UBA6-AS1

associated omics data
Gene

Q-omics provides the consensus-scored UBA6-AS1 profile across patient tissues and cancer cell-line models. UBA6-AS1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, UBA6-AS1 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, UBA6-AS1 RNA expression shows 19,951 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LGG, HNSC, and ACC as cancer lineages where UBA6-AS1 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 UBA6-AS1 survival associations across molecular data types. UBA6-AS1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
UBA6-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23LGG (47)view →
This table ranks reproducible UBA6-AS1 RNA expression–survival associations across cancer types. High UBA6-AS1 expression shows unfavorable associations in LGG, LIHC and COAD, but favorable associations in OV, ESCA and UCEC. The LGG 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 LGG as the clearest survival context for UBA6-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LGGOSMedianAll0.7500.869<.00147view →
OVOSMedianIV0.8560.650.01030view →
LIHCDFSTertileAll0.3150.466.00227view →
COADDFSQuartileII,III,IV0.5680.838.00226view →
ESCADFSTertileAll1.0000.433.00625view →
UCECDFSQuartileIII,IV0.9080.773.02122view →
Pink = unfavorable, green = favorable. all 23 lineages →

UBA6-AS1-LGG (OS)

Kaplan–Meier survival curve for UBA6-AS1 RNA expression in LGG: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes UBA6-AS1 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 HNSC for RNA.
UBA6-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14HNSC (12)view →
This table ranks reproducible tumor–normal expression differences for UBA6-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBA6-AS1 shows lower tumor expression in THCA and higher tumor expression in HNSC, LUAD, LIHC, KIRC and LUSC. The HNSC box plot shows higher UBA6-AS1 RNA expression in tumor versus normal tissue (log2 FC = +0.946, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleIV+0.946<.00112view →
THCAAllII,III,IV−0.415<.0019view →
LUADMaleII,III,IV+0.620<.0018view →
LIHCFemaleII,III,IV+0.663<.0017view →
KIRCAllAll+0.302<.0017view →
LUSCFemaleAll+0.659<.0016view →
Green = repressed in tumor. all 14 lineages →

UBA6-AS1-HNSC

Tumor-vs-normal expression box plot for UBA6-AS1 in HNSC.

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Cross-omics associations

This table shows molecular features associated with UBA6-AS1 in patient tissues and cancer cell lines. In patient samples, UBA6-AS1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,951ACC (8638)view →
Protein (mass-spec)8,878GBM (2862)view →