UGT1A2P

associated omics data
Gene

Q-omics provides the consensus-scored UGT1A2P profile across patient tissues and cancer cell-line models. UGT1A2P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, UGT1A2P is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, UGT1A2P RNA expression shows 10,999 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, KIRC, and LSCC as cancer lineages where UGT1A2P 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 UGT1A2P survival associations across molecular data types. UGT1A2P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
UGT1A2P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier14KIRP (83)view →
This table ranks reproducible UGT1A2P RNA expression–survival associations across cancer types. High UGT1A2P expression shows unfavorable associations in KIRP, COAD, CHOL and THCA, but favorable associations in KIRC and LUSC. The KIRP 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 KIRP as the clearest survival context for UGT1A2P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSMedianAll0.4580.669<.00183view →
KIRCDFSQuartileIV0.7670.420<.00140view →
LUSCDFSQuartileAll0.7780.661.00736view →
COADOSTertileAll0.6660.834.01132view →
CHOLOSQuartileII,III,IV0.1750.875<.00130view →
THCAOSTertileII,III,IV0.1880.877.00327view →
Pink = unfavorable, green = favorable. all 14 lineages →

UGT1A2P-KIRP (DFS)

Kaplan–Meier survival curve for UGT1A2P RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes UGT1A2P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
UGT1A2P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for UGT1A2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UGT1A2P shows lower tumor expression in KICH, COAD, CHOL and LIHC and higher tumor expression in KIRC and LUSC. The KIRC box plot shows higher UGT1A2P RNA expression in tumor versus normal tissue (log2 FC = +0.242, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleAll+0.242<.00111view →
LUSCMaleAll+0.371<.0016view →
KICHAllIII,IV−0.107.0026view →
COADAllII,III,IV−0.065.0184view →
CHOLAllAll−1.524<.0013view →
LIHCFemaleAll−1.443<.0012view →
Green = repressed in tumor. all 11 lineages →

UGT1A2P-KIRC

Tumor-vs-normal expression box plot for UGT1A2P in KIRC.

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Cross-omics associations

This table shows molecular features associated with UGT1A2P in patient tissues and cancer cell lines. In patient samples, UGT1A2P 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)10,999LSCC (5531)view →
RNA7,616LIHC (1944)view →