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. 2015 Jul 21;5:12298. doi: 10.1038/srep12298

Figure 2. Network analysis of gene expression data from regressing versus non-regressing tumours identifies associated modules.

Figure 2

(a) Unsupervised hierarchical cluster analysis of microarray data from unilaterally removed AB1-HA tumours from responders (RS), non-responders (NR) and untreated mice (UT), with tumor growth curves. (b) A co-expression network was constructed by applying the WGCNA algorithm. Eight modules were identified (tagged by colour coding). (c) Modules were related to treatment response by identifying differentially expressed genes between responders and non-responders, and plotting the differential t-statistics as box-and-whisker plots on a module-by-module basis. The dashed horizontal lines correspond to FDR < 0.001. (d) Canonical pathways enriched in module 2 (immune module). Data analysis was performed with Ingenuity Systems software. (e) AB1-HA bearing mice were treated with anti-CTLA4 200 μg on day 6 after tumor inoculation with or without a CD8 depleting antibody 150 μg i.v., one day before anti-CTLA4, followed by 100 μg i.p. every 3 days, 6 dosages in total (PBS n = 3; anti-CTLA4 n = 10; anti-CTLA4 + anti-CD8 n = 5) (**p < 0.01). (f) Canonical pathways enriched in module 4 (cancer module).