Q-omics provides the consensus-scored HERC3 profile across patient tissues and cancer cell-line models. HERC3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HERC3 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, HERC3 RNA expression shows 20,229 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, COAD, and THYM as cancer lineages where HERC3 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 HERC3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HERC3 survival associations across molecular data types. HERC3 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HERC3 RNA expression–survival associations across cancer types. High HERC3 expression shows unfavorable associations in LUSC, PAAD and BLCA, but favorable associations in KIRC, ACC and KIRP. The KIRC 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 KIRC as the clearest survival context for HERC3 RNA expression.
This table summarizes HERC3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 1. The strongest signals are observed in COAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for HERC3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HERC3 shows lower tumor expression in COAD, LUAD, LUSC, UCEC, THCA and KIRP. The COAD box plot shows higher HERC3 RNA expression in normal versus tumor tissue (log2 FC = −1.037, t-test p < 0.001).
This table shows molecular features associated with HERC3 in patient tissues and cancer cell lines. In patient samples, HERC3 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, HERC3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BLOOD_Leukemia.
