Additional file 1 of Identification of a new gene signature for prognostic evaluation in cervical cancer: based on cuproptosis-associated angiogenesis and multi-omics analysis

Abstract

Supplementary Material 1: Figure S1: Forest plot of 66 CuRA prognostic genes by univariate COX analysis. Figure S2: Comparison of errors in ridge regression, lasso regression and elastic network regression and comprehensive comparison of the errors in three regression algorithms. Figure S3: Construction and verification of a CuRA prognostic model. Figure S4: Localization and validation of 10 modeling genes in the GSE168652 dataset. Figure S5: Immune infiltration landscape in high and low CuRA-groups calculated by CIBERSORT, EPIC, MCP, Quanti-seq, TIMER, xCell algorithms. Figure S6: Differences in mutation frequency between high and low CuRA groups. Figure S7: Survival analysis of 10 modeling genes. Figure S8: Assessment of regulatory pathways and immune microenvironment of SFT2D1. Figure S9: Visual circular and hierarchical plots showing cellular communication in the VEGF pathway. Figure S10: Cell Communication Analysi