer organoids.Scientific reports · 2026Article
- Circular RNAs in sepsis-induced acute lung injury: emerging mechanisms and therapeutic potential.Frontiers in immunology · 2026Review
113 more citing papers are in PubMed but not listed here.
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Authors and funding
28 authors.
Funding
Abstract
purposeCancer treatment is limited by inaccurate predictors of patient-specific therapeutic response. Therefore, some patients are exposed to unnecessary side effects and delays in starting effective therapy. A clinical tool that predicts treatment sensitivity for individual patients is needed. EXPERIMENTAL
designPatient-derived cancer organoids were derived across multiple histologies. The histologic characteristics, mutation profile, clonal structure, and response to chemotherapy and radiation were assessed using bright-field and optical metabolic imaging on spheroid and single-cell levels, respectively.
resultsWe demonstrate that patient-derived cancer organoids represent the cancers from which they were derived, including key histologic and molecular features. These cultures were generated from numerous cancers, various biopsy sample types, and in different clinical settings. Next-generation sequencing reveals the presence of subclonal populations within the organoid cultures. These cultures allow for the detection of clonal heterogeneity with a greater sensitivity than bulk tumor sequencing. Optical metabolic imaging of these organoids provides cell-level quantification of treatment response and tumor heterogeneity allowing for resolution of therapeutic differences between patient samples. Using this technology, we prospectively predict treatment response for a patient with metastatic colorectal cancer.
conclusionsThese studies add to the literature demonstrating feasibility to grow clinical patient-derived organotypic cultures for treatment effectiveness testing. Together, these culture methods and response assessment techniques hold great promise to predict treatment sensitivity for patients with cancer undergoing chemotherapy and/or radiation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.