bone gamma-carboxyglutamate proteinGenealiases: BGP · OC · OCN
Q-omics provides the consensus-scored BGLAP profile across patient tissues and cancer cell-line models. BGLAP expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BGLAP is differentially expressed in 5, with the highest sampling consensus in KIRC. Additionally, BGLAP RNA expression shows 16,736 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KIRC, and UVM as cancer lineages where BGLAP 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 BGLAP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BGLAP survival associations across molecular data types. BGLAP RNA expression shows survival associations in the most cancer types (19), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BGLAP RNA expression–survival associations across cancer types. High BGLAP expression shows unfavorable associations in ACC, COAD and KIRC, but favorable associations in HNSC, SKCM and PAAD. 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 BGLAP RNA expression.
This table summarizes BGLAP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for BGLAP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BGLAP shows lower tumor expression in COAD and higher tumor expression in KIRC, LIHC, HNSC and CHOL. The KIRC box plot shows higher BGLAP RNA expression in tumor versus normal tissue (log2 FC = +0.350, t-test p < 0.001).
This table shows molecular features associated with BGLAP in patient tissues and cancer cell lines. In patient samples, BGLAP shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, BGLAP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BREAST.
