RNU6-1057P

associated omics data
RNA, U6 small nuclear 1057, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1057P profile across patient tissues and cancer cell-line models. RNU6-1057P expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in TGCT. Among the 18 cancer types available for tumor–normal comparison, RNU6-1057P is differentially expressed in 3, with the highest sampling consensus in BLCA. Additionally, RNU6-1057P RNA expression shows 7,992 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight TGCT, BLCA, and GBM as cancer lineages where RNU6-1057P 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 RNU6-1057P survival associations across molecular data types. RNU6-1057P RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1057P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier17TGCT (72)view →
This table ranks reproducible RNU6-1057P RNA expression–survival associations across cancer types. High RNU6-1057P expression shows unfavorable associations in TGCT, DLBC, CESC, ACC, UCS and THCA. The TGCT 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 TGCT as the clearest survival context for RNU6-1057P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
TGCTOSTertileAll0.7700.976<.00172view →
DLBCOSTertileII,III,IV0.1720.949<.00154view →
CESCDFSTertileII,III,IV0.5820.803.02436view →
ACCOSTertileAll0.1800.709.01236view →
UCSOSTertileIII,IV0.0010.594<.00136view →
THCADFSTertileAll0.8370.943<.00136view →
Pink = unfavorable, green = favorable. all 17 lineages →

RNU6-1057P-TGCT (OS)

Kaplan–Meier survival curve for RNU6-1057P RNA expression in TGCT: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-1057P 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 BLCA for RNA.
RNU6-1057P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3BLCA (2)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1057P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1057P shows lower tumor expression in COAD and higher tumor expression in BLCA and ESCA. The BLCA box plot shows higher RNU6-1057P RNA expression in tumor versus normal tissue (log2 FC = +0.222, t-test p = .017).
LineageGenderStageFold-changepSampling consensus
BLCAAllAll+0.222.0172view →
COADMaleAll−0.157.0382view →
ESCAAllAll+0.613.0391view →
Green = repressed in tumor. all 3 lineages →

RNU6-1057P-BLCA

Tumor-vs-normal expression box plot for RNU6-1057P in BLCA.

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Cross-omics associations

This table shows molecular features associated with RNU6-1057P in patient tissues and cancer cell lines. In patient samples, RNU6-1057P 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)7,992GBM (3591)view →
Function (RNA)6,325STAD (5112)view →