Q-omics provides the consensus-scored GHET1 profile across patient tissues and cancer cell-line models. GHET1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, GHET1 is differentially expressed in 14, with the highest sampling consensus in KIRP. Additionally, GHET1 RNA expression shows 18,501 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, and UVM as cancer lineages where GHET1 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 GHET1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GHET1 survival associations across molecular data types. GHET1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GHET1 RNA expression–survival associations across cancer types. High GHET1 expression shows unfavorable associations in KIRP, LIHC, UVM and MESO, but favorable associations in KIRC and OV. The KIRP 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 KIRP as the clearest survival context for GHET1 RNA expression.
This table summarizes GHET1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for GHET1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GHET1 shows higher tumor expression in KIRP, BLCA, HNSC, LUAD, LIHC and LUSC. The KIRP box plot shows higher GHET1 RNA expression in tumor versus normal tissue (log2 FC = +0.661, t-test p < 0.001).
This table shows molecular features associated with GHET1 in patient tissues and cancer cell lines. In patient samples, GHET1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
