GC-rich promoter binding protein 1Genealiases: GPBP · SSH6 · VASCULIN
Q-omics provides the consensus-scored GPBP1 profile across patient tissues and cancer cell-line models. GPBP1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GPBP1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, GPBP1 RNA expression shows 20,837 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where GPBP1 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 GPBP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GPBP1 survival associations across molecular data types. GPBP1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GPBP1 RNA expression–survival associations across cancer types. High GPBP1 expression shows unfavorable associations in KIRP, UVM and LIHC, but favorable associations in KIRC, BLCA and GBM. The KIRC 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 KIRC as the clearest survival context for GPBP1 RNA expression.
This table summarizes GPBP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GPBP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GPBP1 shows lower tumor expression in THCA and KICH and higher tumor expression in LIHC, KIRC, HNSC and CHOL. The THCA box plot shows higher GPBP1 RNA expression in normal versus tumor tissue (log2 FC = −0.473, t-test p < 0.001).
This table shows molecular features associated with GPBP1 in patient tissues and cancer cell lines. In patient samples, GPBP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, GPBP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Leukemia.
