Q-omics provides the consensus-scored UBC profile across patient tissues and cancer cell-line models. UBC expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, UBC is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, UBC RNA expression shows 18,933 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, KIRC, and ACC as cancer lineages where UBC 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 UBC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBC survival associations across molecular data types. UBC RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBC RNA expression–survival associations across cancer types. High UBC expression shows unfavorable associations in KIRP, ACC, MESO, LGG and UVM, but favorable associations in SKCM. 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 UBC RNA expression.
This table summarizes UBC 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for UBC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBC shows lower tumor expression in THCA, BLCA and KICH and higher tumor expression in KIRC, LIHC and KIRP. The KIRC box plot shows higher UBC RNA expression in tumor versus normal tissue (log2 FC = +1.094, t-test p < 0.001).
This table shows molecular features associated with UBC in patient tissues and cancer cell lines. In patient samples, UBC 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, UBC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and CNS.
