Q-omics provides the consensus-scored H2AZP4 profile across patient tissues and cancer cell-line models. H2AZP4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in PAAD. Among the 18 cancer types available for tumor–normal comparison, H2AZP4 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, H2AZP4 RNA expression shows 8,856 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight PAAD, and HNSC as cancer lineages where H2AZP4 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 H2AZP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AZP4 survival associations across molecular data types. H2AZP4 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AZP4 RNA expression–survival associations across cancer types. High H2AZP4 expression shows unfavorable associations in PAAD, KICH, ACC and LGG, but favorable associations in COAD and LAML. The PAAD 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 PAAD as the clearest survival context for H2AZP4 RNA expression.
This table summarizes H2AZP4 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for H2AZP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AZP4 shows lower tumor expression in READ and KICH and higher tumor expression in HNSC, UCEC, COAD and BRCA. The HNSC box plot shows higher H2AZP4 RNA expression in tumor versus normal tissue (log2 FC = +0.332, t-test p = .001).
This table shows molecular features associated with H2AZP4 in patient tissues and cancer cell lines. In patient samples, H2AZP4 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
