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Published on: July 25, 2020
Exploring the impact of PDGFD in osteosarcoma metastasis through single-cell sequencing analysis
Yujing Huang1, Dongyan Cao2,3, Manxue Zhang2,3
1Department of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Purpose:
The overall survival rate for metastatic osteosarcoma hovers around 20%. Responses to second-line chemotherapy, targeted therapies, and immunotherapies have demonstrated limited efficacy in metastatic osteosarcoma. Our objective is to validate differentially expressed genes and signaling pathways between non-metastatic and metastatic osteosarcoma, employing single-cell RNA sequencing (scRNA-seq) and additional functional investigations. We aim to enhance comprehension of metastatic mechanisms and potentially unveil a therapeutic target.
Methods:
scRNA-seq was performed on two primary osteosarcoma lesions (1 non-metastatic and 1 metastatic). Seurat package facilitated dimensionality reduction and cluster identification. Copy number variation (CNV) was predicted using InferCNV. CellChat characterized ligand-receptor-based intercellular communication networks. Differentially expressed genes underwent GO function enrichment analysis and GSEA. Validation was achieved through the GSE152048 dataset, which identified PDGFD-PDGFRB as a common ligand-receptor pair with significant contribution. Immunohistochemistry assessed PDGFD and PDGFRB expression, while multicolor immunofluorescence and flow cytometry provided insight into spatial relationships and the tumor immune microenvironment. Kaplan-Meier survival analysis compared metastasis-free survival and overall survival between high and low levels of PDGFD and PDGFRB. Manipulation of PDGFD expression in primary osteosarcoma cells examined invasion abilities and related markers.
Results:
Ten clusters encompassing osteoblasts, osteoclasts, osteocytes, fibroblasts, pericytes, endothelial cells, myeloid cells, T cells, B cells, and proliferating cells were identified. Osteoblasts, osteoclasts, and osteocytes exhibited heightened CNV levels. Ligand-receptor-based communication networks exposed significant fibroblast crosstalk with other cell types, and the PDGF signaling pathway was activated in non-metastatic osteosarcoma primary lesion. These results were corroborated by the GSE152048 dataset, confirming the prominence of PDGFD-PDGFRB as a common ligand-receptor pair. Immunohistochemistry demonstrated considerably greater PDGFD expression in non-metastatic osteosarcoma tissues and organoids, correlating with extended metastasis-free and overall survival. PDGFRB expression showed no significant variation between non-metastatic and metastatic osteosarcoma, nor strong correlations with survival times. Multicolor immunofluorescence suggested co-localization of PDGFD with PDGFRB. Flow cytometry unveiled a highly immunosuppressive microenvironment in metastatic osteosarcoma. Manipulating PDGFD expression demonstrated altered invasive abilities and marker expressions in primary osteosarcoma cells from both non-metastatic and metastatic lesions.
Conclusions:
scRNA-seq illuminated the activation of the PDGF signaling pathway in primary lesion of non-metastatic osteosarcoma. PDGFD displayed an inhibitory effect on osteosarcoma metastasis, likely through the suppression of the EMT signaling pathway.
Insights
Platelet-derived growth factor D (PDGFD) may inhibit osteosarcoma metastasis. This study used single-cell RNA sequencing (scRNA-seq) to identify PDGFD as a potential therapeutic target for improving survival in osteosarcoma patients.
Area of Science:
- Molecular biology
- Oncology
- Genomics
Background:
- Metastatic osteosarcoma has a poor prognosis with limited treatment options.
- Understanding metastatic mechanisms is crucial for developing new therapies.
- Current treatments including chemotherapy, targeted therapy, and immunotherapy show limited efficacy.
Purpose of the Study:
- To identify differentially expressed genes and signaling pathways between non-metastatic and metastatic osteosarcoma.
- To elucidate the mechanisms driving osteosarcoma metastasis.
- To uncover potential therapeutic targets for metastatic osteosarcoma.
Main Methods:
- Single-cell RNA sequencing (scRNA-seq) on osteosarcoma lesions.
- Analysis of gene expression, copy number variation (CNV), and intercellular communication networks.
- Validation using external datasets, immunohistochemistry, immunofluorescence, flow cytometry, and cell invasion assays.
Main Results:
- Identified distinct cell clusters and heightened CNV in osteoblasts, osteoclasts, and osteocytes.
- The PDGF signaling pathway, specifically PDGFD-PDGFRB, was prominent in non-metastatic osteosarcoma.
- Higher PDGFD expression correlated with better metastasis-free and overall survival, suggesting an inhibitory role in metastasis.
Conclusions:
- The PDGF signaling pathway is activated in non-metastatic osteosarcoma.
- PDGFD demonstrates an inhibitory effect on osteosarcoma metastasis.
- PDGFD may suppress metastasis by inhibiting the epithelial-mesenchymal transition (EMT) signaling pathway.

