Q-omics provides the consensus-scored HECW1 profile across patient tissues and cancer cell-line models. HECW1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, HECW1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, HECW1 protein abundance shows 29,410 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, KIRC, and GBM as cancer lineages where HECW1 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 HECW1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HECW1 survival associations across molecular data types. HECW1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (15) 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 HECW1 RNA expression–survival associations across cancer types. High HECW1 expression shows unfavorable associations in KICH, BLCA, UVM, ACC and STAD, but favorable associations in LGG. The KICH 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 KICH as the clearest survival context for HECW1 RNA expression.
This table summarizes HECW1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HECW1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HECW1 shows lower tumor expression in KIRC and THCA and higher tumor expression in HNSC, COAD, LUAD and LUSC. The KIRC box plot shows higher HECW1 RNA expression in normal versus tumor tissue (log2 FC = −1.360, t-test p < 0.001).
This table shows molecular features associated with HECW1 in patient tissues and cancer cell lines. In patient samples, HECW1 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, HECW1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BONE.
