RNU6-850P

associated omics data
Gene

Q-omics provides the consensus-scored RNU6-850P profile across patient tissues and cancer cell-line models. RNU6-850P expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNU6-850P is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, RNU6-850P RNA expression shows 19,007 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KICH, COAD, and THYM as cancer lineages where RNU6-850P 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 RNU6-850P survival associations across molecular data types. RNU6-850P RNA expression shows survival associations in the most cancer types (30). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-850P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier30KICH (67)view →
This table ranks reproducible RNU6-850P RNA expression–survival associations across cancer types. High RNU6-850P expression shows unfavorable associations in KICH, LGG, KIRC and COAD, but favorable associations in UCS and BRCA. 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 RNU6-850P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KICHDFSMedianII,III,IV0.5280.927<.00167view →
LGGDFSMedianAll0.2900.461<.00152view →
KIRCDFSTertileAll0.4980.733<.00150view →
COADDFSMedianIII,IV0.2330.710<.00145view →
UCSDFSMedianIV0.9520.367.00136view →
BRCAOSTertileAll0.9760.938.00135view →
Pink = unfavorable, green = favorable. all 30 lineages →

RNU6-850P-KICH (DFS)

Kaplan–Meier survival curve for RNU6-850P RNA expression in KICH: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU6-850P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in COAD for RNA.
RNU6-850P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14COAD (11)view →
This table ranks reproducible tumor–normal expression differences for RNU6-850P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-850P shows higher tumor expression in COAD, BLCA, READ, LIHC, KIRP and KIRC. The COAD box plot shows higher RNU6-850P RNA expression in tumor versus normal tissue (log2 FC = +1.429, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADMaleII,III,IV+1.429<.00111view →
BLCAFemaleIII,IV+1.641<.00110view →
READFemaleAll+2.809<.0017view →
LIHCAllII,III,IV+0.875<.0017view →
KIRPAllII,III,IV+1.043.0095view →
KIRCAllAll+0.514<.0015view →
Green = repressed in tumor. all 14 lineages →

RNU6-850P-COAD

Tumor-vs-normal expression box plot for RNU6-850P in COAD.

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Cross-omics associations

This table shows molecular features associated with RNU6-850P in patient tissues and cancer cell lines. In patient samples, RNU6-850P 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
RNA19,007THYM (7208)view →
Protein (mass-spec)10,541GBM (3346)view →