ArticleJournal of experimental & clinical cancer research : CR2025
Personalized prediction of chemotherapy efficacy in osteosarcoma through patient-derived organoids: correlation with survival and tumor proliferation potential.
Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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.
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Who cites it
2 citing papers in PubMed.
- Article
- Precision oncology in the treatment of patients with bone sarcomas: an up-to-date narrative review.Exploration of targeted anti-tumor therapy · 2026Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundNeoadjuvant chemotherapy (NAT) is the standard treatment for osteosarcoma (OS), but patient responses vary, and conventional imaging or pathology offers limited predictive accuracy. Patient-derived organoids (PDOs) are promising models for assessing drug sensitivity and tumor viability ex vivo. This study evaluated the potential of PDO-based drug sensitivity testing and organoid formation potential (OFP) to predict therapeutic outcomes in OS.
methodsTumor samples from OS patients collected before and after NAT were cultured as 3D PDOs. Chemosensitivity to first-line agents was quantified via a cell inhibition weighted score (CIWS), whereas OFP was used to reflect residual tumor viability. Clinical response was assessed via RECIST 1.1 and, for the primary analysis, dichotomized as responder (CR+PR+SD) versus nonresponder (PD); survival (OS/DFS) was tracked for up to 5 years. Correlations between PDO metrics and clinical outcomes were analyzed.
resultsPDOs were established from 31 samples (18 pre-NAT samples and 13 post-NAT samples), including 8 paired pre/post-NAT samples. CIWS predicted NAT response assessed by RECIST 1.1 with 83.3% accuracy (pre-NAT, 15/18; 95% CI 58.6-96.4) and 5-year DFS with 84.6% accuracy (post-NAT, 11/13; 95% CI 54.6-98.1). With predefined CIWS/OFP cutoffs, Kaplan-Meier analyses showed longer DFS/OS in CIWS-sensitive and OFP-II/III (low growth) groups (P<0.05).
conclusionsPDOs demonstrated promise as an ex vivo approach to evaluate whether ex vivo chemosensitivity and residual tumor viability measured by PDOs are associated with imaging response and 5-year survival. Their correlation with clinical outcomes highlights the potential of PDO testing to complement existing evaluation methods and to inform individualized treatment strategies.
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