Q-omics provides the consensus-scored GNG8 profile across patient tissues and cancer cell-line models. GNG8 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, GNG8 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, GNG8 RNA expression shows 14,272 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight HNSC, COAD, and THYM as cancer lineages where GNG8 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 GNG8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNG8 survival associations across molecular data types. GNG8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GNG8 RNA expression–survival associations across cancer types. High GNG8 expression shows unfavorable associations in KIRP, ACC and KIRC, but favorable associations in HNSC, CESC and SKCM. The HNSC 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 HNSC as the clearest survival context for GNG8 RNA expression.
This table summarizes GNG8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for GNG8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNG8 shows lower tumor expression in COAD, KICH, KIRP and BLCA and higher tumor expression in HNSC and BRCA. The COAD box plot shows higher GNG8 RNA expression in normal versus tumor tissue (log2 FC = −1.685, t-test p < 0.001).
This table shows molecular features associated with GNG8 in patient tissues and cancer cell lines. In patient samples, GNG8 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, GNG8 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 LIVER and LUNG_SCLC.
