ATP6V1A

Across TCGA pan-cancer cohorts, ATP6V1A RNA is linked to patient survival in 19 of 34 cancer types, making it the most broadly survival-associated ATP6V1A data layer compared with 8 for mutation status and 4 for mass-spec protein.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP6V1A RNA is associated with better disease-free survival. In most high-consensus cancer types, elevated ATP6V1A expression acts as an unfavorable survival marker, although some lineages such as KIRC and HNSC show a favorable association.

KIRC, BLCA, and LIHC are the cancer types where ATP6V1A 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	0.736	0.514	<.001	148	view →
BLCA	OS	Tertile	III,IV	0.484	0.712	.004	35	view →
LIHC	OS	Tertile	All	0.684	0.858	.001	35	view →
LAML	DFS	Median	All	0.268	0.494	.006	22	view →
UVM	OS	Tertile	III,IV	0.318	1.000	.016	19	view →
ACC	DFS	Tertile	II,III,IV	0.155	0.794	.010	13	view →
HNSC	DFS	Quartile	IV	0.713	0.538	.012	12	view →
COAD	OS	Median	IV	0.719	0.315	<.001	11	view →
LGG	DFS	Quartile	All	0.617	0.380	.014	10	view →
SARC	DFS	Tertile	All	0.439	0.678	.007	7	view →
KICH	DFS	Median	II,III,IV	0.657	1.000	.025	7	view →
CHOL	DFS	Median	All	0.632	0.189	.010	6	view →

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

ATP6V1A–KIRC (DFS)

Open the KIRC breakdown →