Fig. 2

Analysis of the correlation between module subnetworks and tumor progression. (A) Analysis of the correlation of the subnetwork scores of the turquoise and blue modules with tumor progression scores across The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) datasets (CGGA325 and CGGA693). The top row presents the correlation between the turquoise module subnetwork scores and tumor progression scores. The bottom row shows the correlation between the blue module subnetwork scores and tumor progression scores. (B) Turquoise and blue module subnetwork scores in patients who responded (responders) and did not respond (non-responders) to chemoradiotherapy across the TCGA and CGGA datasets (CGGA325 and CGGA693). Patients who survived more than 14.2 months after treatment were classified as responders, whereas those who died within 14.2 months after treatment were classified as non-responders. (C) Receiving operating characteristic (ROC) curves for predicting the response to chemoradiotherapy via subnetwork scores of the turquoise and blue modules across the TCGA and CGGA datasets (CGGA325 and CGGA693).