UGT2A3

associated omics data
Gene

Q-omics provides the consensus-scored UGT2A3 profile across patient tissues and cancer cell-line models. UGT2A3 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UGT2A3 is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, UGT2A3 RNA expression shows 13,501 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, COAD, and TGCT as cancer lineages where UGT2A3 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 UGT2A3 survival associations across molecular data types. UGT2A3 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (5) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
UGT2A3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier17KIRC (198)view →
MutationKaplan–Meier5BLCA (27)view →
Protein (mass-spec)Kaplan–Meier3PDAC (93)view →
This table ranks reproducible UGT2A3 RNA expression–survival associations across cancer types. High UGT2A3 expression shows favorable associations in KIRC, BLCA, KIRP, ACC, COAD and OV. 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 UGT2A3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.7540.509<.001198view →
BLCADFSMedianAll0.5970.436<.00177view →
KIRPDFSQuartileII,III,IV0.9530.517<.00141view →
ACCDFSMedianAll0.7230.374.00534view →
COADOSQuartileAll0.9810.834.00133view →
OVOSTertileII,III,IV0.4000.298.00830view →
Pink = unfavorable, green = favorable. all 17 lineages →

UGT2A3-KIRC (OS)

Kaplan–Meier survival curve for UGT2A3 RNA expression in KIRC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes UGT2A3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and COAD for protein.
UGT2A3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot5COAD (12)view →
Protein (mass-spec)Box plot2COAD (12)view →
This table ranks reproducible tumor–normal expression differences for UGT2A3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UGT2A3 shows lower tumor expression in COAD, KICH, READ and CHOL and higher tumor expression in KIRC. The COAD box plot shows higher UGT2A3 RNA expression in normal versus tumor tissue (log2 FC = −4.917, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADAllIV−4.917<.00112view →
KICHAllIV−5.922<.00111view →
KIRCMaleII,III,IV+1.758<.0019view →
READAllAll−4.033<.0015view →
CHOLAllII,III,IV−3.030.0412view →
Green = repressed in tumor. all 5 lineages →

UGT2A3-COAD

Tumor-vs-normal expression box plot for UGT2A3 in COAD.

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Cross-omics associations

This table shows molecular features associated with UGT2A3 in patient tissues and cancer cell lines. In patient samples, UGT2A3 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, UGT2A3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LIVER.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA13,501TGCT (5752)view →
Function (RNA)6,909LIHC (3540)view →
Mutation
RNA3,622UCEC (2979)view →
Protein (RPPA)38UCEC (34)view →
Protein (mass-spec)
Protein (mass-spec)3,155CCRCC (1724)view →
RNA2,326CCRCC (1345)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,999SOFT_TISSUE (171)view →
RNA1,611UPPER_AERODIGESTIVE_TRACT (334)view →
RNA
RNA1,969LIVER (747)view →
Function (RNA)708LIVER (341)view →
Mutation
Mutation843LARGE_INTESTINE (251)view →
RNA15LARGE_INTESTINE (6)view →
shRNA
shRNA793BREAST (153)view →
CRISPR674LUNG_NSCLC_LUAD (146)view →