SLX4IP

Across TCGA pan-cancer cohorts, SLX4IP RNA is linked to patient survival in 25 of 34 cancer types, making it the most broadly survival-associated SLX4IP data layer compared with 2 for mutation status and 2 for mass-spec protein.

The strongest signal is observed in kidney chromophobe (KICH), where higher SLX4IP RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated SLX4IP expression acts as an unfavorable survival marker, although some lineages such as READ and PAAD show a favorable association.

KICH, LGG, and READ are the cancer types where SLX4IP RNA most reproducibly stratifies survival.

RNA survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 indicate survival in the high- and low-expression groups, respectively; the lower AUC marks the poorer-surviving group. p-values are from the log-rank test.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
KICH	DFS	Quartile	III,IV	0.231	1.000	.004	40	view →
LGG	OS	Median	All	0.387	0.517	<.001	39	view →
READ	OS	Tertile	All	1.000	0.837	.002	28	view →
MESO	DFS	Median	III,IV	0.236	0.604	.005	27	view →
PAAD	OS	Median	All	0.565	0.308	.002	26	view →
LIHC	DFS	Quartile	All	0.386	0.534	.019	16	view →
KIRC	DFS	Quartile	II,III,IV	0.786	0.509	.012	16	view →
CHOL	OS	Median	III,IV	0.286	1.000	.008	15	view →
THYM	DFS	Median	All	0.973	0.745	.005	13	view →
LUAD	DFS	Quartile	IV	0.434	0.835	.047	12	view →
BLCA	DFS	Quartile	All	0.531	0.755	.025	10	view →
COAD	DFS	Median	III,IV	0.589	0.797	.009	10	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 25 lineages.

SLX4IP–KICH (DFS)

Open the KICH breakdown →