ATP6V1FNB

Across TCGA pan-cancer cohorts, ATP6V1FNB RNA is linked to patient survival in 24 of 34 cancer types, making it the most broadly survival-associated ATP6V1FNB data layer.

The strongest signal is observed in kidney renal clear cell carcinoma (KIRC), where higher ATP6V1FNB RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP6V1FNB expression acts as an unfavorable survival marker, although some lineages such as ESCA and BLCA show a favorable association.

KIRC, ACC, and UCEC are the cancer types where ATP6V1FNB 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	0.537	0.704	<.001	105	view →
ACC	DFS	Median	All	0.235	0.650	<.001	94	view →
UCEC	OS	Quartile	All	0.425	0.885	<.001	70	view →
LUAD	DFS	Tertile	All	0.598	0.753	<.001	69	view →
LIHC	DFS	Quartile	All	0.417	0.626	<.001	41	view →
ESCA	OS	Tertile	III,IV	0.722	0.377	<.001	37	view →
BLCA	OS	Tertile	II,III,IV	0.796	0.639	.007	33	view →
COAD	OS	Tertile	II,III,IV	0.672	0.878	.002	32	view →
SKCM	DFS	Tertile	All	0.685	0.557	.016	16	view →
SCLC	OS	Tertile	All	0.402	0.141	.013	14	view →
PRAD	DFS	Quartile	All	0.873	0.964	<.001	14	view →
CHOL	DFS	Tertile	All	0.540	0.121	.012	12	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 24 lineages.

ATP6V1FNB–KIRC (DFS)

Open the KIRC breakdown →