Q-omics provides the consensus-scored UACA profile across patient tissues and cancer cell-line models. UACA expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, UACA is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, UACA protein abundance shows 26,683 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight BLCA, KICH, and LUAD as cancer lineages where UACA 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 UACA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UACA survival associations across molecular data types. UACA RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UACA RNA expression–survival associations across cancer types. High UACA expression shows unfavorable associations in BLCA, ACC, KIRP, PAAD, KICH and LGG. The BLCA 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 BLCA as the clearest survival context for UACA RNA expression.
This table summarizes UACA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in KICH for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for UACA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UACA shows lower tumor expression in KICH, LUSC, LUAD, KIRP and BRCA and higher tumor expression in LIHC. The KICH box plot shows higher UACA RNA expression in normal versus tumor tissue (log2 FC = −2.011, t-test p < 0.001).
This table shows molecular features associated with UACA in patient tissues and cancer cell lines. In patient samples, UACA 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, UACA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BONE.
