Q-omics provides the consensus-scored H3P39 profile across patient tissues and cancer cell-line models. H3P39 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, H3P39 is differentially expressed in 3, with the highest sampling consensus in UCEC. Additionally, H3P39 RNA expression shows 10,737 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight COAD, UCEC, and UVM as cancer lineages where H3P39 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 H3P39 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H3P39 survival associations across molecular data types. H3P39 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H3P39 RNA expression–survival associations across cancer types. High H3P39 expression shows unfavorable associations in ACC, UCEC, UCS and STAD, but favorable associations in COAD and LUSC. The COAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify COAD as the clearest survival context for H3P39 RNA expression.
This table summarizes H3P39 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for H3P39. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H3P39 shows lower tumor expression in UCEC and higher tumor expression in BRCA and LIHC. The UCEC box plot shows higher H3P39 RNA expression in normal versus tumor tissue (log2 FC = −0.755, t-test p = .002).
This table shows molecular features associated with H3P39 in patient tissues and cancer cell lines. In patient samples, H3P39 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
