Q-omics provides the consensus-scored H2AZP2 profile across patient tissues and cancer cell-line models. H2AZP2 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, H2AZP2 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, H2AZP2 RNA expression shows 8,901 significant gene co-expression associations, with the highest sampling consensus in READ. Together, these results highlight HNSC, COAD, and READ as cancer lineages where H2AZP2 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 H2AZP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AZP2 survival associations across molecular data types. H2AZP2 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AZP2 RNA expression–survival associations across cancer types. High H2AZP2 expression shows unfavorable associations in HNSC, KIRC, PRAD, UVM and LUSC, but favorable associations in MESO. The HNSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .008). Together, the overview and detailed table identify HNSC as the clearest survival context for H2AZP2 RNA expression.
This table summarizes H2AZP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for H2AZP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AZP2 shows higher tumor expression in COAD, HNSC, UCEC, LIHC, STAD and LUSC. The COAD box plot shows higher H2AZP2 RNA expression in tumor versus normal tissue (log2 FC = +1.300, t-test p < 0.001).
This table shows molecular features associated with H2AZP2 in patient tissues and cancer cell lines. In patient samples, H2AZP2 shows the broadest associations at the RNA and protein expression levels, with READ recurring as the lineage with the largest associated feature set.
