Q-omics provides the consensus-scored MEF2C-AS1 profile across patient tissues and cancer cell-line models. MEF2C-AS1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MEF2C-AS1 is differentially expressed in 13, with the highest sampling consensus in BLCA. Additionally, MEF2C-AS1 RNA expression shows 24,924 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, BLCA, and LSCC as cancer lineages where MEF2C-AS1 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 MEF2C-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MEF2C-AS1 survival associations across molecular data types. MEF2C-AS1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MEF2C-AS1 RNA expression–survival associations across cancer types. High MEF2C-AS1 expression shows unfavorable associations in KIRP and BLCA, but favorable associations in HNSC, UVM, BRCA and UCS. 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 MEF2C-AS1 RNA expression.
This table summarizes MEF2C-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for MEF2C-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MEF2C-AS1 shows lower tumor expression in BLCA, COAD, KICH, THCA, LUSC and UCEC. The BLCA box plot shows higher MEF2C-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.345, t-test p < 0.001).
This table shows molecular features associated with MEF2C-AS1 in patient tissues and cancer cell lines. In patient samples, MEF2C-AS1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
