Q-omics provides the consensus-scored UNC13C profile across patient tissues and cancer cell-line models. UNC13C 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, UNC13C is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, UNC13C protein abundance shows 23,294 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, KIRC, and GBM as cancer lineages where UNC13C 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 UNC13C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UNC13C survival associations across molecular data types. UNC13C RNA expression shows survival associations in the most cancer types (21), followed by mutation status (13) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UNC13C RNA expression–survival associations across cancer types. High UNC13C expression shows unfavorable associations in KIRP, THYM and LIHC, but favorable associations in UCS, ACC and LUAD. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for UNC13C RNA expression.
This table summarizes UNC13C tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for UNC13C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UNC13C shows lower tumor expression in KIRC, THCA, STAD, BRCA, KIRP and READ. The KIRC box plot shows higher UNC13C RNA expression in normal versus tumor tissue (log2 FC = −0.670, t-test p < 0.001).
This table shows molecular features associated with UNC13C in patient tissues and cancer cell lines. In patient samples, UNC13C shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, UNC13C 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 BLOOD_Lymphoma and LARGE_INTESTINE.
