Q-omics provides the consensus-scored H2AC5P profile across patient tissues and cancer cell-line models. H2AC5P expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, H2AC5P is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, H2AC5P RNA expression shows 12,512 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight DLBC, HNSC, and LUAD as cancer lineages where H2AC5P 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 H2AC5P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AC5P survival associations across molecular data types. H2AC5P RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AC5P RNA expression–survival associations across cancer types. High H2AC5P expression shows unfavorable associations in UCEC, ACC and COAD, but favorable associations in DLBC, LUAD and LIHC. The DLBC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify DLBC as the clearest survival context for H2AC5P RNA expression.
This table summarizes H2AC5P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for H2AC5P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AC5P shows lower tumor expression in THCA and higher tumor expression in HNSC, STAD, BRCA, LUSC and UCEC. The HNSC box plot shows higher H2AC5P RNA expression in tumor versus normal tissue (log2 FC = +0.121, t-test p < 0.001).
This table shows molecular features associated with H2AC5P in patient tissues and cancer cell lines. In patient samples, H2AC5P shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
