G protein subunit alpha LGenealiases: DYT25 · HG1O
Q-omics provides the consensus-scored GNAL profile across patient tissues and cancer cell-line models. GNAL expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GNAL is differentially expressed in 15, with the highest sampling consensus in BLCA. Additionally, GNAL RNA expression shows 17,573 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCEC, BLCA, and UVM as cancer lineages where GNAL 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 GNAL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNAL survival associations across molecular data types. GNAL RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4) 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 GNAL RNA expression–survival associations across cancer types. High GNAL expression shows unfavorable associations in UCEC, SKCM and BLCA, but favorable associations in LGG, BRCA and PAAD. The UCEC 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 UCEC as the clearest survival context for GNAL RNA expression.
This table summarizes GNAL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for GNAL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNAL shows lower tumor expression in BLCA, THCA, KICH, COAD and UCEC and higher tumor expression in LIHC. The BLCA box plot shows higher GNAL RNA expression in normal versus tumor tissue (log2 FC = −2.728, t-test p < 0.001).
This table shows molecular features associated with GNAL in patient tissues and cancer cell lines. In patient samples, GNAL 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, GNAL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
