Q-omics provides the consensus-scored H2BC20P profile across patient tissues and cancer cell-line models. H2BC20P 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, H2BC20P is differentially expressed in 16, with the highest sampling consensus in KIRC. Additionally, H2BC20P RNA expression shows 19,752 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KIRC, and UVM as cancer lineages where H2BC20P 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 H2BC20P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2BC20P survival associations across molecular data types. H2BC20P RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2BC20P RNA expression–survival associations across cancer types. High H2BC20P expression shows unfavorable associations in ACC, KIRP, KIRC, UVM, COAD and LIHC. 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 H2BC20P RNA expression.
This table summarizes H2BC20P 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for H2BC20P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2BC20P shows higher tumor expression in KIRC, HNSC, BLCA, COAD, LIHC and LUAD. The KIRC box plot shows higher H2BC20P RNA expression in tumor versus normal tissue (log2 FC = +1.110, t-test p < 0.001).
This table shows molecular features associated with H2BC20P in patient tissues and cancer cell lines. In patient samples, H2BC20P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, H2BC20P RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BREAST.
