Table 3.

Multivariable logistic regression results for GNA^* (GNAS/GNAQ/GNA11) status associations.^*

	GNA* mutant odds ratio (95% CI)	p-value	Significant at p < 0.00028**
Significant:
Ocular Melanoma	2.09 (1.77 to 2.48)	<2.2–16	Yes
Appendiceal cancer	1.23 (1.17 to 1.30)	9.26–14	Yes
KRAS	1.03 (1.00 to 1.06)	0.036
AURKA	1.73 (1.58 to 1.90)	<2.2–16	Yes
SRC	1.23 (1.08 to 1.40)	0.0016
CBL	1.34 (1.19 to 1.51)	2.10–6	Yes
LYN	1.54 (1.30 to 1.84)	1.36–6	Yes
Not significant:
Adenocarcinoma	1.01 (0.99 to 1.02)	0.29
Peritoneal metastasis	1.03 (0.99 to 1.07)	0.11
Brain diagnosis	0.99 (0.96 to 1.02)	0.45
Total Co-alterations	1.00 (0.99 to 1.01)	0.35
MYC	1.02 (0.99 to 1.05)	0.27
SMAD4	1.01 (0.96 to 1.06)	0.72
MCL1	1.04 (0.98 to 1.10)	0.18
TOP1	0.92 (0.79 to 1.07)	0.28
CCNE1	1.02 (0.94 to 1.09)	0.67
AKT2	1.04 (0.95 to 1.14)	0.41
ZNF703	0.98 (0.91 to 1.05)	0.52

^*All the following variables were found to be associated (at p < 0.1) with GNAS in a univariate model (Fisher’s exact test) (from Tables 1 and 2) were included in a multivariate logistic regression model: adenocarcinoma histology, peritoneal metastasis, brain cancer diagnosis, ocular melanoma diagnosis, appendiceal cancer diagnosis, number of characterized genomic co-alterations, KRAS, MYC, SMAD4, AURKA, MCL1, SRC, TOP1, CCNE1, AKT2, CBL, LYN, ZNF703. In the multivariate model, results were considered significant if p < 0.05.

^**As all 18 factors with p-value of 0.1 or less in univariate were included, the Bonferroni correction was used to account for multiple comparisons. A significant p-value after Bonferroni correction was 0.0028 or less.

Abbreviations: CI = confidence interval.