ATP6V1B1

Across TCGA pan-cancer cohorts, ATP6V1B1 RNA is linked to patient survival in 23 of 34 cancer types, making it the most broadly survival-associated ATP6V1B1 data layer compared with 2 for mutation status and 5 for mass-spec protein.

The strongest signal is observed in adrenocortical carcinoma (ACC), where higher ATP6V1B1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP6V1B1 expression acts as an unfavorable survival marker, although some lineages such as BRCA and STAD show a favorable association.

ACC, COAD, and THCA are the cancer types where ATP6V1B1 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
ACC	DFS	Tertile	All	0.175	0.738	<.001	130	view →
COAD	OS	Median	All	0.733	0.861	<.001	121	view →
THCA	OS	Median	III,IV	0.944	1.000	.003	62	view →
BLCA	DFS	Median	II,III,IV	0.549	0.682	.001	55	view →
KIRC	DFS	Tertile	IV	0.182	0.427	.006	46	view →
BRCA	OS	Quartile	III,IV	0.980	0.856	.003	30	view →
LUSC	DFS	Median	II,III,IV	0.506	0.667	.009	20	view →
UVM	OS	Median	III,IV	0.304	1.000	.008	18	view →
STAD	DFS	Quartile	IV	0.576	0.225	.014	18	view →
PRAD	DFS	Median	All	0.834	0.927	<.001	18	view →
CESC	DFS	Median	All	0.663	0.802	.003	16	view →
OV	OS	Tertile	IV	0.478	0.780	.003	12	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 23 lineages.

ATP6V1B1–ACC (DFS)

Open the ACC breakdown →