ATP1B1P1

Across TCGA pan-cancer cohorts, ATP1B1P1 RNA is linked to patient survival in 19 of 34 cancer types, making it the most broadly survival-associated ATP1B1P1 data layer.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP1B1P1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP1B1P1 expression acts as an unfavorable survival marker, although some lineages such as BLCA and UVM show a favorable association.

KIRC, ACC, and CESC are the cancer types where ATP1B1P1 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	Tertile	IV	0.359	0.657	.002	71	view →
ACC	DFS	Tertile	IV	0.047	0.488	.001	68	view →
CESC	DFS	Tertile	All	0.744	0.890	<.001	28	view →
UCEC	DFS	Quartile	All	0.568	0.712	.002	20	view →
BLCA	OS	Median	II,III,IV	0.776	0.654	.010	15	view →
LIHC	DFS	Tertile	All	0.451	0.603	.002	15	view →
READ	DFS	Median	IV	0.399	0.820	.010	9	view →
THCA	DFS	Tertile	IV	0.466	0.868	.018	6	view →
SARC	DFS	Quartile	All	0.305	0.608	.022	6	view →
UVM	OS	Median	All	0.895	0.732	.038	5	view →
LGG	OS	Tertile	All	0.759	0.851	.030	5	view →
COAD	DFS	Median	II,III,IV	0.449	0.650	.016	4	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 19 lineages.

ATP1B1P1–KIRC (DFS)

Open the KIRC breakdown →