RNU6-1025P

associated omics data
RNA, U6 small nuclear 1025, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1025P profile across patient tissues and cancer cell-line models. RNU6-1025P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RNU6-1025P is differentially expressed in 4, with the highest sampling consensus in BRCA. Additionally, RNU6-1025P RNA expression shows 6,219 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, BRCA, and STAD as cancer lineages where RNU6-1025P 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 RNU6-1025P survival associations across molecular data types. RNU6-1025P RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1025P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13LIHC (45)view →
This table ranks reproducible RNU6-1025P RNA expression–survival associations across cancer types. High RNU6-1025P expression shows unfavorable associations in LIHC, KICH, READ and CHOL, but favorable associations in BRCA and LUAD. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify LIHC as the clearest survival context for RNU6-1025P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCOSTertileIII,IV0.1610.661<.00145view →
BRCADFSTertileIII,IV0.9420.767.00742view →
KICHOSTertileIII,IV0.1780.847<.00136view →
READDFSTertileAll0.4370.753.00721view →
LUADOSTertileAll0.8730.793.01821view →
CHOLOSTertileAll0.2180.676.02018view →
Pink = unfavorable, green = favorable. all 13 lineages →

RNU6-1025P-LIHC (OS)

Kaplan–Meier survival curve for RNU6-1025P RNA expression in LIHC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-1025P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in BRCA for RNA.
RNU6-1025P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4BRCA (2)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1025P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1025P shows lower tumor expression in BRCA and THCA and higher tumor expression in STAD and CHOL. The BRCA box plot shows higher RNU6-1025P RNA expression in normal versus tumor tissue (log2 FC = −0.172, t-test p = .028).
LineageGenderStageFold-changepSampling consensus
BRCAAllIII,IV−0.172.0282view →
STADAllIII,IV+0.983.0201view →
CHOLAllAll+0.410.0321view →
THCAAllII,III,IV−0.153.0231view →
Green = repressed in tumor. all 4 lineages →

RNU6-1025P-BRCA

Tumor-vs-normal expression box plot for RNU6-1025P in BRCA.

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Cross-omics associations

This table shows molecular features associated with RNU6-1025P in patient tissues and cancer cell lines. In patient samples, RNU6-1025P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,219STAD (5112)view →
RNA5,644LAML (2091)view →