Multivariate transcriptome analysis identifies networks and key drivers of chronic lymphocytic leukemia relapse risk and patient survival

Table 4 Receiver operating curves (ROC) for genes overexpressed in relapse-associated modules

Gene	AUC	Z	p value	Module
URAHP	0.71558	5.95301	0	Black
MID1IP1	0.70859	5.62656	0	Black
ZAP70	0.66843	4.2768	2.00E−05	Black
RAB4B.EGLN2	0.6482	3.93621	8.00E−05	Black
ITPKA	0.64456	3.7544	0.00017	Black
LDOC1	0.62717	3.13477	0.00172	Black
RELL1	0.6954	5.3149	0	Brown
HIST1H1E	0.66089	4.18598	3.00E−05	Brown
JADE3	0.66024	4.13126	4.00E−05	Brown
ID1	0.65624	4.03103	6.00E−05	Brown
FUT5	0.63222	3.39698	0.00068	Brown
CRY1	0.73077	6.38277	0	Purple
CLEC3B	0.70679	5.69858	0	Purple
RMRP	0.68482	4.94943	0	Purple
FAM166A	0.68297	4.91336	0	Purple
PRR7	0.65664	4.03721	5.00E−05	Purple
TCTEX1D4	0.68681	5.03117	0	Salmon
UNC93B2	0.68412	4.97913	0	Salmon
LTB4R2	0.68167	4.81932	0	Salmon
C4orf48	0.67123	4.61744	0	Salmon
TNFRSF25	0.61798	3.04507	0.00233	Salmon
SLC41A2	0.67612	4.65439	0	Yellow
TNFSF9	0.66653	4.36275	1.00E−05	Yellow
SLC7A5	0.65574	4.04569	5.00E−05	Yellow
CKS2	0.61918	2.97625	0.00292	Yellow
LMNA	0.6013	2.4887	0.01282	Yellow

Table of genes, AUC scores, and p values from ROC analysis. The input genes had AUC scores above 0.5. URAHP (0.711), MID1IP1(0.693), and APBB2(0.691) have the highest AUC scores. p values of zero represent significance less than 10E−06

ISSN: 1755-8794