Q-omics provides the consensus-scored UBE2C profile across patient tissues and cancer cell-line models. UBE2C expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, UBE2C is differentially expressed in 18, with the highest sampling consensus in HNSC. Additionally, UBE2C RNA expression shows 26,269 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, HNSC, and LUAD as cancer lineages where UBE2C 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 UBE2C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBE2C survival associations across molecular data types. UBE2C RNA expression shows survival associations in the most cancer types (28), 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 UBE2C RNA expression–survival associations across cancer types. High UBE2C expression shows unfavorable associations in ACC, KIRP, MESO, KIRC, LIHC and KICH. The ACC 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 ACC as the clearest survival context for UBE2C RNA expression.
This table summarizes UBE2C tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 18. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for UBE2C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBE2C shows higher tumor expression in HNSC, BLCA, LUAD, KIRP, KIRC and COAD. The HNSC box plot shows higher UBE2C RNA expression in tumor versus normal tissue (log2 FC = +2.692, t-test p < 0.001).
This table shows molecular features associated with UBE2C in patient tissues and cancer cell lines. In patient samples, UBE2C shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, UBE2C 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 SOFT_TISSUE and BONE.
