MET transcriptional regulator MACC1Genealiases: 7A5 · SH3BP4L
Q-omics provides the consensus-scored MACC1 profile across patient tissues and cancer cell-line models. MACC1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MACC1 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, MACC1 RNA expression shows 18,089 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where MACC1 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 MACC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MACC1 survival associations across molecular data types. MACC1 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (7) 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 MACC1 RNA expression–survival associations across cancer types. High MACC1 expression shows unfavorable associations in UVM and LGG, but favorable associations in KIRC, KIRP, SKCM and HNSC. 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 MACC1 RNA expression.
This table summarizes MACC1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for MACC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MACC1 shows lower tumor expression in HNSC, KICH and LUSC and higher tumor expression in COAD, THCA and BLCA. The HNSC box plot shows higher MACC1 RNA expression in normal versus tumor tissue (log2 FC = −1.461, t-test p < 0.001).
This table shows molecular features associated with MACC1 in patient tissues and cancer cell lines. In patient samples, MACC1 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, MACC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LUNG_SCLC.
