Q-omics provides the consensus-scored UNC93B4 profile across patient tissues and cancer cell-line models. UNC93B4 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, UNC93B4 is differentially expressed in 7, with the highest sampling consensus in STAD. Additionally, UNC93B4 RNA expression shows 5,442 significant pathway-activity associations, with the highest sampling consensus in KIRC. Together, these results highlight ACC, STAD, and KIRC as cancer lineages where UNC93B4 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 UNC93B4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UNC93B4 survival associations across molecular data types. UNC93B4 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 UNC93B4 RNA expression–survival associations across cancer types. High UNC93B4 expression shows unfavorable associations in ACC, KICH, LGG and UCEC, but favorable associations in BLCA and READ. 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 UNC93B4 RNA expression.
This table summarizes UNC93B4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for UNC93B4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UNC93B4 shows higher tumor expression in STAD, COAD, KICH, THCA, LIHC and KIRC. The STAD box plot shows higher UNC93B4 RNA expression in tumor versus normal tissue (log2 FC = +0.146, t-test p = .002).
This table shows molecular features associated with UNC93B4 in patient tissues and cancer cell lines. In patient samples, UNC93B4 shows the broadest associations at the RNA and protein expression levels, with KIRC recurring as the lineage with the largest associated feature set.
