Q-omics provides the consensus-scored H1-0 profile across patient tissues and cancer cell-line models. H1-0 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, H1-0 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, H1-0 protein abundance shows 21,215 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where H1-0 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 H1-0 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H1-0 survival associations across molecular data types. H1-0 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H1-0 RNA expression–survival associations across cancer types. High H1-0 expression shows unfavorable associations in ACC and MESO, but favorable associations in BRCA, SKCM, KIRP 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 < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for H1-0 RNA expression.
This table summarizes H1-0 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for H1-0. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H1-0 shows lower tumor expression in KIRC and THCA and higher tumor expression in HNSC, LIHC, LUAD and BLCA. The KIRC box plot shows higher H1-0 RNA expression in normal versus tumor tissue (log2 FC = −1.961, t-test p < 0.001).
This table shows molecular features associated with H1-0 in patient tissues and cancer cell lines. In patient samples, H1-0 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, H1-0 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LUNG_NSCLC_LUAD.
