Q-omics provides the consensus-scored H4C10P profile across patient tissues and cancer cell-line models. H4C10P expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, H4C10P is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, H4C10P RNA expression shows 15,428 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight MESO, KIRC, and ACC as cancer lineages where H4C10P 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 H4C10P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H4C10P survival associations across molecular data types. H4C10P 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 H4C10P RNA expression–survival associations across cancer types. High H4C10P expression shows unfavorable associations in KIRP, COAD and ACC, but favorable associations in MESO, OV and SKCM. The MESO Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify MESO as the clearest survival context for H4C10P RNA expression.
This table summarizes H4C10P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for H4C10P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H4C10P shows lower tumor expression in COAD and higher tumor expression in KIRC, LIHC, HNSC, KIRP and BRCA. The KIRC box plot shows higher H4C10P RNA expression in tumor versus normal tissue (log2 FC = +0.899, t-test p < 0.001).
This table shows molecular features associated with H4C10P in patient tissues and cancer cell lines. In patient samples, H4C10P shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
