Q-omics provides the consensus-scored M1AP profile across patient tissues and cancer cell-line models. M1AP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, M1AP is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, M1AP RNA expression shows 16,539 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, KIRC, and TGCT as cancer lineages where M1AP 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 M1AP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes M1AP survival associations across molecular data types. M1AP RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible M1AP RNA expression–survival associations across cancer types. High M1AP expression shows unfavorable associations in STAD, but favorable associations in HNSC, SKCM, KIRP, LUSC and CHOL. 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 M1AP RNA expression.
This table summarizes M1AP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for M1AP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. M1AP shows lower tumor expression in KIRC, KICH, LUAD, KIRP and LUSC and higher tumor expression in STAD. The KIRC box plot shows higher M1AP RNA expression in normal versus tumor tissue (log2 FC = −1.097, t-test p < 0.001).
This table shows molecular features associated with M1AP in patient tissues and cancer cell lines. In patient samples, M1AP 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, M1AP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
