ATP2B2-IT1

Across TCGA pan-cancer cohorts, ATP2B2-IT1 RNA is linked to patient survival in 7 of 34 cancer types, making it the most broadly survival-associated ATP2B2-IT1 data layer.

The strongest signal is observed in skin cutaneous melanoma (SKCM), where higher ATP2B2-IT1 RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated ATP2B2-IT1 expression acts as an unfavorable survival marker.

SKCM, KIRC, and LUSC are the cancer types where ATP2B2-IT1 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
SKCM	DFS	Tertile	All	0.199	0.640	.009	36	view →
KIRC	DFS	Tertile	IV	0.251	0.642	.012	36	view →
LUSC	OS	Tertile	III,IV	0.086	0.684	<.001	36	view →
THCA	DFS	Tertile	III,IV	0.146	0.863	<.001	36	view →
UCEC	DFS	Tertile	All	0.372	0.660	.005	30	view →
STAD	OS	Tertile	III,IV	0.167	0.528	.009	18	view →
SARC	DFS	Tertile	All	0.118	0.591	.034	9	view →

Pink = unfavorable, green = favorable. Showing the 7 strongest of 7 lineages.

ATP2B2-IT1–SKCM (DFS)

Open the SKCM breakdown →