Q-omics provides the consensus-scored RMST profile across patient tissues and cancer cell-line models. RMST expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, RMST is differentially expressed in 13, with the highest sampling consensus in KIRP. Additionally, RMST RNA expression shows 14,291 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight BRCA, KIRP, and TGCT as cancer lineages where RMST 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 RMST — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RMST survival associations across molecular data types. RMST RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RMST RNA expression–survival associations across cancer types. High RMST expression shows unfavorable associations in LGG, BLCA, READ and DLBC, but favorable associations in BRCA and KIRC. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify BRCA as the clearest survival context for RMST RNA expression.
This table summarizes RMST 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 KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for RMST. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RMST shows lower tumor expression in KIRP, LUAD, LUSC, BRCA and HNSC and higher tumor expression in LIHC. The KIRP box plot shows higher RMST RNA expression in normal versus tumor tissue (log2 FC = −0.512, t-test p < 0.001).
This table shows molecular features associated with RMST in patient tissues and cancer cell lines. In patient samples, RMST shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
