methionine adenosyltransferase 1AGenealiases: MAT · MATA1 · SAMS · SAMS1
Q-omics provides the consensus-scored MAT1A profile across patient tissues and cancer cell-line models. MAT1A expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, MAT1A is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, MAT1A RNA expression shows 12,733 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRP, LIHC, and TGCT as cancer lineages where MAT1A 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 MAT1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MAT1A survival associations across molecular data types. MAT1A RNA expression shows survival associations in the most cancer types (20), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MAT1A RNA expression–survival associations across cancer types. High MAT1A expression shows unfavorable associations in KIRP, KIRC, UVM and HNSC, but favorable associations in MESO and LIHC. The KIRP 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 KIRP as the clearest survival context for MAT1A RNA expression.
This table summarizes MAT1A 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 LIHC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for MAT1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAT1A shows lower tumor expression in LIHC, KICH, THCA and CHOL and higher tumor expression in COAD and LUAD. The LIHC box plot shows higher MAT1A RNA expression in normal versus tumor tissue (log2 FC = −2.553, t-test p < 0.001).
This table shows molecular features associated with MAT1A in patient tissues and cancer cell lines. In patient samples, MAT1A 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, MAT1A 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 SKIN and LARGE_INTESTINE.
