Q-omics provides the consensus-scored GOLGA1 profile across patient tissues and cancer cell-line models. GOLGA1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GOLGA1 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, GOLGA1 protein abundance shows 27,616 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, THCA, and GBM as cancer lineages where GOLGA1 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 GOLGA1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOLGA1 survival associations across molecular data types. GOLGA1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOLGA1 RNA expression–survival associations across cancer types. High GOLGA1 expression shows unfavorable associations in ACC, MESO, BLCA and UVM, but favorable associations in KIRC and KIRP. 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 GOLGA1 RNA expression.
This table summarizes GOLGA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 8. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for GOLGA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOLGA1 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, BRCA, LIHC and CHOL. The THCA box plot shows higher GOLGA1 RNA expression in normal versus tumor tissue (log2 FC = −1.072, t-test p < 0.001).
This table shows molecular features associated with GOLGA1 in patient tissues and cancer cell lines. In patient samples, GOLGA1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, GOLGA1 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 OVARY and UPPER_AERODIGESTIVE_TRACT.
