For each of the four centrality measures (DC, BWC, SC, and GDC), we identify the most central genes (explained below) in the human PPI network [28] and measure the enrichment of these genes in BC genes (i.e., the percentage of the most central genes that are BC genes), with the goal of finding the centrality measure that is the most discriminative in uncovering BC genes; ideally, the most discriminative measure would have all of the most central genes to be BC genes. We find that: (1) enrichments in BC genes of the most GDC-central genes are much higher than those of non-GDC-central genes, (2) the observed enrichments in BC genes of the most GDC-central genes are statistically significant, while those of non-GDC-central genes are not, (3) BC genes that are GDC-central have higher and statistically significant enrichments in known drug targets than BC genes that are non-GDC-central, and (4) GDC is at least as discriminative as the next best centrality measure.