RNU6-1102P

associated omics data
RNA, U6 small nuclear 1102, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1102P profile across patient tissues and cancer cell-line models. RNU6-1102P expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNU6-1102P is differentially expressed in 2, with the highest sampling consensus in ESCA. Additionally, RNU6-1102P RNA expression shows 9,867 significant gene co-expression associations, with the highest sampling consensus in LUAD. Together, these results highlight KICH, ESCA, and LUAD as cancer lineages where RNU6-1102P 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 RNU6-1102P survival associations across molecular data types. RNU6-1102P RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1102P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier8KICH (90)view →
This table ranks reproducible RNU6-1102P RNA expression–survival associations across cancer types. High RNU6-1102P expression shows unfavorable associations in KICH, CESC, LIHC, KIRC, ACC and PCPG. The KICH 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 KICH as the clearest survival context for RNU6-1102P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KICHDFSTertileAll0.0810.904<.00190view →
CESCOSTertileII,III,IV0.2050.764.00772view →
LIHCOSTertileAll0.1730.567<.00154view →
KIRCDFSTertileII,III,IV0.5790.781.02224view →
ACCDFSTertileAll0.1770.672.02018view →
PCPGDFSTertileAll0.0970.817<.00118view →
Pink = unfavorable, green = favorable. all 8 lineages →

RNU6-1102P-KICH (DFS)

Kaplan–Meier survival curve for RNU6-1102P RNA expression in KICH: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU6-1102P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in KIRC for RNA.
RNU6-1102P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot2KIRC (3)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1102P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1102P shows higher tumor expression in ESCA and KIRC. The ESCA box plot shows higher RNU6-1102P RNA expression in tumor versus normal tissue (log2 FC = +0.510, t-test p = .018).
LineageGenderStageFold-changepSampling consensus
ESCAAllII,III,IV+0.510.0183view →
KIRCAllIII,IV+0.091.0233view →
Green = repressed in tumor. all 2 lineages →

RNU6-1102P-ESCA

Tumor-vs-normal expression box plot for RNU6-1102P in ESCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RNU6-1102P in patient tissues and cancer cell lines. In patient samples, RNU6-1102P shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA9,867LUAD (3092)view →
Function (RNA)5,850STAD (5002)view →