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. Author manuscript; available in PMC: 2014 Jul 15.
Published in final edited form as: Cancer Res. 2013 Jul 5;73(14):4173–4179. doi: 10.1158/0008-5472.CAN-13-0360

Table 2.

Antagonism between BAP1 and PBRM1 in ccRCC.

Study n PBRM1 BAP1 BAP1/
PBRM1
Expected
double
mutants
p value Odds Ratio
(95% CI)
Peña-Llopis et al. (8) 176 89 21 3 13 (9–16) 0.00003 0.10 (0.03 – 0.35)

Guo et al. (17) 98 21 8 0 2 (0–4) 0.20 0.19 (0.01 – 3.43)
Hakimiet al. (29) 185 53 10 1 3 (1–5) 0.18 0.23 (0.03 – 1.83)
TCGA 293 101 22 5 10 (7–13) 0.058 0.37 (0.14 – 1.01)
Total 576 175 40 6 14 (11–18) 0.004 0.29 (0.12 – 0.70)

Number of tumors with specific mutations and expected frequencies. The range of expected double mutants was calculated based on a hypergeometric distribution. Differences between actual and expected values were evaluated with a Fisher’s exact test. The Mantel-Haenszel test was used to integrate odds ratios from the different studies. A fixed 0.5 correction was used to find the odds ratio when there was a frequency of zero. KIRC TCGA data obtained from January, 2013 release. Note that differences in the number of tumors with mutations in PBRM1 with Table 1 reflect how tumors are divided according to SETD2 or BAP1 status. Data from the combination of these studies (the total) are highlighted in bold. Significant P values are also in bold.