BackgroundGlycolysis and cholesterol synthesis are crucial in cancer metabolic reprogramming. The aim of this study was to identify a glycolysis and cholesterol synthesis-related genes (GCSRGs) signature for effective prognostic assessments of osteosarcoma patients.MethodsGene expression data and clinical information were obtained from GSE21257 and TARGET-OS datasets. Consistent clustering method was used to identify the GCSRGs-related subtypes. Univariate Cox regression and LASSO Cox regression analyses were used to construct the GCSRGs signature. The ssGSEA method was used to analyze the differences in immune cells infiltration. The pRRophetic R package was utilized to assess the drug sensitivity of different groups. Western blotting, cell viability assay, scratch assay and Transwell assay were used to perform cytological validation.ResultsThrough bioinformatics analysis, patients diagnosed with osteosarcoma were classified into one of 4 subtypes (quiescent, glycolysis, cholesterol, and mixed subtypes), which differed significantly in terms of prognosis and tumor microenvironment. Weighted gene co-expression network analysis revealed that the modules strongly correlated with glycolysis and cholesterol synthesis were the midnight blue and the yellow modules, respectively. Both univariate and LASSO Cox regression analyses were conducted on screened module genes to identify 5 GCSRGs (RPS28, MCAM, EN1, TRAM2, and VEGFA) constituting a prognostic signature for osteosarcoma patients. The signature was an effective prognostic predictor, independent of clinical characteristics, as verified further via Kaplan-Meier analysis, ROC curve analysis, univariate and multivariate Cox regression analysis. Additionally, GCSRGs signature had strong correlation with drug sensitivity, immune checkpoints and immune cells infiltration. In cytological experiments, we selected TRAM2 as a representative gene to validate the validity of GCSRGs signature, which found that TRAM2 promoted the progression of osteosarcoma cells. Finally, at the pan-cancer level, TRAM2 had been correlated with overall survival, progression free survival, disease specific survival, tumor mutational burden, microsatellite instability, immune checkpoints and immune cells infiltration.ConclusionTherefore, we constructed a GCSRGs signature that efficiently predicted osteosarcoma patient prognosis and guided therapy.

The microenvironment in the healing process of large bone defects requires suitable conditions to promote osteogenesis and angiogenesis. Coaxial electrospinning is a mature method in bone tissue engineering (BTE) and allows functional modification.Appropriate modification methods can be used to improve the bioactivity of scaffolds for BTE. In this study, coaxial electrospinning with QK peptide (a Vascular endothelial growth factor mimetic peptide) and BMP-2 peptide-DFO (BD) was performed to produce double-modified PQBD scaffolds with vascularizing and osteogenic features. The morphology of coaxially electrospun scaffolds was verified by scanning electron microscopy (SEM) and transmission electron microscopy. Laser scanning confocal microscopy and Fourier transform infrared spectroscopy confirmed that BD covalently bound to the surface of the P and PQ scaffolds. In vitro, the PQBD scaffold promoted the adhesion and proliferation of bone marrow stromal cells (BMSCs). Both QK peptide and BD showed sustainable release and preservation of biological activity, enhancing the osteogenic differentiation of BMSCs and the migration of human umbilical vein endothelial cells and promoting angiogenesis. The combined ability of these factors to promote osteogenesis and angiogenesis is superior to that of each alone. In vivo, the PQBD scaffold was implanted into the bone defect, and after 8 weeks, the defect area was almost completely covered by new bone tissue. Histology showed more mature bone tissue and more blood vessels. PQBD scaffolds promote both angiogenesis and osteogenesis, offering a promising approach to enhance bone regeneration in the treatment of large bone defects.