Q-omics provides the consensus-scored GOLGA8IP profile across patient tissues and cancer cell-line models. GOLGA8IP expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GOLGA8IP is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, GOLGA8IP RNA expression shows 15,908 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCEC, THCA, and THYM as cancer lineages where GOLGA8IP 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 GOLGA8IP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOLGA8IP survival associations across molecular data types. GOLGA8IP RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOLGA8IP RNA expression–survival associations across cancer types. High GOLGA8IP expression shows unfavorable associations in UCEC, LUSC, KIRC, LGG, READ and STAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .007). Together, the overview and detailed table identify UCEC as the clearest survival context for GOLGA8IP RNA expression.
This table summarizes GOLGA8IP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for GOLGA8IP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOLGA8IP shows lower tumor expression in THCA, BRCA, UCEC, LUSC and LUAD and higher tumor expression in KIRC. The THCA box plot shows higher GOLGA8IP RNA expression in normal versus tumor tissue (log2 FC = −0.330, t-test p < 0.001).
This table shows molecular features associated with GOLGA8IP in patient tissues and cancer cell lines. In patient samples, GOLGA8IP 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, GOLGA8IP 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 and UPPER_AERODIGESTIVE_TRACT.
