Q-omics provides the consensus-scored H3C4 profile across patient tissues and cancer cell-line models. H3C4 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, H3C4 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, H3C4 RNA expression shows 15,975 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where H3C4 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 H3C4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H3C4 survival associations across molecular data types. H3C4 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H3C4 RNA expression–survival associations across cancer types. High H3C4 expression shows unfavorable associations in ACC, KIRC and KIRP, but favorable associations in SCLC, OV and CESC. 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 H3C4 RNA expression.
This table summarizes H3C4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for H3C4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H3C4 shows higher tumor expression in KIRC, LIHC, BLCA, LUAD, BRCA and UCEC. The KIRC box plot shows higher H3C4 RNA expression in tumor versus normal tissue (log2 FC = +0.640, t-test p < 0.001).
This table shows molecular features associated with H3C4 in patient tissues and cancer cell lines. In patient samples, H3C4 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, H3C4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in CNS and SOFT_TISSUE.
