gamma-aminobutyric acid type A receptor subunit beta1Genealiases: DEE45 · EIEE45
Q-omics provides the consensus-scored GABRB1 profile across patient tissues and cancer cell-line models. GABRB1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GABRB1 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, GABRB1 RNA expression shows 10,082 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, KICH, and TGCT as cancer lineages where GABRB1 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 GABRB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GABRB1 survival associations across molecular data types. GABRB1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GABRB1 RNA expression–survival associations across cancer types. High GABRB1 expression shows unfavorable associations in LIHC and MESO, but favorable associations in KIRC, KIRP, BRCA and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify KIRC as the clearest survival context for GABRB1 RNA expression.
This table summarizes GABRB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for GABRB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GABRB1 shows lower tumor expression in KICH, KIRP, KIRC and THCA and higher tumor expression in COAD and LUSC. The KICH box plot shows higher GABRB1 RNA expression in normal versus tumor tissue (log2 FC = −0.640, t-test p < 0.001).
This table shows molecular features associated with GABRB1 in patient tissues and cancer cell lines. In patient samples, GABRB1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, GABRB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
