tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta pseudogene 4Genealiases: []
Q-omics provides the consensus-scored YWHAZP4 profile across patient tissues and cancer cell-line models. YWHAZP4 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, YWHAZP4 is differentially expressed in 10, with the highest sampling consensus in LUAD. Additionally, YWHAZP4 RNA expression shows 20,322 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LUAD, and ACC as cancer lineages where YWHAZP4 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 YWHAZP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YWHAZP4 survival associations across molecular data types. YWHAZP4 RNA expression shows survival associations in the most cancer types (28). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YWHAZP4 RNA expression–survival associations across cancer types. High YWHAZP4 expression shows unfavorable associations in KIRP, LIHC, UVM and BLCA, but favorable associations in KIRC and UCS. 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 YWHAZP4 RNA expression.
This table summarizes YWHAZP4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for YWHAZP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YWHAZP4 shows higher tumor expression in LUAD, HNSC, LUSC, BLCA, BRCA and CHOL. The LUAD box plot shows higher YWHAZP4 RNA expression in tumor versus normal tissue (log2 FC = +0.981, t-test p < 0.001).
This table shows molecular features associated with YWHAZP4 in patient tissues and cancer cell lines. In patient samples, YWHAZP4 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
