Q-omics provides the consensus-scored GOLGA8K profile across patient tissues and cancer cell-line models. GOLGA8K expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GOLGA8K is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, GOLGA8K RNA expression shows 18,214 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCEC, THCA, and THYM as cancer lineages where GOLGA8K 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 GOLGA8K — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOLGA8K survival associations across molecular data types. GOLGA8K RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOLGA8K RNA expression–survival associations across cancer types. High GOLGA8K expression shows unfavorable associations in UCEC, LUSC, COAD and BLCA, but favorable associations in HNSC and SKCM. The UCEC 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 UCEC as the clearest survival context for GOLGA8K RNA expression.
This table summarizes GOLGA8K tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for GOLGA8K. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOLGA8K shows lower tumor expression in THCA, BRCA, LUSC, LUAD, COAD and KICH. The THCA box plot shows higher GOLGA8K RNA expression in normal versus tumor tissue (log2 FC = −0.521, t-test p < 0.001).
This table shows molecular features associated with GOLGA8K in patient tissues and cancer cell lines. In patient samples, GOLGA8K 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, GOLGA8K RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia.
