Q-omics provides the consensus-scored ZNF774 profile across patient tissues and cancer cell-line models. ZNF774 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, ZNF774 is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, ZNF774 RNA expression shows 20,865 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KICH, and UVM as cancer lineages where ZNF774 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 ZNF774 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF774 survival associations across molecular data types. ZNF774 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF774 RNA expression–survival associations across cancer types. High ZNF774 expression shows unfavorable associations in KICH and KIRP, but favorable associations in KIRC, READ, LUAD and UCS. The KICH 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 KICH as the clearest survival context for ZNF774 RNA expression.
This table summarizes ZNF774 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for ZNF774. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF774 shows lower tumor expression in KICH and KIRC and higher tumor expression in LUAD, STAD, LUSC and LIHC. The KICH box plot shows higher ZNF774 RNA expression in normal versus tumor tissue (log2 FC = −0.760, t-test p < 0.001).
This table shows molecular features associated with ZNF774 in patient tissues and cancer cell lines. In patient samples, ZNF774 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, ZNF774 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
