APBB1IP

Across TCGA pan-cancer cohorts, APBB1IP RNA is linked to patient survival in 26 of 34 cancer types, making it the most broadly survival-associated APBB1IP data layer compared with 4 for mutation status and 5 for mass-spec protein.

The strongest signal is observed in skin cutaneous melanoma (SKCM), where higher APBB1IP RNA is associated with better overall survival. In most high-consensus cancer types, elevated APBB1IP expression acts as an unfavorable survival marker, although some lineages such as SKCM and HNSC show a favorable association.

SKCM, HNSC, and UCEC are the cancer types where APBB1IP 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
SKCM	OS	Median	All	0.432	0.252	<.001	119	view →
HNSC	DFS	Median	III,IV	0.730	0.592	<.001	91	view →
UCEC	DFS	Quartile	II,III,IV	0.743	0.253	.005	70	view →
CESC	DFS	Quartile	All	0.830	0.629	.004	52	view →
LGG	DFS	Median	All	0.657	0.819	<.001	50	view →
KIRP	DFS	Tertile	II,III,IV	1.000	0.264	.002	45	view →
UVM	DFS	Tertile	All	0.392	0.781	.003	33	view →
KIRC	DFS	Quartile	III,IV	0.803	0.395	.001	24	view →
STAD	OS	Median	All	0.334	0.508	.014	17	view →
LIHC	OS	Tertile	III,IV	0.238	0.630	.003	15	view →
THYM	OS	Median	All	1.000	0.656	.005	14	view →
LAML	DFS	Quartile	All	0.506	0.809	.002	12	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 26 lineages.

APBB1IP–SKCM (OS)

Open the SKCM breakdown →