Q-omics provides the consensus-scored GGCTP1 profile across patient tissues and cancer cell-line models. GGCTP1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, GGCTP1 is differentially expressed in 8, with the highest sampling consensus in KIRP. Additionally, GGCTP1 RNA expression shows 16,903 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, KIRP, and UVM as cancer lineages where GGCTP1 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 GGCTP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GGCTP1 survival associations across molecular data types. GGCTP1 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 GGCTP1 RNA expression–survival associations across cancer types. High GGCTP1 expression shows unfavorable associations in LGG, LUSC and GBM, but favorable associations in COAD, SARC and UCS. The LGG 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 LGG as the clearest survival context for GGCTP1 RNA expression.
This table summarizes GGCTP1 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 KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for GGCTP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GGCTP1 shows lower tumor expression in KIRP, LUSC, KICH and COAD and higher tumor expression in KIRC and STAD. The KIRP box plot shows higher GGCTP1 RNA expression in normal versus tumor tissue (log2 FC = −0.587, t-test p = .003).
This table shows molecular features associated with GGCTP1 in patient tissues and cancer cell lines. In patient samples, GGCTP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
