RNU2-50P

associated omics data
RNA, U2 small nuclear 50, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU2-50P profile across patient tissues and cancer cell-line models. RNU2-50P expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RNU2-50P is differentially expressed in 4, with the highest sampling consensus in KIRC. Additionally, RNU2-50P RNA expression shows 6,231 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, KIRC, and STAD as cancer lineages where RNU2-50P 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 RNU2-50P survival associations across molecular data types. RNU2-50P RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU2-50P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20ACC (90)view →
This table ranks reproducible RNU2-50P RNA expression–survival associations across cancer types. High RNU2-50P expression shows unfavorable associations in ACC, CESC, BLCA, PAAD and LUSC, but favorable associations in OV. The ACC 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 ACC as the clearest survival context for RNU2-50P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileAll0.0460.753<.00190view →
OVOSTertileII,III,IV0.3890.301.00478view →
CESCOSTertileIV0.1640.612.01372view →
BLCADFSTertileAll0.4340.640.00536view →
PAADOSTertileII,III,IV0.2970.563.00636view →
LUSCOSTertileII,III,IV0.5980.742.01736view →
Pink = unfavorable, green = favorable. all 20 lineages →

RNU2-50P-ACC (DFS)

Kaplan–Meier survival curve for RNU2-50P RNA expression in ACC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU2-50P 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 KIRC for RNA.
RNU2-50P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4KIRC (3)view →
This table ranks reproducible tumor–normal expression differences for RNU2-50P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU2-50P shows higher tumor expression in KIRC, HNSC, LUAD and LUSC. The KIRC box plot shows higher RNU2-50P RNA expression in tumor versus normal tissue (log2 FC = +0.036, t-test p = .024).
LineageGenderStageFold-changepSampling consensus
KIRCAllAll+0.036.0243view →
HNSCAllAll+0.100.0172view →
LUADAllAll+0.123.0481view →
LUSCAllAll+0.055.0331view →
Green = repressed in tumor. all 4 lineages →

RNU2-50P-KIRC

Tumor-vs-normal expression box plot for RNU2-50P in KIRC.

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Cross-omics associations

This table shows molecular features associated with RNU2-50P in patient tissues and cancer cell lines. In patient samples, RNU2-50P 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)6,231STAD (5633)view →
RNA5,656LUAD (2346)view →