Q-omics provides the consensus-scored H2AC3P profile across patient tissues and cancer cell-line models. H2AC3P expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, H2AC3P is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, H2AC3P RNA expression shows 9,982 significant gene co-expression associations, with the highest sampling consensus in HNSC. Together, these results highlight ESCA, KICH, and HNSC as cancer lineages where H2AC3P 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 H2AC3P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AC3P survival associations across molecular data types. H2AC3P RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AC3P RNA expression–survival associations across cancer types. High H2AC3P expression shows unfavorable associations in ESCA, THCA, CHOL, UCEC, CESC and ACC. The ESCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify ESCA as the clearest survival context for H2AC3P RNA expression.
This table summarizes H2AC3P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for H2AC3P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AC3P shows lower tumor expression in KICH and higher tumor expression in LIHC and KIRC. The KICH box plot shows higher H2AC3P RNA expression in normal versus tumor tissue (log2 FC = −0.136, t-test p < 0.001).
This table shows molecular features associated with H2AC3P in patient tissues and cancer cell lines. In patient samples, H2AC3P shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
