ArticleBiomedicines2023
Patient-Derived Tumoroid for the Prediction of Radiotherapy and Chemotherapy Responses in Non-Small-Cell Lung Cancer.
Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- The neuro-immune-vascular landscape of lung cancer brain metastasis: insights from organoid models.Frontiers in immunology · 2026Review
- Review
- Comparative analysis of molecular targeted radiosensitizers in 2D and 3D cancer cell line models.Acta oncologica (Stockholm, Sweden) · 2025Article
- Concurrent vs. sequential chemoradiotherapy: a survival boost for lung cancer patients.Biomedical engineering online · 2025Article
- Article
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Authors and funding
17 authors.
Funding
Abstract
Radiation therapy and platinum-based chemotherapy are common treatments for lung cancer patients. Several factors are considered for the low overall survival rate of lung cancer, such as the patient's physical state and the complex heterogeneity of the tumor, which leads to resistance to the treatment. Consequently, precision medicines are needed for the patients to improve their survival and their quality of life. Until now, no patient-derived tumoroid model has been reported to predict the efficiency of radiation therapy in non-small-cell lung cancer. Using our patient-derived tumoroid model, we report that this model could be used to evaluate the efficiency of radiation therapy and cisplatin-based chemotherapy in non-small-cell lung cancer. In addition, these results can be correlated to clinical outcomes of patients, indicating that this patient-derived tumoroid model can predict the response to radiotherapy and chemotherapy in non-small-cell lung cancer.
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Registered trials
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