RNU6-647P

associated omics data
RNA, U6 small nuclear 647, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-647P profile across patient tissues and cancer cell-line models. RNU6-647P expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, RNU6-647P is differentially expressed in 1, with the highest sampling consensus in LUSC. Additionally, RNU6-647P RNA expression shows 8,439 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight CHOL, LUSC, and LSCC as cancer lineages where RNU6-647P 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 RNU6-647P survival associations across molecular data types. RNU6-647P RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-647P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier10CHOL (117)view →
This table ranks reproducible RNU6-647P RNA expression–survival associations across cancer types. High RNU6-647P expression shows unfavorable associations in CHOL, LIHC, KIRP, OV, KIRC and THCA. The CHOL 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 CHOL as the clearest survival context for RNU6-647P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CHOLDFSTertileII,III,IV0.0380.459<.001117view →
LIHCOSTertileII,III,IV0.1760.711<.00181view →
KIRPDFSTertileAll0.2100.800<.00136view →
OVOSTertileIV0.2070.419.01730view →
KIRCDFSTertileAll0.7220.819.01027view →
THCAOSTertileAll0.9810.983.02824view →
Pink = unfavorable, green = favorable. all 10 lineages →

RNU6-647P-CHOL (DFS)

Kaplan–Meier survival curve for RNU6-647P RNA expression in CHOL: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-647P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LUSC for RNA.
RNU6-647P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot1LUSC (1)view →
This table ranks reproducible tumor–normal expression differences for RNU6-647P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-647P shows higher tumor expression in LUSC. The LUSC box plot shows higher RNU6-647P RNA expression in tumor versus normal tissue (log2 FC = +0.124, t-test p = .029).
LineageGenderStageFold-changepSampling consensus
LUSCAllAll+0.124.0291view →
Green = repressed in tumor. all 1 lineages →

RNU6-647P-LUSC

Tumor-vs-normal expression box plot for RNU6-647P in LUSC.

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Cross-omics associations

This table shows molecular features associated with RNU6-647P in patient tissues and cancer cell lines. In patient samples, RNU6-647P shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)8,439LSCC (2359)view →
RNA7,746LAML (2479)view →