Q-omics provides the consensus-scored MAGIX profile across patient tissues and cancer cell-line models. MAGIX expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MAGIX is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, MAGIX RNA expression shows 16,837 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, KIRC, and TGCT as cancer lineages where MAGIX 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 MAGIX — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MAGIX survival associations across molecular data types. MAGIX RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MAGIX RNA expression–survival associations across cancer types. High MAGIX expression shows unfavorable associations in UVM and SCLC, but favorable associations in HNSC, KIRC, KIRP and BLCA. The HNSC 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 HNSC as the clearest survival context for MAGIX RNA expression.
This table summarizes MAGIX 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 3. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for MAGIX. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAGIX shows lower tumor expression in KIRC, COAD, HNSC, KIRP and THCA and higher tumor expression in BRCA. The KIRC box plot shows higher MAGIX RNA expression in normal versus tumor tissue (log2 FC = −0.625, t-test p < 0.001).
This table shows molecular features associated with MAGIX in patient tissues and cancer cell lines. In patient samples, MAGIX 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, MAGIX RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BREAST.
