RNU6-1093P

associated omics data
RNA, U6 small nuclear 1093, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1093P profile across patient tissues and cancer cell-line models. RNU6-1093P expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, RNU6-1093P is differentially expressed in 3, with the highest sampling consensus in STAD. Additionally, RNU6-1093P RNA expression shows 6,799 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight UCS, STAD, and ESCA as cancer lineages where RNU6-1093P 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 RNU6-1093P survival associations across molecular data types. RNU6-1093P RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1093P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier15UCS (72)view →
This table ranks reproducible RNU6-1093P RNA expression–survival associations across cancer types. High RNU6-1093P expression shows unfavorable associations in UCS, ESCA, SKCM, LIHC, TGCT and THYM. The UCS 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 UCS as the clearest survival context for RNU6-1093P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCSDFSTertileIV0.1920.776<.00172view →
ESCAOSQuartileAll0.3331.000.00155view →
SKCMOSTertileII,III,IV0.4970.745.00154view →
LIHCDFSTertileAll0.1110.534<.00154view →
TGCTDFSTertileII,III,IV0.0150.919<.00136view →
THYMDFSTertileAll0.3170.851<.00130view →
Pink = unfavorable, green = favorable. all 15 lineages →

RNU6-1093P-UCS (DFS)

Kaplan–Meier survival curve for RNU6-1093P RNA expression in UCS: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-1093P 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 STAD for RNA.
RNU6-1093P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3STAD (4)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1093P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1093P shows lower tumor expression in THCA and COAD and higher tumor expression in STAD. The STAD box plot shows higher RNU6-1093P RNA expression in tumor versus normal tissue (log2 FC = +0.827, t-test p = .002).
LineageGenderStageFold-changepSampling consensus
STADMaleAll+0.827.0024view →
THCAAllAll−0.154.0122view →
COADAllII,III,IV−0.057.0401view →
Green = repressed in tumor. all 3 lineages →

RNU6-1093P-STAD

Tumor-vs-normal expression box plot for RNU6-1093P in STAD.

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Cross-omics associations

This table shows molecular features associated with RNU6-1093P in patient tissues and cancer cell lines. In patient samples, RNU6-1093P shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA6,799ESCA (3917)view →
Function (RNA)5,900STAD (3745)view →