RNU6-1098P

associated omics data
RNA, U6 small nuclear 1098, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1098P profile across patient tissues and cancer cell-line models. RNU6-1098P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RNU6-1098P is differentially expressed in 4, with the highest sampling consensus in THCA. Additionally, RNU6-1098P RNA expression shows 14,782 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight HNSC, THCA, and THYM as cancer lineages where RNU6-1098P 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 RNU6-1098P survival associations across molecular data types. RNU6-1098P 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.
RNU6-1098P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13HNSC (75)view →
This table ranks reproducible RNU6-1098P RNA expression–survival associations across cancer types. High RNU6-1098P expression shows unfavorable associations in ACC, READ, LGG and PCPG, but favorable associations in HNSC and UCS. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for RNU6-1098P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCOSQuartileII,III,IV0.7690.605<.00175view →
UCSDFSMedianIII,IV0.6540.226<.00172view →
ACCOSTertileIII,IV0.1710.568.02921view →
READOSTertileIII,IV0.7210.902.03521view →
LGGOSTertileAll0.7320.831.00812view →
PCPGDFSTertileAll0.7570.948.0129view →
Pink = unfavorable, green = favorable. all 13 lineages →

RNU6-1098P-HNSC (OS)

Kaplan–Meier survival curve for RNU6-1098P RNA expression in HNSC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-1098P 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 THCA for RNA.
RNU6-1098P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4THCA (8)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1098P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1098P shows lower tumor expression in THCA and higher tumor expression in KIRC, CHOL and STAD. The THCA box plot shows higher RNU6-1098P RNA expression in normal versus tumor tissue (log2 FC = −0.724, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAAllII,III,IV−0.724<.0018view →
KIRCMaleAll+0.558<.0015view →
CHOLAllAll+1.462.0062view →
STADMaleIV+1.795.0021view →
Green = repressed in tumor. all 4 lineages →

RNU6-1098P-THCA

Tumor-vs-normal expression box plot for RNU6-1098P in THCA.

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Cross-omics associations

This table shows molecular features associated with RNU6-1098P in patient tissues and cancer cell lines. In patient samples, RNU6-1098P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA14,782THYM (6688)view →
Protein (mass-spec)12,561GBM (5236)view →