ATP6V1C2

Across TCGA pan-cancer cohorts, ATP6V1C2 RNA is linked to patient survival in 19 of 34 cancer types, making it the most broadly survival-associated ATP6V1C2 data layer compared with 4 for mutation status and 4 for mass-spec protein.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP6V1C2 RNA is associated with worse overall survival. In most high-consensus cancer types, elevated ATP6V1C2 expression acts as an unfavorable survival marker, although some lineages such as SCLC and HNSC show a favorable association.

KIRC, KIRP, and ACC are the cancer types where ATP6V1C2 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	OS	Median	All	0.524	0.736	<.001	170	view →
KIRP	DFS	Median	All	0.479	0.680	<.001	123	view →
ACC	DFS	Median	All	0.513	0.800	<.001	109	view →
SCLC	OS	Median	All	0.781	0.503	<.001	67	view →
UVM	DFS	Median	III,IV	0.348	0.730	.001	62	view →
LIHC	DFS	Tertile	All	0.412	0.621	<.001	56	view →
LGG	DFS	Median	All	0.665	0.801	<.001	47	view →
HNSC	OS	Tertile	IV	0.629	0.411	.002	39	view →
LUAD	DFS	Median	II,III,IV	0.376	0.174	.002	22	view →
ESCA	DFS	Quartile	II,III,IV	0.242	1.000	.006	22	view →
BRCA	OS	Quartile	All	0.879	0.941	.010	21	view →
COAD	OS	Tertile	II,III,IV	0.441	0.679	.016	19	view →

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

ATP6V1C2–KIRC (OS)

Open the KIRC breakdown →