zinc finger protein 76Genealiases: D6S229E · ZNF523 · Zfp523
Q-omics provides the consensus-scored ZNF76 profile across patient tissues and cancer cell-line models. ZNF76 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in SCLC. Among the 18 cancer types available for tumor–normal comparison, ZNF76 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, ZNF76 RNA expression shows 20,724 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight SCLC, KICH, and ACC as cancer lineages where ZNF76 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 ZNF76 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF76 survival associations across molecular data types. ZNF76 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF76 RNA expression–survival associations across cancer types. High ZNF76 expression shows unfavorable associations in ACC, LIHC and STAD, but favorable associations in SCLC, READ and PAAD. The SCLC 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 SCLC as the clearest survival context for ZNF76 RNA expression.
This table summarizes ZNF76 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, 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 ZNF76. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF76 shows lower tumor expression in KICH and THCA and higher tumor expression in LIHC, COAD, CHOL and STAD. The KICH box plot shows higher ZNF76 RNA expression in normal versus tumor tissue (log2 FC = −1.095, t-test p < 0.001).
This table shows molecular features associated with ZNF76 in patient tissues and cancer cell lines. In patient samples, ZNF76 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, ZNF76 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 SKIN and BLOOD_Leukemia.
