Prognostic Significance of the Density and Spatial Distribution of Tumor‐Associated Macrophages in Giant Cell Tumor of Bone and Their Association With Denosumab Treatment Responsiveness

Given the lack of reliable indicators for predicting prognosis and treatment response in giant cell tumor of bone (GCTB) patients, this study aimed to identify new prognostic factors by analyzing the effect of tumor-associated macrophages (TAMs) on prognosis and denosumab treatment responsiveness. The expression of CD68⁺TAMs, CD163⁺TAMs, and IRF8⁺TAMs was detected using polychromatic fluorescence immunohistochemistry in 162 GCTB samples. TAM density was quantified through computer-aided image analysis, and spatial parameters, including nearest neighbor distance (NND) and effective percentage (EP), were measured using HALO software. Results showed that higher densities of CD68⁺ and CD163⁺ TAMs were significantly associated with inferior progression-free survival (PFS). A smaller NND was linked to shorter PFS. Additionally, higher CD68⁺ EP was associated with poorer PFS, whereas higher CD163⁺ EP correlated with better PFS. Receiver operating characteristic curve analysis demonstrated that TAM parameters' predictive performance was comparable to Campanacci and surgical approach in three subgroups. The ineffective denosumab-treated group had significantly higher TAMs EP compared to the effective group. In conclusion, TAMs significantly influence the prognosis of GCTB patients and are correlated with certain invasive tumor phenotypes. Elevated TAMs levels may be associated with reduced efficacy of denosumab treatment.

Authors

Institutions

Publication Details

Journal
MedComm
Published
2025-10-20
DOI
https://doi.org/10.1002/mco2.70419
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Significance of the Density and Spatial Distribution of Tumor‐Associated Macrophages in Giant Cell Tumor of Bone and Their Association With Denosumab Treatment Responsiveness

J. P. Liu, Ying‐Song Han, Yifan Yang, Bo‐Wen Zheng et al.
MedComm
Sarcoma Diagnosis and Treatment
article

Prognostic Significance of the Density and Spatial Distribution of Tumor‐Associated Macrophages in Giant Cell Tumor of Bone and Their Association With Denosumab Treatment Responsiveness

J. P. Liu, Ying‐Song Han, Yifan Yang, Bo‐Wen Zheng, Hua‐Qing Niu, Guo‐Qiang Zhu, Boyu Zheng, Bin Zhou, Jinming Yu, Jian Li, Xin Tang, Yijun Kang
article en

Abstract

Given the lack of reliable indicators for predicting prognosis and treatment response in giant cell tumor of bone (GCTB) patients, this study aimed to identify new prognostic factors by analyzing the effect of tumor-associated macrophages (TAMs) on prognosis and denosumab treatment responsiveness. The expression of CD68⁺TAMs, CD163⁺TAMs, and IRF8⁺TAMs was detected using polychromatic fluorescence immunohistochemistry in 162 GCTB samples. TAM density was quantified through computer-aided image analysis, and spatial parameters, including nearest neighbor distance (NND) and effective percentage (EP), were measured using HALO software. Results showed that higher densities of CD68⁺ and CD163⁺ TAMs were significantly associated with inferior progression-free survival (PFS). A smaller NND was linked to shorter PFS. Additionally, higher CD68⁺ EP was associated with poorer PFS, whereas higher CD163⁺ EP correlated with better PFS. Receiver operating characteristic curve analysis demonstrated that TAM parameters' predictive performance was comparable to Campanacci and surgical approach in three subgroups. The ineffective denosumab-treated group had significantly higher TAMs EP compared to the effective group. In conclusion, TAMs significantly influence the prognosis of GCTB patients and are correlated with certain invasive tumor phenotypes. Elevated TAMs levels may be associated with reduced efficacy of denosumab treatment.

MedCommVol. 6(11)
Central South University (CN), Peking University (CN), Sichuan University (CN), Wuhan University (CN), West China Hospital of Sichuan University (CN), Second Affiliated Hospital of Zhengzhou University (CN), Xiangyang Central Hospital (CN), Peking University People's Hospital (CN), Wuhan Union Hospital (CN), Renmin Hospital of Wuhan University (CN), First Affiliated Hospital of University of South China (CN), Central Hospital of Wuhan (CN), Wuhan General Hospital of Guangzhou (CN), Second Xiangya Hospital of Central South University (CN), Xiangya Hospital Central South University (CN), University of South China (CN)
Central South University, University of South China, Xiangya Hospital, Central South University
Openalex Percentile: Top 57%
Sarcoma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.