Q-omics provides the consensus-scored GOLGA5P1 profile across patient tissues and cancer cell-line models. GOLGA5P1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, GOLGA5P1 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, GOLGA5P1 RNA expression shows 18,906 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, KIRC, and LSCC as cancer lineages where GOLGA5P1 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 GOLGA5P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOLGA5P1 survival associations across molecular data types. GOLGA5P1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOLGA5P1 RNA expression–survival associations across cancer types. High GOLGA5P1 expression shows unfavorable associations in TGCT, KIRC and ACC, but favorable associations in SKCM, ESCA and READ. The SKCM 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 SKCM as the clearest survival context for GOLGA5P1 RNA expression.
This table summarizes GOLGA5P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GOLGA5P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOLGA5P1 shows lower tumor expression in COAD and higher tumor expression in KIRC, STAD, BRCA, HNSC and ESCA. The KIRC box plot shows higher GOLGA5P1 RNA expression in tumor versus normal tissue (log2 FC = +0.077, t-test p < 0.001).
This table shows molecular features associated with GOLGA5P1 in patient tissues and cancer cell lines. In patient samples, GOLGA5P1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
