Fig. 5
Validation of external datasets and independent prognostic role of GRG. (A, B) The ten-gene prognostic model also achieved significant results in the two datasets GSE53963 and GSE140082. (C) Independent prognostic role of LMCD1, L1CAM, MYCN, GALT, IDO1, RPL18, XBP1, LPAR3, RUNX3 and PLCG1 in cohort TCGA-OC-GSE26193. (D) A heatmap presenting the expression patterns of ten central GRGs. (E) Construction of a nomogram integrating GRG-score with various clinicopathological parameters. (F) A calibration curve is employed to verify the accuracy of the nomogram. (G) A cumulative hazard curve depicting survival probabilities over time for patients. (H) Drug sensitivity analysis of high-risk and low-risk groups showed that the high-risk group was more sensitive to dasatinib and foretinib. The vertical axis is IC50, and the smaller the value, the more sensitive it is.
