Q-omics provides the consensus-scored H2AZP3 profile across patient tissues and cancer cell-line models. H2AZP3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, H2AZP3 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, H2AZP3 RNA expression shows 16,411 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, COAD, and ACC as cancer lineages where H2AZP3 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 H2AZP3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AZP3 survival associations across molecular data types. H2AZP3 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AZP3 RNA expression–survival associations across cancer types. High H2AZP3 expression shows unfavorable associations in LIHC, ACC, KICH, LUAD and BRCA, but favorable associations in UCEC. The LIHC 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 LIHC as the clearest survival context for H2AZP3 RNA expression.
This table summarizes H2AZP3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for H2AZP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AZP3 shows higher tumor expression in COAD, UCEC, HNSC, LIHC, LUSC and BRCA. The COAD box plot shows higher H2AZP3 RNA expression in tumor versus normal tissue (log2 FC = +1.895, t-test p < 0.001).
This table shows molecular features associated with H2AZP3 in patient tissues and cancer cell lines. In patient samples, H2AZP3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
