Q-omics provides the consensus-scored ZNF404 profile across patient tissues and cancer cell-line models. ZNF404 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ZNF404 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, ZNF404 RNA expression shows 18,088 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where ZNF404 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 ZNF404 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF404 survival associations across molecular data types. ZNF404 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF404 RNA expression–survival associations across cancer types. High ZNF404 expression shows unfavorable associations in KIRC, READ and STAD, but favorable associations in PAAD, BLCA and ACC. The KIRC 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 KIRC as the clearest survival context for ZNF404 RNA expression.
This table summarizes ZNF404 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for ZNF404. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF404 shows lower tumor expression in COAD, UCEC, KIRC and BRCA and higher tumor expression in CHOL and LIHC. The COAD box plot shows higher ZNF404 RNA expression in normal versus tumor tissue (log2 FC = −0.432, t-test p < 0.001).
This table shows molecular features associated with ZNF404 in patient tissues and cancer cell lines. In patient samples, ZNF404 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, ZNF404 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 LIVER and BONE.
