Q-omics provides the consensus-scored MMAA profile across patient tissues and cancer cell-line models. MMAA expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MMAA is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, MMAA RNA expression shows 19,948 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and THCA as cancer lineages where MMAA 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 MMAA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMAA survival associations across molecular data types. MMAA RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MMAA RNA expression–survival associations across cancer types. High MMAA expression shows unfavorable associations in UVM and KICH, but favorable associations in KIRC, COAD, MESO and BLCA. 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 MMAA RNA expression.
This table summarizes MMAA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for MMAA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMAA shows lower tumor expression in THCA, KICH, COAD and LIHC and higher tumor expression in STAD and KIRC. The THCA box plot shows higher MMAA RNA expression in normal versus tumor tissue (log2 FC = −0.628, t-test p < 0.001).
This table shows molecular features associated with MMAA in patient tissues and cancer cell lines. In patient samples, MMAA shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MMAA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LARGE_INTESTINE.
