Q-omics provides the consensus-scored H1-6 profile across patient tissues and cancer cell-line models. H1-6 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, H1-6 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, H1-6 RNA expression shows 9,308 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where H1-6 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 H1-6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H1-6 survival associations across molecular data types. H1-6 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H1-6 RNA expression–survival associations across cancer types. High H1-6 expression shows unfavorable associations in ACC, PAAD, COAD, LGG, UCEC and ESCA. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify ACC as the clearest survival context for H1-6 RNA expression.
This table summarizes H1-6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for H1-6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H1-6 shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRC, BRCA, LUAD and LIHC. The HNSC box plot shows higher H1-6 RNA expression in tumor versus normal tissue (log2 FC = +0.356, t-test p < 0.001).
This table shows molecular features associated with H1-6 in patient tissues and cancer cell lines. In patient samples, H1-6 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, H1-6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LARGE_INTESTINE.
