RNU4-53P

associated omics data
RNA, U4 small nuclear 53, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU4-53P profile across patient tissues and cancer cell-line models. RNU4-53P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNU4-53P is differentially expressed in 6, with the highest sampling consensus in LUSC. Additionally, RNU4-53P RNA expression shows 12,074 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and LUSC as cancer lineages where RNU4-53P 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 RNU4-53P survival associations across molecular data types. RNU4-53P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU4-53P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier14UVM (150)view →
This table ranks reproducible RNU4-53P RNA expression–survival associations across cancer types. High RNU4-53P expression shows unfavorable associations in UVM, LUAD, TGCT, HNSC, LIHC and ACC. The UVM 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 UVM as the clearest survival context for RNU4-53P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSTertileAll0.4120.828<.001150view →
LUADOSTertileAll0.7540.830.00950view →
TGCTDFSTertileAll0.6440.842.00548view →
HNSCOSTertileIII,IV0.3500.583.01045view →
LIHCDFSTertileII,III,IV0.1770.354.01518view →
ACCOSTertileAll0.7590.901.02218view →
Pink = unfavorable, green = favorable. all 14 lineages →

RNU4-53P-UVM (DFS)

Kaplan–Meier survival curve for RNU4-53P RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU4-53P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in LUSC for RNA.
RNU4-53P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6LUSC (4)view →
This table ranks reproducible tumor–normal expression differences for RNU4-53P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU4-53P shows lower tumor expression in KIRP and higher tumor expression in LUSC, HNSC, BLCA, LUAD and CHOL. The LUSC box plot shows higher RNU4-53P RNA expression in tumor versus normal tissue (log2 FC = +0.260, t-test p = .001).
LineageGenderStageFold-changepSampling consensus
LUSCMaleAll+0.260.0014view →
HNSCAllIII,IV+0.128.0124view →
BLCAAllAll+0.322.0292view →
LUADAllAll+0.181.0192view →
CHOLAllAll+0.750.0351view →
KIRPMaleAll−0.305.0481view →
Green = repressed in tumor. all 6 lineages →

RNU4-53P-LUSC

Tumor-vs-normal expression box plot for RNU4-53P in LUSC.

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Cross-omics associations

This table shows molecular features associated with RNU4-53P in patient tissues and cancer cell lines. In patient samples, RNU4-53P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,074UVM (6384)view →
Function (RNA)6,692STAD (4415)view →