Q-omics provides the consensus-scored H3C9P profile across patient tissues and cancer cell-line models. H3C9P expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, H3C9P is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, H3C9P RNA expression shows 15,650 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where H3C9P 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 H3C9P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H3C9P survival associations across molecular data types. H3C9P RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H3C9P RNA expression–survival associations across cancer types. High H3C9P expression shows unfavorable associations in ACC, STAD, KIRP, KIRC and PAAD, but favorable associations in COAD. 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 H3C9P RNA expression.
This table summarizes H3C9P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for H3C9P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H3C9P shows lower tumor expression in KICH and higher tumor expression in LIHC, UCEC, BLCA, BRCA and CHOL. The KICH box plot shows higher H3C9P RNA expression in normal versus tumor tissue (log2 FC = −0.643, t-test p < 0.001).
This table shows molecular features associated with H3C9P in patient tissues and cancer cell lines. In patient samples, H3C9P shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
