ATP2B3

Across TCGA pan-cancer cohorts, ATP2B3 RNA is linked to patient survival in 21 of 34 cancer types, making it the most broadly survival-associated ATP2B3 data layer compared with 6 for mutation status.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP2B3 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP2B3 expression acts as an unfavorable survival marker, although some lineages such as LGG and PAAD show a favorable association.

KIRC, DLBC, and KICH are the cancer types where ATP2B3 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
KIRC	DFS	Median	All	0.507	0.704	<.001	118	view →
DLBC	OS	Median	III,IV	0.359	0.797	.005	79	view →
KICH	DFS	Median	All	0.559	0.966	<.001	72	view →
THCA	OS	Tertile	All	0.956	1.000	.001	51	view →
STAD	OS	Quartile	All	0.457	0.645	.005	39	view →
LGG	DFS	Median	All	0.875	0.787	<.001	35	view →
BRCA	OS	Tertile	III,IV	0.831	0.941	.007	31	view →
PAAD	DFS	Tertile	All	0.570	0.315	.012	21	view →
KIRP	DFS	Quartile	II,III,IV	0.290	0.611	.019	19	view →
LAML	DFS	Tertile	All	0.610	0.240	.007	16	view →
PCPG	DFS	Tertile	All	0.945	0.659	.009	16	view →
LUAD	OS	Tertile	II,III,IV	0.688	0.503	.003	16	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 21 lineages.

ATP2B3–KIRC (DFS)

Open the KIRC breakdown →