Q-omics provides the consensus-scored MRGPRG-AS1 profile across patient tissues and cancer cell-line models. MRGPRG-AS1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, MRGPRG-AS1 is differentially expressed in 4, with the highest sampling consensus in THCA. Additionally, MRGPRG-AS1 RNA expression shows 5,484 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight READ, THCA, and STAD as cancer lineages where MRGPRG-AS1 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 MRGPRG-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MRGPRG-AS1 survival associations across molecular data types. MRGPRG-AS1 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MRGPRG-AS1 RNA expression–survival associations across cancer types. High MRGPRG-AS1 expression shows unfavorable associations in READ, COAD, BRCA, LUAD and UVM, but favorable associations in UCS. The READ Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify READ as the clearest survival context for MRGPRG-AS1 RNA expression.
This table summarizes MRGPRG-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for MRGPRG-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRGPRG-AS1 shows lower tumor expression in THCA and KIRC and higher tumor expression in BRCA and LUSC. The THCA box plot shows higher MRGPRG-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.061, t-test p = .001).
This table shows molecular features associated with MRGPRG-AS1 in patient tissues and cancer cell lines. In patient samples, MRGPRG-AS1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, MRGPRG-AS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BONE.
