UGT3A1

associated omics data
UDP glycosyltransferase family 3 member A1Genealiases: []

Q-omics provides the consensus-scored UGT3A1 profile across patient tissues and cancer cell-line models. UGT3A1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UGT3A1 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, UGT3A1 RNA expression shows 8,867 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, KICH, and TGCT as cancer lineages where UGT3A1 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 UGT3A1 survival associations across molecular data types. UGT3A1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (7) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
UGT3A1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21KIRC (102)view →
MutationKaplan–Meier7LUAD (18)view →
Protein (mass-spec)Kaplan–Meier1CCRCC (3)view →
This table ranks reproducible UGT3A1 RNA expression–survival associations across cancer types. High UGT3A1 expression shows unfavorable associations in KIRP, KICH and THCA, but favorable associations in KIRC, HNSC and UCS. The KIRC 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 KIRC as the clearest survival context for UGT3A1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSTertileAll0.7320.520<.001102view →
KIRPDFSMedianAll0.8510.966<.00188view →
KICHOSMedianII,III,IV0.7460.978<.00178view →
HNSCDFSMedianAll0.4120.270.00464view →
UCSDFSMedianII,III,IV0.5940.278.00462view →
THCADFSTertileIV0.4050.764.00262view →
Pink = unfavorable, green = favorable. all 21 lineages →

UGT3A1-KIRC (DFS)

Kaplan–Meier survival curve for UGT3A1 RNA expression in KIRC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes UGT3A1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 1. The strongest signals are observed in KICH for RNA and CCRCC for protein.
UGT3A1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot9KICH (11)view →
Protein (mass-spec)Box plot1CCRCC (9)view →
This table ranks reproducible tumor–normal expression differences for UGT3A1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UGT3A1 shows lower tumor expression in KICH, KIRC, CHOL, HNSC, KIRP and PRAD. The KICH box plot shows higher UGT3A1 RNA expression in normal versus tumor tissue (log2 FC = −4.905, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHFemaleII,III,IV−4.905<.00111view →
KIRCMaleIII,IV−2.066<.0018view →
CHOLMaleAll−3.418<.0015view →
HNSCAllAll−0.111.0034view →
KIRPMaleAll−2.590<.0012view →
PRADAllAll−0.250<.0012view →
Green = repressed in tumor. all 9 lineages →

UGT3A1-KICH

Tumor-vs-normal expression box plot for UGT3A1 in KICH.

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Cross-omics associations

This table shows molecular features associated with UGT3A1 in patient tissues and cancer cell lines. In patient samples, UGT3A1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, UGT3A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,867TGCT (4461)view →
Function (RNA)6,793STAD (3108)view →
Mutation
RNA2,322UCEC (1518)view →
Protein (RPPA)35UCEC (19)view →
Protein (mass-spec)
Protein (mass-spec)1,445CCRCC (1445)view →
RNA472CCRCC (472)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,072BLOOD_Lymphoma (185)view →
RNA1,727LUNG_NSCLC_LUSC (270)view →
Mutation
Mutation4,298LARGE_INTESTINE (3760)view →
RNA164LARGE_INTESTINE (148)view →
RNA
RNA2,623SOFT_TISSUE (1107)view →
Function (RNA)811BLOOD_Leukemia (354)view →
shRNA
RNA1,667UPPER_AERODIGESTIVE_TRACT (476)view →
shRNA1,525BREAST (134)view →