HECT and RLD domain containing E3 ubiquitin protein ligase family member 1Genealiases: MDFPMR · p532 · p619
Q-omics provides the consensus-scored HERC1 profile across patient tissues and cancer cell-line models. HERC1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HERC1 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, HERC1 protein abundance shows 33,792 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, THCA, and GBM as cancer lineages where HERC1 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 HERC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HERC1 survival associations across molecular data types. HERC1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (10) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HERC1 RNA expression–survival associations across cancer types. High HERC1 expression shows unfavorable associations in ACC and OV, but favorable associations in KIRC, SCLC, HNSC and LGG. 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 HERC1 RNA expression.
This table summarizes HERC1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 8. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HERC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HERC1 shows lower tumor expression in THCA, UCEC, BRCA and LUAD and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher HERC1 RNA expression in normal versus tumor tissue (log2 FC = −1.072, t-test p < 0.001).
This table shows molecular features associated with HERC1 in patient tissues and cancer cell lines. In patient samples, HERC1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, HERC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and UPPER_AERODIGESTIVE_TRACT.
