RNU6-1181P

associated omics data
RNA, U6 small nuclear 1181, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1181P profile across patient tissues and cancer cell-line models. RNU6-1181P expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RNU6-1181P is differentially expressed in 3, with the highest sampling consensus in LUAD. Additionally, RNU6-1181P RNA expression shows 9,061 significant gene co-expression associations, with the highest sampling consensus in CESC. Together, these results highlight HNSC, LUAD, and CESC as cancer lineages where RNU6-1181P 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 RNU6-1181P survival associations across molecular data types. RNU6-1181P RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1181P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier9HNSC (33)view →
This table ranks reproducible RNU6-1181P RNA expression–survival associations across cancer types. High RNU6-1181P expression shows unfavorable associations in HNSC, BLCA, THCA, STAD and KICH, but favorable associations in LUAD. The HNSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .018). Together, the overview and detailed table identify HNSC as the clearest survival context for RNU6-1181P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSTertileAll0.1090.363.01833view →
BLCAOSTertileIII,IV0.0900.582<.00118view →
THCADFSTertileIV0.0750.807<.00112view →
STADDFSTertileIV0.0830.379.0019view →
KICHDFSTertileII,III,IV0.1020.775.0259view →
LUADOSTertileAll0.7700.666.0309view →
Pink = unfavorable, green = favorable. all 9 lineages →

RNU6-1181P-HNSC (DFS)

Kaplan–Meier survival curve for RNU6-1181P RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU6-1181P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in LUAD for RNA.
RNU6-1181P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3LUAD (7)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1181P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1181P shows lower tumor expression in LUAD, LUSC and UCEC. The LUAD box plot shows higher RNU6-1181P RNA expression in normal versus tumor tissue (log2 FC = −0.688, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADAllII,III,IV−0.688<.0017view →
LUSCFemaleAll−0.785<.0016view →
UCECAllAll−0.715.0106view →
Green = repressed in tumor. all 3 lineages →

RNU6-1181P-LUAD

Tumor-vs-normal expression box plot for RNU6-1181P in LUAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RNU6-1181P in patient tissues and cancer cell lines. In patient samples, RNU6-1181P shows the broadest associations at the RNA and protein expression levels, with CESC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA9,061CESC (2816)view →
Protein (mass-spec)6,795UCEC (2474)view →