Q-omics provides the consensus-scored HERC2P10 profile across patient tissues and cancer cell-line models. HERC2P10 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, HERC2P10 is differentially expressed in 10, with the highest sampling consensus in UCEC. Additionally, HERC2P10 RNA expression shows 17,927 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, UCEC, and UVM as cancer lineages where HERC2P10 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 HERC2P10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HERC2P10 survival associations across molecular data types. HERC2P10 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HERC2P10 RNA expression–survival associations across cancer types. High HERC2P10 expression shows unfavorable associations in KICH, MESO, THCA, BLCA and LGG, but favorable associations in HNSC. The HNSC 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 HNSC as the clearest survival context for HERC2P10 RNA expression.
This table summarizes HERC2P10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HERC2P10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HERC2P10 shows lower tumor expression in THCA and higher tumor expression in UCEC, HNSC, LUSC, KIRP and LUAD. The UCEC box plot shows higher HERC2P10 RNA expression in tumor versus normal tissue (log2 FC = +0.360, t-test p = .001).
This table shows molecular features associated with HERC2P10 in patient tissues and cancer cell lines. In patient samples, HERC2P10 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
