RNU6-583P

associated omics data
RNA, U6 small nuclear 583, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-583P profile across patient tissues and cancer cell-line models. RNU6-583P expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RNU6-583P is differentially expressed in 11, with the highest sampling consensus in LUSC. Additionally, RNU6-583P RNA expression shows 13,708 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight LIHC, LUSC, and DLBC as cancer lineages where RNU6-583P 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 RNU6-583P survival associations across molecular data types. RNU6-583P RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-583P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24LIHC (55)view →
This table ranks reproducible RNU6-583P RNA expression–survival associations across cancer types. High RNU6-583P expression shows unfavorable associations in LIHC, LUAD, LGG, CESC and KICH, but favorable associations in COAD. The LIHC 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 LIHC as the clearest survival context for RNU6-583P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCOSTertileAll0.6710.800.00555view →
LUADDFSQuartileIII,IV0.5040.680.01345view →
LGGOSMedianAll0.7190.868<.00142view →
CESCDFSTertileIII,IV0.5350.858.00340view →
KICHDFSTertileAll0.4440.919.00326view →
COADOSMedianII,III,IV0.7820.470.00525view →
Pink = unfavorable, green = favorable. all 24 lineages →

RNU6-583P-LIHC (OS)

Kaplan–Meier survival curve for RNU6-583P RNA expression in LIHC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-583P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in LUSC for RNA.
RNU6-583P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11LUSC (6)view →
This table ranks reproducible tumor–normal expression differences for RNU6-583P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-583P shows higher tumor expression in LUSC, UCEC, BRCA, LUAD, BLCA and STAD. The LUSC box plot shows higher RNU6-583P RNA expression in tumor versus normal tissue (log2 FC = +1.530, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUSCMaleIII,IV+1.530<.0016view →
UCECAllAll+0.526.0016view →
BRCAAllII,III,IV+0.416<.0016view →
LUADAllAll+0.447<.0015view →
BLCAMaleAll+0.740.0074view →
STADMaleAll+0.687<.0014view →
Green = repressed in tumor. all 11 lineages →

RNU6-583P-LUSC

Tumor-vs-normal expression box plot for RNU6-583P in LUSC.

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Cross-omics associations

This table shows molecular features associated with RNU6-583P in patient tissues and cancer cell lines. In patient samples, RNU6-583P shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA13,708DLBC (6861)view →
Protein (mass-spec)8,482GBM (1947)view →