RNU1-48P

Q-omics provides the consensus-scored RNU1-48P profile across patient tissues and cancer cell-line models. RNU1-48P expression is associated with patient survival in 2 of 34 cancer types, with the highest sampling consensus in CESC. Additionally, RNU1-48P RNA expression shows 2,536 significant gene co-expression associations, with the highest sampling consensus in OV. Together, these results highlight CESC, and OV as cancer lineages where RNU1-48P shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.

Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.

Survival associations

This table summarizes RNU1-48P survival associations across molecular data types. RNU1-48P RNA expression shows survival associations in the most cancer types (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

RNU1-48P data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	2	CESC (36)	view →

This table ranks reproducible RNU1-48P RNA expression–survival associations across cancer types. High RNU1-48P expression shows unfavorable associations in CESC and LGG. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify CESC as the clearest survival context for RNU1-48P RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
CESC	DFS	Tertile	All	0.176	0.740	.005	36	view →
LGG	DFS	Tertile	All	0.110	0.833	<.001	18	view →

Pink = unfavorable, green = favorable. all 2 lineages →

RNU1-48P-CESC (DFS)

Explore this curve interactively →