淋巴细胞浸润评分和空间特征完善了骨巨细胞瘤的预后和地诺单抗治疗反应性指标

IF 5.3 2区 医学 Q1 ONCOLOGY
Hai-Lin Wu, Chao Xia, Fu-Sheng Liu, Bo-Yv Zheng, Hua-Qing Niu, Guo-Qiang Zhu, Ming-Xiang Zou, Bo-Wen Zheng
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引用次数: 0

摘要

目的:淋巴细胞浸润评分(LIS)及其与肿瘤细胞的近邻距离(NNDTC)在骨巨细胞瘤(GCTB)中的预后价值目前尚未明确。本研究旨在描述 LIS 和 NNDTC 的特征,并研究它们与地诺单抗治疗反应性、临床病理特征和患者预后的相关性:方法: 我们使用多重定量免疫荧光技术评估了 253 例肿瘤标本中的 LIS,并使用 HALO 软件计算了 NNDTC。随后,我们分析了这些参数与患者预后(无进展生存期[PFS]和总生存期[OS])、临床病理特征和地诺单抗治疗反应性之间的关系:结果:低LIS表明患者的PFS和OS均较差(P均<0.001)。此外,LIS与性别(P = .046)、Enneking分期(P < .001)、Ki-67表达(P = .007)和denosumab治疗反应性(P = .005)有明显相关性。CD8+(肿瘤内部 [TI])较低的 NNDTC 和 CD3+(TI)较低的 NNDTC 与较差的 PFS 相关(分别为 P = .003 和 .038),而 CD8+(TI)较低的 NNDTC 与较差的 OS 相关(P = .001),但 CD8+(肿瘤浸润边缘)较低的 NNDTC 具有相反的影响(P = .002)。此外,NNDTC 还与多种临床病理特征相关。重要的是,LIS在预测GCTB的临床结果方面优于Enneking和Campanacci分期系统:这些研究结果表明,LIS 是预测 GCTB 患者临床相关预后和对地诺单抗治疗反应的可靠工具。这些参数可能有助于指导患者进行预后风险分层和优化治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lymphocyte Infiltration Score and Spatial Characteristics Refined the Prognosis and Denosumab Treatment Responsiveness Indicators for Giant Cell Tumor of Bone.

Purpose: The prognostic value of lymphocyte infiltration score (LIS) and its nearest neighbor distance to tumor cells (NNDTC) in giant cell tumor of bone (GCTB) is currently not well established. This study aims to characterize LIS and NNDTC and examine their correlation with denosumab treatment responsiveness, clinicopathologic features, and patient prognosis.

Methods: Using multiplexed quantitative immunofluorescence, LIS was evaluated in 253 tumor specimens, whereas NNDTC was computed using HALO software. Subsequently, we analyzed the association of these parameters with patient outcomes (progression-free survival [PFS] and overall survival [OS]), clinicopathologic features, and denosumab treatment responsiveness.

Results: Low LIS was indicative of both poor PFS and OS (both P < .001). In addition, LIS was significantly associated with sex (P = .046), Enneking staging (P < .001), Ki-67 expression (P = .007), and denosumab treatment responsiveness (P = .005). Lower CD8+ (tumor interior [TI]) NNDTC, and CD3+ (TI) NNDTC were associated with worse PFS (P = .003 and .038, respectively), whereas lower CD8+ (TI) NNDTC was associated with worse OS (P = .001), but CD8+ (tumor infiltrating margin) NNDTC had the opposite effect (P = .002). Moreover, NNDTC showed a correlation with several clinicopathologic features. Importantly, LIS outperformed Enneking and Campanacci staging systems in predicting the clinical outcomes of GCTB.

Conclusion: These findings suggest that LIS is a reliable predictive tool for clinically relevant outcomes and response to denosumab therapy in patients with GCTB. These parameters may prove to be useful in guiding prognostic risk stratification and therapeutic optimization for patients.

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CiteScore
9.10
自引率
4.30%
发文量
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