uracil phosphoribosyltransferase homologGenealiases: FUR1 · UPP
Q-omics provides the consensus-scored UPRT profile across patient tissues and cancer cell-line models. UPRT 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, UPRT is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, UPRT protein abundance shows 28,701 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, THCA, and LSCC as cancer lineages where UPRT 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.
Premium analyses for UPRT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UPRT survival associations across molecular data types. UPRT RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UPRT RNA expression–survival associations across cancer types. High UPRT expression shows unfavorable associations in LGG, HNSC and UVM, but favorable associations in KIRC, ACC and PAAD. 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 UPRT RNA expression.
This table summarizes UPRT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 11. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for UPRT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UPRT shows lower tumor expression in THCA, LUSC and LUAD and higher tumor expression in LIHC, BRCA and CHOL. The THCA box plot shows higher UPRT RNA expression in normal versus tumor tissue (log2 FC = −0.407, t-test p < 0.001).
This table shows molecular features associated with UPRT in patient tissues and cancer cell lines. In patient samples, UPRT shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, UPRT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
