zinc finger protein 487Genealiases: KRBO1 · ZNF487P
Q-omics provides the consensus-scored ZNF487 profile across patient tissues and cancer cell-line models. ZNF487 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ZNF487 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, ZNF487 RNA expression shows 19,083 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KIRC, and UVM as cancer lineages where ZNF487 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 ZNF487 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF487 survival associations across molecular data types. ZNF487 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF487 RNA expression–survival associations across cancer types. High ZNF487 expression shows unfavorable associations in ACC, LIHC, BLCA and KIRC, but favorable associations in MESO and UCEC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for ZNF487 RNA expression.
This table summarizes ZNF487 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ZNF487. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF487 shows lower tumor expression in KICH, LUSC, THCA and LUAD and higher tumor expression in KIRC and LIHC. The KIRC box plot shows higher ZNF487 RNA expression in tumor versus normal tissue (log2 FC = +0.345, t-test p < 0.001).
This table shows molecular features associated with ZNF487 in patient tissues and cancer cell lines. In patient samples, ZNF487 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, ZNF487 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LARGE_INTESTINE.
