Q-omics provides the consensus-scored H2BC12 profile across patient tissues and cancer cell-line models. H2BC12 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, H2BC12 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, H2BC12 RNA expression shows 18,246 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where H2BC12 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 H2BC12 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2BC12 survival associations across molecular data types. H2BC12 RNA expression shows survival associations in the most cancer types (22), 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 H2BC12 RNA expression–survival associations across cancer types. High H2BC12 expression shows unfavorable associations in ACC, LUAD, KIRP and LGG, but favorable associations in 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 H2BC12 RNA expression.
This table summarizes H2BC12 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for H2BC12. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2BC12 shows higher tumor expression in HNSC, KIRP, KIRC, LIHC, BLCA and LUAD. The HNSC box plot shows higher H2BC12 RNA expression in tumor versus normal tissue (log2 FC = +2.338, t-test p < 0.001).
This table shows molecular features associated with H2BC12 in patient tissues and cancer cell lines. In patient samples, H2BC12 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, H2BC12 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 LUNG_SCLC and SOFT_TISSUE.
