Q-omics provides the consensus-scored H2AC14 profile across patient tissues and cancer cell-line models. H2AC14 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, H2AC14 is differentially expressed in 13, with the highest sampling consensus in LUAD. Additionally, H2AC14 RNA expression shows 16,551 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, and LUAD as cancer lineages where H2AC14 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 H2AC14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AC14 survival associations across molecular data types. H2AC14 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AC14 RNA expression–survival associations across cancer types. High H2AC14 expression shows unfavorable associations in ACC, KIRC, LIHC, PAAD and HNSC, but favorable associations in READ. The ACC 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 ACC as the clearest survival context for H2AC14 RNA expression.
This table summarizes H2AC14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for H2AC14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AC14 shows higher tumor expression in LUAD, STAD, UCEC, HNSC, LUSC and LIHC. The LUAD box plot shows higher H2AC14 RNA expression in tumor versus normal tissue (log2 FC = +0.492, t-test p < 0.001).
This table shows molecular features associated with H2AC14 in patient tissues and cancer cell lines. In patient samples, H2AC14 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, H2AC14 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and PANCREAS.
