Q-omics provides the consensus-scored UNC13A profile across patient tissues and cancer cell-line models. UNC13A expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, UNC13A is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, UNC13A RNA expression shows 17,823 significant gene co-expression associations, with the highest sampling consensus in PCPG. Together, these results highlight KIRP, HNSC, and PCPG as cancer lineages where UNC13A 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 UNC13A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UNC13A survival associations across molecular data types. UNC13A RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UNC13A RNA expression–survival associations across cancer types. High UNC13A expression shows unfavorable associations in KIRP, LUSC and ACC, but favorable associations in HNSC, LGG and PAAD. 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 UNC13A RNA expression.
This table summarizes UNC13A 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 UNC13A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UNC13A shows higher tumor expression in HNSC, BRCA, LIHC, LUAD, STAD and CHOL. The HNSC box plot shows higher UNC13A RNA expression in tumor versus normal tissue (log2 FC = +0.120, t-test p < 0.001).
This table shows molecular features associated with UNC13A in patient tissues and cancer cell lines. In patient samples, UNC13A shows the broadest associations at the RNA and protein expression levels, with PCPG recurring as the lineage with the largest associated feature set. In cancer cell lines, UNC13A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LARGE_INTESTINE.
