Q-omics provides the consensus-scored ZNF432 profile across patient tissues and cancer cell-line models. ZNF432 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, ZNF432 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, ZNF432 RNA expression shows 21,380 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LGG, KICH, and THYM as cancer lineages where ZNF432 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 ZNF432 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF432 survival associations across molecular data types. ZNF432 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF432 RNA expression–survival associations across cancer types. High ZNF432 expression shows unfavorable associations in LGG, LUSC, UVM and LIHC, but favorable associations in BLCA and GBM. The LGG 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 LGG as the clearest survival context for ZNF432 RNA expression.
This table summarizes ZNF432 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for ZNF432. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF432 shows lower tumor expression in KICH and THCA and higher tumor expression in LIHC, BLCA, KIRC and COAD. The KICH box plot shows higher ZNF432 RNA expression in normal versus tumor tissue (log2 FC = −0.872, t-test p < 0.001).
This table shows molecular features associated with ZNF432 in patient tissues and cancer cell lines. In patient samples, ZNF432 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, ZNF432 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
