Q-omics provides the consensus-scored ZNF777 profile across patient tissues and cancer cell-line models. ZNF777 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, ZNF777 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, ZNF777 RNA expression shows 19,138 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight MESO, HNSC, and ACC as cancer lineages where ZNF777 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 ZNF777 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF777 survival associations across molecular data types. ZNF777 RNA expression shows survival associations in the most cancer types (22), 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 ZNF777 RNA expression–survival associations across cancer types. High ZNF777 expression shows unfavorable associations in MESO, LIHC and COAD, but favorable associations in SCLC, UCEC and ACC. The MESO 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 MESO as the clearest survival context for ZNF777 RNA expression.
This table summarizes ZNF777 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ZNF777. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF777 shows higher tumor expression in HNSC, COAD, LIHC, LUSC, BLCA and KIRP. The HNSC box plot shows higher ZNF777 RNA expression in tumor versus normal tissue (log2 FC = +0.996, t-test p < 0.001).
This table shows molecular features associated with ZNF777 in patient tissues and cancer cell lines. In patient samples, ZNF777 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, ZNF777 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 SKIN and LARGE_INTESTINE.
