Q-omics provides the consensus-scored MAG profile across patient tissues and cancer cell-line models. MAG expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MAG is differentially expressed in 13, with the highest sampling consensus in LUAD. Additionally, MAG RNA expression shows 15,835 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, LUAD, and GBM as cancer lineages where MAG 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 MAG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MAG survival associations across molecular data types. MAG RNA expression shows survival associations in the most cancer types (20), followed by mutation status (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MAG RNA expression–survival associations across cancer types. High MAG expression shows unfavorable associations in KIRP, READ and THCA, but favorable associations in UVM, BRCA and UCS. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .004). Together, the overview and detailed table identify UVM as the clearest survival context for MAG RNA expression.
This table summarizes MAG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for MAG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAG shows lower tumor expression in LUAD, LIHC, UCEC and KIRC and higher tumor expression in THCA and BRCA. The LUAD box plot shows higher MAG RNA expression in normal versus tumor tissue (log2 FC = −0.735, t-test p < 0.001).
This table shows molecular features associated with MAG in patient tissues and cancer cell lines. In patient samples, MAG 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, MAG 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 LUNG_NSCLC_LUAD and LARGE_INTESTINE.
