heart development protein with EGF like domains 1Genealiases: HEG · MST112 · MSTP112
Q-omics provides the consensus-scored HEG1 profile across patient tissues and cancer cell-line models. HEG1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HEG1 is differentially expressed in 12, with the highest sampling consensus in LUAD. Additionally, HEG1 RNA expression shows 19,538 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, LUAD, and THYM as cancer lineages where HEG1 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 HEG1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HEG1 survival associations across molecular data types. HEG1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) 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 HEG1 RNA expression–survival associations across cancer types. High HEG1 expression shows unfavorable associations in UVM, KIRP, BLCA and ACC, but favorable associations in KIRC and HNSC. 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 HEG1 RNA expression.
This table summarizes HEG1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 5. The strongest signals are observed in LUAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for HEG1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HEG1 shows lower tumor expression in LUAD, KICH, UCEC, LUSC and KIRP and higher tumor expression in HNSC. The LUAD box plot shows higher HEG1 RNA expression in normal versus tumor tissue (log2 FC = −1.918, t-test p < 0.001).
This table shows molecular features associated with HEG1 in patient tissues and cancer cell lines. In patient samples, HEG1 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, HEG1 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 SOFT_TISSUE and BONE.
