golgin A8 family member U, pseudogeneGenealiases: []
Q-omics provides the consensus-scored GOLGA8UP profile across patient tissues and cancer cell-line models. GOLGA8UP expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GOLGA8UP is differentially expressed in 10, with the highest sampling consensus in STAD. Additionally, GOLGA8UP protein abundance shows 33,435 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, STAD, and LSCC as cancer lineages where GOLGA8UP 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 GOLGA8UP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOLGA8UP survival associations across molecular data types. GOLGA8UP RNA expression shows survival associations in the most cancer types (25), followed by 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 GOLGA8UP RNA expression–survival associations across cancer types. High GOLGA8UP expression shows unfavorable associations in ACC, KIRC, LGG and MESO, but favorable associations in READ and HNSC. The ACC 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 ACC as the clearest survival context for GOLGA8UP RNA expression.
This table summarizes GOLGA8UP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for GOLGA8UP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOLGA8UP shows higher tumor expression in STAD, HNSC, UCEC, LUSC, COAD and BRCA. The STAD box plot shows higher GOLGA8UP RNA expression in tumor versus normal tissue (log2 FC = +0.175, t-test p < 0.001).
This table shows molecular features associated with GOLGA8UP in patient tissues and cancer cell lines. In patient samples, GOLGA8UP shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
