deleted in azoospermia 4Genealiases: pDP1680 · pDP1681
Q-omics provides the consensus-scored DAZ4 profile across patient tissues and cancer cell-line models. DAZ4 expression is associated with patient survival in 5 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DAZ4 is differentially expressed in 1, with the highest sampling consensus in STAD. Additionally, DAZ4 RNA expression shows 853 significant gene co-expression associations, with the highest sampling consensus in SKCM. Together, these results highlight KIRC, STAD, and SKCM as cancer lineages where DAZ4 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 DAZ4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DAZ4 survival associations across molecular data types. DAZ4 RNA expression shows survival associations in the most cancer types (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DAZ4 RNA expression–survival associations across cancer types. High DAZ4 expression shows unfavorable associations in KIRC, SKCM, LIHC, PAAD and PRAD. The KIRC 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 KIRC as the clearest survival context for DAZ4 RNA expression.
This table summarizes DAZ4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for DAZ4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DAZ4 shows lower tumor expression in STAD. The STAD box plot shows higher DAZ4 RNA expression in normal versus tumor tissue (log2 FC = −0.045, t-test p = .012).
This table shows molecular features associated with DAZ4 in patient tissues and cancer cell lines. In patient samples, DAZ4 shows the broadest associations at the RNA and protein expression levels, with SKCM recurring as the lineage with the largest associated feature set. In cancer cell lines, DAZ4 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 LARGE_INTESTINE.
