glucagon like peptide 1 receptorGenealiases: GLP-1 · GLP-1-R · GLP-1R
Q-omics provides the consensus-scored GLP1R profile across patient tissues and cancer cell-line models. GLP1R expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GLP1R is differentially expressed in 12, with the highest sampling consensus in UCEC. Additionally, GLP1R RNA expression shows 14,142 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCEC, and TGCT as cancer lineages where GLP1R 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 GLP1R — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GLP1R survival associations across molecular data types. GLP1R RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GLP1R RNA expression–survival associations across cancer types. High GLP1R expression shows unfavorable associations in UCEC, UVM and CESC, but favorable associations in BRCA, LGG and MESO. 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 GLP1R RNA expression.
This table summarizes GLP1R tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in LUSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for GLP1R. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GLP1R shows lower tumor expression in LUSC, KICH, BRCA and LUAD and higher tumor expression in UCEC and LIHC. The UCEC box plot shows higher GLP1R RNA expression in tumor versus normal tissue (log2 FC = +0.528, t-test p = .002).
This table shows molecular features associated with GLP1R in patient tissues and cancer cell lines. In patient samples, GLP1R 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, GLP1R RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and OESOPHAGUS.
