ArticleJournal of orthopaedic surgery and research2024
The tumor-stroma ratio in giant cell tumor of bone: associations with the immune microenvironment and responsiveness to denosumab treatment.
Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Computer-aided quantitative stromal analysis: a comprehensive investigation of its prognostic significance in lung squamous cell carcinoma.Translational lung cancer research · 2025Article
- Evaluation of CD3 and CD20 Lymphocytes and Mast Cells in the Microenvironment of Central Giant Cell Granuloma, Peripheral Giant Cell Granuloma, and Giant Cell Tumor of Bone.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- Clinical pathological characteristics correlation ofTranslational cancer research · 2025Article
- Single-cell RNA sequencing reveals key signaling pathways and biological functions in giant cell tumors of bone.Discover oncology · 2025Article
- Preoperative denosumab combined with microwave ablation for joint preservation in advanced giant cell tumor of bone: a retrospective study.Journal of orthopaedic surgery and research · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundCurrently, there is limited understanding regarding the clinical significance of the tumor-stroma ratio (TSR) in giant cell tumor of bone (GCTB). Hence, we aimed to investigate the distribution of TSR in GCTB and explore its correlation with various clinicopathologic factors, immune microenvironment, survival prognosis, and denosumab treatment responsiveness.
methodsWe conducted a multicenter cohort study comprising 426 GCTB patients treated at four centers. TSR was evaluated on hematoxylin and eosin-stained and immunofluorescent sections of tumor specimens. Immunohistochemistry was performed to assess CD3+, CD4+, CD8+, CD20+, PD-1+, PD-L1+, and FoxP3+ TIL subtypes as well as Ki-67 expression levels in 426 tissue specimens. These parameters were then analyzed for their correlations with patient outcomes [local recurrence-free survival (LRFS) and overall survival (OS)], clinicopathological features, and denosumab treatment responsiveness.
resultsLow TSR was significantly associated with poor LRFS and OS in both cohorts. Furthermore, TSR was also correlated with multiple clinicopathological features, TIL subtype expression, and denosumab treatment responsiveness. TSR demonstrated similar predictive capabilities as the conventional Campanacci staging system for predicting patients' LRFS and OS.
conclusionThe results of this study provide evidence supporting the use of TSR as a reliable prognostic tool in GCTB and as a predictor of denosumab treatment responsiveness. These findings may aid in developing individualized treatment strategies for GCTB patients in the future.
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