gamma-aminobutyric acid type A receptor subunit alpha4Genealiases: []
Q-omics provides the consensus-scored GABRA4 profile across patient tissues and cancer cell-line models. GABRA4 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, GABRA4 is differentially expressed in 8, with the highest sampling consensus in KIRP. Additionally, GABRA4 RNA expression shows 11,040 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, KIRP, and GBM as cancer lineages where GABRA4 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 GABRA4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GABRA4 survival associations across molecular data types. GABRA4 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GABRA4 RNA expression–survival associations across cancer types. High GABRA4 expression shows unfavorable associations in KICH, UVM, LUSC and CHOL, but favorable associations in KIRC and COAD. The KICH 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 KICH as the clearest survival context for GABRA4 RNA expression.
This table summarizes GABRA4 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 GABRA4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GABRA4 shows lower tumor expression in KIRP, KIRC, KICH, BRCA, HNSC and LUAD. The KIRP box plot shows higher GABRA4 RNA expression in normal versus tumor tissue (log2 FC = −0.202, t-test p < 0.001).
This table shows molecular features associated with GABRA4 in patient tissues and cancer cell lines. In patient samples, GABRA4 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, GABRA4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
