Q-omics provides the consensus-scored MYOG profile across patient tissues and cancer cell-line models. MYOG 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, MYOG is differentially expressed in 5, with the highest sampling consensus in KIRC. Additionally, MYOG RNA expression shows 9,351 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, KIRC, and TGCT as cancer lineages where MYOG 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 MYOG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MYOG survival associations across molecular data types. MYOG RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MYOG RNA expression–survival associations across cancer types. High MYOG expression shows unfavorable associations in HNSC, ACC, MESO, KIRC, KIRP and PAAD. The HNSC 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 HNSC as the clearest survival context for MYOG RNA expression.
This table summarizes MYOG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MYOG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MYOG shows lower tumor expression in KIRC, KICH, HNSC and KIRP and higher tumor expression in UCEC. The KIRC box plot shows higher MYOG RNA expression in normal versus tumor tissue (log2 FC = −0.073, t-test p < 0.001).
This table shows molecular features associated with MYOG in patient tissues and cancer cell lines. In patient samples, MYOG 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, MYOG 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 PANCREAS and SOFT_TISSUE.
