G protein subunit alpha qGenealiases: CMAL · G-ALPHA-q · GAQ · SWS
Q-omics provides the consensus-scored GNAQ profile across patient tissues and cancer cell-line models. GNAQ expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GNAQ is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, GNAQ protein abundance shows 22,634 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, COAD, and GBM as cancer lineages where GNAQ 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 GNAQ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNAQ survival associations across molecular data types. GNAQ RNA expression shows survival associations in the most cancer types (22), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GNAQ RNA expression–survival associations across cancer types. High GNAQ expression shows unfavorable associations in MESO, ACC and BLCA, but favorable associations in KIRC, HNSC and THYM. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for GNAQ RNA expression.
This table summarizes GNAQ tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 7. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for GNAQ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNAQ shows lower tumor expression in COAD, LUAD, READ, LUSC and BLCA and higher tumor expression in LIHC. The COAD box plot shows higher GNAQ RNA expression in normal versus tumor tissue (log2 FC = −1.198, t-test p < 0.001).
This table shows molecular features associated with GNAQ in patient tissues and cancer cell lines. In patient samples, GNAQ 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, GNAQ RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
