Q-omics provides the consensus-scored ZNF407 profile across patient tissues and cancer cell-line models. ZNF407 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ZNF407 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, ZNF407 RNA expression shows 21,886 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LIHC, and ACC as cancer lineages where ZNF407 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 ZNF407 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF407 survival associations across molecular data types. ZNF407 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9) 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 ZNF407 RNA expression–survival associations across cancer types. High ZNF407 expression shows unfavorable associations in ACC, but favorable associations in KIRC, SCLC, HNSC, UCS and PAAD. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for ZNF407 RNA expression.
This table summarizes ZNF407 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 2. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ZNF407. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF407 shows lower tumor expression in THCA, COAD, UCEC and BRCA and higher tumor expression in LIHC and CHOL. The LIHC box plot shows higher ZNF407 RNA expression in tumor versus normal tissue (log2 FC = +0.618, t-test p < 0.001).
This table shows molecular features associated with ZNF407 in patient tissues and cancer cell lines. In patient samples, ZNF407 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, ZNF407 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 OESOPHAGUS and BLOOD_Leukemia.
