Single-Cell Profiling of Tumor Microenvironment Heterogeneity in Osteosarcoma Identifies a Highly Invasive Subcluster for Predicting Prognosis

Abstract

Osteosarcoma is the most common malignant bone tumor in adolescents, and metastasis is the key reason for treatment failure and poor prognosis. Once metastasis occurs, the 5-year survival rate is only approximately 20%, and assessing and predicting the risk of osteosarcoma metastasis are still difficult tasks. In this study, cellular communication between tumor cells and nontumor cells was identified through comprehensive analysis of osteosarcoma single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, illustrating the complex regulatory network in the osteosarcoma microenvironment. In line with the heterogeneity of osteosarcoma, we found subpopulations of osteosarcoma cells that highly expressed COL6A1, COL6A3 and MIF and were closely associated with lung metastasis. Then, BCDEG, a reliable risk regression model that could accurately assess the metastasis risk and prognosis of patients, was established, providing a new strategy for the diagnosis and treatment of osteosarcoma.

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

“…Most patients are resistant to immunotherapy, which may be related to their TIME. With the rapid development of scRNA-seq in cancer medicine, it is now possible to study highly heterogeneous tumors, including NSCLC, which will bring epochal shifts in the understanding of TIME and the exploration of novel cellular biomarkers [25,26]. This study comprehensively analyzes TIME in NSCLC by integrating two large scRNA-seq datasets.…”

Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing data

“…It is helpful to find unique cell types, look into tumor heterogeneity and potential networks of cell-to-cell communication, and show different developmental paths. This can give a theoretical foundation for future research into the molecular processes of OS growth and metastasis ( Guo et al, 2022 ).…”

“…Osteosarcoma (OS) is a highly malignant solid bone tumor characterized by malignant mesenchymal cells producing pathological osteoid and/or bony matrix; it accounts for roughly 60% of all pediatric malignancies ( Bousquet et al, 2016 ; Guo et al, 2022 ; Ho et al, 2017 ), and the incidence of OS in the overall population is two to three million per year ( Shao et al, 2022 ). Clinical signs of OS affect the proximal tibia, proximal humerus, and distal femur, and consist predominantly of local discomfort, edema, and reduced joint movement ( Rothzerg et al, 2021 ).…”

Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

“…Most patients are resistant to immunotherapy, which may be related to their TIME. The rapid development of scRNA-seq makes it possible to study highly heterogeneous tumors, including NSCLC, which is helpful for understanding TIME and exploring new cellular biomarkers [25].…”