Abstract

In order to obtain the target gene that affects the prognosis of osteosarcoma and to establish the risk ratio and prognosis of prediction model was the objective of the study. We obtained messenger ribonucleic acid transcriptome data from gene expression Omnibus database and clinical data from therapeutically applicable research to generate effective treatments database. Through intersection of differential genes, we obtained key genes in gene expression Omnibus database and then we used them to conduct survival analysis and establish risk ratio in therapeutically applicable research to generate effective treatments database. We obtained complement C1qA and complement C1qB as the differential key genes through GSE14359, GSE28424, GSE33382 and GSE36001 from gene expression Omnibus database. The expression of complement C1qA and complement C1qB were significantly different in 4 series data (p<0.01). Meanwhile, complement C1qA and complement C1qB have significant correlation in osteosarcoma clinical samples (p=8.61e-64, ρSpearman=0.97, 95 % confidence interval (0.96-0.98). The survival time of overexpression of complement C1qA and complement C1qB samples were significantly prolonged (p=0.0026 and p=0.006), area under the curve=0.689 (95 % confidence interval, 0.575-0.804), 0.702 (95 % confidence interval, 0.595-0.809), 0.641 (95 % confidence interval, 0.513-0.768) respectively. Complement C1qA and complement C1qB over-expression can significantly prolong survival time and can be used as predictors of survival in osteosarcoma.