CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The tumor-stroma ratio in giant cell tumor of bone: associations with the immune microenvironment and responsiveness to denosumab treatment.
The tumor-stroma ratio in giant cell tumor of bone: associations with the immune microenvironment and responsiveness to denosumab treatment.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
本研究结果为 TSR 作为骨巨细胞瘤中可靠预后工具以及地舒单抗治疗反应的预测因子提供了证据。
骨巨细胞瘤(GCTB)中肿瘤-间质比(TSR)的临床意义尚不清楚。本研究分析426例多中心患者的TSR分布及其与临床病理特征、免疫微环境、生存预后和地舒单抗反应的关系。研究以组织染色评估TSR及多种TIL亚群和Ki-67,并分析局部复发无生存、总生存期等结局。
低TSR在两个队列中均与较差局部复发无生存及总生存期显著相关,也与多种临床病理特征、TIL亚群表达和地舒单抗反应有关。TSR预测生存的能力与传统Campanacci分期相近。
TSR可作为GCTB可靠的预后工具,并可能预测地舒单抗治疗反应,有助于未来制定个体化策略。
Currently, 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.
We 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.
Low 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.
The 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.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。