Q-omics provides the consensus-scored UBB profile across patient tissues and cancer cell-line models. UBB expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UBB is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, UBB RNA expression shows 17,891 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where UBB 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 UBB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBB survival associations across molecular data types. UBB RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBB RNA expression–survival associations across cancer types. High UBB expression shows unfavorable associations in UVM, LUSC, KICH, STAD and LGG, but favorable associations in KIRC. 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 UBB RNA expression.
This table summarizes UBB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for UBB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBB shows lower tumor expression in THCA, LUAD, KICH, LUSC and KIRC and higher tumor expression in BRCA. The THCA box plot shows higher UBB RNA expression in normal versus tumor tissue (log2 FC = −0.712, t-test p < 0.001).
This table shows molecular features associated with UBB in patient tissues and cancer cell lines. In patient samples, UBB shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, UBB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
