MAX dimerization protein MGAGenealiases: MAD5 · MXD5 · POF26
Q-omics provides the consensus-scored MGA profile across patient tissues and cancer cell-line models. MGA expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MGA is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, MGA protein abundance shows 22,385 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, HNSC, and LSCC as cancer lineages where MGA 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 MGA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MGA survival associations across molecular data types. MGA RNA expression shows survival associations in the most cancer types (24), followed by mutation status (10) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MGA RNA expression–survival associations across cancer types. High MGA expression shows unfavorable associations in LGG, ACC and OV, but favorable associations in KIRC, HNSC and SCLC. The KIRC 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 KIRC as the clearest survival context for MGA RNA expression.
This table summarizes MGA 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 HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for MGA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MGA shows lower tumor expression in THCA and higher tumor expression in HNSC, LIHC, CHOL, STAD and LUSC. The HNSC box plot shows higher MGA RNA expression in tumor versus normal tissue (log2 FC = +0.711, t-test p < 0.001).
This table shows molecular features associated with MGA in patient tissues and cancer cell lines. In patient samples, MGA shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, MGA 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 SOFT_TISSUE and BLOOD_Leukemia.
