RNU6-123P

associated omics data
RNA, U6 small nuclear 123, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-123P profile across patient tissues and cancer cell-line models. RNU6-123P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNU6-123P is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, RNU6-123P RNA expression shows 7,665 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KICH, and GBM as cancer lineages where RNU6-123P 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 RNU6-123P survival associations across molecular data types. RNU6-123P 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.
RNU6-123P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13UVM (63)view →
This table ranks reproducible RNU6-123P RNA expression–survival associations across cancer types. High RNU6-123P expression shows unfavorable associations in UVM, UCEC, DLBC, ACC, LUSC and BRCA. 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 RNU6-123P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSTertileAll0.4070.781<.00163view →
UCECDFSTertileIII,IV0.6820.819.01748view →
DLBCOSTertileAll0.1530.800.00648view →
ACCDFSTertileIV0.0480.411.00136view →
LUSCOSTertileIV0.0570.786.00836view →
BRCAOSTertileIV0.4200.827.00836view →
Pink = unfavorable, green = favorable. all 13 lineages →

RNU6-123P-UVM (DFS)

Kaplan–Meier survival curve for RNU6-123P RNA expression in UVM: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-123P 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 KICH for RNA.
RNU6-123P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3KICH (5)view →
This table ranks reproducible tumor–normal expression differences for RNU6-123P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-123P shows lower tumor expression in KICH and higher tumor expression in LUSC and KIRP. The KICH box plot shows higher RNU6-123P RNA expression in normal versus tumor tissue (log2 FC = −0.350, t-test p = .003).
LineageGenderStageFold-changepSampling consensus
KICHAllAll−0.350.0035view →
LUSCFemaleII,III,IV+0.547.0133view →
KIRPMaleAll+0.217.0341view →
Green = repressed in tumor. all 3 lineages →

RNU6-123P-KICH

Tumor-vs-normal expression box plot for RNU6-123P in KICH.

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Cross-omics associations

This table shows molecular features associated with RNU6-123P in patient tissues and cancer cell lines. In patient samples, RNU6-123P shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)7,665GBM (2421)view →
RNA6,710LAML (3216)view →