Q-omics provides the consensus-scored UICLM profile across patient tissues and cancer cell-line models. UICLM expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, UICLM is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, UICLM RNA expression shows 12,659 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight COAD, KICH, and TGCT as cancer lineages where UICLM 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 UICLM — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UICLM survival associations across molecular data types. UICLM RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UICLM RNA expression–survival associations across cancer types. High UICLM expression shows unfavorable associations in COAD, PRAD and UCEC, but favorable associations in LUAD, READ and HNSC. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify COAD as the clearest survival context for UICLM RNA expression.
This table summarizes UICLM tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for UICLM. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UICLM shows lower tumor expression in KICH, LIHC, LUSC, KIRP, KIRC and BRCA. The KICH box plot shows higher UICLM RNA expression in normal versus tumor tissue (log2 FC = −1.481, t-test p < 0.001).
This table shows molecular features associated with UICLM in patient tissues and cancer cell lines. In patient samples, UICLM shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
