Q-omics provides the consensus-scored GLRB profile across patient tissues and cancer cell-line models. GLRB expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, GLRB is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, GLRB RNA expression shows 18,203 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, THCA, and THYM as cancer lineages where GLRB 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 GLRB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GLRB survival associations across molecular data types. GLRB RNA expression shows survival associations in the most cancer types (28), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GLRB RNA expression–survival associations across cancer types. High GLRB expression shows unfavorable associations in UVM, BLCA, KICH, MESO and LUSC, but favorable associations in ACC. The UVM 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 UVM as the clearest survival context for GLRB RNA expression.
This table summarizes GLRB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for GLRB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GLRB shows lower tumor expression in KIRC, STAD and LUSC and higher tumor expression in THCA, KIRP and LUAD. The THCA box plot shows higher GLRB RNA expression in tumor versus normal tissue (log2 FC = +1.401, t-test p < 0.001).
This table shows molecular features associated with GLRB in patient tissues and cancer cell lines. In patient samples, GLRB shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, GLRB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BONE.
