ATP13A1

Across TCGA pan-cancer cohorts, ATP13A1 RNA is linked to patient survival in 26 of 34 cancer types, making it the most broadly survival-associated ATP13A1 data layer compared with 6 for mutation status and 6 for mass-spec protein.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP13A1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP13A1 expression acts as an unfavorable survival marker, although some lineages such as SCLC and HNSC show a favorable association.

KIRC, ACC, and LIHC are the cancer types where ATP13A1 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	Quartile	All	0.815	0.929	<.001	131	view →
ACC	DFS	Median	All	0.243	0.658	<.001	83	view →
LIHC	DFS	Tertile	All	0.391	0.623	<.001	63	view →
UVM	DFS	Median	All	0.425	0.728	.001	55	view →
BLCA	DFS	Quartile	III,IV	0.480	0.651	.003	43	view →
KICH	OS	Median	All	0.924	1.000	.012	29	view →
SCLC	OS	Quartile	All	0.583	0.181	.004	27	view →
LAML	DFS	Quartile	All	0.347	0.611	.002	26	view →
LUAD	DFS	Median	IV	0.406	0.817	.007	24	view →
LGG	DFS	Quartile	All	0.791	0.920	<.001	23	view →
HNSC	OS	Tertile	III,IV	0.785	0.647	.011	23	view →
CHOL	OS	Quartile	All	0.815	0.184	.006	21	view →

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

ATP13A1–KIRC (DFS)

Open the KIRC breakdown →