HECT, C2 and WW domain containing E3 ubiquitin protein ligase 2Genealiases: NDHSAL · NEDL2
Q-omics provides the consensus-scored HECW2 profile across patient tissues and cancer cell-line models. HECW2 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, HECW2 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, HECW2 RNA expression shows 19,290 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, and THYM as cancer lineages where HECW2 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 HECW2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HECW2 survival associations across molecular data types. HECW2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HECW2 RNA expression–survival associations across cancer types. High HECW2 expression shows unfavorable associations in UVM, KIRP, BLCA, STAD and MESO, but favorable associations in KIRC. 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 HECW2 RNA expression.
This table summarizes HECW2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HECW2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HECW2 shows lower tumor expression in KICH, LUSC and LUAD and higher tumor expression in KIRC, COAD and STAD. The KIRC box plot shows higher HECW2 RNA expression in tumor versus normal tissue (log2 FC = +1.849, t-test p < 0.001).
This table shows molecular features associated with HECW2 in patient tissues and cancer cell lines. In patient samples, HECW2 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, HECW2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and LARGE_INTESTINE.
