Q-omics provides the consensus-scored H2AW profile across patient tissues and cancer cell-line models. H2AW expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, H2AW is differentially expressed in 17, with the highest sampling consensus in KIRP. Additionally, H2AW RNA expression shows 14,365 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, and ACC as cancer lineages where H2AW 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 H2AW — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AW survival associations across molecular data types. H2AW RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AW RNA expression–survival associations across cancer types. High H2AW expression shows unfavorable associations in KIRP, HNSC, UCS and COAD, but favorable associations in LGG and GBM. The KIRP 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 KIRP as the clearest survival context for H2AW RNA expression.
This table summarizes H2AW tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for H2AW. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AW shows higher tumor expression in KIRP, KICH, COAD, THCA, KIRC and BLCA. The KIRP box plot shows higher H2AW RNA expression in tumor versus normal tissue (log2 FC = +3.066, t-test p < 0.001).
This table shows molecular features associated with H2AW in patient tissues and cancer cell lines. In patient samples, H2AW shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, H2AW RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and SOFT_TISSUE.
