Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma

Supplementary Table 1. Basic traits of the seven microarray datasets from the Gene Expression Omnibus and The Cancer Genome Atlas.
Supplementary Table 2. Basic characteristics of the nine differentially expressed circRNAs
Supplementary Table 3. Index of concordance (C-index) and variance inflation factor (VIF) of ABCA8, CXCL12, and CAT.
Supplementary Table 4. LASSO and cox analysis of ceRNA with coef/se(coef) < 0.01 and P-value of proportional hazards assumption (PH) > 0.05.
Supplementary Table 5. Robust rank aggregation analysis of ABCA8, CXCL12, and CAT. LogFC in the four datasets and RRA score of the three RNAs.
Supplementary Figure 1. Competitive endogenous RNA in osteosarcoma.
Supplementary Figure 2. Protein–protein interaction (PPI) network of genes in the competitive endogenous RNA network
Supplementary Figure 3. Proportional hazards assumption (left) and linearity assumption (right).
Supplementary Figure 4. Survival analysis for competitive endogenous RNA in osteosarcoma.