Q-omics provides the consensus-scored UBE2E4P profile across patient tissues and cancer cell-line models. UBE2E4P expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, UBE2E4P is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, UBE2E4P RNA expression shows 18,556 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where UBE2E4P 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 UBE2E4P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBE2E4P survival associations across molecular data types. UBE2E4P RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBE2E4P RNA expression–survival associations across cancer types. High UBE2E4P expression shows unfavorable associations in ACC, MESO, LIHC, STAD and UCEC, but favorable associations in UCS. 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 UBE2E4P RNA expression.
This table summarizes UBE2E4P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for UBE2E4P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBE2E4P shows lower tumor expression in KICH and BRCA and higher tumor expression in HNSC, COAD, CHOL and LUSC. The HNSC box plot shows higher UBE2E4P RNA expression in tumor versus normal tissue (log2 FC = +0.631, t-test p < 0.001).
This table shows molecular features associated with UBE2E4P in patient tissues and cancer cell lines. In patient samples, UBE2E4P 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, UBE2E4P RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in CNS.
