glutamate ionotropic receptor NMDA type subunit associated protein 1Genealiases: HNRGW · LFG1 · NMDARA1 · TMBIM3
Q-omics provides the consensus-scored GRINA profile across patient tissues and cancer cell-line models. GRINA expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, GRINA is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, GRINA RNA expression shows 17,455 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, COAD, and ACC as cancer lineages where GRINA 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 GRINA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GRINA survival associations across molecular data types. GRINA RNA expression shows survival associations in the most cancer types (29), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GRINA RNA expression–survival associations across cancer types. High GRINA expression shows unfavorable associations in UVM, LAML, HNSC and KICH, but favorable associations in LGG and PAAD. The UVM 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 UVM as the clearest survival context for GRINA RNA expression.
This table summarizes GRINA 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GRINA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GRINA shows higher tumor expression in COAD, KIRC, HNSC, STAD, LIHC and KIRP. The COAD box plot shows higher GRINA RNA expression in tumor versus normal tissue (log2 FC = +2.088, t-test p < 0.001).
This table shows molecular features associated with GRINA in patient tissues and cancer cell lines. In patient samples, GRINA shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, GRINA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
