Q-omics provides the consensus-scored GNE profile across patient tissues and cancer cell-line models. GNE expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GNE is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, GNE RNA expression shows 20,872 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where GNE 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 GNE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNE survival associations across molecular data types. GNE RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GNE RNA expression–survival associations across cancer types. High GNE expression shows unfavorable associations in ACC and ESCA, but favorable associations in KIRC, KIRP, SKCM and LIHC. 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 GNE RNA expression.
This table summarizes GNE 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 6. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GNE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNE shows lower tumor expression in THCA, LIHC, KICH, COAD, BRCA and CHOL. The THCA box plot shows higher GNE RNA expression in normal versus tumor tissue (log2 FC = −0.887, t-test p < 0.001).
This table shows molecular features associated with GNE in patient tissues and cancer cell lines. In patient samples, GNE shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, GNE 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 STOMACH and UPPER_AERODIGESTIVE_TRACT.
