The role of tumor-associated macrophages in osteosarcoma progression – therapeutic implications

Huang, Qingshan; Liang, Xin; Ren, Tingting; Huang, Yi; Zhang, Hongliang; Yu, Yan; Chen, Chenglong; Wang, Wei; Niu, Jianfang; Lou, Jingbing; Guo, Wei

doi:10.1007/s13402-021-00598-w

Cited by 64 publications

(52 citation statements)

References 148 publications

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“…3 The advent of neoadjuvant chemotherapy has improved the prognosis of osteosarcoma, 4 with the survival rate increasing from less than 20% to 60-70%. 3,5,6 However, in recent years, the survival rate of osteosarcoma has not been further improved. 7,8 Endogenous or acquired drug resistance is one of the important causes of treatment failure and poor prognosis in patients with osteosarcoma.…”

Section: Introductionmentioning

confidence: 99%

Development of a Nomogram for Predicting the Efficacy of Preoperative Chemotherapy in Osteosarcoma

Huang¹,

Chen²,

Lou³

et al. 2021

IJGM

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Background Due to the obvious heterogeneity of osteosarcoma, many patients are not sensitive to neoadjuvant chemotherapy. In this study, the clinical characteristics and auxiliary examinations of patients with osteosarcoma were used to predict the effect of preoperative chemotherapy, so as to guide the clinical adjustment of the treatment plan to improve the prognosis of patients. Methods In this study, 90 patients with pathologically confirmed osteosarcoma were included, and they were randomly divided into training cohort (n=45) and validation cohort (n=45). A prediction model of preoperative chemotherapy efficacy for osteosarcoma was established by multivariate logistic regression analysis, and a nomogram was used as the visualization of the model. The ROC curve and C-index were used to evaluate the accuracy of the nomogram. Decision curve analysis (DCA) was used to evaluate the net benefit of the nomogram in predicting the efficacy of neoadjuvant chemotherapy under different threshold probabilities. Results In the study, the age, gender, location, tumor volume, metastasis at the first visit, MSTS staging, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) were used in the multivariate logistic regression analysis and the construction of the nomogram. The AUC and C-index of the training cohort were 0.793 (95% CI: 0.632, 0.954) and 0.881 (95% CI: 0.776, 0.986), respectively. The AUC and C-index in the validation cohort were 0.791 (95% CI: 0.644, 0.938) and 0.813 (95% CI: 0.679, 0.947), respectively, which were close to the training cohort. DCA showed that the model had good clinical application value. Conclusion Based on the clinical characteristics of patients and auxiliary examinations, the nomogram can be good used to predict the efficacy of preoperative chemotherapy for osteosarcoma.

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Section: Introductionmentioning

confidence: 99%

Development of a Nomogram for Predicting the Efficacy of Preoperative Chemotherapy in Osteosarcoma

Huang¹,

Chen²,

Lou³

et al. 2021

IJGM

Self Cite

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“…OS is a primary mesenchymal malignant tumor that commonly occurs in adolescents and young adults. [1][2][3][4] Under estimation, the OS incidence in teenagers is approximately 5.6/1 000 000. 5 Long tubular bones, such as tibia, fibula, and femur, suffer from OS lesions most commonly.…”

Section: Introductionmentioning

confidence: 99%

“…OS is a primary mesenchymal malignant tumor that commonly occurs in adolescents and young adults 1‐4 . Under estimation, the OS incidence in teenagers is approximately 5.6/1 000 000 5 .…”

Section: Introductionmentioning

confidence: 99%

circUSP34 accelerates osteosarcoma malignant progression by sponging miR‐16‐5p

Lou

Zhang

et al. 2021

Cancer Science

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“… 9 As an important immune cell and antigen presenting cell, tumor-associated macrophage (TAM), as the largest immune cell in TME, can internalize large particles, such as fragments, apoptotic cells and pathogens, to maintain homeostasis in human body. 10 Due to its ability to respond to cytokine signals released by inflammatory cells, it has inflammatory chemotaxis. 11 Therefore, macrophages not only have a high degree of infiltration in the tumor, but also can specifically bind to the tumor tissue.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Cell Membrane-Functionalized Biomimetic Nanoparticles for Targeted Therapy of Osteosarcoma

Cai¹,

Liu²,

Wu³

et al. 2022

IJN

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Purpose In order to prepare a biomimetic nano-carrier which has inflammatory chemotaxis, homologous targeting and reduce immune clearance, for targeted chemotherapy of osteosarcoma, we fabricated the paclitaxel-loaded poly(lactic-co-glycolic) acid (PLGA) nanoparticles coated with 143B-RAW hybrid membrane (PTX-PLGA@[143B-RAW] NPs) and evaluate its anti-cancer efficacy in vitro and vivo. Methods PTX-PLGA@[143B-RAW] NPs were prepared by the ultrasonic method and were characterized by size, zeta potential, polymer dispersion index (PDI), Coomassie bright blue staining, transmission electron microscopy (TEM) and high performance liquid chromatography (HPLC). Cellular uptake, cell viability assay, flow cytometry and chemotactic effect of PTX-PLGA@[143B-RAW] NPs were evaluated in vitro. Biodistribution, anti-cancer therapeutic efficacy and safety of PTX-PLGA@[143B-RAW] NPs were evaluated in 143B osteosarcoma xenograft mice. Results The hybrid membrane successfully coated onto the surface of PLGA nanoparticles. PTX-PLGA@[143B-RAW] NPs had a drug loading capacity of 4.24 ± 0.02% and showed targeting ability to osteosarcoma. PTX-PLGA@[143B-RAW] NPs showed high cellular uptake and improved anti-cancer efficacy against 143B cells. More importantly, PTX-PLGA@[143B-RAW] NPs treatment suppressed tumor growth in tumor-bearing mice with minimal damage to normal tissues. Conclusion PTX-PLGA@[143B-RAW] NPs could be used for targeted drug delivery and osteosarcoma therapy.

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The role of tumor-associated macrophages in osteosarcoma progression – therapeutic implications

Cited by 64 publications

References 148 publications

Development of a Nomogram for Predicting the Efficacy of Preoperative Chemotherapy in Osteosarcoma

Development of a Nomogram for Predicting the Efficacy of Preoperative Chemotherapy in Osteosarcoma

circUSP34 accelerates osteosarcoma malignant progression by sponging miR‐16‐5p

Hybrid Cell Membrane-Functionalized Biomimetic Nanoparticles for Targeted Therapy of Osteosarcoma

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