Figure 7.

Breast cancer condition specific (CS) regulatory sub-network. We studied the Dutch datasets [39, 44, 55] to identify regulatory connections between sixteen genes that were recently implicated in recurrence in node-negative breast cancer [56]. To visualize regulatory distances between these genes and to identify the regulators involved in their co-alteration in the CS recurrence regulatory network, we extracted from this CS network a sub-network involving these genes and all the TFs that regulate them directly or indirectly. Fourteen of these genes are included in the Dutch datasets (red and green ovals). Six of the genes (red) form a highly connected and localized CS sub-network. TFs linked to any of these genes directly or indirectly are denoted by yellow boxes. Solid arrows stemming from Myc and E2F1 represent links supported by ChlP-on-chip experiments [29], whereas predicted links that were not matched by these non-breast cancer experimental data are shown with dotted arrows.