MIR133A1HG

Across TCGA pan-cancer cohorts, MIR133A1HG RNA is linked to patient survival in 20 of 34 cancer types, making it the most broadly survival-associated MIR133A1HG data layer.

The strongest signal is observed in uveal melanoma (UVM), where higher MIR133A1HG RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated MIR133A1HG expression acts as an unfavorable survival marker, although some lineages such as LAML and ESCA show a favorable association.

UVM, LAML, and ESCA are the cancer types where MIR133A1HG 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
UVM	DFS	Tertile	III,IV	0.215	0.747	.002	61	view →
LAML	DFS	Tertile	All	0.630	0.277	<.001	48	view →
ESCA	OS	Tertile	All	0.641	0.413	.011	34	view →
SKCM	DFS	Quartile	All	0.590	0.760	<.001	34	view →
LUSC	DFS	Tertile	II,III,IV	0.651	0.471	.010	29	view →
LGG	OS	Quartile	All	0.973	0.816	<.001	27	view →
KIRP	OS	Quartile	III,IV	0.478	0.750	.011	25	view →
CHOL	DFS	Tertile	All	0.783	0.289	.009	18	view →
UCS	OS	Quartile	II,III,IV	0.694	0.222	.008	18	view →
LUAD	OS	Quartile	All	0.779	0.605	.001	14	view →
MESO	OS	Tertile	All	0.198	0.609	.019	12	view →
ACC	OS	Quartile	II,III,IV	0.114	0.814	<.001	9	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 20 lineages.

MIR133A1HG–UVM (DFS)

Open the UVM breakdown →